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  • Energy Research

  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Maria Cleria Valadares Inglis; Luigi Cattivelli; Sean Mayes; Stephen Visscher; +44 Authors

    Over the past 70 years, the world has witnessed extraordinary growth in crop productivity, enabled by a suite of technological advances, including higher yielding crop varieties, improved farm management, synthetic agrochemicals, and agricultural mechanization. While this “Green Revolution” intensified crop production, and is credited with reducing famine and malnutrition, its benefits were accompanied by several undesirable collateral effects (Pingali, 2012). These include a narrowing of agricultural biodiversity, stemming from increased monoculture and greater reliance on a smaller number of crops and crop varieties for the majority of our calories. This reduction in diversity has created vulnerabilities to pest and disease epidemics, climate variation, and ultimately to human health (Harlan, 1972). The value of crop diversity has long been recognized (Vavilov, 1992). A global system of genebanks (e.g., www.genebanks.org/genebanks/) was established in the 1970s to conserve the abundant genetic variation found in traditional “landrace” varieties of crops and in crop wild relatives (Harlan, 1972). While preserving crop variation is a critical first step, the time has come to make use of this variation to breed more resilient crops. The DivSeek International Network (https://divseekintl.org/) is a scientific, not-for-profit organization that aims to accelerate such efforts.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CGIAR CGSpace (Consu...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Molecular Plant
    Article
    Data sources: UnpayWall
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Molecular Plant
    Article . 2020 . Peer-reviewed
    License: Elsevier Non-Commercial
    Data sources: Crossref
    Molecular Plant
    Article . 2021
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Ribhu Gautam; Shashank S. Nagaraja; Sultan Alturkistani; Yitong Zhai; +5 Authors

    Pyrolysis bio-oil (PBO), a renewable and sustainable alternative energy source, is gaining significant importance. PBOs are polar, viscous, and acidic in nature, which restrict their direct utilization. The blending of PBOs with fossil-based fuels in combustion processes can potentially reduce net carbon emissions. The utilization of PBOs in combustion systems warrants an understanding of their combustion chemistry, which serves as the motivation for this study. In this study, pyrolysis of a saltwater halophyte, Salicornia bigelovii, was performed to obtain PBO. Based on the PBO composition, a blend of pyrrole, furfural, and toluene was prepared as a surrogate. The combustion chemistry of a three-component surrogate comprising oxygen- and nitrogen-containing compounds is studied for the first time. To understand the gas-phase combustion chemistry of the PBO surrogate, experiments were performed in a jet-stirred reactor (JSR) at atmospheric pressure and a residence time of 2 s in the temperature range of 780–960 K (ϕ = 0.25). Also, the PBO surrogate was blended in the ratios of 10 and 20% (by wt) with a toluene/iso-octane (80/20 mol/mol) mixture and investigated to mimic the combustion of PBO with hydrocarbons. A detailed chemical kinetic mechanism was compiled using different sub-mechanisms for surrogate components. NUIGMech1.2 was used as the base mechanism. Fuel-reactant species and 17 product species were identified to understand the combustion chemistry of PBO surrogate and its blends. Furthermore, rate of production analysis was performed to understand the pathways vital for forming intermediates. In addition, the thermal stability of PBO was studied in a thermogravimetric analyzer in the temperature range of 105–750 °C in oxygen and nitrogen atmospheres. The mass loss and derivative mass loss profiles were acquired, different stages of the reactions were identified under the oxygen atmosphere, and the apparent kinetic parameters were determined via the Friedman method. ; The authors acknowledge the ...

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy & Fuelsarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Energy & Fuels
    Article . 2022 . Peer-reviewed
    License: STM Policy #29
    Data sources: Crossref
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy & Fuelsarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Energy & Fuels
      Article . 2022 . Peer-reviewed
      License: STM Policy #29
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lefers, Ryan; Davies, Philip A; Fedoroff, Nina V.; Al Madhoun, Nassar; +2 Authors

    Abstract. Control of indoor temperature and humidity is of critical concern for controlled environment agriculture systems in hot, arid regions. Evaporative cooling is a technology utilized for energy-efficient cooling and humidification of these systems. However, the evaporative cooling process consumes considerable amounts of water, as much as 80-90% of the water footprint for indoor food production in these regions. The use of saline water in place of fresh water in evaporative cooling systems offers a potential solution for greatly improving the sustainability of these systems. However, the use of saline water in industry-standard cellulose pad systems can cause premature clogging of the porous medium, leading to system failure and the need for porous media replacement. A new evaporative cooling technology consisting of crushed pozzolan volcanic rock formed into porous bricks was evaluated for use in controlled environment agriculture systems using saline water. Two brick designs were tested for proof of concept cooling of commercial-scale greenhouses. Temperature-based cooling efficiencies of the bricks were achieved that are comparable to cellulose pads. In addition, the pozzolan-based bricks showed impressive resistance to saline water and harsh environments, requiring no replacement over the duration of the experimental trials. The integration of the pozzolan evaporative cooling systems using sea or brackish water with a water-saving growing technology, such as recirculating aquaponics or hydroponics, shows promise for reducing the fresh water footprint of food raised indoors in hot, dry environments by as much as 80%-90%. Keywords: Controlled environment, Evaporative cooling, Pozzolan, Salt, Water conservation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Engineering ...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Applied Engineering in Agriculture
    Article . 2018 . Peer-reviewed
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Engineering ...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Applied Engineering in Agriculture
      Article . 2018 . Peer-reviewed
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rhiannon K. Schilling; Rhiannon K. Schilling; Bettina Berger; Stuart J. Roy; +8 Authors

