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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
01/07/2021 |
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Actualizado : |
22/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
SCHILD, C.; BOABAID F.M.; OLIVERA L.G.S.; MACHADO, M.; VILDOZA, A.; SARAVIA, A.; CUSTODIO A.; COMMAND, C.; MARTÍNEZ, A.; JAURENA, M.; DIXON, R.; RIET-CORREA, F. |
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Afiliación : |
CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIANA M BOABAID, Department of Pathology, School of Veterinary Medicine, University of the Republic, Tacuarembó, Uruguay.; LUIZ G S OLIVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; MIZAEL MACHADO DA COSTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA VILDOSA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; ANDERSON SARAVIA DE MELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRA CUSTODIO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; CAROLINA COMMAND, Laboratory Clinical Analysis CEB, Paysandú, Uruguay.; AGUSTÍN MARTÍNEZ; MARTIN ALEJANDRO JAURENA BARRIOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROB DIXON, Queensland Alliance for Agricultural and Food Innovation, The University of Queensland, Rockhampton, Australia.; FRANKLIN RIET-CORREA AMARAL, Escola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador, Brazil. |
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Título : |
Osteomalacia as a result of phosphorus deficiency in beef cattle grazing subtropical native pastures in Uruguay. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Journal of Veterinary Diagnostic Investigation, 2021. OPEN ACCESS. Doi: https://doi.org/10.1177/10406387211025828 |
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DOI : |
10.1177/10406387211025828 |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
We investigated 2 outbreaks of osteomalacia as a result of phosphorus (P) deficiency in herds of lactating beef cows grazing subtropical native pastures in Uruguay. Cows exhibited pica, difficulty to stand and walk, rib fractures, and body weight loss even with adequate forage availability. Osteopenia and severe osteomalacia were observed on gross and histologic examination. The concentrations of bicarbonate-extractable P in soil (4.0, 4.1 mg P/kg), total P in pasture (0.9, 1.1 g P/kg), inorganic P in serum (1.0, 0.71 mmol P/L), and P in bone (73 mg P/mL) were all low. Although injectable and mineral salt supplements provided additional P in both outbreaks, these supplementary amounts were insufficient to prevent P deficiency. The P ingested by the cows from the pasture and supplements would have provided 20-55% of their daily P requirements of ~21 g P/d. Osteomalacia occurred in cattle at the 2 ranches as a result of severe P deficiency in the soil and forage, and inadequate P supplementation. Following diagnosis, control of P deficiency in beef cattle requires estimation of the amount of pasture P ingested and provision of sufficient additional supplementary P to meet the animals' requirements. |
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Palabras claves : |
Lactating beef cows; Osteomalacia; Phosphorus deficiency; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL; PLATAFORMA DE SALUD ANIMAL; Subtropical native pasture. |
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Thesagro : |
URUGUAY. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15748/1/Schild-C.O.-et-al-2021-Jr.Veterinary-Diagnostic-Investigation-10406387211025828.pdf
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Marc : |
LEADER 02331naa a2200349 a 4500
001 1062211
005 2022-09-22
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1177/10406387211025828$2DOI
100 1 $aSCHILD, C.
245 $aOsteomalacia as a result of phosphorus deficiency in beef cattle grazing subtropical native pastures in Uruguay.$h[electronic resource]
260 $c2021
520 $aAbstract: We investigated 2 outbreaks of osteomalacia as a result of phosphorus (P) deficiency in herds of lactating beef cows grazing subtropical native pastures in Uruguay. Cows exhibited pica, difficulty to stand and walk, rib fractures, and body weight loss even with adequate forage availability. Osteopenia and severe osteomalacia were observed on gross and histologic examination. The concentrations of bicarbonate-extractable P in soil (4.0, 4.1 mg P/kg), total P in pasture (0.9, 1.1 g P/kg), inorganic P in serum (1.0, 0.71 mmol P/L), and P in bone (73 mg P/mL) were all low. Although injectable and mineral salt supplements provided additional P in both outbreaks, these supplementary amounts were insufficient to prevent P deficiency. The P ingested by the cows from the pasture and supplements would have provided 20-55% of their daily P requirements of ~21 g P/d. Osteomalacia occurred in cattle at the 2 ranches as a result of severe P deficiency in the soil and forage, and inadequate P supplementation. Following diagnosis, control of P deficiency in beef cattle requires estimation of the amount of pasture P ingested and provision of sufficient additional supplementary P to meet the animals' requirements.
