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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 :  05/04/2022
Actualizado :  02/12/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  TALMÓN, D.; MENDOZA, A.; CARRIQUIRY, M.
Afiliación :  DANIEL TALMÓN, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, 12900, Uruguay; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA CARRIQUIRY, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, 12900, Uruguay.
Título :  Holstein strain affects energy and feed efficiency in a grazing dairy system.
Fecha de publicación :  2022
Fuente / Imprenta :  Animal Production Science, 2022, Volume 62, Issue 8, pages 765-773. doi: https://doi.org/10.1071/AN20587
ISSN :  1836-0939
DOI :  10.1071/AN20587
Idioma :  Inglés
Notas :  Article history: Submitted 18 October 2020; Accepted 23 November 2021; Published online 20 January 2022. Handling Editor: Pablo Gregorini. Corresponding author: Talmón, D.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; email:danieltalmon94@gmail.com
Contenido :  ABSTRACT.- Context: Improving the partitioning of the energy consumed by dairy cows towards milk-solid production is a priority in grazing diary systems because energy efficiency has been associated with sustainability. Different selection criteria in the Holstein breed have led to divergent Holstein strains with different suitability to grazing systems. Aim: The objective of this work was to quantify and evaluate the energy partitioning between maintenance and milk production of two divergent Holstein strains (New Zealand Holstein and North American Holstein) in a grazing system without supplementation of concentrate. Methods: New Zealand Holstein and North American Holstein cows, nine of each, in mid-lactation (183 ± 37 days in milk, mean ± s.d.) were allocated in a randomised block design and evaluated under grazing conditions. The cows were managed under a daily strip-grazing system and grazed perennial ryegrass as the only source of nutrients. After an adaptation period of 14 days, heat production, retained energy in milk and metabolisable energy intake were measured over 7 days, and animal behaviour was simultaneously recorded. Key results: Milk yield did not differ between Holstein strains, but fat and protein content were greater for New Zealand than North American Holstein cows; consequently, retained energy in milk was 13% greater for the former strain. Heat production did not differ between Holstein strains, but metabolisable energy intake (kJ/bodyweight0.75.day) ... Presentar Todo
Palabras claves :  Dairy cattle; Dairy cows; Dairy nutrition; Feed conversion efficiency; Grazing; Heat production; Holstein–Friesian; Pasture-based system.
Asunto categoría :  L10 Genética y mejoramiento animal
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB102997 - 1PXIAP - DDPP/Animal Production Science/2022
LE103510 - 1PXIAP - DDPP/Animal Production Science/2022

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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 Las Brujas.
Fecha actual :  18/12/2017
Actualizado :  15/10/2019
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  LOURENCO, D.A.L.; FRAGOMENI, B.O.; BRADFORD, H.L.; MENEZES I.R.; FERRAZ, J.B.S.; AGUILAR, I.; MISZTAL, I.
Afiliación :  D.A.L. LOURENCO, Universidad de Georgia (UG); B.O. FRAGOMENI, Universidad de Georgia (UG); H.L. BRADFORD, Universidad de Georgia (UG); I.R. MENEZES, FZEA, University of Sao Paulo.; J.B.S. FERRAZ, FZEA, University of Sao Paulo.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. MISZTAL, Universidad de Georgia (UG).
Título :  Implications of SNP weighting on single-step genomic predictions for different reference population sizes.
Fecha de publicación :  2017
Fuente / Imprenta :  Journal of Animal Breeding and Genetics, 2017, v. 134 (6), p. 463-471.
DOI :  10.1111/jbg.12288
Idioma :  Inglés
Notas :  Article history: Received: 28 February 2017 / Accepted: 19 July 2017. This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI) and by Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the US Department of Agriculture's National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers, and we thank Andra H. Nelson for assisting with data analysis.
Contenido :  ABSTRACT. We investigated the importance of SNP weighting in populations with 2,000 to 25,000 genotyped animals. Populations were simulated with two effective sizes (20 or 100) and three numbers of QTL (10, 50 or 500). Pedigree information was available for six generations; phenotypes were recorded for the four middle generations. Animals from the last three generations were genotyped for 45,000 SNP. Single-step genomic BLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used to estimate genomic EBV using a genomic relationship matrix (G). The WssGBLUP performed better in small genotyped populations; however, any advantage for WssGBLUP was reduced or eliminated when more animals were genotyped. WssGBLUP had greater resolution for genome-wide association (GWA) as did increasing the number of genotyped animals. For few QTL, accuracy was greater for WssGBLUP than ssGBLUP; however, for many QTL, accuracy was the same for both methods. The largest genotyped set was used to assess the dimensionality of genomic information (number of effective SNP). The number of effective SNP was considerably less in weighted G than in unweighted G. Once the number of independent SNP is well represented in the genotyped population, the impact of SNP weighting becomes less important. © 2017 Blackwell Verlag GmbH
Palabras claves :  ACCURAY; BAYES B; SNP WEIGHTING; VARIABLE SELECTION; WEIGTED SSGBLUP.
Asunto categoría :  --
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB101521 - 1PXIAP - DDPP/JAB&G/2017
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