Genomic selection: Essence, applications, and prospects DOI Creative Commons
Diana M. Escamilla, Dongdong Li, Karlene L. Negus

и другие.

The Plant Genome, Год журнала: 2025, Номер 18(2)

Опубликована: Июнь 1, 2025

Abstract Genomic selection (GS) emerged as a key part of the solution to ensure food supply for growing human population thanks advances in genotyping and other enabling technologies improved understanding genotype–phenotype relationship quantitative genetics. GS is breeding strategy predict genotypic values individuals using their data trained model. It includes four major steps: training design, model building, prediction, selection. revises traditional process by assigning phenotyping new role generating building prediction models. The increased capacity evaluate more individuals, combination with shorter cycle times, has led wide adoption plant breeding. Research studies have been conducted implement different emphases crop‐ trait‐specific applications, models, design populations, identifying factors influencing accuracy. plays roles such turbocharging gene banks, parental selection, candidate at stages cycle. can be enhanced additional types phenomics, transcriptomics, metabolomics, enviromics. In light rapid development artificial intelligence, further either upgrading entire framework or individual components. Technological advances, research innovations, emerging challenges agriculture will continue shape

Язык: Английский

Genomic selection: Essence, applications, and prospects DOI Creative Commons
Diana M. Escamilla, Dongdong Li, Karlene L. Negus

и другие.

The Plant Genome, Год журнала: 2025, Номер 18(2)

Опубликована: Июнь 1, 2025

Abstract Genomic selection (GS) emerged as a key part of the solution to ensure food supply for growing human population thanks advances in genotyping and other enabling technologies improved understanding genotype–phenotype relationship quantitative genetics. GS is breeding strategy predict genotypic values individuals using their data trained model. It includes four major steps: training design, model building, prediction, selection. revises traditional process by assigning phenotyping new role generating building prediction models. The increased capacity evaluate more individuals, combination with shorter cycle times, has led wide adoption plant breeding. Research studies have been conducted implement different emphases crop‐ trait‐specific applications, models, design populations, identifying factors influencing accuracy. plays roles such turbocharging gene banks, parental selection, candidate at stages cycle. can be enhanced additional types phenomics, transcriptomics, metabolomics, enviromics. In light rapid development artificial intelligence, further either upgrading entire framework or individual components. Technological advances, research innovations, emerging challenges agriculture will continue shape

Язык: Английский

Процитировано

0