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Artigo de periodico
Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus (2024)
Silva, Allison Vieira da ; Prado, Melina ; Campos, Gabriela Romêro ; Borges, Karina Lima Reis ; Yassue, Rafael Massahiro ; Husein, Gustavo ; Sposito, Marcel Bellato ; Amorim, Lilian ; Crossa, José ; Fritsche-Neto, Roberto
Source: Euphytica. Unidade: ESALQ
Subjects: FRUTAS DE CLIMA TEMPERADO, GENÔMICA, HIBRIDAÇÃO VEGETAL, MELHORAMENTO GENÉTICO VEGETAL, POPULAÇÕES VEGETAIS, SELEÇÃO GENÉTICA
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ABNT
SILVA, Allison Vieira da et al. Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus. Euphytica, v. 220, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10681-024-03406-2. Acesso em: 16 nov. 2024.
APA
Silva, A. V. da, Prado, M., Campos, G. R., Borges, K. L. R., Yassue, R. M., Husein, G., et al. (2024). Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus. Euphytica, 220, 1-12. doi:10.1007/s10681-024-03406-2
NLM
Silva AV da, Prado M, Campos GR, Borges KLR, Yassue RM, Husein G, Sposito MB, Amorim L, Crossa J, Fritsche-Neto R. Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus [Internet]. Euphytica. 2024 ; 220 1-12.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10681-024-03406-2
Vancouver
Silva AV da, Prado M, Campos GR, Borges KLR, Yassue RM, Husein G, Sposito MB, Amorim L, Crossa J, Fritsche-Neto R. Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus [Internet]. Euphytica. 2024 ; 220 1-12.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10681-024-03406-2
Artigo de periodico
Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions (2023)
Campos, Gabriela Romêro ; Prado, Melina ; Borges, Karina Lima Reis; Yassue, Rafael Massahiro ; Sabadin, Felipe; Silva, Allison Vieira da ; Barbosa, Caio Morais de Alcântara ; Sposito, Marcel Bellato ; Amorim, Lilian ; Fritsche-Neto, Roberto
Source: Scientific Reports. Unidade: ESALQ
Subjects: CRUZAMENTO VEGETAL, DIVERSIDADE GENÉTICA, FERRUGEM (DOENÇA DE PLANTA), FRAMBOESA, GENÓTIPOS, HIBRIDAÇÃO VEGETAL, RESISTÊNCIA GENÉTICA VEGETAL, VARIEDADES VEGETAIS
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CAMPOS, Gabriela Romêro et al. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions. Scientific Reports, v. 13, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-41728-8. Acesso em: 16 nov. 2024.
APA
Campos, G. R., Prado, M., Borges, K. L. R., Yassue, R. M., Sabadin, F., Silva, A. V. da, et al. (2023). Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions. Scientific Reports, 13, 1-11. doi:10.1038/s41598-023-41728-8
NLM
Campos GR, Prado M, Borges KLR, Yassue RM, Sabadin F, Silva AV da, Barbosa CM de A, Sposito MB, Amorim L, Fritsche-Neto R. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions [Internet]. Scientific Reports. 2023 ; 13 1-11.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-023-41728-8
Vancouver
Campos GR, Prado M, Borges KLR, Yassue RM, Sabadin F, Silva AV da, Barbosa CM de A, Sposito MB, Amorim L, Fritsche-Neto R. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions [Internet]. Scientific Reports. 2023 ; 13 1-11.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-023-41728-8
Artigo de periodico
Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids (2022)
Galli, Giovanni ; Sabadin, F; Yassue, Rafael Massahiro ; Galves, C; Carvalho, H. F; Crossa, J; Montesinos-López, O. A; Fritsche-Neto, Roberto
Source: Frontiers in Plant Science. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, HIBRIDAÇÃO VEGETAL, MILHO, REDES NEURAIS
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GALLI, Giovanni et al. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids. Frontiers in Plant Science, v. 13, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.3389/fpls.2022.845524. Acesso em: 16 nov. 2024.
APA
Galli, G., Sabadin, F., Yassue, R. M., Galves, C., Carvalho, H. F., Crossa, J., et al. (2022). Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids. Frontiers in Plant Science, 13, 1-13. doi:10.3389/fpls.2022.845524
NLM
Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids [Internet]. Frontiers in Plant Science. 2022 ; 13 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3389/fpls.2022.845524
Vancouver
Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids [Internet]. Frontiers in Plant Science. 2022 ; 13 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3389/fpls.2022.845524
Artigo de periodico
Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models (2021)
Alves, Filipe Couto ; Galli, Giovanni ; Matias, Filipe Inácio; Vidotti, Miriam Suzane; Morosini, Júlia Silva ; Fritsche-Neto, Roberto
Source: Euphytica. Unidade: ESALQ
Subjects: CRUZAMENTO VEGETAL, GENÔMICA, HIBRIDAÇÃO VEGETAL, INTERAÇÃO GENÓTIPO-AMBIENTE, MILHO, MODELOS MATEMÁTICOS
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ABNT
ALVES, Filipe Couto et al. Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models. Euphytica, v. 217, n. 37, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10681-021-02779-y. Acesso em: 16 nov. 2024.