    SummaryCereal varieties with improved salinity tolerance are needed to achieve profitable grain yields in saline soils. The expression of AVP1, an Arabidopsis gene encoding a vacuolar proton pumping pyrophosphatase (H+‐PPase), has been shown to improve the salinity tolerance of transgenic plants in greenhouse conditions. However, the potential for this gene to improve the grain yield of cereal crops in a saline field has yet to be evaluated. Recent advances in high‐throughput nondestructive phenotyping technologies also offer an opportunity to quantitatively evaluate the growth of transgenic plants under abiotic stress through time. In this study, the growth of transgenic barley expressing AVP1 was evaluated under saline conditions in a pot experiment using nondestructive plant imaging and in a saline field trial. Greenhouse‐grown transgenic barley expressing AVP1 produced a larger shoot biomass compared to null segregants, as determined by an increase in projected shoot area, when grown in soil with 150 mm NaCl. This increase in shoot biomass of transgenic AVP1 barley occurred from an early growth stage and also in nonsaline conditions. In a saline field, the transgenic barley expressing AVP1 also showed an increase in shoot biomass and, importantly, produced a greater grain yield per plant compared to wild‐type plants. Interestingly, the expression of AVP1 did not alter barley leaf sodium concentrations in either greenhouse‐ or field‐grown plants. This study validates our greenhouse‐based experiments and indicates that transgenic barley expressing AVP1 is a promising option for increasing cereal crop productivity in saline fields.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Plant Biotechnology ...arrow_drop_down
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    Plant Biotechnology Journal
    Article . 2013 . Peer-reviewed
    License: Wiley Online Library User Agreement
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Plant Biotechnology ...arrow_drop_down
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      Plant Biotechnology Journal
      Article . 2013 . Peer-reviewed
      License: Wiley Online Library User Agreement
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hirt, Heribert; Al-Babili, Salim; Almeida-Trapp, Marilia; Antoine, Martin; +61 Authors

    Greenhouse gas (GHG) emissions have created a global climate crisis which requires immediate interventions to mitigate the negative effects on all aspects of life on this planet. As current agriculture and land use contributes up to 25% of total GHG emissions, plant scientists take center stage in finding possible solutions for a transition to sustainable agriculture and land use. In this article, the PlantACT! (Plants for climate ACTion!) initiative of plant scientists lays out a road map of how and in which areas plant scientists can contribute to finding immediate, mid-term, and long-term solutions, and what changes are necessary to implement these solutions at the personal, institutional, and funding levels.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ King Abdullah Univer...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Trends in Plant Science
    Article . 2023 . Peer-reviewed
    License: Elsevier TDM
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    Digital.CSIC
    Article . 2023 . Peer-reviewed
    Data sources: Digital.CSIC
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ King Abdullah Univer...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Trends in Plant Science
      Article . 2023 . Peer-reviewed
      License: Elsevier TDM
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      Article . 2023 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Genc, Y.; McDonald, G.; Tester, M.;

    ABSTRACTWheat is the most important crop grown on many of world's saline and sodic soils, and breeding for improved salinity tolerance (ST) is the only feasible way of improving yield and yield stability under these conditions. There are a number of possible mechanisms by which cereals can tolerate high levels of salinity, but these can be considered in terms of Na+ exclusion and tissue tolerance. Na+ exclusion has been the focus of much of the recent work in wheat, but with relatively little progress to date in developing high‐yielding, salt‐tolerant genotypes. Using a diverse collection of bread wheat germplasm, the present study was conducted to assess the value of tissue Na+ concentration as a criterion for ST, and to determine whether ST differs with growth stage. Two experiments were conducted, the first with 38 genotypes and the second with 21 genotypes.A wide range of Na+ concentrations within the roots and shoots as well as in ST were observed in both experiments. However, maintenance of growth and yield when grown with 100 mm NaCl was not correlated with the ability of a genotype to exclude Na+ either from an individual leaf blade or from the whole shoot. The K+ : Na+ ratio also showed a wide range among the genotypes, but it did not explain the variation in ST among the genotypes. The results suggested that Na+ exclusion and tissue tolerance varied independently, and there was no significant relationship between Na+ exclusion and ST in bread wheat. Consequently, similar levels of ST may be achieved through different combinations of exclusion and tissue tolerance. Breeding for improved ST in bread wheat needs to select for traits related to both exclusion and tissue tolerance.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Plant Cell & Environ...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Plant Cell & Environment
    Article . 2007 . Peer-reviewed
    License: Wiley Online Library User Agreement
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Plant Cell & Environ...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Plant Cell & Environment
      Article . 2007 . Peer-reviewed
      License: Wiley Online Library User Agreement
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    Authors: Aljaziri, Jinan; Gautam, Ribhu; Alturkistani, Sultan H.; Fiene, Gabriele; +2 Authors

    This study focuses on understanding the effects of a CO$_2$ atmosphere on the pyrolysis of $\textit{Salicornia bigelovii}$ by performing a detailed kinetic analysis and investigating the pyrolysis products. In comparison to N$_2$ pyrolysis, CO$_2$ pyrolysis increased the amounts of acids, phenols, amines/amides and N-aromatics in the bio-oil. Biochar showed a 6.5% increase in carbon and a 5.8% decrease in oxygen due to the presence of CO$_2$ in the pyrolysis atmosphere. CO$_2$ also inhibited the volatilization of certain functional groups, such as phenols, tertiary alcohols and aromatics from the biochar, and the surface area of the biochar was 12 times larger than pyrolysis in N$_2$ atmosphere. Pyrolysis in CO$_2$ led to an increase in the average apparent activation energy from 146.5 kJ mol$^{−1}$ in N$_2$ to 163.4 kJ mol$^{−1}$. The kinetic equation was found to conform to a three dimensional diffusion mechanism. Finally, the pre-exponential factor was determined for each reaction. ; Dinara Utarbayeva and Hongwei Ren from KAUST are acknowledged for their help in growing plants and threshing the seeds. This work was sponsored by King Abdullah University of Science and Technology (KAUST). The authors thank the Clean Combustion Research Center (CCRC) at KAUST for funding and allowing access to their experimental facilities. The authors would also like to thank the Core Labs at KAUST for access to their instruments.

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    Authors: Mitchell J. L. Morton; Samir Al-Mashharawi; Magdi A. A. Mousa; Magdi A. A. Mousa; +10 Authors

    Abstract. Biomass and yield are important variables used for assessing agricultural production. However, these variables are difficult to estimate for individual plants at the farm scale and may be affected by abiotic stressors such as salinity. In this study, the wild tomato species, Solanum pimpinellifolium, was evaluated through field and UAV-based assessment of 600 control and 600 salt-treated plants. The aim of this research was to determine, if UAV-based imagery, collected one, two, four, six, seven and eight weeks before harvest could predict fresh shoot mass, tomato fruit numbers, and yield mass at harvest and if predictions varied for control and salt-treated plants. A Random Forest approach was used to model biomass and yield. The results showed that shape features such as plant area, border length, width and length had the highest importance in the random forest models. A week prior to harvest, the explained variance of fresh shoot mass, number of fruits and yield mass were 86.60%, 59.46% and 61.09%, respectively. The explained variance was reduced as a function of time to harvest. Separate models may be required for predicting yield of salt-stressed plants, whereas the prediction of yield for control plants was less affected if the model included salt-stressed plants. This research demonstrates that it is possible to predict biomass and yield of tomato plants up to four weeks prior to harvest, and potentially earlier in the absence of severe weather events.

