Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular marker information such as marker assisted selection (...

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Bibliographic Details
Main Authors: Reyna Persa, Martin Grondona, Diego Jarquin
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Agriculture
Subjects:
genotype-by-environment interaction (G×E)
genomic prediction (GP)
genomic prediction pipeline
genomic selection (GS)
similar sample sizes for cross-validation schemes
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Online Access:https://www.mdpi.com/2077-0472/11/10/932

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https://www.mdpi.com/2077-0472/11/10/932

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