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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Pagani, C.Walasek, W.Suárez, C. |
Título : |
Control químico de bacteriosis (Pseudomonas marginalis) en ajo |
Fecha de publicación : |
1996 |
Fuente / Imprenta : |
Las Brujas, Canelones (Uruguay): INIA, 1996. |
Páginas : |
p. 40-43 |
Serie : |
(INIA Serie Actividades de Difusión ; 117) |
Idioma : |
Español |
Notas : |
INIA Las Brujas |
Thesagro : |
AJO; ALLIUM SATIVUM; BACTERIOSIS; CONTROL QUIMICO; PSEUDOMONAS MARGINALIS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/257/1/18429180808151134.pdf
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Marc : |
LEADER 00600naa a2200205 a 4500 001 1006753 005 2014-02-22 008 1996 bl uuuu u00u1 u #d 100 1 $aPAGANI, C.WALASEK, W.SUÁREZ, C. 245 $aControl químico de bacteriosis (Pseudomonas marginalis) en ajo 260 $c1996 300 $ap. 40-43 490 $a(INIA Serie Actividades de Difusión ; 117) 500 $aINIA Las Brujas 650 $aAJO 650 $aALLIUM SATIVUM 650 $aBACTERIOSIS 650 $aCONTROL QUIMICO 650 $aPSEUDOMONAS MARGINALIS 773 $tLas Brujas, Canelones (Uruguay): INIA, 1996.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
29/01/2020 |
Actualizado : |
29/01/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
CARVALHO, F.E.; ESPIGOLAN, R.; BERTON, M.P.; NETO, J.B.S.; SILVA, R.P.; GRIGOLETTO, L.; SILVA, R.M.O.; FERRAZ, J.B.S.; ELER, J.P.; AGUILAR, I.; LÔBO, R.B.; BALDI, F. |
Afiliación : |
F.E.CARVALHO, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; R. ESPIGOLAN, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; M. P. BERTON, Departament of Animal Science, College of Agricultural and Veterinarian Sciences, São Paulo State University (UNESP), Jaboticabal/SP, Brazil; J. B. S. NETO, Departament of Animal Science, College of Agricultural and Veterinarian Sciences, São Paulo State University (UNESP), Jaboticabal/SP, Brazil; R. P. SILVA, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; L. GRIGOLETTO, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; R. M. O. SILVA, Zoetis, 1240 Dr. Chucri Zaidan Street, Edifício Morumbi Corporate, Diamond Tower, 4th floor, São Paulo, SP, Brazil; J. B. S. FERRAZ, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; J. P . ELER, Departament of Veterinary Medicine, College of Animal Science and Food Engineer, University of São Paulo (USP), Pirassununga/SP, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LÔBO, R.B., Nacional Association of Breeders and Researchers (ANCP), Ribeirão Preto, SP, Brazil; F. BALDI, Departament of Animal Science, College of Agricultural and Veterinarian Sciences, São Paulo State University (UNESP), Jaboticabal/SP, Brazil. |
Título : |
Genome-wide association study and predictive ability for growth traits in Nellore cattle. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Livestock Science, January 2020, Volume 231, Article number 103861. OPEN ACCESS. Doi: https://doi.org/10.1016/j.livsci.2019.103861 |
ISSN : |
1871-1413 |
DOI : |
10.1016/j.livsci.2019.103861 |
Idioma : |
Inglés |
Notas : |
Article history: Received 25 June 2019 / Revised 29 October 2019 / Accepted 4 November 2019 / Available online 6 November 2019.
Funding information: F.E. CARVALHO received a scholarship from Coordinating for the Improvement of Higher Education Personnel (CAPES) in conjunction with the Postgraduate Program on Zootecnia, Universidade de São Paulo, Faculdade de Zootecnia e Engenharia de Alimentos (FZEA, USP). To National Association of Breeders and Researchers (ANCP, Ribeirão Preto-SP, Brazil). To Fapesp, ( Sao Paulo Research Foundation , grants #2016/222751-6 #2017/10493-5 ). F.B held productivity research fellowships from The Brazilian National Council for Scientific and Technological Development (CNPQ). |
Contenido : |
ABSTRACT.
This study aimed to identify genomic regions influencing growth traits in Nellore cattle and evaluate the predictive ability of each trait based on results obtained from single-step genome-wide association analyzes (ssGWAS) considering different single nucleotide polymorphims (SNP) densities of markers. The National Association of Breeders and Researchers provided the dataset, from eighteen Nellore herds participating of the Nellore Brazilian breeding program. The traits birth weight (BW), adjusted weight at 210 (W210) and at 450 (W450) days of age and adult cow weight (ACW) were considered. A total of 963 animals, genotyped using the Illumina BovineHD BeadChip, were used as a reference population to impute genotypes of 7,689 animals, genotyped in low-density panel. Genotype imputation was performed using the FImpute 2.2 software. The ssGWAS was used to identify genomic regions associated to growth traits. Several genes in enrichment analysis were related to muscle and adipose tissue development and metabolism, feed efficiency, milk composition and maternal behavior. The predictive ability varied from low (0.10) to moderate (0.68). The predictive ability and bias for both panels were similar for all traits. The results found in this study should improve the understanding of genetic and physiologic mechanism associated with growth traits. However, the association of these results with other approaches, like system biologic and other omics information should improve the identification of causative genetic variants in growth traits in indicine cattle.