APA
Alves, F. C., Galli, G., Matias, F. I., Vidotti, M. S., Morosini, J. S., & Fritsche-Neto, R. (2021). Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models. Euphytica, 217( 37), 1-17. doi:10.1007/s10681-021-02779-y
NLM
Alves FC, Galli G, Matias FI, Vidotti MS, Morosini JS, Fritsche-Neto R. Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models [Internet]. Euphytica. 2021 ; 217( 37): 1-17.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10681-021-02779-y
Vancouver
Alves FC, Galli G, Matias FI, Vidotti MS, Morosini JS, Fritsche-Neto R. Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models [Internet]. Euphytica. 2021 ; 217( 37): 1-17.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10681-021-02779-y
Artigo de periodico
On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids (2020)
Galli, Giovanni ; Alves, Filipe Couto; Morosini, Julia Silva ; Fritsche-Neto, Roberto
Source: PLOS ONE. Unidade: ESALQ
Subjects: CONTROLE GENÉTICO, CRUZAMENTO VEGETAL, GENOMAS, HERDABILIDADE, HIBRIDAÇÃO VEGETAL, LINHAGENS VEGETAIS, MILHO
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ABNT
GALLI, Giovanni et al. On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids. PLOS ONE, v. 15, n. 2, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0228724. Acesso em: 16 nov. 2024.
APA
Galli, G., Alves, F. C., Morosini, J. S., & Fritsche-Neto, R. (2020). On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids. PLOS ONE, 15( 2), 1-15. doi:10.1371/journal.pone.0228724
NLM
Galli G, Alves FC, Morosini JS, Fritsche-Neto R. On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids [Internet]. PLOS ONE. 2020 ; 15( 2): 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1371/journal.pone.0228724
Vancouver
Galli G, Alves FC, Morosini JS, Fritsche-Neto R. On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids [Internet]. PLOS ONE. 2020 ; 15( 2): 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1371/journal.pone.0228724
Artigo de periodico
Modeling copy number variation in the genomic prediction of maize hybrids (2019)
Lyra, Danilo Hottis; Galli, Giovanni; Alves, Filipe Couto; Granato, Ítalo Stefanine Correia; Vidotti, Miriam Suzane; Bandeira e Sousa, Massaine; Morosini, Júlia Silva; Crossa, José; Fritsche-Neto, Roberto
Source: Theoretical and Applied Genetics. Unidade: ESALQ
Subjects: MILHO, HIBRIDAÇÃO VEGETAL, GENÔMICA, MARCADOR MOLECULAR, VARIAÇÃO GENÉTICA EM PLANTAS
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ABNT
LYRA, Danilo Hottis et al. Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics, v. 132, p. 273-288, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00122-018-3215-2. Acesso em: 16 nov. 2024.
APA
Lyra, D. H., Galli, G., Alves, F. C., Granato, Í. S. C., Vidotti, M. S., Bandeira e Sousa, M., et al. (2019). Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics, 132, 273-288. doi:10.1007/s00122-018-3215-2
NLM
Lyra DH, Galli G, Alves FC, Granato ÍSC, Vidotti MS, Bandeira e Sousa M, Morosini JS, Crossa J, Fritsche-Neto R. Modeling copy number variation in the genomic prediction of maize hybrids [Internet]. Theoretical and Applied Genetics. 2019 ; 132 273-288.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00122-018-3215-2
Vancouver
Lyra DH, Galli G, Alves FC, Granato ÍSC, Vidotti MS, Bandeira e Sousa M, Morosini JS, Crossa J, Fritsche-Neto R. Modeling copy number variation in the genomic prediction of maize hybrids [Internet]. Theoretical and Applied Genetics. 2019 ; 132 273-288.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00122-018-3215-2
Artigo de periodico
On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids (2019)
Matias, Filipe Inacio ; Alves, Filipe Couto; Meireles, Karem Guimaraes Xavier; Barrios, Sanzio Carvalho Lima; Valle, Cacilda Borges do; Endelman, Jeffrey B; Fritsche-Neto, Roberto
Source: Molecular Breeding. Unidade: ESALQ
Subjects: ALELOS, GENÔMICA, GRAMÍNEAS FORRAGEIRAS, HIBRIDAÇÃO VEGETAL, SEQUENCIAMENTO GENÉTICO
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ABNT
MATIAS, Filipe Inacio et al. On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids. Molecular Breeding, v. 39, p. 1-16, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11032-019-1002-7. Acesso em: 16 nov. 2024.
