Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data (2023)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; YASSUE, RAFAEL MASSAHIRO - ESALQ ; GALLI, GIOVANNI - ESALQ
- Unidade: ESALQ
- DOI: 10.1002/csc2.20836
- Subjects: ANÁLISE ESPECTRAL; BACTÉRIAS; ESTIMULANTES DE CRESCIMENTO VEGETAL; GENÔMICA; INOCULAÇÃO; MILHO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Crop Science
- ISSN: 0011-183X
- Volume/Número/Paginação/Ano: v.63, p.88-100,2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
YASSUE, Rafael Massahiro et al. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data. Crop Science, v. 63, p. 88-100, 2023Tradução . . Disponível em: https://doi.org/10.1002/csc2.20836. Acesso em: 11 fev. 2026. -
APA
Yassue, R. M., Galli, G., Fritsche‐Neto, R., & Morota, G. (2023). Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data. Crop Science, 63, 88-100. doi:10.1002/csc2.20836 -
NLM
Yassue RM, Galli G, Fritsche‐Neto R, Morota G. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data [Internet]. Crop Science. 2023 ;63 88-100.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1002/csc2.20836 -
Vancouver
Yassue RM, Galli G, Fritsche‐Neto R, Morota G. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data [Internet]. Crop Science. 2023 ;63 88-100.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1002/csc2.20836 - CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction
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Informações sobre o DOI: 10.1002/csc2.20836 (Fonte: oaDOI API)
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