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description Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:MDPI AG Authors:Abhishek Tripathi;
Abhishek Tripathi
Abhishek Tripathi in OpenAIREEva Pohanková;
Eva Pohanková
Eva Pohanková in OpenAIREMilan Fischer;
Milan Fischer
Milan Fischer in OpenAIREMatěj Orság;
+3 AuthorsMatěj Orság
Matěj Orság in OpenAIREAbhishek Tripathi;
Abhishek Tripathi
Abhishek Tripathi in OpenAIREEva Pohanková;
Eva Pohanková
Eva Pohanková in OpenAIREMilan Fischer;
Milan Fischer
Milan Fischer in OpenAIREMatěj Orság;
Matěj Orság
Matěj Orság in OpenAIREMiroslav Trnka;
Miroslav Trnka
Miroslav Trnka in OpenAIREKarel Klem;
Karel Klem
Karel Klem in OpenAIREMichal Marek;
Michal Marek
Michal Marek in OpenAIREdoi: 10.3390/f9040168
We evaluated the long-term pattern of leaf area index (LAI) dynamics and radiation use efficiency (RUE) in short rotation poplar in uncoppice (single stem) and coppice (multi-stem) plantations, and compared them to annual field crops (AFCs) as an alternative for bioenergy production while being more sensitive to weather fluctuation and climate change. The aim of this study was to evaluate the potential of LAI and RUE as indicators for bioenergy production and indicators of response to changing environmental conditions. For this study, we selected poplar clone J-105 (Populus nigra L. × P. maximowiczii A. Henry) and AFCs such as barley (Hordeum vulgare L.), wheat (Triticum aestivum L.), maize (Zea mays L.), and oilseed rape (Brassica napus L.), and compared their aboveground dry mass (AGDM) production in relation to their LAI development and RUE. The results of the study showed the long-term maximum LAI (LAImax) to be 9.5 in coppice poplar when compared to AFCs, where LAImax did not exceed the value 6. The RUE varied between 1.02 and 1.48 g MJ−1 in short rotation poplar and between 0.72 and 2.06 g MJ−1 in AFCs. We found both LAI and RUE contributed to AGDM production in short rotation poplar and RUE only contributed in AFCs. The study confirms that RUE may be considered an AGDM predictor of short rotation poplar and AFCs. This may be utilized for empirical estimates of yields and also contribute to improve the models of short rotation poplar and AFCs for the precise prediction of biomass accumulation in different environmental conditions.
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