Using public databases for genomic prediction of tropical maize lines (2020)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; ALVES, FILIPE COUTO - ESALQ ; LYRA, DANILO HOTTIS - ESALQ ; GRANATO, ITALO STEFANINE CORREIA - ESALQ
- Unidade: ESALQ
- DOI: 10.1111/pbr.12827
- Subjects: BANCO DE DADOS; GENÔMICA; LINHAGENS VEGETAIS; MILHO; SELEÇÃO GENÉTICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Plant Breeding
- ISSN: 0179-9541
- Volume/Número/Paginação/Ano: p. 1–11, April 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
MORAIS, Pedro Patric Pinho et al. Using public databases for genomic prediction of tropical maize lines. Plant Breeding, p. 1–11, 2020Tradução . . Disponível em: https://doi.org/10.1111/pbr.12827. Acesso em: 03 ago. 2024. -
APA
Morais, P. P. P., Akdemir, D., Andrade, L. R. B. de, Jannink, J. -L., Fritsche-Neto, R., Borem, A., et al. (2020). Using public databases for genomic prediction of tropical maize lines. Plant Breeding, 1–11. doi:10.1111/pbr.12827 -
NLM
Morais PPP, Akdemir D, Andrade LRB de, Jannink J-L, Fritsche-Neto R, Borem A, Alves FC, Lyra DH, Granato ISC. Using public databases for genomic prediction of tropical maize lines [Internet]. Plant Breeding. 2020 ; 1–11.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1111/pbr.12827 -
Vancouver
Morais PPP, Akdemir D, Andrade LRB de, Jannink J-L, Fritsche-Neto R, Borem A, Alves FC, Lyra DH, Granato ISC. Using public databases for genomic prediction of tropical maize lines [Internet]. Plant Breeding. 2020 ; 1–11.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1111/pbr.12827 - Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines
- Seleção genômica
- Genetic Vulnerability and the Relationship of Commercial Germplasms of Maize in Brazil with the Nested Association Mapping Parents
- Population structure analysis and identification of genomic regions under selection associated with low-nitrogen tolerance in tropical maize lines
- Influence of multi-trait modeling, dominance, and population structure in genomic prediction of maize hybrids
- snpReady and BGGE: R packages to prepare datasets and perform genome-enabled predictions
- Unraveling the impact of genotype by environment interaction complexity and a new proposal to understand the contribution of additive and non-additive effects on genomic prediction in tropical maize single-crosses
- Effect of F-1 and F-2 generations on genetic variability and working steps of doubled haploid production in maize
- Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize
- Milho silagem
Informações sobre o DOI: 10.1111/pbr.12827 (Fonte: oaDOI API)
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| Tipo | Nome | Link | |
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