Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity.
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ABSTRACT:
SUBMITTER: Liu C
PROVIDER: S-EPMC6330949 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
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Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity.
Liu Chuang C Liu Yi Y Lu Yanhong Y Liao Yulin Y Nie Jun J Yuan Xiaoliang X Chen Fang F
PeerJ 20190111
Improving the accuracy of predicting plant productivity is a key element in planning nutrient management strategies to ensure a balance between nutrient supply and demand under climate change. A calculation based on intercepted photosynthetically active radiation is an effective and relatively reliable way to determine the climate impact on a crop above-ground biomass (AGB). This research shows that using variations in a chlorophyll content index (CCI) in a mathematical function could effectivel ...[more]
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