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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
30/08/2018 |
Data da última atualização: |
11/02/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
DUARTE, D. A. S.; FORTES, M. R. S.; DUARTE, M. de S.; GUIMARÃES, S. E. F.; VERARDO, L. L.; VERONEZE, R.; RIBEIRO, A. M. F.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e. |
Afiliação: |
Darlene Ana S. Duarte, UFV; Marina Rufino S. Fortes, University of Queensland; Marcio de Souza Duarte, UFV; Simone E. F. Guimarães, UFV; Lucas L. Verardo, UFV; Renata Veroneze, UFV; Andre Mauric F. Ribeiro, UFV; Paulo Sávio Lopes, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV. |
Título: |
Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018. |
DOI: |
dx.doi.org/10.1071/AN16018 |
Idioma: |
Inglês |
Conteúdo: |
A large number of quantitative trait loci (QTL) for meat quality and carcass traits has been reported in pigs over the past 20 years. However, few QTL have been validated and the biological meaning of the genes associated to these QTL has been underexploited. In this context, a meta-analysis was performed to compare the significant markers with meta-QTL previously reported in literature. Genome association studies were performed for 12 traits, from which 144 SNPs were found out to be significant (P < 0.05). They were validated in the meta-analysis and used to build the Association Weight Matrix, a matrix framework employed to investigate co-association of pairwise SNP across phenotypes enabling to derive a gene network. A total of 45 genes were selected from the Association Weight Matrix analysis, from which 25 significant transcription factors were identified and used to construct the networks associated to meat quality and carcass traits. These networks allowed the identification of key transcription factors, such as SOX5 and NKX2–5, gene–gene interactions (e.g. ATP5A1, JPH1, DPT and NEDD4) and pathways related to the regulation of adipose tissue metabolism and skeletal muscle development. Validated SNPs and knowledge of key genes driving these important industry traits might assist future strategies in pig breeding. |
Palavras-Chave: |
Biological pathways; Post-GWAS; SNP-derived gene networks. |
Thesagro: |
Melhoramento Genético Animal; Suíno. |
Thesaurus Nal: |
Animal breeding; Pork. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02343naa a2200325 a 4500 001 2094834 005 2019-02-11 008 2018 bl uuuu u00u1 u #d 024 7 $adx.doi.org/10.1071/AN16018$2DOI 100 1 $aDUARTE, D. A. S. 245 $aGenome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs.$h[electronic resource] 260 $c2018 520 $aA large number of quantitative trait loci (QTL) for meat quality and carcass traits has been reported in pigs over the past 20 years. However, few QTL have been validated and the biological meaning of the genes associated to these QTL has been underexploited. In this context, a meta-analysis was performed to compare the significant markers with meta-QTL previously reported in literature. Genome association studies were performed for 12 traits, from which 144 SNPs were found out to be significant (P < 0.05). They were validated in the meta-analysis and used to build the Association Weight Matrix, a matrix framework employed to investigate co-association of pairwise SNP across phenotypes enabling to derive a gene network. A total of 45 genes were selected from the Association Weight Matrix analysis, from which 25 significant transcription factors were identified and used to construct the networks associated to meat quality and carcass traits. These networks allowed the identification of key transcription factors, such as SOX5 and NKX2–5, gene–gene interactions (e.g. ATP5A1, JPH1, DPT and NEDD4) and pathways related to the regulation of adipose tissue metabolism and skeletal muscle development. Validated SNPs and knowledge of key genes driving these important industry traits might assist future strategies in pig breeding. 650 $aAnimal breeding 650 $aPork 650 $aMelhoramento Genético Animal 650 $aSuíno 653 $aBiological pathways 653 $aPost-GWAS 653 $aSNP-derived gene networks 700 1 $aFORTES, M. R. S. 700 1 $aDUARTE, M. de S. 700 1 $aGUIMARÃES, S. E. F. 700 1 $aVERARDO, L. L. 700 1 $aVERONEZE, R. 700 1 $aRIBEIRO, A. M. F. 700 1 $aLOPES, P. S. 700 1 $aRESENDE, M. D. V. de 700 1 $aSILVA, F. F. e 773 $tAnimal Production Science$gv. 58, n. 6, p. 1100-1008, May 2018.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
