| |
|
|
| Registros recuperados : 12 | |
| 1. |  | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. Acta Scientiarum. Agronomy, v. 44, e54136, 2022.| Biblioteca(s): Embrapa Algodão. |
|    |
| 2. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Bragantia, v. 81, 2022. 12 p.| Biblioteca(s): Embrapa Café. |
| |
| 4. | | EVANGELISTA, J. S. P. C.; ALVES, R. S.; PEIXOTO, M. A.; RESENDE, M. D. V. de; TEODORO, P. E.; SILVA, F. L. da; BHERING, L. L. Soybean productivity, stability, and adaptability through mixed model methodology. Ciência Rural, v. 51, n. 2, e20200406, 2021. Título em português: Produtividade, estabilidade e adaptabilidade da soja por meio de metodologia de modelo misto.| Biblioteca(s): Embrapa Café. |
| |
| 5. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. Models for optimizing selection based on adaptability and stability of cotton genotypes. Ciência Rural, v. 51, n. 5, e20200530, p. 1-8, 2021. 8 p.| Biblioteca(s): Embrapa Algodão. |
| |
| 6. | | CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FERREIRA, F. M.; DIAS, L. A. S.; ALVES, R. M.; DIAS, K. O. G.; BHERING, L. L. Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding. Tree Genetics & Genomes, v. 18, n. 6, Article number: 44, Dec. 2022.| Biblioteca(s): Embrapa Amazônia Oriental. |
|  |
| 7. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I. F.; ALVES, R. S.; SILVA, F. F. e; RESENDE, M. D. V. de; SILVA, F. L. da; BHERING, L. L. Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach. Crop Breeding and Applied Biotechnology, v. 21, n. 1, e359721111, 2021.| Biblioteca(s): Embrapa Café. |
| |
| 8. | | CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; TRINDADE, R. dos S.; DIAS, L. A. S.; GUIMARAES, P. E. de O.; GUIMARAES, L. J. M.; ALVES, R. S.; BHERING, L. L.; DIAS, K. O. G. Employing factor analytic tools for selecting high-performance and stable tropical maize hybrids. Crop Science, v. 63, n. 3, p. 1114-1125, 2023.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 9. | | FERREIRA, F. M.; EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; ALVES, R. S.; SILVA, D. B.; MALIKOUSKI, R. G.; RESENDE, M. D. V. de; BHERING, L. L.; SANTOS, G. A. Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Bragantia, v. 81, e2922, 2022. 11 p.| Biblioteca(s): Embrapa Café. |
| |
| 10. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F; ALVES, R. A.; LAVIOLA, B. G.; SILVA, F. F. e; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. PLOS ONE , v. 16, n. 3, e0247775, Mar. 2021. 16| Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
| |
| 11. | | EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; BHERING, E. L.; QUEIROZ, V. A. V.; SILVA, D. D. da; GUIMARAES, L. J. M.; DIAS, K. O. das G.; PASTINA, M. M. Seleção de genótipos de milho tropical com menor incidência de fumonisinas em grãos e alta produtividade via predição genômica. Sete Lagoas: Embrapa Milho e Sorgo, 2023. 17 p. (Embrapa Milho e Sorgo. Circular Técnica, 284).| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 12. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I. F.; FERREIRA, F. M.; MARÇAL, T. de S.; ALVES, R. S.; CHAVES, S. F. da S.; RODRIGUES, E. V.; LAVIOLA, B. G.; RESENDE, M. D. V. de; DIAS, K. O. das G.; BHERING, L. L. Modeling covariance structures and optimizing jatropha curcas breeding. Tree Genetics & Genomes, v. 19, 21, 2023. 11 p.| Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
| |
| Registros recuperados : 12 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Amazônia Oriental. |
|
Data corrente: |
16/11/2022 |
|
Data da última atualização: |
23/11/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
CHAVES, S. F. S.; DIAS, L. A. S.; ALVES, R. S.; ALVES, R. M.; EVANGELISTA, J. S. P. C.; DIAS, K. O. G. |
|
Afiliação: |
SAULO F. S. CHAVES, UNIVERSIDADE FEDERAL DE VIÇOSA; LUIZ A. S. DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO S. ALVES, UNIVERSIDADE FEDERAL DE VIÇOSA; RAFAEL MOYSES ALVES, CPATU; JENIFFER S. P. C. EVANGELISTA, UNIVERSIDADE FEDERAL DE VIÇOSA; KAIO O. G. DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA. |
|
Título: |
Leveraging multi-harvest data for increasing genetic gains per unit of time for fruit yield and resistance to witches' broom in Theobroma grandiflorum. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Euphytica, v. 218, Article number 171, 2022. |
|
DOI: |
https://doi.org/10.1007/s10681-022-03126-5 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Theobroma grandiflorum is a perennial fruit-bearing species with a long breeding cycle (~ 12 years). In multi-harvest data analyses, one frequently observes heteroscedasticity and genetic/statistical imbalance, which requires adequate statistical methods. This study aimed to (i) compare multiharvest models with homogenous and heterogeneous residual variance, (ii) define the optimal number of harvests for an accurate genetic selection of T. grandiflorum genotypes, and (iii) select T. grandiflorum hybrid families with high fruit yield and resistance to witches? broom using an additive index. We used a generalized linear mixed model to analyse the resistance to witches? broom. The data