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    Authors: Mitchell J. L. Morton; Gabriele Fiene; B. Aragon; Sónia Negrão; +10 Authors

    La biomasse et le rendement sont des variables importantes utilisées pour évaluer la production et les performances agricoles. Cependant, ces variables sont difficiles à prédire pour les plantes individuelles à l'échelle de la ferme, et les modèles de prédiction et les précisions peuvent être affectés par des stress abiotiques tels que la salinité. Dans cette étude, un panel de diversité des espèces de tomates sauvages, Solanum pimpinellifolium, a été évalué à l'aide d'une évaluation sur le terrain et d'un véhicule aérien sans pilote (UAV) de 600 plantes témoins et de 600 plantes traitées au sel. L'objectif de cette recherche était de déterminer si l'imagerie basée sur les UAV rouge-vert-bleu (RVB), recueillie une, deux, quatre, six, sept et huit semaines avant la récolte, pouvait prédire la masse de pousses fraîches, le nombre de fruits de tomate et la masse de rendement à la récolte, et si les précisions de prédiction variaient entre les plantes témoins et les plantes traitées au sel. Des images multispectrales basées sur des drones ont également été collectées une et deux semaines avant la récolte pour comparaison avec les images RVB. Une approche d'apprentissage automatique forestier aléatoire a été utilisée pour modéliser la biomasse et le rendement. Les résultats ont montré que les caractéristiques de forme telles que la surface de la plante, la longueur de la bordure, la largeur et la longueur avaient la plus grande importance dans les modèles forestiers aléatoires, suivis des indices de végétation et de la mesure de la texture de l'entropie. Les variances expliquées les plus élevées de 87,95 %, 63,88 % et 66,51 % ont été obtenues en utilisant l'imagerie multispectrale des UAV deux semaines avant la récolte pour la masse des pousses fraîches, le nombre de fruits et la masse de rendement par plante, respectivement. L'imagerie RVB de l'UAV a produit des résultats très similaires à ceux de l'imagerie multispectrale de l'UAV, avec une réduction de la variance expliquée en fonction de l'augmentation du temps de récolte. Des précisions plus élevées ont été obtenues avec des modèles séparés pour prédire le rendement des plantes stressées par le sel, alors que la prédiction du rendement pour les plantes témoins était moins affectée si le modèle incluait des plantes stressées par le sel. Cette recherche démontre qu'il est possible de prédire la biomasse et le rendement moyens jusqu'à huit semaines avant la récolte dans un délai de 4,23 % des mesures sur le terrain, et au niveau de chaque plante jusqu'à quatre semaines avant la récolte. Les résultats de ce travail peuvent être utiles pour fournir des conseils pour la prévision du rendement des plants de tomates sains et stressés par le sel, ce qui peut à son tour éclairer les pratiques de culture, la planification logistique et les opérations de vente. La biomasa y el rendimiento son variables importantes utilizadas para evaluar la producción y el rendimiento agrícola. Sin embargo, estas variables son difíciles de predecir para plantas individuales a escala de granja, y los modelos de predicción y las precisiones pueden verse afectados por tensiones abióticas como la salinidad. En este estudio, se evaluó un panel de diversidad de la especie de tomate silvestre, Solanum pimpinellifolium, a través de una evaluación basada en vehículos aéreos no tripulados (UAV) y de campo de 600 plantas control y 600 tratadas con sal. El objetivo de esta investigación fue determinar si las imágenes basadas en UAV rojo-verde-azul (RGB), recolectadas una, dos, cuatro, seis, siete y ocho semanas antes de la cosecha, podían predecir la masa de brotes frescos, el número de frutos de tomate y la masa de rendimiento en la cosecha, y si las precisiones de predicción variaban entre las plantas control y las tratadas con sal. También se recopilaron imágenes multiespectrales basadas en UAV una y dos semanas antes de la cosecha para compararlas con las imágenes RGB. Se utilizó un enfoque de aprendizaje automático de bosques aleatorios para modelar la biomasa y el rendimiento. Los resultados mostraron que las características de forma como el área de la planta, la longitud del borde, el ancho y la longitud tuvieron la mayor importancia en los modelos de bosques aleatorios, seguidos de los índices de vegetación y la medida de textura de entropía. Las variaciones más altas explicadas de 87.95%, 63.88% y 66.51% se lograron utilizando imágenes multiespectrales de UAV dos semanas antes de la cosecha para la masa de brotes frescos, el número de frutos y la masa de rendimiento por planta, respectivamente. Las imágenes de UAV RGB produjeron resultados muy similares a los de las imágenes de UAV multiespectrales, con la reducción de la varianza explicada en función del aumento del tiempo hasta la cosecha. Se lograron mayores precisiones con modelos separados para predecir el rendimiento de las plantas con estrés salino, mientras que la predicción del rendimiento para las plantas de control se vio menos afectada si el modelo incluía plantas con estrés salino. Esta investigación demuestra que es factible predecir la biomasa promedio y el rendimiento hasta ocho semanas antes de la cosecha dentro del 4.23% de las mediciones de campo, y a nivel de planta individual hasta cuatro semanas antes de la cosecha. Los resultados de este trabajo pueden ser útiles para proporcionar orientación para el pronóstico de rendimiento de plantas de tomate sanas y con estrés salino, lo que a su vez puede informar las prácticas de cultivo, la planificación logística y las operaciones de venta. Biomass and yield are important variables used for assessing agricultural production and performance. However, these variables are difficult to predict for individual plants at the farm scale, and prediction models and accuracies may be affected by abiotic stresses such as salinity. In this study, a diversity panel of the wild tomato species, Solanum pimpinellifolium, was evaluated through field- and unmanned aerial vehicle (UAV) based assessment of 600 control and 600 salt-treated plants. The aim of this research was to determine if red-green-blue (RGB) UAV-based imagery, collected one, two, four, six, seven and eight weeks before harvest could predict fresh shoot mass, tomato fruit numbers, and yield mass at harvest, and if prediction accuracies varied between control and salt-treated plants. Multi-spectral UAV-based imagery was also collected one and two weeks prior to harvest for comparison with the RGB imagery. A random forest machine learning approach was used to model biomass and yield. The results showed that shape features such as plant area, border length, width and length had the highest importance in the random forest models, followed by vegetation indices and the entropy texture measure. The highest explained variances of 87.95%, 63.88% and 66.51% were achieved using multi-spectral UAV imagery two weeks prior to harvest for fresh shoot mass, fruit numbers and yield mass per plant, respectively. The RGB UAV imagery produced very similar results to those of the multi-spectral UAV imagery, with the explained variance reducing as a function of increasing time to harvest. Higher accuracies were achieved with separate models for predicting yield of salt-stressed plants, whereas the prediction of yield for control plants was less affected if the model included salt-stressed plants. This research demonstrates that it is feasible to predict the average biomass and yield up to eight weeks prior to harvest within 4.23% of field-based measurements, and at the individual plant level up to four weeks prior to harvest. Results from this work may be useful in providing guidance for yield forecasting of healthy and salt-stressed tomato plants, which in turn may inform growing practices, logistical planning and sales operations. الكتلة الحيوية والمحصول هما متغيران مهمان يستخدمان لتقييم الإنتاج الزراعي والأداء. ومع ذلك، يصعب التنبؤ بهذه المتغيرات للنباتات الفردية على نطاق المزرعة، وقد تتأثر نماذج التنبؤ والدقة بالإجهادات اللاأحيائية مثل الملوحة. في هذه الدراسة، تم تقييم لوحة تنوع أنواع الطماطم البرية، Solanum pimpinellifolium، من خلال التقييم الميداني والطائرات بدون طيار (UAV) لـ 600 نبات تحكم و 600 نبات معالج بالملح. كان الهدف من هذا البحث هو تحديد ما إذا كانت الصور المستندة إلى الطائرات بدون طيار ذات اللون الأحمر والأخضر والأزرق (RGB)، والتي تم جمعها قبل أسبوع أو أسبوعين أو أربعة أو ستة أو سبعة أو ثمانية أسابيع من الحصاد، يمكن أن تتنبأ بكتلة البراعم الطازجة وأعداد ثمار الطماطم وكتلة الغلة عند الحصاد، وإذا كانت دقة التنبؤ تختلف بين نباتات التحكم والنباتات المعالجة بالملح. كما تم جمع الصور متعددة الأطياف المستندة إلى الطائرات بدون طيار قبل أسبوع أو أسبوعين من الحصاد للمقارنة مع صور RGB. تم استخدام نهج عشوائي للتعلم الآلي للغابات لنمذجة الكتلة الحيوية والإنتاجية. وأظهرت النتائج أن ملامح الشكل مثل مساحة النبات وطول الحدود والعرض والطول كانت لها الأهمية القصوى في نماذج الغابات العشوائية، تليها مؤشرات الغطاء النباتي وقياس نسيج الإنتروبيا. تم تحقيق أعلى الفروق الموضحة بنسبة 87.95 ٪ و 63.88 ٪ و 66.51 ٪ باستخدام صور الطائرات بدون طيار متعددة الأطياف قبل أسبوعين من الحصاد لكتلة اللقطات الطازجة وأعداد الفاكهة وكتلة الغلة لكل نبات، على التوالي. أنتجت صور الطائرات بدون طيار RGB نتائج مشابهة جدًا لتلك الخاصة بصور الطائرات بدون طيار متعددة الأطياف، مع تقليل التباين الموضح كدالة لزيادة الوقت للحصاد. تم تحقيق دقة أعلى مع نماذج منفصلة للتنبؤ بمحصول النباتات المجهدة بالملح، في حين أن التنبؤ بمحصول نباتات التحكم كان أقل تأثراً إذا تضمن النموذج نباتات مجهدة بالملح. يوضح هذا البحث أنه من الممكن التنبؤ بمتوسط الكتلة الحيوية والعائد حتى ثمانية أسابيع قبل الحصاد في حدود 4.23 ٪ من القياسات الميدانية، وعلى مستوى النبات الفردي حتى أربعة أسابيع قبل الحصاد. قد تكون نتائج هذا العمل مفيدة في توفير إرشادات للتنبؤ بغلة نباتات الطماطم الصحية والمجهدة بالملح، والتي بدورها قد تفيد الممارسات المتنامية والتخطيط اللوجستي وعمليات البيع.

