Journal of Agrometeorology (Jun 2010)

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

  • P. K. KINGRA,
  • R. K. MAHEY,
  • K. K. GILL,
  • J. MUKHERJEE,
  • S. K. BAL

DOI
https://doi.org/10.54386/jam.v12i1.1270
Journal volume & issue
Vol. 12, no. 1

Abstract

Read online

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.

Keywords