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
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
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: 31 mar. 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 mar. 31 ] 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 mar. 31 ] 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
- Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids
- Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation
- Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies
- Population-tailored mock genome enables genomic studies in species without a reference genome
- The effect of bienniality on genomic prediction of yield in arabica coffee
- Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum
- EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
- Deep purple - an open-pollinated variety to induce haploids in tropical maize
- On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3111321-Classification of... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
