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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主要な著者:	Reyna Persa, Martin Grondona, Diego Jarquin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-09-01
シリーズ:	Agriculture
主題:	genotype-by-environment interaction (G×E) genomic prediction (GP) genomic prediction pipeline genomic selection (GS) similar sample sizes for cross-validation schemes SoyNAM
オンライン･アクセス:	https://www.mdpi.com/2077-0472/11/10/932
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