| |
|
|
 | 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 : |
17/09/2014 |
|
Actualizado : |
30/10/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
SILVA, S.D.L.; TAROUCO, J.U.; Ferraz, J.B.S.; GOMES, R.D.C.; LEME, P.R.; NAVAJAS, E.A. |
|
Afiliación : |
ELLY ANA NAVAJAS VALENTINI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
|
Título : |
Prediction of retail beef yield, trim fat and proportion of high-valued cuts in nellore cattle using ultrasound live measurements. |
|
Fecha de publicación : |
2012 |
|
Fuente / Imprenta : |
Revista Brasileira de Zootecnia, 2012, vol.41, no.9, p.2025-2031. |
|
ISSN : |
1806-9290 |
|
DOI : |
10.1590/S1516-35982012000900009 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received October 20, 2011 / Accepted May 10, 2012. |
|
Contenido : |
ABSTRACT
The objective of this study was to develop equations to predict retail product and fat trim (weights and percentages) for Nellore (Bos indicus) cattle. Live ultrasound measurements of the longissimus muscle area, backfat thickness at the 12th rib and rump fat depth and shrunk body weight were obtained from 218 Nellore steers to predict weights and percentages of carcass retail product, pistola retail product and fat trimmings. After slaughter, carcasses were deboned and weighed and percentages of retail cuts were obtained directly. Measurements taken directly in the carcasses explained 97% and 36% of variation in carcass retail product weight and percentage, and 94% and 36% of variation in pistola retail weight and percentage, respectively. Live measurements explained 93% of carcass retail product weight and 39% of carcass retail product percentage. Lower accuracies were observed for pistola retail product weight (R2=0.87) and percentage (R2=0.33). Accuracies for fat trimmings weight and percentage were 79% and 55%, respectively. Ultrasound rump fat thickness showed greater correlations with retail product and fat trimmings (weights and percentages) when compared with ultrasound backfat thickness. The weight and percentage of retail products and of trimmable fat can be estimated in Nellore steers from live animal measurements, with similar accuracy to equations developed based on carcass measurements obtained at slaughter. |
|
Palabras claves : |
BEEF; Bos indicus; Retail product; Ultrasound. |
|
Thesagro : |
CANAL ANIMAL; GANADO VACUNO; ULTRASONIDO. |
|
Asunto categoría : |
L01 Ganadería |
|
Marc : |
LEADER 02403naa a2200301 a 4500
001 1050363
005 2019-10-30
008 2012 bl uuuu u00u1 u #d
022 $a1806-9290
024 7 $a10.1590/S1516-35982012000900009$2DOI
100 1 $aSILVA, S.D.L.
245 $aPrediction of retail beef yield, trim fat and proportion of high-valued cuts in nellore cattle using ultrasound live measurements.$h[electronic resource]
260 $c2012
500 $aArticle history: Received October 20, 2011 / Accepted May 10, 2012.
520 $aABSTRACT The objective of this study was to develop equations to predict retail product and fat trim (weights and percentages) for Nellore (Bos indicus) cattle. Live ultrasound measurements of the longissimus muscle area, backfat thickness at the 12th rib and rump fat depth and shrunk body weight were obtained from 218 Nellore steers to predict weights and percentages of carcass retail product, pistola retail product and fat trimmings. After slaughter, carcasses were deboned and weighed and percentages of retail cuts were obtained directly. Measurements taken directly in the carcasses explained 97% and 36% of variation in carcass retail product weight and percentage, and 94% and 36% of variation in pistola retail weight and percentage, respectively. Live measurements explained 93% of carcass retail product weight and 39% of carcass retail product percentage. Lower accuracies were observed for pistola retail product weight (R2=0.87) and percentage (R2=0.33). Accuracies for fat trimmings weight and percentage were 79% and 55%, respectively. Ultrasound rump fat thickness showed greater correlations with retail product and fat trimmings (weights and percentages) when compared with ultrasound backfat thickness. The weight and percentage of retail products and of trimmable fat can be estimated in Nellore steers from live animal measurements, with similar accuracy to equations developed based on carcass measurements obtained at slaughter.
