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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
20/10/2016 |
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Data da última atualização: |
01/04/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MEIRELLES, S. L. C.; MOKRY, F. B.; ESPASANDIN, A. C.; DIAS, M. A. D.; BAENA, M. M.; REGITANO, L. C. de A. |
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Afiliação: |
SARAH LAGUNA CONCEIÇÃO MEIRELLES, UFLA; FABIANA BARICHELLO MOKRY, UFSCAR; ANA CAROLINA ESPASANDIN, UNIVERSITY OF THE REPUBLIC-SCHOOL OF AGRONOMY, URUGUAY; MARCO AURÉLIO DESSIMONI DIAS, UFLA; M. M. BAENA, UFLA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
Genetic parameters for carcass traits and body weight using a Bayesian approach in the Canchim cattle. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v.15, n.2, june 2016. |
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Volume: |
15 |
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DOI: |
10.4238/gmr.15027471 |
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Idioma: |
Inglês |
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Conteúdo: |
Correlation between genetic parameters and factors such as backfat thickness (BFT), rib eye area (REA), and body weight (BW) were estimated for Canchim beef cattle raised in natural pastures of Brazil. Data from 1648 animals were analyzed using multi-trait (BFT, REA, and BW) animal models by the Bayesian approach. This model included the effects of contemporary group, age, and individual heterozygosity as covariates. In addition, direct additive genetic and random residual effects were also analyzed. Heritability estimated for BFT (0.16), REA (0.50), and BW (0.44) indicated their potential for genetic improvements and response to selection processes. Furthermore, genetic correlations between BW and the remaining traits were high (P > 0.50), suggesting that selection for BW could improve REA and BFT. On the other hand, genetic correlation between BFT and REA was low (P = 0.39 ± 0.17), and included considerable variations, suggesting that these traits can be jointly included as selection criteria without influencing each other. We found that REA and BFT responded to the selection processes, as measured by ultrasound. Therefore, selection for yearling weight results in changes in REA and BFT. |
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Palavras-Chave: |
Composição da raça; Espessura do toucinho; Olho de lombo; Seleção animal. |
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Thesagro: |
Gado. |
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Thesaurus Nal: |
Cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149407/1/Genetic-parameters-for-carcass-traits-and-body-weight-using-a-Bayesian-approach-in-the-Canchim-cattle.pdf
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Marc: |
LEADER 02044naa a2200289 a 4500
001 2055105
005 2019-04-01
008 2016 bl uuuu u00u1 u #d
024 7 $a10.4238/gmr.15027471$2DOI
100 1 $aMEIRELLES, S. L. C.
245 $aGenetic parameters for carcass traits and body weight using a Bayesian approach in the Canchim cattle.$h[electronic resource]
260 $c2016
300 $a15
490 $v15
520 $aCorrelation between genetic parameters and factors such as backfat thickness (BFT), rib eye area (REA), and body weight (BW) were estimated for Canchim beef cattle raised in natural pastures of Brazil. Data from 1648 animals were analyzed using multi-trait (BFT, REA, and BW) animal models by the Bayesian approach. This model included the effects of contemporary group, age, and individual heterozygosity as covariates. In addition, direct additive genetic and random residual effects were also analyzed. Heritability estimated for BFT (0.16), REA (0.50), and BW (0.44) indicated their potential for genetic improvements and response to selection processes. Furthermore, genetic correlations between BW and the remaining traits were high (P > 0.50), suggesting that selection for BW could improve REA and BFT. On the other hand, genetic correlation between BFT and REA was low (P = 0.39 ± 0.17), and included considerable variations, suggesting that these traits can be jointly included as selection criteria without influencing each other. We found that REA and BFT responded to the selection processes, as measured by ultrasound. Therefore, selection for yearling weight results in changes in REA and BFT.
650 $aCattle
650 $aGado
653 $aComposição da raça
653 $aEspessura do toucinho
653 $aOlho de lombo
653 $aSeleção animal
700 1 $aMOKRY, F. B.