650 $aURUGUAY
653 $aLactating beef cows
653 $aOsteomalacia
653 $aPhosphorus deficiency
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL
653 $aPLATAFORMA DE SALUD ANIMAL
653 $aSubtropical native pasture
700 1 $aBOABAID F.M.
700 1 $aOLIVERA L.G.S.
700 1 $aMACHADO, M.
700 1 $aVILDOZA, A.
700 1 $aSARAVIA, A.
700 1 $aCUSTODIO A.
700 1 $aCOMMAND, C.
700 1 $aMARTÍNEZ, A.
700 1 $aJAURENA, M.
700 1 $aDIXON, R.
700 1 $aRIET-CORREA, F.
773 $tJournal of Veterinary Diagnostic Investigation, 2021. OPEN ACCESS. Doi: https://doi.org/10.1177/10406387211025828
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LOURENCO, D.; TSURUTA, S.; FRAGOMENI, B.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; MOSER, D.; MISZTAL, I. |
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Afiliación : |
DANIELA LOURENCO, University of Georgia, Department of Animal and Dairy Science, GA, USA; SHOGO TSURUTA, University of Georgia, Department of Animal and Dairy Science, GA, USA; BRENO FRAGOMENI, University of Georgia, Department of Animal and Dairy Science, GA, USA; YUTAKA MASUDA, University of Georgia, Department of Animal and Dairy Science, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, Institut National de la Recherche Agronomique, Castanet Tolosan, France; STEPHEN MILLER, Angus Genetics Inc., MO, USA; DAN MOSER, Angus Genetics Inc., MO, USA; IGNACY MISZTAL, University of Georgia, Department of Animal and Dairy Science, GA, USA. |
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Título : |
Single-step genomic BLUP for national beef cattle evaluation in US: from initial developments to final implementation. |
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Complemento del título : |
Volume Species - Bovine (beef) 1, 495. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic data was also developed. On average, the increase in ability to predict future performance, for BW, WW, and PWG, with ssGBLUP was 25% in the 2014 data and 36% in the 2017 data, compared to the traditional BLUP. The ssGBLUP with APY was as accurate as the regular ssGBLUP when the number of core animals was at least 10,000, independently of which animals were in the core group. Interim predictions derived from ssGBLUP provided accurate genomic values for newly-genotyped animals. Genetic trends for ssGBLUP and BLUP were similar, revealing overestimation in multistep evaluations, especially for traits with less phenotypes. Single-step GBLUP became a reality for American Angus evaluation and its implementation process resulted in successful updates in methodology, making this approach mature for national beef cattle evaluation. Keywords: algorithm for proven and young, Angus, genomic selection, indirect prediction. MenosABSTRACT.
The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic... Presentar Todo |
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Palabras claves : |
Algorithm for proven and young; Angus; Genomic selection; Indirect prediction. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15436/1/Lourenco-et-al-2018-WCGALP.pdf
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Marc : |
LEADER 03286nam a2200253 a 4500
001 1061912
005 2021-03-31
008 2018 bl uuuu u01u1 u #d
100 1 $aLOURENCO, D.
245 $aSingle-step genomic BLUP for national beef cattle evaluation in US$bfrom initial developments to final implementation.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.$c2018
520 $aABSTRACT. The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic data was also developed. On average, the increase in ability to predict future performance, for BW, WW, and PWG, with ssGBLUP was 25% in the 2014 data and 36% in the 2017 data, compared to the traditional BLUP. The ssGBLUP with APY was as accurate as the regular ssGBLUP when the number of core animals was at least 10,000, independently of which animals were in the core group. Interim predictions derived from ssGBLUP provided accurate genomic values for newly-genotyped animals. Genetic trends for ssGBLUP and BLUP were similar, revealing overestimation in multistep evaluations, especially for traits with less phenotypes. Single-step GBLUP became a reality for American Angus evaluation and its implementation process resulted in successful updates in methodology, making this approach mature for national beef cattle evaluation. Keywords: algorithm for proven and young, Angus, genomic selection, indirect prediction.
653 $aAlgorithm for proven and young
653 $aAngus
653 $aGenomic selection
653 $aIndirect prediction
700 1 $aTSURUTA, S.
700 1 $aFRAGOMENI, B.
700 1 $aMASUDA, Y.
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aMILLER, S.
700 1 $aMOSER, D.
700 1 $aMISZTAL, I.
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