650 $aCANAL ANIMAL
650 $aGANADO VACUNO
650 $aULTRASONIDO
653 $aBEEF
653 $aBos indicus
653 $aRetail product
653 $aUltrasound
700 1 $aTAROUCO, J.U.
700 1 $aFERRAZ, J.B.S.
700 1 $aGOMES, R.D.C.
700 1 $aLEME, P.R.
700 1 $aNAVAJAS, E.A.
773 $tRevista Brasileira de Zootecnia, 2012, vol.41, no.9, p.2025-2031.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
21/02/2014 |
|
Actualizado : |
15/10/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
A - 1 |
|
Autor : |
AGUILAR, I.; MISZTAL, I.; JOHNSON, D.L.; LEGARRA, A.; TSURUTA, S.; LAWLOR, T.J. |
|
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. MISZTAL, University of Georgia (US); D.L. JOHNSON, Livestock Improvement Corp. (NZ); A. LEGARRA, INRA (FR); S. TSURUTA, University of Georgia (US); T.J. LAWLOR, Holstein Association USA Inc. (US). |
|
Título : |
Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. |
|
Fecha de publicación : |
2010 |
|
Fuente / Imprenta : |
Journal of Dairy Science, 2010, v. 93, no. 2, p. 743-752. OPEN ACCESS |
|
DOI : |
10.3168/jds.2009-2730 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received September 14, 2009 / Accepted November 10, 2009 / Published in issue: February 2010. |
|
Contenido : |
ABSTRACT.
The first national single-step, full-information (phenotype, pedigree, and marker genotype) genetic evaluation was developed for final score of US Holsteins. Data included final scores recorded from 1955 to 2009 for 6,232,548 Holsteins cows. BovineSNP50 (Illumina, San Diego, CA) genotypes from the Cooperative Dairy DNA Repository (Beltsville, MD) were available for 6,508 bulls. Three analyses used a repeatability animal model as currently used for the national US evaluation. The first 2 analyses used final scores recorded up to 2004. The first analysis used only a pedigree-based relationship matrix. The second analysis used a relationship matrix based on both pedigree and genomic information (single-step approach). The third analysis used the complete data set and only the pedigree-based relationship matrix. The fourth analysis used predictions from the first analysis (final scores up to 2004 and only a pedigree-based relationship matrix) and prediction using a genomic based matrix to obtain genetic evaluation (multiple-step approach). Different allele frequencies were tested in construction of the genomic relationship matrix. Coefficients of determination between predictions of young bulls from parent average, single-step, and multiple-step approaches and their 2009 daughter deviations were 0.24, 0.37 to 0.41, and 0.40, respectively. The highest coefficient of determination for a single-step approach was observed when using a genomic relationship matrix with assumed allele frequencies of 0.5. Coefficients for regression of 2009 daughter deviations on parent-average, single-step, and multiple-step predictions were 0.76, 0.68 to 0.79, and 0.86, respectively, which indicated some inflation of predictions. The single-step regression coefficient could be increased up to 0.92 by scaling differences between the genomic and pedigree-based relationship matrices with little loss in accuracy of prediction. One complete evaluation took about 2. h of computing time and 2.7 gigabytes of memory. Computing times for single-step analyses were slightly longer (2%) than for pedigree-based analysis. A national single-step genetic evaluation with the pedigree relationship matrix augmented with genomic information provided genomic predictions with accuracy and bias comparable to multiple-step procedures and could account for any population or data structure. Advantages of single-step evaluations should increase in the future when animals are pre-selected on genotypes.
© 2010 American Dairy Science Association. MenosABSTRACT.