refers to anunbalanced trial with 34 triple-cross hybrid families, arranged in a randomized complete block design. We evaluated these families throughout 9 consecutive harvest years regarding fruit yield and resistance to witches? broom. The variance components, genetic parameters and genotypic values were estimated/predicted through residual maximum likelihood/best linear unbiased prediction methodologies. The model with heterogeneous residuals had a better fit than the homogeneous model for the fruit yield trait, according to Akaike information criterion. The results attest to the genetic variability in the evaluated population. To select the best individual for the next breeding cycle, three harvests are enough for selecting accurately for fruit yield and resistance to witches? broom. For commercial release, nine harvests are necessary for both traits. We identified ten high-performance families regarding fruit yield and resistance to witches? broom MenosTheobroma grandiflorum is a perennial fruit-bearing species with a long breeding cycle (~ 12 years). In multi-harvest data analyses, one frequently observes heteroscedasticity and genetic/statistical imbalance, which requires adequate statistical methods. This study aimed to (i) compare multiharvest models with homogenous and heterogeneous residual variance, (ii) define the optimal number of harvests for an accurate genetic selection of T. grandiflorum genotypes, and (iii) select T. grandiflorum hybrid families with high fruit yield and resistance to witches? broom using an additive index. We used a generalized linear mixed model to analyse the resistance to witches? broom. The data refers to anunbalanced trial with 34 triple-cross hybrid families, arranged in a randomized complete block design. We evaluated these families throughout 9 consecutive harvest years regarding fruit yield and resistance to witches? broom. The variance components, genetic parameters and genotypic values were estimated/predicted through residual maximum likelihood/best linear unbiased prediction methodologies. The model with heterogeneous residuals had a better fit than the homogeneous model for the fruit yield trait, according to Akaike information criterion. The results attest to the genetic variability in the evaluated population. To select the best individual for the next breeding cycle, three harvests are enough for selecting accurately for fruit yield and resistance to witches? broom. For comm... Mostrar Tudo |
|
Palavras-Chave: |
Genética quantitativa; Interação genótipo por colheita; Modelos mistos. |
|
Thesagro: |
Árvore Frutífera; Cupuaçu; Theobroma Grandiflorum. |
|
Thesaurus NAL: |
Quantitative genetics. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
LEADER 02586naa a2200277 a 4500
001 2148275
005 2022-11-23
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-022-03126-5$2DOI
100 1 $aCHAVES, S. F. S.
245 $aLeveraging multi-harvest data for increasing genetic gains per unit of time for fruit yield and resistance to witches' broom in Theobroma grandiflorum.$h[electronic resource]
260 $c2022
520 $aTheobroma grandiflorum is a perennial fruit-bearing species with a long breeding cycle (~ 12 years). In multi-harvest data analyses, one frequently observes heteroscedasticity and genetic/statistical imbalance, which requires adequate statistical methods. This study aimed to (i) compare multiharvest models with homogenous and heterogeneous residual variance, (ii) define the optimal number of harvests for an accurate genetic selection of T. grandiflorum genotypes, and (iii) select T. grandiflorum hybrid families with high fruit yield and resistance to witches? broom using an additive index. We used a generalized linear mixed model to analyse the resistance to witches? broom. The data refers to anunbalanced trial with 34 triple-cross hybrid families, arranged in a randomized complete block design. We evaluated these families throughout 9 consecutive harvest years regarding fruit yield and resistance to witches? broom. The variance components, genetic parameters and genotypic values were estimated/predicted through residual maximum likelihood/best linear unbiased prediction methodologies. The model with heterogeneous residuals had a better fit than the homogeneous model for the fruit yield trait, according to Akaike information criterion. The results attest to the genetic variability in the evaluated population. To select the best individual for the next breeding cycle, three harvests are enough for selecting accurately for fruit yield and resistance to witches? broom. For commercial release, nine harvests are necessary for both traits. We identified ten high-performance families regarding fruit yield and resistance to witches? broom
650 $aQuantitative genetics
650 $aÁrvore Frutífera
650 $aCupuaçu
650 $aTheobroma Grandiflorum
653 $aGenética quantitativa
653 $aInteração genótipo por colheita
653 $aModelos mistos
700 1 $aDIAS, L. A. S.
700 1 $aALVES, R. S.
700 1 $aALVES, R. M.
700 1 $aEVANGELISTA, J. S. P. C.
700 1 $aDIAS, K. O. G.
773 $tEuphytica$gv. 218, Article number 171, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
