Fonte: Crop Science. Unidade: ESALQ
Assuntos: MILHO, MELHORAMENTO GENÉTICO VEGETAL, SEQUENCIAMENTO GENÉTICO, HIBRIDAÇÃO VEGETAL, GENÔMICA
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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: 09 nov. 2025.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/cropsci2017.07.0459NLM
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 2025 nov. 09 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459Vancouver
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 2025 nov. 09 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459
