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Artigo de periodico
Improving the identification of haploid maize seeds using convolutional neural networks (2021)
Sabadin, Felipe ; Galli, Giovanni ; Borsato, Ronaldo; Gevartosky, Raysa ; Campos, Gabriela Romêro; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: MILHO, SEMENTES, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SABADIN, Felipe et al. Improving the identification of haploid maize seeds using convolutional neural networks. Crop Science, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1002/csc2.20487. Acesso em: 03 jul. 2024.
APA
Sabadin, F., Galli, G., Borsato, R., Gevartosky, R., Campos, G. R., & Fritsche-Neto, R. (2021). Improving the identification of haploid maize seeds using convolutional neural networks. Crop Science, 1-11. doi:10.1002/csc2.20487
NLM
Sabadin F, Galli G, Borsato R, Gevartosky R, Campos GR, Fritsche-Neto R. Improving the identification of haploid maize seeds using convolutional neural networks [Internet]. Crop Science. 2021 ; 1-11.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20487
Vancouver
Sabadin F, Galli G, Borsato R, Gevartosky R, Campos GR, Fritsche-Neto R. Improving the identification of haploid maize seeds using convolutional neural networks [Internet]. Crop Science. 2021 ; 1-11.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20487
Artigo de periodico
Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models (2020)
Krause, Matheus Dalsente ; Dias, Kaio Olimpio das Gracas ; Santos, Jhonathan Pedroso Rigal dos ; Oliveira, Amanda Avelar de ; Guimaraes, Lauro Jose Moreira ; Pastina, Maria Marta ; Margarido, Gabriel Rodrigues Alves ; Garcia, Antonio Augusto Franco
Source: Crop Science. Unidade: ESALQ
Subjects: CRUZAMENTO VEGETAL, GENÔMICA, HIBRIDAÇÃO VEGETAL, INTERAÇÃO GENÓTIPO-AMBIENTE, MARCADOR MOLECULAR, MILHO, MODELOS (ANÁLISE MULTIVARIADA), POLIMORFISMO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KRAUSE, Matheus Dalsente et al. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, v. 60, p. 3049–3065, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20253. Acesso em: 03 jul. 2024.
APA
Krause, M. D., Dias, K. O. das G., Santos, J. P. R. dos, Oliveira, A. A. de, Guimaraes, L. J. M., Pastina, M. M., et al. (2020). Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, 60, 3049–3065. doi:10.1002/csc2.20253
NLM
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20253
Vancouver
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20253
Artigo de periodico
The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations (2020)
Mendonça, Leandro de Freitas ; Fritsche‐Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: GENÔMICA, LINHAGENS VEGETAIS, MELHORAMENTO GENÉTICO VEGETAL, POPULAÇÕES VEGETAIS, SELEÇÃO GENÉTICA, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDONÇA, Leandro de Freitas e FRITSCHE‐NETO, Roberto. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations. Crop Science, p. 1-22, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20267. Acesso em: 03 jul. 2024.
APA
Mendonça, L. de F., & Fritsche‐Neto, R. (2020). The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations. Crop Science, 1-22. doi:10.1002/csc2.20267
NLM
Mendonça L de F, Fritsche‐Neto R. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations [Internet]. Crop Science. 2020 ; 1-22.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20267
Vancouver
Mendonça L de F, Fritsche‐Neto R. The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations [Internet]. Crop Science. 2020 ; 1-22.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20267
Artigo de periodico
Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program (2020)
Oliveira, Amanda Avelar ; Guimarães, Lauro José Moreira; Guimarães, Claudia Teixeira; Guimarães, Paulo Evaristo de Oliveira; Pinto, Marcos de Oliveira; Pastina, Maria Marta; Margarido, Gabriel Rodrigues Alves
Source: Crop Science. Unidade: ESALQ
Subjects: GENÓTIPOS, MELHORAMENTO GENÉTICO VEGETAL, MILHO, POLIMORFISMO, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Amanda Avelar et al. Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program. Crop Science, v. 60, p. 3066–3082, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20255. Acesso em: 03 jul. 2024.
APA
Oliveira, A. A., Guimarães, L. J. M., Guimarães, C. T., Guimarães, P. E. de O., Pinto, M. de O., Pastina, M. M., & Margarido, G. R. A. (2020). Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program. Crop Science, 60, 3066–3082. doi:10.1002/csc2.20255
NLM
Oliveira AA, Guimarães LJM, Guimarães CT, Guimarães PE de O, Pinto M de O, Pastina MM, Margarido GRA. Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program [Internet]. Crop Science. 2020 ; 60 3066–3082.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20255
Vancouver
Oliveira AA, Guimarães LJM, Guimarães CT, Guimarães PE de O, Pinto M de O, Pastina MM, Margarido GRA. Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program [Internet]. Crop Science. 2020 ; 60 3066–3082.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20255
Artigo de periodico
Genomic prediction enables early but low-intensity selection in soybean segregating progenies (2020)
Mendonça, Leandro de Freitas ; Galli, Giovanni ; Malone, G; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: GENÉTICA QUANTITATIVA, GENÔMICA, MELHORAMENTO GENÉTICO VEGETAL, SELEÇÃO GENÉTICA, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDONÇA, Leandro de Freitas et al. Genomic prediction enables early but low-intensity selection in soybean segregating progenies. Crop Science, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20072. Acesso em: 03 jul. 2024.