© 2019 Elsevier B.V. MenosABSTRACT.
This study aimed to identify genomic regions influencing growth traits in Nellore cattle and evaluate the predictive ability of each trait based on results obtained from single-step genome-wide association analyzes (ssGWAS) considering different single nucleotide polymorphims (SNP) densities of markers. The National Association of Breeders and Researchers provided the dataset, from eighteen Nellore herds participating of the Nellore Brazilian breeding program. The traits birth weight (BW), adjusted weight at 210 (W210) and at 450 (W450) days of age and adult cow weight (ACW) were considered. A total of 963 animals, genotyped using the Illumina BovineHD BeadChip, were used as a reference population to impute genotypes of 7,689 animals, genotyped in low-density panel. Genotype imputation was performed using the FImpute 2.2 software. The ssGWAS was used to identify genomic regions associated to growth traits. Several genes in enrichment analysis were related to muscle and adipose tissue development and metabolism, feed efficiency, milk composition and maternal behavior. The predictive ability varied from low (0.10) to moderate (0.68). The predictive ability and bias for both panels were similar for all traits. The results found in this study should improve the understanding of genetic and physiologic mechanism associated with growth traits. However, the association of these results with other approaches, like system biologic and other omics information should improve ... Presentar Todo |
Palabras claves : |
BEEF CATTLE; Genomic; Predictive ability; Single nucleotide polymosphism. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
https://www.sciencedirect.com/science/article/pii/S1871141319308935/pdfft?md5=2a644d20a870893fa10662e7fb7ecf40&pid=1-s2.0-S1871141319308935-main.pdf
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Marc : |
LEADER 03332naa a2200337 a 4500 001 1060718 005 2020-01-29 008 2020 bl uuuu u00u1 u #d 022 $a1871-1413 024 7 $a10.1016/j.livsci.2019.103861$2DOI 100 1 $aCARVALHO, F.E. 245 $aGenome-wide association study and predictive ability for growth traits in Nellore cattle.$h[electronic resource] 260 $c2020 500 $aArticle history: Received 25 June 2019 / Revised 29 October 2019 / Accepted 4 November 2019 / Available online 6 November 2019. Funding information: F.E. CARVALHO received a scholarship from Coordinating for the Improvement of Higher Education Personnel (CAPES) in conjunction with the Postgraduate Program on Zootecnia, Universidade de São Paulo, Faculdade de Zootecnia e Engenharia de Alimentos (FZEA, USP). To National Association of Breeders and Researchers (ANCP, Ribeirão Preto-SP, Brazil). To Fapesp, ( Sao Paulo Research Foundation , grants #2016/222751-6 #2017/10493-5 ). F.B held productivity research fellowships from The Brazilian National Council for Scientific and Technological Development (CNPQ). 520 $aABSTRACT. This study aimed to identify genomic regions influencing growth traits in Nellore cattle and evaluate the predictive ability of each trait based on results obtained from single-step genome-wide association analyzes (ssGWAS) considering different single nucleotide polymorphims (SNP) densities of markers. The National Association of Breeders and Researchers provided the dataset, from eighteen Nellore herds participating of the Nellore Brazilian breeding program. The traits birth weight (BW), adjusted weight at 210 (W210) and at 450 (W450) days of age and adult cow weight (ACW) were considered. A total of 963 animals, genotyped using the Illumina BovineHD BeadChip, were used as a reference population to impute genotypes of 7,689 animals, genotyped in low-density panel. Genotype imputation was performed using the FImpute 2.2 software. The ssGWAS was used to identify genomic regions associated to growth traits. Several genes in enrichment analysis were related to muscle and adipose tissue development and metabolism, feed efficiency, milk composition and maternal behavior. The predictive ability varied from low (0.10) to moderate (0.68). The predictive ability and bias for both panels were similar for all traits. The results found in this study should improve the understanding of genetic and physiologic mechanism associated with growth traits. However, the association of these results with other approaches, like system biologic and other omics information should improve the identification of causative genetic variants in growth traits in indicine cattle. © 2019 Elsevier B.V. 653 $aBEEF CATTLE 653 $aGenomic 653 $aPredictive ability 653 $aSingle nucleotide polymosphism 700 1 $aESPIGOLAN, R. 700 1 $aBERTON, M.P. 700 1 $aNETO, J.B.S. 700 1 $aSILVA, R.P. 700 1 $aGRIGOLETTO, L. 700 1 $aSILVA, R.M.O. 700 1 $aFERRAZ, J.B.S. 700 1 $aELER, J.P. 700 1 $aAGUILAR, I. 700 1 $aLÔBO, R.B. 700 1 $aBALDI, F. 773 $tLivestock Science, January 2020, Volume 231, Article number 103861. OPEN ACCESS. Doi: https://doi.org/10.1016/j.livsci.2019.103861
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