作者: Usha Mina , Ram Kumar , Robin Gogoi , Arti Bhatia , R.C. Harit
DOI: 10.1016/J.ECOLIND.2017.08.060
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摘要: Abstract Reports on the adverse impacts of climate change growth and productivity crops due to elevated temperature carbon dioxide concentration ([CO2]) is persistently raising need for development tools assess response factors. In present study, Crop Health Index (CHI) was generated maize genotypes under [CO2]. Under field condition, in open top chambers PEHM 5 CM 119 throughout their crop period were treated with two [CO2] levels: ambient (400 ppm) (550 ± 20 ppm) three ambient, +1.5 °C +3 °C. Response monitored through thirteen stress indicator parameters – morphological, physiological biochemical at stages vegetative, tasselling dent. Yield both each treatment recorded maturity. The data used delineate minimum dataset (MDS) responsive combinations treatments principal component analysis (PCA). Out indicators, total dry biomass, phenol content, relative leaf water content photosynthetic rate found be having higher frequencies MDS all stages. Parameters selected transformed get linear score (Si) using a scoring method weighing factor (Wf) value. Then, average ( S i ¯ ) [(Si)] weightage W generate CHI. Results indicated that CHI different varied between 0.14–0.93. Average significantly related yield R2 0.82 0.90, respectively. It observed increase had detrimental effect 0.20 0.53, On contrary, amelioration highest 0.46 0.75,