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Article

Genomic prediction of maize microphenotypes provides insights for optimizing selection and mining diversity.

Plant biotechnology journal - 1 Dec 2020

Yu Xiaoqing, Leiboff Samuel, Li Xianran, Guo Tingting, Ronning Natalie, Zhang Xiaoyu, Muehlbauer Gary J, Timmermans Marja C P, Schnable Patrick S, Scanlon Michael J, Yu Jianming

Abstract excerpt

Effective evaluation of millions of crop genetic stocks is an essential component of exploiting genetic diversity to achieve global food security. By leveraging genomics and data analytics, genomic prediction is a promising strategy to efficiently explore the potential of these gene banks by starting with phenotyping a small designed subset. Reliable genomic predictions have enhanced selection of many macroscopic...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Polymorphism, Single Nucleotide

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Source

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Identifiers

PMID: 32452105
DOI: 10.1111/pbi.13420
PMCID: PMC7680549

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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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