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Registros recuperados : 224 | |
47. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Evaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation. Animal Production Science, 2022, Volume 62, Issue 17, pages 1652-1660. doi: https://doi.org/10.1071/AN21420 Article history: Submitted 24 August 2021; Accepted 10 June 2022; Published online 1 August 2022. -- Handling Editor: Sue Hatcher. --
Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación...Biblioteca(s): INIA Las Brujas. |
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49. | | WILLIAMS, J.L.; AGUILAR, I.; REKAYA, R.; BERTRAND, J.K. Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies. Journal of Animal Science, 2010, v.88, no.2, p.460-466. Article history: Received November 7, 2008. / Accepted October 2, 2009.Biblioteca(s): INIA Las Brujas. |
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53. | | SIGDEL, A.; AGUILAR, I.; ABDOLLAHI-ARPANAHI, R.; PEÑAGARICANO, F. Genetic analysis of heat tolerance for production and health traits in US Holstein cows. Volume Biology & Species - Bovine (dairy) 1, 916. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. 6 p.Biblioteca(s): INIA Las Brujas. |
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57. | | RAVAGNOLO, O.; AGUILAR, I.; LEMA, O.M.; GOLDBERG, V. Genetic parameters for cow weight in pasture fed Hereford cattle. Volume Species Breeding: Beef cattle (Posters), ,760. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.760.Biblioteca(s): INIA Las Brujas. |
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59. | | FRIONI, N.; URIOSTE, J.I.; AGUILAR, I.; ROVERE, G. Genetic parameters of days open, milk, fat and protein yield of uruguayan Holstein on pasture systems. GMA 8 - COMUNICACIONES LIBRES - GMA. GENÉTICA Y MEJORAMIENTO ANIMAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 190Biblioteca(s): INIA Las Brujas. |
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60. | | TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T. J. Genome wide association study on cow mortality in three US regions. Volume Species Breeding: Dairy cattle (Posters), 805. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.805.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 224 | |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 2 |
Autor : |
SIMEONE, R.; MISZTAL, I.; AGUILAR, I.; VITEZICA, Z.G. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure. |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2012, v.129, no.1, p.3-10. |
ISSN : |
0931-2668 |
DOI : |
10.1111/j.1439-0388.2011.00939.x |
Idioma : |
Inglés |
Notas : |
Article history: Received: 26 July 2010 / Accepted: 4 June 2011. |
Contenido : |
ABSTRACT.
Effects on prediction of analysing a multi-line chicken population as one line were evaluated. Body weight records were provided by Cobb-Vantress for two lines of broiler chickens. Phenotypic records for 183695 and 164149 broilers and genotypic records for 3195 and 3001 broilers were available for each line. Lines were combined to create a multi-line population and analysed using a single-step procedure combining the additive relationship matrix and the genomic relationship matrix (G). G was scaled using allele frequencies from each line, the multi-line population, or 0.5. When allele frequencies were calculated from each line, distributions of diagonal elements were bimodal. When allele frequencies were calculated from the multi-line population, the distribution of diagonal elements had one peak. When allele frequency 0.5 was used, the distribution was bimodal. Genomic estimated breeding values (GEBVs) were predicted using each allele frequency. GEBVs differed with allele frequency but had ≥0.99 correlations with GEBVs predicted with correct allele frequencies. Means of each line and differences in mean between the lines differed based on allele frequencies. Assumed allele frequencies have little impact on ranking within line but larger impact on ranking across lines. G may be used to evaluate multiple populations simultaneously but must be adjusted to obtain properly scaled estimates when population structure is unknown.
© 2011 Blackwell Verlag GmbH. |
Thesagro : |
MEJORAMIENTO GENETICO ANIMAL; POLLO. |
Asunto categoría : |
-- L10 Genética y mejoramiento animal |
Marc : |
LEADER 02202naa a2200217 a 4500 001 1012843 005 2019-10-15 008 2012 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $a10.1111/j.1439-0388.2011.00939.x$2DOI 100 1 $aSIMEONE, R. 245 $aEvaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure. 260 $c2012 500 $aArticle history: Received: 26 July 2010 / Accepted: 4 June 2011. 520 $aABSTRACT. Effects on prediction of analysing a multi-line chicken population as one line were evaluated. Body weight records were provided by Cobb-Vantress for two lines of broiler chickens. Phenotypic records for 183695 and 164149 broilers and genotypic records for 3195 and 3001 broilers were available for each line. Lines were combined to create a multi-line population and analysed using a single-step procedure combining the additive relationship matrix and the genomic relationship matrix (G). G was scaled using allele frequencies from each line, the multi-line population, or 0.5. When allele frequencies were calculated from each line, distributions of diagonal elements were bimodal. When allele frequencies were calculated from the multi-line population, the distribution of diagonal elements had one peak. When allele frequency 0.5 was used, the distribution was bimodal. Genomic estimated breeding values (GEBVs) were predicted using each allele frequency. GEBVs differed with allele frequency but had ≥0.99 correlations with GEBVs predicted with correct allele frequencies. Means of each line and differences in mean between the lines differed based on allele frequencies. Assumed allele frequencies have little impact on ranking within line but larger impact on ranking across lines. G may be used to evaluate multiple populations simultaneously but must be adjusted to obtain properly scaled estimates when population structure is unknown. © 2011 Blackwell Verlag GmbH. 650 $aMEJORAMIENTO GENETICO ANIMAL 650 $aPOLLO 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aVITEZICA, Z.G. 773 $tJournal of Animal Breeding and Genetics, 2012$gv.129, no.1, p.3-10.
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