700 1 $aESPASANDIN, A. C.
700 1 $aDIAS, M. A. D.
700 1 $aBAENA, M. M.
700 1 $aREGITANO, L. C. de A.
773 $tGenetics and Molecular Research$gv.15, n.2, june 2016.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Origem |
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Classificação |
Cutter |
Registro |
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URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
18/01/2024 |
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Data da última atualização: |
23/01/2024 |
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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: |
ALBERTON, B.; MARTIN, T. C. M.; ROCHA, H. R. da; RICHARDSON, A. D.; MOURA, M. S. B. de; TORRES, R. S.; MORELLATO, L. P. C. |
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Afiliação: |
BRUNA ALBERTON, Center for Research on Biodiversity Dynamics and Climate Change, São Paulo; THOMAS C. M. MARTIN, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo; HUMBERTO R. DA ROCHA, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo; ANDREW D. RICHARDSON, Center for Ecosystem Science and Society, School of Informatics, Computing, and Cyber Systems; MAGNA SOELMA BESERRA DE MOURA, CPATSA; RICARDO S. TORRES, Department of ICT and Natural Sciences, NTNU; LEONOR PATRICIA CERDEIRA MORELLATO, Center for Research on Biodiversity Dynamics and Climate Change. |
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Título: |
Relationship between tropical leaf phenology and ecosystem productivity using phenocameras. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Frontiers in Environmental Science, v. 11, 1223219, Sept. 2023. |
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DOI: |
https://doi.org/10.3389/fenvs.2023.1223219 |
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Idioma: |
Inglês |
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Conteúdo: |
The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain photosynthetic seasonality in evergreen tropical forests, but the question is still open for seasonally tropical ecosystems. In the search for implementing long-term phenology monitoring in the tropics, phenocameras have proven to be an accurate method to estimate vegetative phenology in tropical communities. Here, we investigated the temporal patterns of leaf phenology and their relation to gross primary productivity (GPP) in a comparative study across three contrasting tropical biomes: dry forest (caatinga), woodland savanna (cerrado), and rainforest (Atlantic Forest). |
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Palavras-Chave: |
Atlântico floresta; Fenocâmera; Fenologia foliar; Fenologia vegetativa. |
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Thesagro: |
Caatinga; Cerrado; Ecossistema; Fenologia; Floresta; Floresta Tropical. |
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Thesaurus NAL: |
Dry forests. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161022/1/Relationship-between-tropical-leaf-phenology-and-ecosystem-productivity-using-phenocameras-2023.pdf
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Marc: |
LEADER 01772naa a2200337 a 4500
001 2161022
005 2024-01-23
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fenvs.2023.1223219$2DOI
100 1 $aALBERTON, B.
245 $aRelationship between tropical leaf phenology and ecosystem productivity using phenocameras.$h[electronic resource]
260 $c2023
520 $aThe interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain photosynthetic seasonality in evergreen tropical forests, but the question is still open for seasonally tropical ecosystems. In the search for implementing long-term phenology monitoring in the tropics, phenocameras have proven to be an accurate method to estimate vegetative phenology in tropical communities. Here, we investigated the temporal patterns of leaf phenology and their relation to gross primary productivity (GPP) in a comparative study across three contrasting tropical biomes: dry forest (caatinga), woodland savanna (cerrado), and rainforest (Atlantic Forest).
650 $aDry forests
650 $aCaatinga
650 $aCerrado
650 $aEcossistema
650 $aFenologia
650 $aFloresta
650 $aFloresta Tropical
653 $aAtlântico floresta
653 $aFenocâmera
653 $aFenologia foliar
653 $aFenologia vegetativa
700 1 $aMARTIN, T. C. M.
700 1 $aROCHA, H. R. da
700 1 $aRICHARDSON, A. D.
700 1 $aMOURA, M. S. B. de
700 1 $aTORRES, R. S.
700 1 $aMORELLATO, L. P. C.
773 $tFrontiers in Environmental Science$gv. 11, 1223219, Sept. 2023.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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