Phenotypic data of wheat genotypes under heat stress
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