Phenotypic data of wheat genotypes under heat stress

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Authors: Shivani Upadhyay
Cited by: 0

Abstract

This dataset contains phenotypic, NDVI, weather, and yield prediction data of wheat genotypes evaluated under timely and late sowing conditions. Field experiments were conducted across growing seasons to assess crop growth, canopy reflectance indices, meteorological variables, and grain yield responses under contrasting thermal environments. The dataset includes agronomic traits, growth stage–wise NDVI measurements, daily weather parameters, and regression-based yield prediction outputs. These data support analyses related to heat stress response, yield estimation, and crop performance evaluation in wheat.

Fields of Study & Subjects

Climate change impacts on agriculture Remote Sensing in Agriculture Genetics and Plant Breeding

Publication details

Journal / source
Harvard Dataverse
Publication date
12 January 2026
Document type
Dataset