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Artigo de periodico
Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding (2025)
Swanckaert, Jolien ; Santos, Iara Gonçalves dos; Chaves, Saulo F. S; Ssali, Reuben; Mwanga, Robert O. M; Azevedo, Camila Ferreira; Mendes, Thiago O; De Boeck, Bert; Eyzaguirre, Raul; Kitavi, Mercy; Gemenet, Dorcus C; Andrade, Maria; Grüneberg, Wolfgang J; Lindqvist-Kreuze, Hannele; Yencho, G. Craig; Campos, Hugo; Pereira, Guilherme da Silva
Source: Scientific Reports. Unidade: ESALQ
Subjects: BATATA-DOCE, CRUZAMENTO VEGETAL, HETEROSE, HIBRIDAÇÃO VEGETAL, MELHORAMENTO GENÉTICO VEGETAL, SELEÇÃO GENÉTICA, VIROSE VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SWANCKAERT, Jolien et al. Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding. Scientific Reports, v. 15, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41598-025-88609-w. Acesso em: 09 nov. 2025.
APA
Swanckaert, J., Santos, I. G. dos, Chaves, S. F. S., Ssali, R., Mwanga, R. O. M., Azevedo, C. F., et al. (2025). Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding. Scientific Reports, 15, 1-12. doi:10.1038/s41598-025-88609-w
NLM
Swanckaert J, Santos IG dos, Chaves SFS, Ssali R, Mwanga ROM, Azevedo CF, Mendes TO, De Boeck B, Eyzaguirre R, Kitavi M, Gemenet DC, Andrade M, Grüneberg WJ, Lindqvist-Kreuze H, Yencho GC, Campos H, Pereira G da S. Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding [Internet]. Scientific Reports. 2025 ; 15 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1038/s41598-025-88609-w
Vancouver
Swanckaert J, Santos IG dos, Chaves SFS, Ssali R, Mwanga ROM, Azevedo CF, Mendes TO, De Boeck B, Eyzaguirre R, Kitavi M, Gemenet DC, Andrade M, Grüneberg WJ, Lindqvist-Kreuze H, Yencho GC, Campos H, Pereira G da S. Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding [Internet]. Scientific Reports. 2025 ; 15 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1038/s41598-025-88609-w
Artigo de periodico
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize (2023)
Gevartosky, Raysa ; Carvalho, Humberto Fanelli; Costa-Neto, Germano; Montesinos-López, Osval A ; Crossa, José; Fritsche-Neto, Roberto
Source: BMC Plant Biology. Unidade: ESALQ
Subjects: ALOCAÇÃO DE RECURSOS, INTERAÇÃO GENÓTIPO-AMBIENTE, GENÔMICA, MILHO, SELEÇÃO GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GEVARTOSKY, Raysa et al. Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC Plant Biology, v. 23, p. 1-20, 2023Tradução . . Disponível em: https://doi.org/10.1186/s12870-022-03975-1. Acesso em: 09 nov. 2025.
APA
Gevartosky, R., Carvalho, H. F., Costa-Neto, G., Montesinos-López, O. A., Crossa, J., & Fritsche-Neto, R. (2023). Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC Plant Biology, 23, 1-20. doi:10.1186/s12870-022-03975-1
NLM
Gevartosky R, Carvalho HF, Costa-Neto G, Montesinos-López OA, Crossa J, Fritsche-Neto R. Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize [Internet]. BMC Plant Biology. 2023 ; 23 1-20.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1186/s12870-022-03975-1
Vancouver
Gevartosky R, Carvalho HF, Costa-Neto G, Montesinos-López OA, Crossa J, Fritsche-Neto R. Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize [Internet]. BMC Plant Biology. 2023 ; 23 1-20.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1186/s12870-022-03975-1
Artigo de periodico
Partial least squares enhances genomic prediction of new environments (2022)
Montesinos-López, Osval A; Montesinos-López, Abelardo; Kismiantini; Roman-Gallardo, Armando; Gardner, Keith; Lillemo, Morten; Fritsche-Neto, Roberto ; Crossa, José
Source: Frontiers in Genetics. Unidade: ESALQ
Subjects: GENÔMICA, INFERÊNCIA BAYESIANA, INTERAÇÃO GENÓTIPO-AMBIENTE, MELHORAMENTO GENÉTICO VEGETAL, MILHO, MÍNIMOS QUADRADOS, SELEÇÃO GENÉTICA, TRIGO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONTESINOS-LÓPEZ, Osval A et al. Partial least squares enhances genomic prediction of new environments. Frontiers in Genetics, v. 13, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3389/fgene.2022.920689. Acesso em: 09 nov. 2025.
APA
Montesinos-López, O. A., Montesinos-López, A., Kismiantini,, Roman-Gallardo, A., Gardner, K., Lillemo, M., et al. (2022). Partial least squares enhances genomic prediction of new environments. Frontiers in Genetics, 13, 1-17. doi:10.3389/fgene.2022.920689
NLM
Montesinos-López OA, Montesinos-López A, Kismiantini, Roman-Gallardo A, Gardner K, Lillemo M, Fritsche-Neto R, Crossa J. Partial least squares enhances genomic prediction of new environments [Internet]. Frontiers in Genetics. 2022 ; 13 1-17.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3389/fgene.2022.920689
Vancouver
Montesinos-López OA, Montesinos-López A, Kismiantini, Roman-Gallardo A, Gardner K, Lillemo M, Fritsche-Neto R, Crossa J. Partial least squares enhances genomic prediction of new environments [Internet]. Frontiers in Genetics. 2022 ; 13 1-17.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3389/fgene.2022.920689

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