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      https://dx.doi.org/10.60692/b9...
      Other literature type . 2020
      Data sources: Datacite
      https://dx.doi.org/10.60692/tg...
      Other literature type . 2020
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Simon J. Conn; Simon J. Conn; Nenah Mackenzie; Nenah Mackenzie; +26 Authors

    Summary An understanding of nitrate () uptake throughout the lifecycle of plants, and how this process responds to nitrogen (N) availability, is an important step towards the development of plants with improved nitrogen use efficiency (NUE). uptake capacity and transcript levels of putative high‐ and low‐affinity transporters (NRTs) were profiled across the lifecycle of dwarf maize (Zea mays) plants grown at reduced and adequate . Plants showed major changes in high‐affinity uptake capacity across the lifecycle, which varied with changing relative growth rates of roots and shoots. Transcript abundances of putative high‐affinity NRTs (predominantly ZmNRT2.1 and ZmNRT2.2) were correlated with two distinct peaks in high‐affinity root uptake capacity and also N availability. The reduction in supply during the lifecycle led to a dramatic increase in uptake capacity, which preceded changes in transcript levels of NRTs, suggesting a model with short‐term post‐translational regulation and longer term transcriptional regulation of uptake capacity. These observations offer new insight into the control of uptake by both plant developmental processes and N availability, and identify key control points that may be targeted by future plant improvement programmes to enhance N uptake relative to availability and/or demand.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ New Phytologistarrow_drop_down
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    New Phytologist
    Article . 2013 . Peer-reviewed
    License: Wiley Online Library User Agreement
    Data sources: Crossref
    New Phytologist
    Article . 2013
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ New Phytologistarrow_drop_down
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      New Phytologist
      Article . 2013 . Peer-reviewed
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      Article . 2013
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14 Research products
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Maria Cleria Valadares Inglis; Luigi Cattivelli; Sean Mayes; Stephen Visscher; +44 Authors

