Work

Prediction of grain yield of wheat using canopy temperature based indices*

Year: 2010
Type: article
Abstract: Canopy temperature based regression models were developed for the prediction of grain yield of wheat. During the reproductive phase, all the canopy temperature based indices viz., canopy temperature (Tc), average canopy minus air temperature (Tc-Ta) and summation stress degree days (SDD) showed a negative and significant relationship explaining 71-87% 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.
Language: English
Subfield: Ecology
Open Access status: diamond
OpenAlex ID: W2345478698
FWCI:
Cites: 4
Cited by: 8
Related to: 10