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Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
05/12/2018 |
Data da última atualização: |
10/12/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
NOGUEIRA, E.; RODRIGUES, W. B.; SANCHES SILVA, C.; COSTA E SILVA, E. V.; POTIENS, J. R.; SILVA, J. C. B.; SUTOVSKY, P. |
Afiliação: |
ERIKLIS NOGUEIRA, CPAP; W. B. RODRIGUES, UFMS; C. SANCHES SILVA, UFMS; E. V. COSTA E SILVA, UFMS; J R POTIENS, SELEON; JULIANA CORREA BORGES SILVA, CPAP; P. SUTOVSKY, University of Missouri. |
Título: |
Identification of seminal parameters predictive of conception rates in Angus and Nelore bulls used in TAI. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Advances in Animal Biosciences, v. 9, part 2, p. 324, may 2018. |
Idioma: |
Inglês |
Notas: |
Proceedings of the international Bull Fertility Conference, 2018, Westport. |
Conteúdo: |
The ability to predict male fertility is highly desirable for bulls used in AI. Timed artificial insemination (TAI) represents a breakthrough in the use of AI in Brazil and other countries. Numerous causes contribute to the wide range of results and/or unsatisfactory pregnancy rates in TAI programs, highlighting the factors inherent in the bovine female in addition to several factors inherent to quality of semen used. Regarding the quality of semen used in AI programs, differences reported in fertility could be attributed to variation in sperm qualitative characteristics. Consequently, the success of bovine AI programs largely depends on the use of good quality semen. When only high fertility bulls are used, better conception rates are achieved, reducing costs of reproductive programs. Thus, some authors have shown that semen used in TAI has great impact on pregnancy rates, and various biomarkers of sperm quality are required to predict the fertility of bull spermatozoa (Oliveira et al., 2013, Holden et al., 2017). Our goal is to correlate different methods of post-thaw semen evaluation with the P/AI of Nelore (zebu) cows subjected to TAI to identify the candidate predictors of conception rate. |
Thesagro: |
Fertilidade Animal; Inseminação Artificial; Sêmen; Touro. |
Thesaurus Nal: |
Animal fertility; Artificial insemination; Bulls. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187844/1/Identification.pdf
|
Marc: |
LEADER 02117nam a2200277 a 4500 001 2100777 005 2018-12-10 008 2018 bl uuuu u00u1 u #d 100 1 $aNOGUEIRA, E. 245 $aIdentification of seminal parameters predictive of conception rates in Angus and Nelore bulls used in TAI.$h[electronic resource] 260 $aAdvances in Animal Biosciences, v. 9, part 2, p. 324, may 2018.$c2018 500 $aProceedings of the international Bull Fertility Conference, 2018, Westport. 520 $aThe ability to predict male fertility is highly desirable for bulls used in AI. Timed artificial insemination (TAI) represents a breakthrough in the use of AI in Brazil and other countries. Numerous causes contribute to the wide range of results and/or unsatisfactory pregnancy rates in TAI programs, highlighting the factors inherent in the bovine female in addition to several factors inherent to quality of semen used. Regarding the quality of semen used in AI programs, differences reported in fertility could be attributed to variation in sperm qualitative characteristics. Consequently, the success of bovine AI programs largely depends on the use of good quality semen. When only high fertility bulls are used, better conception rates are achieved, reducing costs of reproductive programs. Thus, some authors have shown that semen used in TAI has great impact on pregnancy rates, and various biomarkers of sperm quality are required to predict the fertility of bull spermatozoa (Oliveira et al., 2013, Holden et al., 2017). Our goal is to correlate different methods of post-thaw semen evaluation with the P/AI of Nelore (zebu) cows subjected to TAI to identify the candidate predictors of conception rate. 650 $aAnimal fertility 650 $aArtificial insemination 650 $aBulls 650 $aFertilidade Animal 650 $aInseminação Artificial 650 $aSêmen 650 $aTouro 700 1 $aRODRIGUES, W. B. 700 1 $aSANCHES SILVA, C. 700 1 $aCOSTA E SILVA, E. V. 700 1 $aPOTIENS, J. R. 700 1 $aSILVA, J. C. B. 700 1 $aSUTOVSKY, P.