    Over the past 70 years, the world has witnessed extraordinary growth in crop productivity, enabled by a suite of technological advances, including higher yielding crop varieties, improved farm management, synthetic agrochemicals, and agricultural mechanization. While this “Green Revolution” intensified crop production, and is credited with reducing famine and malnutrition, its benefits were accompanied by several undesirable collateral effects (Pingali, 2012). These include a narrowing of agricultural biodiversity, stemming from increased monoculture and greater reliance on a smaller number of crops and crop varieties for the majority of our calories. This reduction in diversity has created vulnerabilities to pest and disease epidemics, climate variation, and ultimately to human health (Harlan, 1972). The value of crop diversity has long been recognized (Vavilov, 1992). A global system of genebanks (e.g., www.genebanks.org/genebanks/) was established in the 1970s to conserve the abundant genetic variation found in traditional “landrace” varieties of crops and in crop wild relatives (Harlan, 1972). While preserving crop variation is a critical first step, the time has come to make use of this variation to breed more resilient crops. The DivSeek International Network (https://divseekintl.org/) is a scientific, not-for-profit organization that aims to accelerate such efforts.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CGIAR CGSpace (Consu...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Molecular Plant
    Article
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Molecular Plant
    Article . 2020 . Peer-reviewed
    License: Elsevier Non-Commercial
    Data sources: Crossref
    Molecular Plant
    Article . 2021
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Ribhu Gautam; Shashank S. Nagaraja; Sultan Alturkistani; Yitong Zhai; +5 Authors

    Pyrolysis bio-oil (PBO), a renewable and sustainable alternative energy source, is gaining significant importance. PBOs are polar, viscous, and acidic in nature, which restrict their direct utilization. The blending of PBOs with fossil-based fuels in combustion processes can potentially reduce net carbon emissions. The utilization of PBOs in combustion systems warrants an understanding of their combustion chemistry, which serves as the motivation for this study. In this study, pyrolysis of a saltwater halophyte, Salicornia bigelovii, was performed to obtain PBO. Based on the PBO composition, a blend of pyrrole, furfural, and toluene was prepared as a surrogate. The combustion chemistry of a three-component surrogate comprising oxygen- and nitrogen-containing compounds is studied for the first time. To understand the gas-phase combustion chemistry of the PBO surrogate, experiments were performed in a jet-stirred reactor (JSR) at atmospheric pressure and a residence time of 2 s in the temperature range of 780–960 K (ϕ = 0.25). Also, the PBO surrogate was blended in the ratios of 10 and 20% (by wt) with a toluene/iso-octane (80/20 mol/mol) mixture and investigated to mimic the combustion of PBO with hydrocarbons. A detailed chemical kinetic mechanism was compiled using different sub-mechanisms for surrogate components. NUIGMech1.2 was used as the base mechanism. Fuel-reactant species and 17 product species were identified to understand the combustion chemistry of PBO surrogate and its blends. Furthermore, rate of production analysis was performed to understand the pathways vital for forming intermediates. In addition, the thermal stability of PBO was studied in a thermogravimetric analyzer in the temperature range of 105–750 °C in oxygen and nitrogen atmospheres. The mass loss and derivative mass loss profiles were acquired, different stages of the reactions were identified under the oxygen atmosphere, and the apparent kinetic parameters were determined via the Friedman method. ; The authors acknowledge the ...

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy & Fuelsarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Energy & Fuels
    Article . 2022 . Peer-reviewed
    License: STM Policy #29
    Data sources: Crossref
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy & Fuelsarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Energy & Fuels
      Article . 2022 . Peer-reviewed
      License: STM Policy #29
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lefers, Ryan; Davies, Philip A; Fedoroff, Nina V.; Al Madhoun, Nassar; +2 Authors

    Abstract. Control of indoor temperature and humidity is of critical concern for controlled environment agriculture systems in hot, arid regions. Evaporative cooling is a technology utilized for energy-efficient cooling and humidification of these systems. However, the evaporative cooling process consumes considerable amounts of water, as much as 80-90% of the water footprint for indoor food production in these regions. The use of saline water in place of fresh water in evaporative cooling systems offers a potential solution for greatly improving the sustainability of these systems. However, the use of saline water in industry-standard cellulose pad systems can cause premature clogging of the porous medium, leading to system failure and the need for porous media replacement. A new evaporative cooling technology consisting of crushed pozzolan volcanic rock formed into porous bricks was evaluated for use in controlled environment agriculture systems using saline water. Two brick designs were tested for proof of concept cooling of commercial-scale greenhouses. Temperature-based cooling efficiencies of the bricks were achieved that are comparable to cellulose pads. In addition, the pozzolan-based bricks showed impressive resistance to saline water and harsh environments, requiring no replacement over the duration of the experimental trials. The integration of the pozzolan evaporative cooling systems using sea or brackish water with a water-saving growing technology, such as recirculating aquaponics or hydroponics, shows promise for reducing the fresh water footprint of food raised indoors in hot, dry environments by as much as 80%-90%. Keywords: Controlled environment, Evaporative cooling, Pozzolan, Salt, Water conservation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Engineering ...arrow_drop_down
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    Applied Engineering in Agriculture
    Article . 2018 . Peer-reviewed
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Engineering ...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Applied Engineering in Agriculture
      Article . 2018 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rhiannon K. Schilling; Rhiannon K. Schilling; Bettina Berger; Stuart J. Roy; +8 Authors

