A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study (2020)
- Authors:
- Autor USP: COSTA NETO, GERMANO MARTINS FERREIRA - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/s10681-020-2573-4
- Subjects: ARROZ; SISTEMA DE INFORMAÇÃO GEOGRÁFICA; SAVANA; FLORESTAS; INTERAÇÃO GENÓTIPO-AMBIENTE; CULTIVO DE SEQUEIRO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
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ABNT
COSTA-NETO, Germano Martins Ferreira et al. A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study. Euphytica, v. 216, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10681-020-2573-4. Acesso em: 24 abr. 2024. -
APA
Costa-Neto, G. M. F., Morais Júnior, O. P., Heinemann, A. B., Castro, A. P. de, & Duarte, J. B. (2020). A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study. Euphytica, 216, 1-16. doi:10.1007/s10681-020-2573-4 -
NLM
Costa-Neto GMF, Morais Júnior OP, Heinemann AB, Castro AP de, Duarte JB. A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study [Internet]. Euphytica. 2020 ; 216 1-16.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10681-020-2573-4 -
Vancouver
Costa-Neto GMF, Morais Júnior OP, Heinemann AB, Castro AP de, Duarte JB. A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study [Internet]. Euphytica. 2020 ; 216 1-16.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10681-020-2573-4 - Enviromics, nonlinear kernels and optimized training sets for a climate-smart genomic prediction of yield plasticity in maize
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Informações sobre o DOI: 10.1007/s10681-020-2573-4 (Fonte: oaDOI API)
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