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Article

Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat.

BMC genomics - 12 Apr 2022

Shahi Dipendra, Guo Jia, Pradhan Sumit, Khan Jahangir, Avci Muhsin, Khan Naeem, McBreen Jordan, Bai Guihua, Reynolds Matthew, Foulkes John, Babar Md Ali

Abstract excerpt

BACKGROUND: Recently genomic selection (GS) has emerged as an important tool for plant breeders to select superior genotypes. Multi-trait (MT) prediction model provides an opportunity to improve the predictive ability of expensive and labor-intensive traits. In this study, we assessed the potential use of a MT genomic prediction model by incorporating two physiological traits (canopy temperature, CT and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 35413795
DOI: 10.1186/s12864-022-08487-8
PMCID: PMC9004054

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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