APA
Matias, F. I., Alves, F. C., Meireles, K. G. X., Barrios, S. C. L., Valle, C. B. do, Endelman, J. B., & Fritsche-Neto, R. (2019). On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids. Molecular Breeding, 39, 1-16. doi:10.1007/s11032-019-1002-7
NLM
Matias FI, Alves FC, Meireles KGX, Barrios SCL, Valle CB do, Endelman JB, Fritsche-Neto R. On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids [Internet]. Molecular Breeding. 2019 ; 39 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11032-019-1002-7
Vancouver
Matias FI, Alves FC, Meireles KGX, Barrios SCL, Valle CB do, Endelman JB, Fritsche-Neto R. On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids [Internet]. Molecular Breeding. 2019 ; 39 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11032-019-1002-7
Artigo de periodico
Bayesian analysis and prediction of hybrid performance (2019)
Alves, Filipe Couto; Granato, Ítalo Stefanine Correa; Galli, Giovanni; Lyra, Danilo Hottis; Fritsche-Neto, Roberto; de los Campos, Gustavo
Source: Plant Methods. Unidade: ESALQ
Subjects: GENÔMICA, HIBRIDAÇÃO VEGETAL, INFERÊNCIA BAYESIANA, MILHO, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Filipe Couto et al. Bayesian analysis and prediction of hybrid performance. Plant Methods, v. 15, n. 1, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1186/s13007-019-0388-x. Acesso em: 16 nov. 2024.
APA
Alves, F. C., Granato, Í. S. C., Galli, G., Lyra, D. H., Fritsche-Neto, R., & de los Campos, G. (2019). Bayesian analysis and prediction of hybrid performance. Plant Methods, 15( 1), 1-18. doi:10.1186/s13007-019-0388-x
NLM
Alves FC, Granato ÍSC, Galli G, Lyra DH, Fritsche-Neto R, de los Campos G. Bayesian analysis and prediction of hybrid performance [Internet]. Plant Methods. 2019 ; 15( 1): 1-18.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/s13007-019-0388-x
Vancouver
Alves FC, Granato ÍSC, Galli G, Lyra DH, Fritsche-Neto R, de los Campos G. Bayesian analysis and prediction of hybrid performance [Internet]. Plant Methods. 2019 ; 15( 1): 1-18.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/s13007-019-0388-x
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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] 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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.2135/cropsci2017.07.0459
Artigo de periodico
Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids (2017)
Lyra, Danilo Hottis; Mendonça, Leandro de Freitas; Galli, Giovanni; Alves, Filipe Couto; Granato, Ítalo Stefanine Correia; Fritsche-Neto, Roberto
Source: Molecular Breeding. Unidade: ESALQ
Subjects: GENÔMICA, HERDABILIDADE, HIBRIDAÇÃO VEGETAL, MILHO, NITROGÊNIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LYRA, Danilo Hottis et al. Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids. Molecular Breeding, v. 37, n. 6, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11032-017-0681-1. Acesso em: 16 nov. 2024.
APA
Lyra, D. H., Mendonça, L. de F., Galli, G., Alves, F. C., Granato, Í. S. C., & Fritsche-Neto, R. (2017). Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids. Molecular Breeding, 37( 6). doi:10.1007/s11032-017-0681-1
NLM
Lyra DH, Mendonça L de F, Galli G, Alves FC, Granato ÍSC, Fritsche-Neto R. Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids [Internet]. Molecular Breeding. 2017 ; 37( 6):[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11032-017-0681-1
Vancouver
Lyra DH, Mendonça L de F, Galli G, Alves FC, Granato ÍSC, Fritsche-Neto R. Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids [Internet]. Molecular Breeding. 2017 ; 37( 6):[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11032-017-0681-1
Artigo de periodico
Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines (2016)
Mendonça, Leandro F; Fritsche-Neto, Roberto ; Granato, Ítalo S. C ; Alves, Filipe C
Source: Maydica. Unidade: ESALQ
Subjects: MILHO, LINHAGENS VEGETAIS, AGROCLIMATOLOGIA, ESTRESSE, SEMEADURA, HIBRIDAÇÃO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDONÇA, Leandro F et al. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines. Maydica, v. 61, n. 3, p. 1-7, 2016Tradução . . Disponível em: https://journals-crea.4science.it/index.php/maydica/article/view/1549. Acesso em: 16 nov. 2024.
APA
Mendonça, L. F., Fritsche-Neto, R., Granato, Í. S. C., & Alves, F. C. (2016). Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines. Maydica, 61( 3), 1-7. Recuperado de https://journals-crea.4science.it/index.php/maydica/article/view/1549
NLM
Mendonça LF, Fritsche-Neto R, Granato ÍSC, Alves FC. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines [Internet]. Maydica. 2016 ; 61( 3): 1-7.[citado 2024 nov. 16 ] Available from: https://journals-crea.4science.it/index.php/maydica/article/view/1549
Vancouver
Mendonça LF, Fritsche-Neto R, Granato ÍSC, Alves FC. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines [Internet]. Maydica. 2016 ; 61( 3): 1-7.[citado 2024 nov. 16 ] Available from: https://journals-crea.4science.it/index.php/maydica/article/view/1549

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