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. 2024 May 30;15:1410249. doi: 10.3389/fpls.2024.1410249

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Copyright © 2024 Kaushal, Gill, Billah, Khan, Halder, Bernardo, Amand, Bai, Glover, Maimaitijiang and Sehgal

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Prediction accuracy for grain Yield (GY) using Single-Trait GBLUP (ST-GBLUP) with cross-validation scheme ST-CV1 and Multi-Trait GBLUP (MT-GBLUP) incorporating High-Throughput Phenotyping (HTP)-based traits with cross-validation scheme MT-CV2 across different growth stages (Feekes 6: Jointing, Feekes 8: Flag leaf, Feekes 10: Booting, Feekes 11: Milky ripe). The x-axis presents respective prediction accuracy, and the y-axis presents MT models with different combinations of HTP-based traits as covariates and ST-GBLUP at the bottom as baseline for comparison.