Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance (2024)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; PRADO, MELINA - ESALQ
- Unidade: ESALQ
- DOI: 10.3389/fpls.2024.1458701
- Subjects: APRENDIZADO COMPUTACIONAL; ARROZ; CLIMA; INTERAÇÃO GENÓTIPO-AMBIENTE; MODELOS MATEMÁTICOS; SOLOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Plant Science
- ISSN: 1664-462X
- Volume/Número/Paginação/Ano: v. 15, art. 1458701, p. 1-13, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PRADO, Melina et al. Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance. Frontiers in Plant Science, v. 15, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.3389/fpls.2024.1458701. Acesso em: 09 fev. 2026. -
APA
Prado, M., Famoso, A., Guidry, K., & Fritsche-Neto, R. (2024). Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance. Frontiers in Plant Science, 15, 1-13. doi:10.3389/fpls.2024.1458701 -
NLM
Prado M, Famoso A, Guidry K, Fritsche-Neto R. Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance [Internet]. Frontiers in Plant Science. 2024 ; 15 1-13.[citado 2026 fev. 09 ] Available from: https://doi.org/10.3389/fpls.2024.1458701 -
Vancouver
Prado M, Famoso A, Guidry K, Fritsche-Neto R. Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance [Internet]. Frontiers in Plant Science. 2024 ; 15 1-13.[citado 2026 fev. 09 ] Available from: https://doi.org/10.3389/fpls.2024.1458701 - Elite germplasm introduction, training set composition, and genetic optimization algorithms effect on genomic selection‐based breeding programs
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Informações sobre o DOI: 10.3389/fpls.2024.1458701 (Fonte: oaDOI API)
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