APA
Mendonça, L. de F., Galli, G., Malone, G., & Fritsche-Neto, R. (2020). Genomic prediction enables early but low-intensity selection in soybean segregating progenies. Crop Science, 1-16. doi:10.1002/csc2.20072
NLM
Mendonça L de F, Galli G, Malone G, Fritsche-Neto R. Genomic prediction enables early but low-intensity selection in soybean segregating progenies [Internet]. Crop Science. 2020 ; 1-16.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20072
Vancouver
Mendonça L de F, Galli G, Malone G, Fritsche-Neto R. Genomic prediction enables early but low-intensity selection in soybean segregating progenies [Internet]. Crop Science. 2020 ; 1-16.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1002/csc2.20072
Artigo de periodico
Be-Breeder 2.0: a Web application for genetic analyses in a plant breeding context (2019)
Matias, Filipe Inácio ; Morosini, Júlia Silva ; Espolador, Fernando Garcia ; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: MELHORAMENTO GENÉTICO VEGETAL, SOFTWARES, WEB 2.0
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Filipe Inácio et al. Be-Breeder 2.0: a Web application for genetic analyses in a plant breeding context. Crop Science, v. 59, p. 1371-1373, 2019Tradução . . Disponível em: https://doi.org/10.2135/cropsci2018.10.0621le. Acesso em: 03 jul. 2024.
APA
Matias, F. I., Morosini, J. S., Espolador, F. G., & Fritsche-Neto, R. (2019). Be-Breeder 2.0: a Web application for genetic analyses in a plant breeding context. Crop Science, 59, 1371-1373. doi:10.2135/cropsci2018.10.0621le
NLM
Matias FI, Morosini JS, Espolador FG, Fritsche-Neto R. Be-Breeder 2.0: a Web application for genetic analyses in a plant breeding context [Internet]. Crop Science. 2019 ; 59 1371-1373.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2018.10.0621le
Vancouver
Matias FI, Morosini JS, Espolador FG, Fritsche-Neto R. Be-Breeder 2.0: a Web application for genetic analyses in a plant breeding context [Internet]. Crop Science. 2019 ; 59 1371-1373.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2018.10.0621le
Artigo de periodico
Association mapping considering allele dosage: an example of forage traits in an interspecific segmental allotetraploid urochloa spp. panel (2019)
Matias, Filipe Inacio ; Vidotti, Miriam Suzane ; Meireles, Karem Guimaraes Xavier; Barrios, Sanzio Carvalho Lima; Valle, Cacilda Borges do; Carley, Cari A. Schmitz; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: ALELOS, FORRAGEM, GENÔMICA, GRAMÍNEAS FORRAGEIRAS, MAPEAMENTO GENÉTICO, MELHORAMENTO GENÉTICO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Filipe Inacio et al. Association mapping considering allele dosage: an example of forage traits in an interspecific segmental allotetraploid urochloa spp. panel. Crop Science, v. 59, n. 5, p. 2062-2076, 2019Tradução . . Disponível em: https://doi.org/10.2135/cropsci2019.03.0185. Acesso em: 03 jul. 2024.
APA
Matias, F. I., Vidotti, M. S., Meireles, K. G. X., Barrios, S. C. L., Valle, C. B. do, Carley, C. A. S., & Fritsche-Neto, R. (2019). Association mapping considering allele dosage: an example of forage traits in an interspecific segmental allotetraploid urochloa spp. panel. Crop Science, 59( 5), 2062-2076. doi:10.2135/cropsci2019.03.0185
NLM
Matias FI, Vidotti MS, Meireles KGX, Barrios SCL, Valle CB do, Carley CAS, Fritsche-Neto R. Association mapping considering allele dosage: an example of forage traits in an interspecific segmental allotetraploid urochloa spp. panel [Internet]. Crop Science. 2019 ; 59( 5): 2062-2076.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2019.03.0185
Vancouver
Matias FI, Vidotti MS, Meireles KGX, Barrios SCL, Valle CB do, Carley CAS, Fritsche-Neto R. Association mapping considering allele dosage: an example of forage traits in an interspecific segmental allotetraploid urochloa spp. panel [Internet]. Crop Science. 2019 ; 59( 5): 2062-2076.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2019.03.0185
Artigo de periodico
Contribution of additive and dominance effects on agronomical and nutritional traits, and multivariate selection on Urochloa spp. hybrids (2018)
Matias, Filipe Inácio ; Barrios, Sanzio Carvalho Lima; Bearari, Lucas Martins; Meireles, Karem Guimarães Xavier; Mateus, Rogério Gonçalves; Amaral, Pedro Nelson Cesar do; Alves, Geovani Ferreira; Valle, Cacilda Borges do; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, BRACHIARIA, CRUZAMENTO VEGETAL, HIBRIDAÇÃO VEGETAL, MELHORAMENTO GENÉTICO VEGETAL, SELEÇÃO GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Filipe Inácio et al. Contribution of additive and dominance effects on agronomical and nutritional traits, and multivariate selection on Urochloa spp. hybrids. Crop Science, v. 58, p. 2444-2458, 2018Tradução . . Disponível em: https://doi.org/10.2135/cropsci2018.04.0261. Acesso em: 03 jul. 2024.
