Population improvement via recurrent selection drives genetic gain in upland rice breeding.


Journal

Heredity
ISSN: 1365-2540
Titre abrégé: Heredity (Edinb)
Pays: England
ID NLM: 0373007

Informations de publication

Date de publication:
09 2023
Historique:
received: 05 10 2022
accepted: 19 06 2023
revised: 16 06 2023
pmc-release: 01 09 2024
medline: 31 8 2023
pubmed: 6 7 2023
entrez: 5 7 2023
Statut: ppublish

Résumé

One of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to identify promising genotypes. In rice, population improvement through recurrent selection has been used very little to date, except in Latin America. At Embrapa (Brazilian Agricultural Research Corporation), the upland rice breeding program is conducted in two phases: population improvement followed by product development. In this study, the CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. A high rate of genetic gain was observed for grain yield, at 215 kg.ha

Identifiants

pubmed: 37407693
doi: 10.1038/s41437-023-00636-3
pii: 10.1038/s41437-023-00636-3
pmc: PMC10462700
doi:

Banques de données

Dryad
['10.5061/dryad.1g1jwsv28']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

201-210

Informations de copyright

© 2023. The Author(s), under exclusive licence to The Genetics Society.

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Auteurs

Adriano Pereira de Castro (A)

Embrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil. adriano.castro@embrapa.br.

Flávio Breseghello (F)

Embrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil.

Isabela Volpi Furtini (IV)

Embrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil.

Marley Marico Utumi (MM)

Embrapa Rondonia, Vilhena, Rondônia, Brazil.

José Almeida Pereira (JA)

Embrapa Meio Norte, Teresina, Piauí, Brazil.

Tuong-Vi Cao (TV)

AGAP Institut, Univ Montpellier, CIRAD, INRAE, Montpellier SupAgro, Montpellier, France.
CIRAD, UMR AGAP Institut, F-34398, Montpellier, France.

Jérôme Bartholomé (J)

AGAP Institut, Univ Montpellier, CIRAD, INRAE, Montpellier SupAgro, Montpellier, France.
CIRAD, UMR AGAP Institut, F-34398, Montpellier, France.
Alliance Bioversity-CIAT, Cali, Colombia.

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Classifications MeSH