    SummaryCereal varieties with improved salinity tolerance are needed to achieve profitable grain yields in saline soils. The expression of AVP1, an Arabidopsis gene encoding a vacuolar proton pumping pyrophosphatase (H+‐PPase), has been shown to improve the salinity tolerance of transgenic plants in greenhouse conditions. However, the potential for this gene to improve the grain yield of cereal crops in a saline field has yet to be evaluated. Recent advances in high‐throughput nondestructive phenotyping technologies also offer an opportunity to quantitatively evaluate the growth of transgenic plants under abiotic stress through time. In this study, the growth of transgenic barley expressing AVP1 was evaluated under saline conditions in a pot experiment using nondestructive plant imaging and in a saline field trial. Greenhouse‐grown transgenic barley expressing AVP1 produced a larger shoot biomass compared to null segregants, as determined by an increase in projected shoot area, when grown in soil with 150 mm NaCl. This increase in shoot biomass of transgenic AVP1 barley occurred from an early growth stage and also in nonsaline conditions. In a saline field, the transgenic barley expressing AVP1 also showed an increase in shoot biomass and, importantly, produced a greater grain yield per plant compared to wild‐type plants. Interestingly, the expression of AVP1 did not alter barley leaf sodium concentrations in either greenhouse‐ or field‐grown plants. This study validates our greenhouse‐based experiments and indicates that transgenic barley expressing AVP1 is a promising option for increasing cereal crop productivity in saline fields.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Plant Biotechnology ...arrow_drop_down
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    Plant Biotechnology Journal
    Article . 2013 . Peer-reviewed
    License: Wiley Online Library User Agreement
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Plant Biotechnology ...arrow_drop_down
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      Plant Biotechnology Journal
      Article . 2013 . Peer-reviewed
      License: Wiley Online Library User Agreement
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hirt, Heribert; Al-Babili, Salim; Almeida-Trapp, Marilia; Antoine, Martin; +61 Authors

    Greenhouse gas (GHG) emissions have created a global climate crisis which requires immediate interventions to mitigate the negative effects on all aspects of life on this planet. As current agriculture and land use contributes up to 25% of total GHG emissions, plant scientists take center stage in finding possible solutions for a transition to sustainable agriculture and land use. In this article, the PlantACT! (Plants for climate ACTion!) initiative of plant scientists lays out a road map of how and in which areas plant scientists can contribute to finding immediate, mid-term, and long-term solutions, and what changes are necessary to implement these solutions at the personal, institutional, and funding levels.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ King Abdullah Univer...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Trends in Plant Science
    Article . 2023 . Peer-reviewed
    License: Elsevier TDM
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    Digital.CSIC
    Article . 2023 . Peer-reviewed
    Data sources: Digital.CSIC
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ King Abdullah Univer...arrow_drop_down
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      Trends in Plant Science
      Article . 2023 . Peer-reviewed
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      Digital.CSIC
      Article . 2023 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Genc, Y.; McDonald, G.; Tester, M.;

    ABSTRACTWheat is the most important crop grown on many of world's saline and sodic soils, and breeding for improved salinity tolerance (ST) is the only feasible way of improving yield and yield stability under these conditions. There are a number of possible mechanisms by which cereals can tolerate high levels of salinity, but these can be considered in terms of Na+ exclusion and tissue tolerance. Na+ exclusion has been the focus of much of the recent work in wheat, but with relatively little progress to date in developing high‐yielding, salt‐tolerant genotypes. Using a diverse collection of bread wheat germplasm, the present study was conducted to assess the value of tissue Na+ concentration as a criterion for ST, and to determine whether ST differs with growth stage. Two experiments were conducted, the first with 38 genotypes and the second with 21 genotypes.A wide range of Na+ concentrations within the roots and shoots as well as in ST were observed in both experiments. However, maintenance of growth and yield when grown with 100 mm NaCl was not correlated with the ability of a genotype to exclude Na+ either from an individual leaf blade or from the whole shoot. The K+ : Na+ ratio also showed a wide range among the genotypes, but it did not explain the variation in ST among the genotypes. The results suggested that Na+ exclusion and tissue tolerance varied independently, and there was no significant relationship between Na+ exclusion and ST in bread wheat. Consequently, similar levels of ST may be achieved through different combinations of exclusion and tissue tolerance. Breeding for improved ST in bread wheat needs to select for traits related to both exclusion and tissue tolerance.

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    Plant Cell & Environment
    Article . 2007 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Plant Cell & Environment
      Article . 2007 . Peer-reviewed
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    Authors: Aljaziri, Jinan; Gautam, Ribhu; Alturkistani, Sultan H.; Fiene, Gabriele; +2 Authors

    This study focuses on understanding the effects of a CO$_2$ atmosphere on the pyrolysis of $\textit{Salicornia bigelovii}$ by performing a detailed kinetic analysis and investigating the pyrolysis products. In comparison to N$_2$ pyrolysis, CO$_2$ pyrolysis increased the amounts of acids, phenols, amines/amides and N-aromatics in the bio-oil. Biochar showed a 6.5% increase in carbon and a 5.8% decrease in oxygen due to the presence of CO$_2$ in the pyrolysis atmosphere. CO$_2$ also inhibited the volatilization of certain functional groups, such as phenols, tertiary alcohols and aromatics from the biochar, and the surface area of the biochar was 12 times larger than pyrolysis in N$_2$ atmosphere. Pyrolysis in CO$_2$ led to an increase in the average apparent activation energy from 146.5 kJ mol$^{−1}$ in N$_2$ to 163.4 kJ mol$^{−1}$. The kinetic equation was found to conform to a three dimensional diffusion mechanism. Finally, the pre-exponential factor was determined for each reaction. ; Dinara Utarbayeva and Hongwei Ren from KAUST are acknowledged for their help in growing plants and threshing the seeds. This work was sponsored by King Abdullah University of Science and Technology (KAUST). The authors thank the Clean Combustion Research Center (CCRC) at KAUST for funding and allowing access to their experimental facilities. The authors would also like to thank the Core Labs at KAUST for access to their instruments.

