Article
Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi-environment genomic prediction models incorporating spectral and thermal information.
The plant genome - 1 Mar 2025
McBreen Jordan, Babar Md Ali, Jarquin Diego, Khan Naeem, Harrison Steve, DeWitt Noah, Mergoum Mohamed, Lopez Ben, Boyles Richard, Lyerly Jeanette, Murphy J Paul, Shakiba Ehsan, Sutton Russel, Ibrahim Amir, Howell Kimberly, Smith Jared H, Brown-Guedira Gina, Tiwari Vijay, Santantonio Nicholas, Van Sanford David A
Abstract excerpt
Enhancing predictive modeling accuracy in wheat (Triticum aestivum) breeding through the integration of high-throughput phenotyping (HTP) data with genomic information is crucial for maximizing genetic gain. In this study, spanning four locations in the southeastern United States over 3 years, models to predict grain yield (GY) were investigated through different cross-validation approaches. The results...
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