Costa-Neto, Germano; Crossa, Jose; Fritsche-Neto, Roberto 
Fonte: Frontiers in Plant Science. Unidade: ESALQ
Assuntos: MILHO, GENÔMICA, INTERAÇÃO GENÓTIPO-AMBIENTE, GENÉTICA QUANTITATIVA, FENÓTIPOS, CLIMA
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COSTA-NETO, Germano e CROSSA, Jose e FRITSCHE-NETO, Roberto. Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize. Frontiers in Plant Science, v. 12, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3389/fpls.2021.717552. Acesso em: 09 nov. 2025.APA
Costa-Neto, G., Crossa, J., & Fritsche-Neto, R. (2021). Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize. Frontiers in Plant Science, 12, 1-21. doi:10.3389/fpls.2021.717552NLM
Costa-Neto G, Crossa J, Fritsche-Neto R. Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize [Internet]. Frontiers in Plant Science. 2021 ; 12 1-21.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3389/fpls.2021.717552Vancouver
Costa-Neto G, Crossa J, Fritsche-Neto R. Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize [Internet]. Frontiers in Plant Science. 2021 ; 12 1-21.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3389/fpls.2021.717552
