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Genomic Prediction of Pumpkin Hybrid Performance.

The plant genome - 1 Jun 2019

Wu Po-Ya, Tung Chih-Wei, Lee Chieh-Ying, Liao Chen-Tuo

Abstract excerpt

Genomic prediction has become an increasingly popular tool for hybrid performance evaluation in plant breeding mainly because that it can reduce cost and accelerate a breeding program. In this study, we propose a systematic procedure to predict hybrid performance using a genomic selection (GS) model that takes both additive and dominance marker effects into account. We first demonstrate the advantage of the...

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Bayes Theorem
Computer Simulation
Cucurbita
Datasets as Topic
Hybridization, Genetic
Inheritance Patterns

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Models, Statistical

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PMID: 31290920
DOI: 10.3835/plantgenome2018.10.0082
PMCID: PMC12810009

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