The first national single-step, full-information (phenotype, pedigree, and marker genotype) genetic evaluation was developed for final score of US Holsteins. Data included final scores recorded from 1955 to 2009 for 6,232,548 Holsteins cows. BovineSNP50 (Illumina, San Diego, CA) genotypes from the Cooperative Dairy DNA Repository (Beltsville, MD) were available for 6,508 bulls. Three analyses used a repeatability animal model as currently used for the national US evaluation. The first 2 analyses used final scores recorded up to 2004. The first analysis used only a pedigree-based relationship matrix. The second analysis used a relationship matrix based on both pedigree and genomic information (single-step approach). The third analysis used the complete data set and only the pedigree-based relationship matrix. The fourth analysis used predictions from the first analysis (final scores up to 2004 and only a pedigree-based relationship matrix) and prediction using a genomic based matrix to obtain genetic evaluation (multiple-step approach). Different allele frequencies were tested in construction of the genomic relationship matrix. Coefficients of determination between predictions of young bulls from parent average, single-step, and multiple-step approaches and their 2009 daughter deviations were 0.24, 0.37 to 0.41, and 0.40, respectively. The highest coefficient of determination for a single-step approach was observed when using a genomic relationship matrix with assu... Presentar Todo |
|
Thesagro : |
FENOTIPOS; GANADO DE LECHE; MEJORAMIENTO GENETICO ANIMAL; PRODUCCION DE LECHE. |
|
Asunto categoría : |
L10 Genética y mejoramiento animal |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3702/1/Aguilar-I.-2010.-Jr.Dairy-Sci.v.93-p.743-752.pdf
https://www.journalofdairyscience.org/article/S0022-0302(10)71517-4/pdf
|
|
Marc : |
LEADER 03453naa a2200253 a 4500
001 1012834
005 2019-10-15
008 2010 bl uuuu u00u1 u #d
024 7 $a10.3168/jds.2009-2730$2DOI
100 1 $aAGUILAR, I.
245 $aHot topic$bA unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.$h[electronic resource]
260 $c2010
500 $aArticle history: Received September 14, 2009 / Accepted November 10, 2009 / Published in issue: February 2010.
520 $aABSTRACT. The first national single-step, full-information (phenotype, pedigree, and marker genotype) genetic evaluation was developed for final score of US Holsteins. Data included final scores recorded from 1955 to 2009 for 6,232,548 Holsteins cows. BovineSNP50 (Illumina, San Diego, CA) genotypes from the Cooperative Dairy DNA Repository (Beltsville, MD) were available for 6,508 bulls. Three analyses used a repeatability animal model as currently used for the national US evaluation. The first 2 analyses used final scores recorded up to 2004. The first analysis used only a pedigree-based relationship matrix. The second analysis used a relationship matrix based on both pedigree and genomic information (single-step approach). The third analysis used the complete data set and only the pedigree-based relationship matrix. The fourth analysis used predictions from the first analysis (final scores up to 2004 and only a pedigree-based relationship matrix) and prediction using a genomic based matrix to obtain genetic evaluation (multiple-step approach). Different allele frequencies were tested in construction of the genomic relationship matrix. Coefficients of determination between predictions of young bulls from parent average, single-step, and multiple-step approaches and their 2009 daughter deviations were 0.24, 0.37 to 0.41, and 0.40, respectively. The highest coefficient of determination for a single-step approach was observed when using a genomic relationship matrix with assumed allele frequencies of 0.5. Coefficients for regression of 2009 daughter deviations on parent-average, single-step, and multiple-step predictions were 0.76, 0.68 to 0.79, and 0.86, respectively, which indicated some inflation of predictions. The single-step regression coefficient could be increased up to 0.92 by scaling differences between the genomic and pedigree-based relationship matrices with little loss in accuracy of prediction. One complete evaluation took about 2. h of computing time and 2.7 gigabytes of memory. Computing times for single-step analyses were slightly longer (2%) than for pedigree-based analysis. A national single-step genetic evaluation with the pedigree relationship matrix augmented with genomic information provided genomic predictions with accuracy and bias comparable to multiple-step procedures and could account for any population or data structure. Advantages of single-step evaluations should increase in the future when animals are pre-selected on genotypes. © 2010 American Dairy Science Association.
650 $aFENOTIPOS
650 $aGANADO DE LECHE
650 $aMEJORAMIENTO GENETICO ANIMAL
650 $aPRODUCCION DE LECHE
700 1 $aMISZTAL, I.
700 1 $aJOHNSON, D.L.
700 1 $aLEGARRA, A.
700 1 $aTSURUTA, S.
700 1 $aLAWLOR, T.J.
773 $tJournal of Dairy Science, 2010$gv. 93, no. 2, p. 743-752. OPEN ACCESS
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