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    Bioresource Technology Reports
    Article . 2022 . Peer-reviewed
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      Bioresource Technology Reports
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mitchell J. L. Morton; Samir Al-Mashharawi; Magdi A. A. Mousa; Magdi A. A. Mousa; +10 Authors

    Abstract. Biomass and yield are important variables used for assessing agricultural production. However, these variables are difficult to estimate for individual plants at the farm scale and may be affected by abiotic stressors such as salinity. In this study, the wild tomato species, Solanum pimpinellifolium, was evaluated through field and UAV-based assessment of 600 control and 600 salt-treated plants. The aim of this research was to determine, if UAV-based imagery, collected one, two, four, six, seven and eight weeks before harvest could predict fresh shoot mass, tomato fruit numbers, and yield mass at harvest and if predictions varied for control and salt-treated plants. A Random Forest approach was used to model biomass and yield. The results showed that shape features such as plant area, border length, width and length had the highest importance in the random forest models. A week prior to harvest, the explained variance of fresh shoot mass, number of fruits and yield mass were 86.60%, 59.46% and 61.09%, respectively. The explained variance was reduced as a function of time to harvest. Separate models may be required for predicting yield of salt-stressed plants, whereas the prediction of yield for control plants was less affected if the model included salt-stressed plants. This research demonstrates that it is possible to predict biomass and yield of tomato plants up to four weeks prior to harvest, and potentially earlier in the absence of severe weather events.

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    https://dx.doi.org/10.60692/2y...
    Other literature type . 2019
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    https://dx.doi.org/10.60692/mm...
    Other literature type . 2019
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    Authors: Mitchell J. L. Morton; Gabriele Fiene; B. Aragon; Sónia Negrão; +10 Authors

    La biomasse et le rendement sont des variables importantes utilisées pour évaluer la production et les performances agricoles. Cependant, ces variables sont difficiles à prédire pour les plantes individuelles à l'échelle de la ferme, et les modèles de prédiction et les précisions peuvent être affectés par des stress abiotiques tels que la salinité. Dans cette étude, un panel de diversité des espèces de tomates sauvages, Solanum pimpinellifolium, a été évalué à l'aide d'une évaluation sur le terrain et d'un véhicule aérien sans pilote (UAV) de 600 plantes témoins et de 600 plantes traitées au sel. L'objectif de cette recherche était de déterminer si l'imagerie basée sur les UAV rouge-vert-bleu (RVB), recueillie une, deux, quatre, six, sept et huit semaines avant la récolte, pouvait prédire la masse de pousses fraîches, le nombre de fruits de tomate et la masse de rendement à la récolte, et si les précisions de prédiction variaient entre les plantes témoins et les plantes traitées au sel. Des images multispectrales basées sur des drones ont également été collectées une et deux semaines avant la récolte pour comparaison avec les images RVB. Une approche d'apprentissage automatique forestier aléatoire a été utilisée pour modéliser la biomasse et le rendement. Les résultats ont montré que les caractéristiques de forme telles que la surface de la plante, la longueur de la bordure, la largeur et la longueur avaient la plus grande importance dans les modèles forestiers aléatoires, suivis des indices de végétation et de la mesure de la texture de l'entropie. Les variances expliquées les plus élevées de 87,95 %, 63,88 % et 66,51 % ont été obtenues en utilisant l'imagerie multispectrale des UAV deux semaines avant la récolte pour la masse des pousses fraîches, le nombre de fruits et la masse de rendement par plante, respectivement. L'imagerie RVB de l'UAV a produit des résultats très similaires à ceux de l'imagerie multispectrale de l'UAV, avec une réduction de la variance expliquée en fonction de l'augmentation du temps de récolte. Des précisions plus élevées ont été obtenues avec des modèles séparés pour prédire le rendement des plantes stressées par le sel, alors que la prédiction du rendement pour les plantes témoins était moins affectée si le modèle incluait des plantes stressées par le sel. Cette recherche démontre qu'il est possible de prédire la biomasse et le rendement moyens jusqu'à huit semaines avant la récolte dans un délai de 4,23 % des mesures sur le terrain, et au niveau de chaque plante jusqu'à quatre semaines avant la récolte. Les résultats de ce travail peuvent être utiles pour fournir des conseils pour la prévision du rendement des plants de tomates sains et stressés par le sel, ce qui peut à son tour éclairer les pratiques de culture, la planification logistique et les opérations de vente. La biomasa y el rendimiento son variables importantes utilizadas para evaluar la producción y el rendimiento agrícola. Sin embargo, estas variables son difíciles de predecir para plantas individuales a escala de granja, y los modelos de predicción y las precisiones pueden verse afectados por tensiones abióticas como la salinidad. En este estudio, se evaluó un panel de diversidad de la especie de tomate silvestre, Solanum pimpinellifolium, a través de una evaluación basada en vehículos aéreos no tripulados (UAV) y de campo de 600 plantas control y 600 tratadas con sal. El objetivo de esta investigación fue determinar si las imágenes basadas en UAV rojo-verde-azul (RGB), recolectadas una, dos, cuatro, seis, siete y ocho semanas antes de la cosecha, podían predecir la masa de brotes frescos, el número de frutos de tomate y la masa de rendimiento en la cosecha, y si las precisiones de predicción variaban entre las plantas control y las tratadas con sal. También se recopilaron imágenes multiespectrales basadas en UAV una y dos semanas antes de la cosecha para compararlas con las imágenes RGB. Se utilizó un enfoque de aprendizaje automático de bosques aleatorios para modelar la biomasa y el rendimiento. Los resultados mostraron que las características de forma como el área de la planta, la longitud del borde, el ancho y la longitud tuvieron la mayor importancia en los modelos de bosques aleatorios, seguidos de los índices de vegetación y la medida de textura de entropía. Las variaciones más altas explicadas de 87.95%, 63.88% y 66.51% se lograron utilizando imágenes multiespectrales de UAV dos semanas antes de la cosecha para la masa de brotes frescos, el número de frutos y la masa de