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Embrapa Pantanal (CPAP) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
07/03/2017 |
Data da última atualização: |
09/04/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
LIMA, A. O. D.; OLIVEIRA, P. S. N.; TIZIOTO, P. C.; SOMAVILLA, A. L.; DINIZ, W. J. S.; SILVA, J. V. D.; ANDRADE, S. C. S.; BOSCHIERO, C.; CESAR, A. S. M.; SOUZA, M. M.; ROCHA, M. I. P.; AFONSO, J.; BUSS, C. E.; MUDADU, M. de A.; MOURAO, G. B.; COUTINHO, L. L.; REGITANO, L. C. de A. |
Afiliação: |
A. O. D. LIMA, UFSCar; P. S. N. OLIVEIRA, CPPSE; P. C. TIZIOTO, CPPSE; A. L. SOMAVILLA, Unesp; W. J. S. DINIZ, UFSCar; J. V. D. SILVA, UFSCar; S. C. S. ANDRADE, USP; C. BOSCHIERO, Esalq/USP; A. S. M. CESAR, Esalq/USP; M. M. SOUZA, UFSCar; M. I. P. ROCHA, UFSCar; J. AFONSO, UFSCar; C. E. BUSS, UFSCar; MAURICIO DE ALVARENGA MUDADU, CNPTIA; G. B. MOURAO, Esalq/USP; L. L. COUTINHO, Esalq/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
Título: |
PRUNE2 gene has a potential effect on residual feed intake in Nellore cattle. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Journal of Animal Science, v. 94, p. 152-153, 2016. |
Páginas: |
p. 148-149. |
DOI: |
10.2527/jam2016-0318 |
Idioma: |
Inglês |
Notas: |
Supplement 5. |
Conteúdo: |
Residual feed intake (RFI) can increase the profitability of producers, reduce methane emission and land allocation to livestock production. However, this trait has late and costly measurements. Identifying gene expression changes combined with polymorphisms that affect residual feed intake variation is important for identify target regulatory polymorphisms that can be used in animal breeding programs. Diverse studies performed by our research group in a Nellore population, such as genome-wide association (GWA), association weight matrix (AWM) and RNA-seq analysis of liver tissue have been pointed Prune homolog 2 (Drosophila) (PRUNE2) as a potential candidate gene influencing feed efficiency. For this reason, we select this gene for a more detailed analysis considering haplotypes consisting of SNPs presented in the Illumina Bovine HD Bead Chip. |
Palavras-Chave: |
Functional gene enrichment. |
Thesagro: |
Gado de corte; Gado Nelore; Genética. |
Thesaurus NAL: |
Beef cattle; Feed conversion; Genetics; Haplotypes. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02057nam a2200433 a 4500 001 2066412 005 2019-04-09 008 2016 bl uuuu u00u1 u #d 024 7 $a10.2527/jam2016-0318$2DOI 100 1 $aLIMA, A. O. D. 245 $aPRUNE2 gene has a potential effect on residual feed intake in Nellore cattle.$h[electronic resource] 260 $aJournal of Animal Science, v. 94, p. 152-153$c2016 300 $ap. 148-149. 500 $aSupplement 5. 520 $aResidual feed intake (RFI) can increase the profitability of producers, reduce methane emission and land allocation to livestock production. However, this trait has late and costly measurements. Identifying gene expression changes combined with polymorphisms that affect residual feed intake variation is important for identify target regulatory polymorphisms that can be used in animal breeding programs. Diverse studies performed by our research group in a Nellore population, such as genome-wide association (GWA), association weight matrix (AWM) and RNA-seq analysis of liver tissue have been pointed Prune homolog 2 (Drosophila) (PRUNE2) as a potential candidate gene influencing feed efficiency. For this reason, we select this gene for a more detailed analysis considering haplotypes consisting of SNPs presented in the Illumina Bovine HD Bead Chip. 650 $aBeef cattle 650 $aFeed conversion 650 $aGenetics 650 $aHaplotypes 650 $aGado de corte 650 $aGado Nelore 650 $aGenética 653 $aFunctional gene enrichment 700 1 $aOLIVEIRA, P. S. N. 700 1 $aTIZIOTO, P. C. 700 1 $aSOMAVILLA, A. L. 700 1 $aDINIZ, W. J. S. 700 1 $aSILVA, J. V. D. 700 1 $aANDRADE, S. C. S. 700 1 $aBOSCHIERO, C. 700 1 $aCESAR, A. S. M. 700 1 $aSOUZA, M. M. 700 1 $aROCHA, M. I. P. 700 1 $aAFONSO, J. 700 1 $aBUSS, C. E. 700 1 $aMUDADU, M. de A. 700 1 $aMOURAO, G. B. 700 1 $aCOUTINHO, L. L. 700 1 $aREGITANO, L. C. de A.
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