A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes (2021)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; GALLI, GIOVANNI - ESALQ ; SABADIN, JOSÉ FELIPE GONZAGA - ESALQ ; COSTA NETO, GERMANO MARTINS FERREIRA - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/s00122-020-03726-6
- Subjects: ALGORITMOS GENÉTICOS; DELINEAMENTO EXPERIMENTAL; FENÓTIPOS; IMAGEM 3D; MELHORAMENTO GENÉTICO VEGETAL; MILHO; MODELOS MATEMÁTICOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2021
- Source:
- Título do periódico: Theoretical and Applied Genetics
- ISSN: 0040-5752
- Volume/Número/Paginação/Ano: v.134, p. 715-730, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GALLI, Giovanni et al. A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes. Theoretical and Applied Genetics, v. 134, p. 715-730, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00122-020-03726-6. Acesso em: 02 ago. 2024. -
APA
Galli, G., Sabadin, J. F. G., Costa-Neto, G. M. F., & Fritsche-Neto, R. (2021). A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes. Theoretical and Applied Genetics, 134, 715-730. doi:10.1007/s00122-020-03726-6 -
NLM
Galli G, Sabadin JFG, Costa-Neto GMF, Fritsche-Neto R. A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes [Internet]. Theoretical and Applied Genetics. 2021 ;134 715-730.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s00122-020-03726-6 -
Vancouver
Galli G, Sabadin JFG, Costa-Neto GMF, Fritsche-Neto R. A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes [Internet]. Theoretical and Applied Genetics. 2021 ;134 715-730.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s00122-020-03726-6 - EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
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Informações sobre o DOI: 10.1007/s00122-020-03726-6 (Fonte: oaDOI API)
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