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MERCI: a simple method and decision-support tool to estimate availability of nitrogen from a wide range of cover crops to the next cash crop

Authors: Constantin, Julie; Minette, Sébastien; Vericel, Gregory; Jordan-Meille, Lionel; Justes, Eric;

MERCI: a simple method and decision-support tool to estimate availability of nitrogen from a wide range of cover crops to the next cash crop

Abstract

Abstract Background and aims Cover crops can efficiently increase nitrogen (N) recycling in agroecosystems. By providing a green-manure effect for the next crop, they allow reduced mineral fertilisation. We developed a decision-support tool, called MERCI, to predict N available from cover crop residues over time, from a single measurement of fresh shoot biomass. Methods We coupled a large experimental database from France with a simulation experiment using the soil-crop model STICS. More than 25 000 measurements of 74 species of cover crops as a sole crop or bispecific mixtures were collected. Linear regression models, at the species, family or entire-database level depending on the data available, were built to predict dry biomass, N amount and C:N ratio. Dynamics of N mineralized and leaching from cover crop residues were predicted at 24 contrasting sites as a function of the biomass, carbon (C):N ratio and termination date. Results Correlations between fresh biomass, dry biomass and N amounts in experimental data were strong (r = 0.80-0.96), and predicted N amounts in fresh shoot biomass were relatively accurate. Percentages of N mineralized and leached simulated by STICS were explained mainly by the C:N ratio, site and number of months after termination, but to different degrees. Conclusion MERCI is an easy and robust decision-support tool for predicting N release in the field, and could thus be adopted by advisors and farmers to improve management of nutrient recycling in temperate arable cropping systems.

Country
France
Keywords

http://aims.fao.org/aos/agrovoc/c_24242, Mineralization, STICS model, lessivage du sol, [SDV]Life Sciences [q-bio], F60 - Physiologie et biochimie végétale, agroécologie, http://aims.fao.org/aos/agrovoc/c_15591, Biomass Green-manure Carbon Mineralization STICS model, modèle de simulation, 333, 630, plante de couverture, http://aims.fao.org/aos/agrovoc/c_3081, biomasse, http://aims.fao.org/aos/agrovoc/c_36669, Biomass, banque de données, système de culture, http://aims.fao.org/aos/agrovoc/c_16118, http://aims.fao.org/aos/agrovoc/c_1936, U10 - Informatique, mathématiques et statistiques, résidu de récolte, http://aims.fao.org/aos/agrovoc/c_4848, http://aims.fao.org/aos/agrovoc/c_24833, Green-manure, agroécosystème, Carbon, http://aims.fao.org/aos/agrovoc/c_92381, [SDV] Life Sciences [q-bio], http://aims.fao.org/aos/agrovoc/c_926, teneur en éléments minéraux, http://aims.fao.org/aos/agrovoc/c_1971, F04 - Fertilisation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
hybrid