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Biblioteca(s):  Embrapa Caprinos e Ovinos.
Data corrente:  14/10/2010
Data da última atualização:  01/07/2016
Autoria:  MADRUGA, M. S.; MEDEIROS, E. J. L. de; SOUSA, W. H. de; CUNHA, M. das G. G.; PEREIRA FILHO, J. M.; QUEIROGA, R. de C. R. do E.
Título:  Chemical composition and fat profile of meat from crossbred goats reared under feedlot systems.
Ano de publicação:  2009
Fonte/Imprenta:  Revista Brasileira de Zootecnia, Viçosa, MG, v. 38, n. 3, p. 547-552, mar., 2009.
DOI:  10.1590/S1516-35982009000300021
Idioma:  Inglês
Conteúdo:  Abstract: This study aimed to evaluate the chemical quality and fat profile of meat from crossbred goats (native and exotic) reared under feedlot systems. Thirty-two entire male goats were divided in equal number into four racial groups: eight pure Boer breed, eight ¾ Boer + ¼ SPRD crossbred, eight ½ Boer + ½ SPRD crossbred and eight ½ Anglo Nubian + ½ SPRD crossbred. All goats were reared under feedlot system and slaughtered at the average age and live weight of 223 days and 29 kg, respectively. The chemical composition including moisture, protein, ash, fat, cholesterol, phospholipids and fatty acids was determined. The breed types had no significant effect on moisture, protein, ash, fat, cholesterol and phospholipids contents. However, the percentages of oleic and stearic acids and the MUFA/SFA ratio showed significant differences between the four breed groups, with percentages ranging from 0.72 for ¾ Boer + ¼ SPRD crossbred to 0.95 for ½ Boer + ½ SPRD crossbred. The oleic acid (C18:1) was found in the highest percentage in the fatty acid profile in goat meat, particularly for ½ Boer + ½ SPRD and ½ Anglo + ½ SPRD genotypes. The crossing of exotic Boer and Anglo Nubian breeds with the natives SPRD resulted in a goat meat of high quality, even at a ratio of 50%, since the goat meat showed low cholesterol percentage and high protein and unsaturated fatty acids contents. [Composição química e perfil lipídico da carne caprina de grupos genéticos terminados em confinamento]. Re... Mostrar Tudo
Palavras-Chave:  Brasil; Caprino de corte; Paraíba; Perfil lipídico; Raça Anglo-Nubiana; Raça Boer.
Thesagro:  Carne; Composição química; Confinamento; Genótipo; Qualidade; Terminação.
Categoria do assunto:  L Ciência Animal e Produtos de Origem Animal
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Caprinos e Ovinos (CNPC)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPC23447 - 1ADDAP - PP
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Biblioteca(s):  Embrapa Café.
Data corrente:  07/12/2017
Data da última atualização:  07/12/2017
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 1
Autoria:  FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F.
Afiliação:  LUIS FELIPE VENTORIM FERRÃO, DG/ESALQ; ROMÁRIO GAVA FERRÃO, INCAPER; MARIA AMELIA GAVA FERRAO, SAPC; AYMBIRE FRANCISCO A DA FONSECA, SAPC; ANTONIO AUGUSTO FRANCO GARCIA, DG/ESALQ.
Título:  A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.
Ano de publicação:  2017
Fonte/Imprenta:  Tree Genetics & Genomes, v. 13, n. 95, 2017.
Idioma:  Inglês
Conteúdo:  Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than tr... Mostrar Tudo
Palavras-Chave:  GBLUP; Genotyping-by-sequencing; Multi-environment trials; Perennial crops.
Thesaurus NAL:  Marker-assisted selection.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/168435/1/A-mixed-model-to-multiple-harvest-location.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Café (CNPCa)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPCa - SAPC1201 - 1UPCAP - DD
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