Impact of early genomic prediction for recurrent selection in an upland rice synthetic population

Autor: Cédric Baertschi, Tuong-Vi Cao, Jérôme Bartholomé, Yolima Ospina, Constanza Quintero, Julien Frouin, Jean-Marc Bouvet, Cécile Grenier
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: G3: Genes, Genomes, Genetics, Vol 11, Iss 12 (2021)
Druh dokumentu: article
ISSN: 2160-1836
DOI: 10.1093/g3journal/jkab320
Popis: AbstractPopulation breeding through recurrent selection is based on the repetition of evaluation and recombination among best-selected individuals. In this type of breeding strategy, early evaluation of selection candidates combined with genomic prediction could substantially shorten the breeding cycle length, thus increasing the rate of genetic gain. The objective of this study was to optimize early genomic prediction in an upland rice (Oryza sativa00:20:3
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