Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids (2018)
- Authors:
- Autor USP: FRITSCHE NETO, ROBERTO - ESALQ
- Unidade: ESALQ
- DOI: 10.2135/cropsci2017.07.0459
- Subjects: MILHO; MELHORAMENTO GENÉTICO VEGETAL; SEQUENCIAMENTO GENÉTICO; HIBRIDAÇÃO VEGETAL; GENÔMICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Crop Science
- ISSN: 0011-183X
- Volume/Número/Paginação/Ano: v. 58, n. 4, p. 1481-1491, 2018
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
GALLI, Giovanni et al. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids. Crop Science, v. 58, n. 4, p. 1481-1491, 2018Tradução . . Disponível em: https://doi.org/10.2135/cropsci2017.07.0459. Acesso em: 17 mar. 2026. -
APA
Galli, G., Lyra, D. H., Alves, F. C., Granato, Í. S. C., Sousa, M. B. e, & Fritsche-Neto, R. (2018). Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids. Crop Science, 58( 4), 1481-1491. doi:10.2135/cropsci2017.07.0459 -
NLM
Galli G, Lyra DH, Alves FC, Granato ÍSC, Sousa MB e, Fritsche-Neto R. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids [Internet]. Crop Science. 2018 ; 58( 4): 1481-1491.[citado 2026 mar. 17 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459 -
Vancouver
Galli G, Lyra DH, Alves FC, Granato ÍSC, Sousa MB e, Fritsche-Neto R. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids [Internet]. Crop Science. 2018 ; 58( 4): 1481-1491.[citado 2026 mar. 17 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459 - Omics in plant breeding
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