13/12/2021 |
Data da última atualização: |
21/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SOUZA, D. P. DE; SANCHES, A. C.; MENDONÇA, F. C.; PEZZOPANE, J. R. M.; AMORIN, D. M.; JESUS, F. L. F. DE. |
Afiliação: |
DÉBORA PANTOJO DE SOUZA, USP-ESALQ; ARTHUR CARNIATO SANCHES, Universidade Federal da Grande Dourados; FERNANDO CAMPOS MENDONÇA, Universidade de São Paulo. Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ); JOSE RICARDO MACEDO PEZZOPANE, CPPSE; DANIELLE MORAIS AMORIM, Universidade de São Paulo. Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ); FERNANDA LAMEDE FERREIRA DE JESUS, Universidade Federal Rural da Amazônia – UFRA. |
Título: |
Crop coefficient estimated by degree-days for Marandu palisadegrass and mixed forage. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Revista de la Facultad de Ciencias Agrarias Unicuyo, v.53, n.2, jul./dec. 2021. |
Páginas: |
p.71-81. |
ISSN: |
1853-8665 |
DOI: |
https://doi.org/10.48162/rev.39.041 |
Idioma: |
Inglês |
Conteúdo: |
Considering profitability in pasture-based systems, investigating parameters affecting crop coefficients for irrigation management becomes important. In this experiment, we determined the crop coefficient of Marandu palisadegrass based on accumulated degree-days and estimated plant water consumption under single (Marandu palisade-grass) and mixed (Marandu palisadegrass + black oats + Italian ryegrass) cropping regimes. The research was conducted at the Luiz de Queiroz College of Agriculture in Piracicaba, São Paulo, Brazil, between 2016 and 2017. Evapotranspiration was assessed using weighing lysimeters while crop evapotranspiration was calculated using mean weight variation. Reference evapotranspiration and degree-days were estimated. Data were obtained from an automated weather station. Equations and regression models relating crop coefficient with accumulated degree-days were generated for two seasons (spring/summer and autumn/winter) and evaluated for two year-cycles, from 2015 to 2018. The results showed better prediction accuracy for the single cropping system in spring/summer 2017-18. |
Palavras-Chave: |
Consumo de agua; Evapotranspiración; Forraje; Pasto Marandu. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228985/1/CropCoefficientEstimated.pdf
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Marc: |
LEADER 01917naa a2200265 a 4500 001 2137619 005 2021-12-21 008 2021 bl uuuu u00u1 u #d 022 $a1853-8665 024 7 $ahttps://doi.org/10.48162/rev.39.041$2DOI 100 1 $aSOUZA, D. P. DE 245 $aCrop coefficient estimated by degree-days for Marandu palisadegrass and mixed forage.$h[electronic resource] 260 $c2021 300 $ap.71-81. 520 $aConsidering profitability in pasture-based systems, investigating parameters affecting crop coefficients for irrigation management becomes important. In this experiment, we determined the crop coefficient of Marandu palisadegrass based on accumulated degree-days and estimated plant water consumption under single (Marandu palisade-grass) and mixed (Marandu palisadegrass + black oats + Italian ryegrass) cropping regimes. The research was conducted at the Luiz de Queiroz College of Agriculture in Piracicaba, São Paulo, Brazil, between 2016 and 2017. Evapotranspiration was assessed using weighing lysimeters while crop evapotranspiration was calculated using mean weight variation. Reference evapotranspiration and degree-days were estimated. Data were obtained from an automated weather station. Equations and regression models relating crop coefficient with accumulated degree-days were generated for two seasons (spring/summer and autumn/winter) and evaluated for two year-cycles, from 2015 to 2018. The results showed better prediction accuracy for the single cropping system in spring/summer 2017-18. 653 $aConsumo de agua 653 $aEvapotranspiración 653 $aForraje 653 $aPasto Marandu 700 1 $aSANCHES, A. C. 700 1 $aMENDONÇA, F. C. 700 1 $aPEZZOPANE, J. R. M. 700 1 $aAMORIN, D. M. 700 1 $aJESUS, F. L. F. DE 773 $tRevista de la Facultad de Ciencias Agrarias Unicuyo$gv.53, n.2, jul./dec. 2021.
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