Abstract
Canopy temperature based regression models were developed for the prediction of grain yield of Summer moong (Vigna radiata. W.) During the reproductive phase, all the four canopy temperature based indices viz. canopy temperature (Tc), average canopy minus air temperature (Tc-Ta), summation stress degree day (SDD) and average crop water stress index (CWST) showed a negative and significant relationship explaining 66–91 per cent variation in grain yield. These findings signify an ample scope of mid day canopy temperature as a possible tool for monitoring plant water status and grain yield prediction.
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Claims 3
Claim · model-written summary
During the reproductive phase, the four canopy temperature based indices showed a negative and significant relationship with grain yield of summer moong.
Verbatim
e0“During the reproductive phase, all the four canopy temperature based indices viz. canopy temperature (Tc), average canopy minus air temperature (Tc-Ta), summation stress degree day (SDD) and average crop water stress index (CWST) showed a negative and significant relationship”
e1“Summer moong”
e2“in grain yield”
Claim · model-written summary
The four canopy temperature based indices explained 66-91 per cent of the variation in grain yield.
Not reportedDirection
Verbatim
e0“explaining 66–91 per cent variation in grain yield”
e1“Summer moong”
Claim · model-written summary
Mid day canopy temperature has ample scope as a possible tool for monitoring plant water status and grain yield prediction.
Verbatim
e0“These findings signify an ample scope of mid day canopy temperature as a possible tool for monitoring plant water status and grain yield prediction”
e1“Summer moong”