APA
Matias, F. I., Barrios, S. C. L., Bearari, L. M., Meireles, K. G. X., Mateus, R. G., Amaral, P. N. C. do, et al. (2018). Contribution of additive and dominance effects on agronomical and nutritional traits, and multivariate selection on Urochloa spp. hybrids. Crop Science, 58, 2444-2458. doi:10.2135/cropsci2018.04.0261
NLM
Matias FI, Barrios SCL, Bearari LM, Meireles KGX, Mateus RG, Amaral PNC do, Alves GF, Valle CB do, Fritsche-Neto R. Contribution of additive and dominance effects on agronomical and nutritional traits, and multivariate selection on Urochloa spp. hybrids [Internet]. Crop Science. 2018 ; 58 2444-2458.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2018.04.0261
Vancouver
Matias FI, Barrios SCL, Bearari LM, Meireles KGX, Mateus RG, Amaral PNC do, Alves GF, Valle CB do, Fritsche-Neto R. Contribution of additive and dominance effects on agronomical and nutritional traits, and multivariate selection on Urochloa spp. hybrids [Internet]. Crop Science. 2018 ; 58 2444-2458.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2018.04.0261
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 jul. 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 jul. 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 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459
Artigo de periodico
Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes (2017)
Matias, Filipe Inacio; Galli, Giovanni; Correia Granato, Italo Stefanine; Fritsche-Neto, Roberto
Source: Crop Science. Unidade: ESALQ
Subjects: ALOGAMIA, AUTOGAMIA, GENÔMICA, HAPLOTIPOS, NUCLEOTÍDEOS, POLIMORFISMO, PLANTAS CULTIVADAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Filipe Inacio et al. Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes. Crop Science, n. 6, p. 2951-2958, 2017Tradução . . Disponível em: https://doi.org/10.2135/cropsci2017.01.0022. Acesso em: 03 jul. 2024.
APA
Matias, F. I., Galli, G., Correia Granato, I. S., & Fritsche-Neto, R. (2017). Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes. Crop Science, ( 6), 2951-2958. doi:10.2135/cropsci2017.01.0022
NLM
Matias FI, Galli G, Correia Granato IS, Fritsche-Neto R. Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes [Internet]. Crop Science. 2017 ;( 6): 2951-2958.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2017.01.0022
Vancouver
Matias FI, Galli G, Correia Granato IS, Fritsche-Neto R. Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes [Internet]. Crop Science. 2017 ;( 6): 2951-2958.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2017.01.0022
Artigo de periodico
Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil (2014)
Mendes, Flavia F; Guimarães, Lauro J. M; Souza, João Cândido; Guimarães, Paulo Evaristo O; Magalhaes, Jurandir V; Garcia, Antonio Augusto Franco; Parentoni, Sidney N; Guimaraes, Claudia T
Source: Crop Science. Unidade: ESALQ
Subjects: MILHO, FÓSFORO, MAPEAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Flavia F et al. Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil. Crop Science, v. 54, p. 1530-1538, 2014Tradução . . Disponível em: https://doi.org/10.2135/cropsci2013.11.0755. Acesso em: 03 jul. 2024.
APA
Mendes, F. F., Guimarães, L. J. M., Souza, J. C., Guimarães, P. E. O., Magalhaes, J. V., Garcia, A. A. F., et al. (2014). Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil. Crop Science, 54, 1530-1538. doi:10.2135/cropsci2013.11.0755
NLM
Mendes FF, Guimarães LJM, Souza JC, Guimarães PEO, Magalhaes JV, Garcia AAF, Parentoni SN, Guimaraes CT. Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil [Internet]. Crop Science. 2014 ; 54 1530-1538.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2013.11.0755
Vancouver
Mendes FF, Guimarães LJM, Souza JC, Guimarães PEO, Magalhaes JV, Garcia AAF, Parentoni SN, Guimaraes CT. Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil [Internet]. Crop Science. 2014 ; 54 1530-1538.[citado 2024 jul. 03 ] Available from: https://doi.org/10.2135/cropsci2013.11.0755

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