rendimiento por planta, respectivamente. Las imágenes de UAV RGB produjeron resultados muy similares a los de las imágenes de UAV multiespectrales, con la reducción de la varianza explicada en función del aumento del tiempo hasta la cosecha. Se lograron mayores precisiones con modelos separados para predecir el rendimiento de las plantas con estrés salino, mientras que la predicción del rendimiento para las plantas de control se vio menos afectada si el modelo incluía plantas con estrés salino. Esta investigación demuestra que es factible predecir la biomasa promedio y el rendimiento hasta ocho semanas antes de la cosecha dentro del 4.23% de las mediciones de campo, y a nivel de planta individual hasta cuatro semanas antes de la cosecha. Los resultados de este trabajo pueden ser útiles para proporcionar orientación para el pronóstico de rendimiento de plantas de tomate sanas y con estrés salino, lo que a su vez puede informar las prácticas de cultivo, la planificación logística y las operaciones de venta. Biomass and yield are important variables used for assessing agricultural production and performance. However, these variables are difficult to predict for individual plants at the farm scale, and prediction models and accuracies may be affected by abiotic stresses such as salinity. In this study, a diversity panel of the wild tomato species, Solanum pimpinellifolium, was evaluated through field- and unmanned aerial vehicle (UAV) based assessment of 600 control and 600 salt-treated plants. The aim of this research was to determine if red-green-blue (RGB) UAV-based imagery, collected one, two, four, six, seven and eight weeks before harvest could predict fresh shoot mass, tomato fruit numbers, and yield mass at harvest, and if prediction accuracies varied between control and salt-treated plants. Multi-spectral UAV-based imagery was also collected one and two weeks prior to harvest for comparison with the RGB imagery. A random forest machine learning approach was used to model biomass and yield. The results showed that shape features such as plant area, border length, width and length had the highest importance in the random forest models, followed by vegetation indices and the entropy texture measure. The highest explained variances of 87.95%, 63.88% and 66.51% were achieved using multi-spectral UAV imagery two weeks prior to harvest for fresh shoot mass, fruit numbers and yield mass per plant, respectively. The RGB UAV imagery produced very similar results to those of the multi-spectral UAV imagery, with the explained variance reducing as a function of increasing time to harvest. Higher accuracies were achieved with separate models for predicting yield of salt-stressed plants, whereas the prediction of yield for control plants was less affected if the model included salt-stressed plants. This research demonstrates that it is feasible to predict the average biomass and yield up to eight weeks prior to harvest within 4.23% of field-based measurements, and at the individual plant level up to four weeks prior to harvest. Results from this work may be useful in providing guidance for yield forecasting of healthy and salt-stressed tomato plants, which in turn may inform growing practices, logistical planning and sales operations. الكتلة الحيوية والمحصول هما متغيران مهمان يستخدمان لتقييم الإنتاج الزراعي والأداء. ومع ذلك، يصعب التنبؤ بهذه المتغيرات للنباتات الفردية على نطاق المزرعة، وقد تتأثر نماذج التنبؤ والدقة بالإجهادات اللاأحيائية مثل الملوحة. في هذه الدراسة، تم تقييم لوحة تنوع أنواع الطماطم البرية، Solanum pimpinellifolium، من خلال التقييم الميداني والطائرات بدون طيار (UAV) لـ 600 نبات تحكم و 600 نبات معالج بالملح. كان الهدف من هذا البحث هو تحديد ما إذا كانت الصور المستندة إلى الطائرات بدون طيار ذات اللون الأحمر والأخضر والأزرق (RGB)، والتي تم جمعها قبل أسبوع أو أسبوعين أو أربعة أو ستة أو سبعة أو ثمانية أسابيع من الحصاد، يمكن أن تتنبأ بكتلة البراعم الطازجة وأعداد ثمار الطماطم وكتلة الغلة عند الحصاد، وإذا كانت دقة التنبؤ تختلف بين نباتات التحكم والنباتات المعالجة بالملح. كما تم جمع الصور متعددة الأطياف المستندة إلى الطائرات بدون طيار قبل أسبوع أو أسبوعين من الحصاد للمقارنة مع صور RGB. تم استخدام نهج عشوائي للتعلم الآلي للغابات لنمذجة الكتلة الحيوية والإنتاجية. وأظهرت النتائج أن ملامح الشكل مثل مساحة النبات وطول الحدود والعرض والطول كانت لها الأهمية القصوى في نماذج الغابات العشوائية، تليها مؤشرات الغطاء النباتي وقياس نسيج الإنتروبيا. تم تحقيق أعلى الفروق الموضحة بنسبة 87.95 ٪ و 63.88 ٪ و 66.51 ٪ باستخدام صور الطائرات بدون طيار متعددة الأطياف قبل أسبوعين من الحصاد لكتلة اللقطات الطازجة وأعداد الفاكهة وكتلة الغلة لكل نبات، على التوالي. أنتجت صور الطائرات بدون طيار RGB نتائج مشابهة جدًا لتلك الخاصة بصور الطائرات بدون طيار متعددة الأطياف، مع تقليل التباين الموضح كدالة لزيادة الوقت للحصاد. تم تحقيق دقة أعلى مع نماذج منفصلة للتنبؤ بمحصول النباتات المجهدة بالملح، في حين أن التنبؤ بمحصول نباتات التحكم كان أقل تأثراً إذا تضمن النموذج نباتات مجهدة بالملح. يوضح هذا البحث أنه من الممكن التنبؤ بمتوسط الكتلة الحيوية والعائد حتى ثمانية أسابيع قبل الحصاد في حدود 4.23 ٪ من القياسات الميدانية، وعلى مستوى النبات الفردي حتى أربعة أسابيع قبل الحصاد. قد تكون نتائج هذا العمل مفيدة في توفير إرشادات للتنبؤ بغلة نباتات الطماطم الصحية والمجهدة بالملح، والتي بدورها قد تفيد الممارسات المتنامية والتخطيط اللوجستي وعمليات البيع.

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    Authors: Simon J. Conn; Simon J. Conn; Nenah Mackenzie; Nenah Mackenzie; +26 Authors

    Summary An understanding of nitrate () uptake throughout the lifecycle of plants, and how this process responds to nitrogen (N) availability, is an important step towards the development of plants with improved nitrogen use efficiency (NUE). uptake capacity and transcript levels of putative high‐ and low‐affinity transporters (NRTs) were profiled across the lifecycle of dwarf maize (Zea mays) plants grown at reduced and adequate . Plants showed major changes in high‐affinity uptake capacity across the lifecycle, which varied with changing relative growth rates of roots and shoots. Transcript abundances of putative high‐affinity NRTs (predominantly ZmNRT2.1 and ZmNRT2.2) were correlated with two distinct peaks in high‐affinity root uptake capacity and also N availability. The reduction in supply during the lifecycle led to a dramatic increase in uptake capacity, which preceded changes in transcript levels of NRTs, suggesting a model with short‐term post‐translational regulation and longer term transcriptional regulation of uptake capacity. These observations offer new insight into the control of uptake by both plant developmental processes and N availability, and identify key control points that may be targeted by future plant improvement programmes to enhance N uptake relative to availability and/or demand.

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