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Filtros : "Uruguai" "NALIN, RAFAEL STORTO" Removidos: " IFSC033" "ar" "1992" Limpar

Filtros

Indexado em
Collaboration
Normalized affiliation
Non normalized affiliation
- cgiar excellence in breeding platform (eib). el batan. mexico international maize and wheat improvement center (cimmyt). el batan (1)
- department of agronomy. university of wisconsin. madison, wi (1)
- department of agronomy. university of wisconsin–madison. madison, wi (1)
- facultad de agronomía. univ. de la república. garzón, montevideo (1)
- instituto nacional de investigaciones forestales, agricolas y pecuarias. aguascalientes (1)

Artigo de periodico
Do spatial designs outperform classic experimental designs? (2020)
Hoefler, Raegan; González-Barrios, Pablo; Bhatta, Madhav; Nunes, Jose A. R; Berro, Ines; Nalin, Rafael Storto ; Borges, Alejandra; Covarrubias, Eduardo; Diaz-Garcia, Luis; Quincke, Martin; Gutierrez, Lucia
Source: Journal of Agricultural, Biological and Environmental Statistics. Unidade: ESALQ
Subjects: DELINEAMENTO EXPERIMENTAL, PROCESSOS ESTOCÁSTICOS, SIMULAÇÃO, TRIGO, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HOEFLER, Raegan et al. Do spatial designs outperform classic experimental designs?. Journal of Agricultural, Biological and Environmental Statistics, p. 1-30, 2020Tradução . . Disponível em: https://doi.org/10.1007/s13253-020-00406-2. Acesso em: 13 set. 2024.
APA
Hoefler, R., González-Barrios, P., Bhatta, M., Nunes, J. A. R., Berro, I., Nalin, R. S., et al. (2020). Do spatial designs outperform classic experimental designs? Journal of Agricultural, Biological and Environmental Statistics, 1-30. doi:10.1007/s13253-020-00406-2
NLM
Hoefler R, González-Barrios P, Bhatta M, Nunes JAR, Berro I, Nalin RS, Borges A, Covarrubias E, Diaz-Garcia L, Quincke M, Gutierrez L. Do spatial designs outperform classic experimental designs? [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2020 ; 1-30.[citado 2024 set. 13 ] Available from: https://doi.org/10.1007/s13253-020-00406-2
Vancouver
Hoefler R, González-Barrios P, Bhatta M, Nunes JAR, Berro I, Nalin RS, Borges A, Covarrubias E, Diaz-Garcia L, Quincke M, Gutierrez L. Do spatial designs outperform classic experimental designs? [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2020 ; 1-30.[citado 2024 set. 13 ] Available from: https://doi.org/10.1007/s13253-020-00406-2
Artigo de periodico
Training population optimization for genomic selection (2019)
Berro, Ines; Lado, Bettina; Nalin, Rafael Storto ; Quincke, Martin; Gutierrez, Lucia
Source: Plant Genome. Unidade: ESALQ
Subjects: ARROZ, GENÔMICA, MARCADOR MOLECULAR, MODELOS MATEMÁTICOS, POPULAÇÕES VEGETAIS, SELEÇÃO GENÉTICA, TRIGO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERRO, Ines et al. Training population optimization for genomic selection. Plant Genome, v. 12, n. 3, p. 1-14, 2019Tradução . . Disponível em: https://doi.org/10.3835/plantgenome2019.04.0028. Acesso em: 13 set. 2024.
APA
Berro, I., Lado, B., Nalin, R. S., Quincke, M., & Gutierrez, L. (2019). Training population optimization for genomic selection. Plant Genome, 12( 3), 1-14. doi:10.3835/plantgenome2019.04.0028
NLM
Berro I, Lado B, Nalin RS, Quincke M, Gutierrez L. Training population optimization for genomic selection [Internet]. Plant Genome. 2019 ; 12( 3): 1-14.[citado 2024 set. 13 ] Available from: https://doi.org/10.3835/plantgenome2019.04.0028
Vancouver
Berro I, Lado B, Nalin RS, Quincke M, Gutierrez L. Training population optimization for genomic selection [Internet]. Plant Genome. 2019 ; 12( 3): 1-14.[citado 2024 set. 13 ] Available from: https://doi.org/10.3835/plantgenome2019.04.0028

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