| |
|
|
 | 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 |
|
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 |
URL |
Voltar
|
|
|
| Registros recuperados : 2 | |
| 2. |  | FONTANA, A.; PIRES, A. M. M.; VENTURIERI, A.; JESUS, A. H. de; PAULA, A. J. de; MEDEIROS, A. de S.; VARGAS, A. de G.; BERNDT, A.; FERREIRA, A. L.; LUIZ, A. J. B.; ALVES, A. E.; PEREIRA, A. C.; FREITAS, A. F. de; PACKER, A. P.; CAVALCANTE, A. P. C. M.; FRASCA, A. V. da L.; FERNANDES, A.; ZIMBRES, B.; RUDORFF, B. F. T.; DENARDI, B. M.; BORDRON, B.; ALVES, B. J. R.; KRAHEMBUHL, C. B. B. P.; ARAÚJO, C. E. R.; DUBEUX, C. B. S; MAEQUES, C. L.; SILVA, C. R.; BALDI, C.; JANTALIA, C. P.; GESTEIRA NETO, C. J. M.; BACK, C. D.; ANDRADE, C. A. de; AGUIAR, D. A. de; OBERLING, D. F.; OLIVEIRA, D. M. de; CALÇADO, D. M.; GONÇALVES, D. N. S.; MOLLETA, D. G. S.; GAROFALO, D. F. T.; FERREIRA, D.; GOULART, D.; OLIVEIRA, E. C. de; ROSA, E. R.; ALMEIDA, E. G. de; ALBUQUERQUE, E. R. G. M. de; LA ROVERE, E. L.; RIEGELHAUPT, E. M.; HENRIQUE, F. L.; FARIA, F. F. de; PATERNOST, F. F.; CESÁRIO, F. V.; PEREIRA, F. R. de S.; PAREYN, F. G. C.; RODRIGUES, G. A. H.; BERTANI, G.; LEMOS, G. da S.; RIBEIRO, G. H. P. de M.; CABRAL, G. H.; FROES, G. A. M.; GOES, G. V.; ANDRADE, G. S. de; CARVALHO, G. C. de; NASPOLINI, G. F.; CHRISTO, G. L. de; SANTOS, G. V. dos; BARROS, H. H. D. de; HASENACK, H.; TAVARES, H. C.; MARTINS, I. T.; FRANÇA, I. E. R.; ROITMAN, I.; SOARES, I. M. de M.; SIMIONATO, J.; FREITAS, J.; OMETTO, J. P. H. B.; LINARES, J. A. H.; RISSO, J.; CRUZ FILHO, J. L. V. da; QUINTÃO, J. M. B.; SILVA, J. S. O.; LANA, J. T. de O.; ZANATTA, J. A.; MARACAHIPES, L.; RIBEIRO, L. da S.; VICENTE, L. E.; SCHRAMM, L. F. P.; ROSSI, L. M. B.; SILVA, M. G. da; SARAIVA, M.; D'AGOSTO, M. de A.; VIRTUOSO, M. A.; LIGO, M. A. V.; RACHWAL, M. F. G.; ROSA, M.; PICHARILLO, M. E.; SILVA, M. G. L. da; MATSUURA, M. I. da S. F.; DALLA BETTA, M. M.; PEREIRA, M. J.; CARON, M. L.; ASSIS, M. L. R. de; SANTOS, M. M. de O.; ROCHA, M. B.; BUSTAMANTE, M. M. da C.; WALTER, M. C.; AQUINO, M. F. S. de; SALGADO, M. P. G.; SERRUYA, N. M.; MOREIRA, N. de P.; FERREIRA, N. C.; RAMOS, N. P.; CABRAL, O. M. R.; MOSER, P.; COLTURATO, P. D.; GRÜTZMACHER, P.; AUGUSTO, R. C.; GRISOLI, R. P. S.; SOLARI, R.; PAZIANOTTO, R. A. A.; DUPONT, R. A. B.; CANTINHO, R. Z.; PEIXOTO, R. de A.; PADILHA, R. A.; NICOLOSO, R. da S.; OLIVEIRA, R. R. S. de; HIGA, R. C. V.; GUIDOTTI, R. M. M.; NOGUEIRA, S. F.; MAIA, S. M. F.; ASSIS, T. F. de; IGAWA, T. K.; RODRIGUES, T. da S.; CARMO, T. R. L. do; MIRANDA, V. S.; KONDO, V. Y.; SCIVITTARO, W. B.; WILLS, W.; HOLLER, W. A. Inventário nacional de emissões e remoções antrópicas de gases de efeito estufa. In: BRASIL. Ministério da Ciência, Tecnologia e Inovações. Quarta Comunicação Nacional do Brasil à Convenção-Quadro das Nações Unidas sobre Mudança do Clima. Brasília, DF, 2021. cap. 2, p. 80-181.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agrobiologia; Embrapa Amazônia Oriental; Embrapa Florestas; Embrapa Pecuária Sudeste; Embrapa Solos. |
|    |
| Registros recuperados : 2 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
