The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations (2020)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; MENDONÇA, LEANDRO DE FREITAS - ESALQ
- Unidade: ESALQ
- DOI: 10.1002/csc2.20267
- Subjects: GENÔMICA; LINHAGENS VEGETAIS; MELHORAMENTO GENÉTICO VEGETAL; POPULAÇÕES VEGETAIS; SELEÇÃO GENÉTICA; SOJA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Crop Science
- ISSN: 0011-183X
- Volume/Número/Paginação/Ano: online, p. 1-22, July 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MENDONÇA, Leandro de Freitas e FRITSCHE‐NETO, Roberto. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations. Crop Science, p. 1-22, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20267. Acesso em: 13 fev. 2026. -
APA
Mendonça, L. de F., & Fritsche‐Neto, R. (2020). The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations. Crop Science, 1-22. doi:10.1002/csc2.20267 -
NLM
Mendonça L de F, Fritsche‐Neto R. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations [Internet]. Crop Science. 2020 ; 1-22.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1002/csc2.20267 -
Vancouver
Mendonça L de F, Fritsche‐Neto R. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations [Internet]. Crop Science. 2020 ; 1-22.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1002/csc2.20267 - Genomic prediction enables early but low-intensity selection in soybean segregating progenies
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Informações sobre o DOI: 10.1002/csc2.20267 (Fonte: oaDOI API)
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