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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
26/09/2016 |
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Data da última atualização: |
09/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALVES, E. O. dos S.; LIMA NETO, F. P.; SANTOS, C. A. F.; RIBEIRO, I. C. N. dos S.; MELO, C. A. F. de; HOLANDA, I. S. A.; SOUZA, A. P. de; CORRÊA, R. X. |
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Afiliação: |
ELAINI OLIVEIRA DOS SANTOS ALVES, Universidade Estadual de Santa Cruz, Ilhéus, BA; FRANCISCO PINHEIRO LIMA NETO, CPATSA; CARLOS ANTONIO FERNANDES SANTOS, CPATSA; IERLA CARLA NUNES DOS SANTOS RIBEIRO; CLÁUSIO ANTÔNIO FERREIRA DE MELO, Universidade Estadual de Santa Cruz, Ilhéus, BA; IONÁ SANTOS ARAÚJO HOLANDA, UFERSA; ANETE PEREIRA DE SOUZA, UNICAMP; RONAN XAVIER CORRÊA, Universidade Estadual de Santa Cruz, Ilhéus, BA. |
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Título: |
Genetic diversity of mango accessions (Mangifera indica) using new microsatellite markers and morphological descriptors. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Australian Journal of Crop Science, v. 10, n. 9, p. 1281-1287, 2016. |
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ISSN: |
1835-2707 |
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DOI: |
10.21475/ajcs.2016.10.09.p7729 |
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Idioma: |
Inglês |
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Conteúdo: |
Genetic diversity estimates based on morphological and molecular data can provide different information on the relationship between cultivars of a species. This study aimed to develop new microsatellite markers as additional tools in genetic studies on mangoes (Mangifera indica L.), and to analyze the genetic variability of 20 mango cultivars based on morphological descriptors and microsatellite markers. We aimed to better understand the cultivars enhanced breeding histories and to support crossbreeding planning. Positive clones were selected from a DNA library enriched for microsatellite regions for sequencing and primer design. Four plants of each of the 20 accessions were used for observations, based on 48 morphological descriptors. Twenty accessions were analyzed using 27 microsatellite markers, of which 16 were developed during this study. The clusters, based on the morphological descriptors by Ward - MLM strategy and the microsatellite markers, suggested that Brazilian mango cultivars have extensive genetic diversity and are related to cultivars with different provenances, demonstrating their different enhanced breeding histories. |
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Palavras-Chave: |
Diversidade genética; Genetic breeding; Mango; Melhoramento genético; Molecular marker; SSR; Variabilidade genética; Ward-MLM. |
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Thesagro: |
Manga; Mangifera Indica; Marcador molecular. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/147771/1/Carlos-2016.pdf
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Marc: |
LEADER 02251naa a2200361 a 4500
001 2053435
005 2017-02-09
008 2016 bl uuuu u00u1 u #d
022 $a1835-2707
024 7 $a10.21475/ajcs.2016.10.09.p7729$2DOI
100 1 $aALVES, E. O. dos S.
245 $aGenetic diversity of mango accessions (Mangifera indica) using new microsatellite markers and morphological descriptors.$h[electronic resource]
260 $c2016
520 $aGenetic diversity estimates based on morphological and molecular data can provide different information on the relationship between cultivars of a species. This study aimed to develop new microsatellite markers as additional tools in genetic studies on mangoes (Mangifera indica L.), and to analyze the genetic variability of 20 mango cultivars based on morphological descriptors and microsatellite markers. We aimed to better understand the cultivars enhanced breeding histories and to support crossbreeding planning. Positive clones were selected from a DNA library enriched for microsatellite regions for sequencing and primer design. Four plants of each of the 20 accessions were used for observations, based on 48 morphological descriptors. Twenty accessions were analyzed using 27 microsatellite markers, of which 16 were developed during this study. The clusters, based on the morphological descriptors by Ward - MLM strategy and the microsatellite markers, suggested that Brazilian mango cultivars have extensive genetic diversity and are related to cultivars with different provenances, demonstrating their different enhanced breeding histories.
650 $aManga
650 $aMangifera Indica
650 $aMarcador molecular
653 $aDiversidade genética
653 $aGenetic breeding
653 $aMango
653 $aMelhoramento genético
653 $aMolecular marker
653 $aSSR
653 $aVariabilidade genética
653 $aWard-MLM
700 1 $aLIMA NETO, F. P.
700 1 $aSANTOS, C. A. F.
700 1 $aRIBEIRO, I. C. N. dos S.
700 1 $aMELO, C. A. F. de
700 1 $aHOLANDA, I. S. A.
700 1 $aSOUZA, A. P. de
700 1 $aCORRÊA, R. X.
773 $tAustralian Journal of Crop Science$gv. 10, n. 9, p. 1281-1287, 2016.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
10/08/2021 |
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Data da última atualização: |
10/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, H. T.; LOPES, P. S.; COSTA, C. N.; SILVA, F. F.; SILVA, D. A.; SILVA, A. A.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
Universidade Federal de Viçosa; Universidade Federal de Viçosa; CLAUDIO NAPOLIS COSTA, CNPGL; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; JÚLIO CARVALHEIRA, Universidade do Porto. |
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Título: |
Autoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Journal of Dairy Research, v. 87, p. 37-44, 2021. |
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DOI: |
https://doi.org/10.1017/S0022029919000931 |
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Idioma: |
Inglês |
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Conteúdo: |
We investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model. MenosWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two m... Mostrar Tudo |
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Palavras-Chave: |
Desempenho reprodutivo; Holstein cattle; Model evaluation. |
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Thesagro: |
Bovino; Fertilidade; Gado Holandês; Reprodução Animal. |
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Thesaurus NAL: |
Autocorrelation; Reproductive performance. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02624naa a2200325 a 4500
001 2133403
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S0022029919000931$2DOI
100 1 $aSILVA, H. T.
245 $aAutoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle.$h[electronic resource]
260 $c2021
520 $aWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model.
650 $aAutocorrelation
650 $aReproductive performance
650 $aBovino
650 $aFertilidade
650 $aGado Holandês
650 $aReprodução Animal
653 $aDesempenho reprodutivo
653 $aHolstein cattle
653 $aModel evaluation
700 1 $aLOPES, P. S.
700 1 $aCOSTA, C. N.
700 1 $aSILVA, F. F.
700 1 $aSILVA, D. A.
700 1 $aSILVA, A. A.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Dairy Research$gv. 87, p. 37-44, 2021.
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Embrapa Gado de Leite (CNPGL) |
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