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

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

Abstract 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 yea...

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Main Authors: Jordan McBreen, Md. Ali Babar, Diego Jarquin, Naeem Khan, Steve Harrison, Noah DeWitt, Mohamed Mergoum, Ben Lopez, Richard Boyles, Jeanette Lyerly, J. Paul Murphy, Ehsan Shakiba, Russel Sutton, Amir Ibrahim, Kimberly Howell, Jared H. Smith, Gina Brown‐Guedira, Vijay Tiwari, Nicholas Santantonio, David A. Van Sanford
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:The Plant Genome
Online Access:https://doi.org/10.1002/tpg2.20532
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https://doi.org/10.1002/tpg2.20532

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