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Filtros : "MELHORAMENTO GENÉTICO VEGETAL" "Brasil" "Alves, Filipe Couto" Limpar

Filtros

USP affiliated authors
- fritsche neto, roberto (~2)
- borges, karina lima reis (~1)
- costa neto, germano martins ferreira (~1)
- galli, giovanni (~1)
Date published
- 2021 (~1)
- 2018 (~1)
Subjects
- genômica (2)
- hibridação vegetal (2)
- melhoramento genético vegetal (2)
- milho (2)
- seleção genética (1)

Indexado em
Collaboration
Normalized affiliation
Non normalized affiliation
- biometrics and statistics unit. international maize and wheat improvement center (cimmyt). carretera méxico. veracruz. texcoco (1)
- brazilian agricultural research corporation (embrapa). cassava and fruits. cruz das almas (1)
- dep. of computational & analytical sciences. rothamsted research. harpenden (1)
- dep. of genetics. “luiz de queiroz” college of agriculture. univ. of são paulo. piracicaba, são paulo (1)
- department of agronomy, federal university of viçosa. viçosa, mg (1)

Countries of institutions of collaboration
- brasil (2)
- estados unidos (1)
- frança (1)
- grã-bretanha (reino unido, uk) (1)
- inglaterra (1)

Artigo de periodico
Optimizing genomic-enabled prediction in small-scale maize hHybrid breeding programs: a roadmap review (2021)
Fritsche Neto, Roberto ; Galli, Giovanni ; Borges, Karina Lima Reis ; Costa Neto, Germano Martins Ferreira ; Alves, Filipe Couto; Sabadin, Felipe; Lyra, Danilo Hottis; Morais, Pedro Patric Pinho; Braatz de Andrade, Luciano Rogerio; Granato, Italo; Crossa, Jose
Source: Frontiers in Plant Science. Unidade: ESALQ
Subjects: GENÔMICA, HIBRIDAÇÃO VEGETAL, MELHORAMENTO GENÉTICO VEGETAL, MILHO, SELEÇÃO GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRITSCHE NETO, Roberto et al. Optimizing genomic-enabled prediction in small-scale maize hHybrid breeding programs: a roadmap review. Frontiers in Plant Science, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.3389/fpls.2021.658267. Acesso em: 03 nov. 2024.
APA
Fritsche Neto, R., Galli, G., Borges, K. L. R., Costa Neto, G. M. F., Alves, F. C., Sabadin, F., et al. (2021). Optimizing genomic-enabled prediction in small-scale maize hHybrid breeding programs: a roadmap review. Frontiers in Plant Science, 1-16. doi:10.3389/fpls.2021.658267
NLM
Fritsche Neto R, Galli G, Borges KLR, Costa Neto GMF, Alves FC, Sabadin F, Lyra DH, Morais PPP, Braatz de Andrade LR, Granato I, Crossa J. Optimizing genomic-enabled prediction in small-scale maize hHybrid breeding programs: a roadmap review [Internet]. Frontiers in Plant Science. 2021 ; 1-16.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3389/fpls.2021.658267
Vancouver
Fritsche Neto R, Galli G, Borges KLR, Costa Neto GMF, Alves FC, Sabadin F, Lyra DH, Morais PPP, Braatz de Andrade LR, Granato I, Crossa J. Optimizing genomic-enabled prediction in small-scale maize hHybrid breeding programs: a roadmap review [Internet]. Frontiers in Plant Science. 2021 ; 1-16.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3389/fpls.2021.658267
Artigo de periodico
Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids (2018)
Galli, Giovanni; Lyra, Danilo Hottis; Alves, Filipe Couto; Granato, Ítalo Stefanine Correia; Sousa, Massaine Bandeira e; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: MILHO, MELHORAMENTO GENÉTICO VEGETAL, SEQUENCIAMENTO GENÉTICO, HIBRIDAÇÃO VEGETAL, GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLI, Giovanni et al. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids. Crop Science, v. 58, n. 4, p. 1481-1491, 2018Tradução . . Disponível em: https://doi.org/10.2135/cropsci2017.07.0459. Acesso em: 03 nov. 2024.
APA
Galli, G., Lyra, D. H., Alves, F. C., Granato, Í. S. C., Sousa, M. B. e, & Fritsche-Neto, R. (2018). Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids. Crop Science, 58( 4), 1481-1491. doi:10.2135/cropsci2017.07.0459
NLM
Galli G, Lyra DH, Alves FC, Granato ÍSC, Sousa MB e, Fritsche-Neto R. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids [Internet]. Crop Science. 2018 ; 58( 4): 1481-1491.[citado 2024 nov. 03 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459
Vancouver
Galli G, Lyra DH, Alves FC, Granato ÍSC, Sousa MB e, Fritsche-Neto R. Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids [Internet]. Crop Science. 2018 ; 58( 4): 1481-1491.[citado 2024 nov. 03 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459

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