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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
15/10/2014 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
CHEN, C.Y.; MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; MEUWISSEN, T.H.E.; AGGREY, S.E.; WING, T.; MUIR, W.M. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Journal of Animal Science, 2011, v.89, no.1, p.23-28. |
ISSN : |
0021-8812 |
DOI : |
10.2527/jas.2010-3071 |
Idioma : |
Inglés |
Notas : |
Article history: Received April 9, 2010 / Accepted September 22, 2010. |
Contenido : |
ABSTRACT.
Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and 0.09 with SUB. With SUB, Bayes A and ssGBLUP had similar accuracies. For traits of high heritability, the accuracy of Bayes A/SUB and ssGBLUP/FDS were similar, and up to 50% better than BLUP/FDS. However, with low heritability, ssGBLUP/ FDS was 4 to 6 times more accurate than Bayes A/SUB and 50% better than BLUP/FDS. An optimal genomic evaluation would be multi-trait and involve all traits and records on which selection is based.
©2011 American Society of Animal Science. MenosABSTRACT.
Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and... Presentar Todo |
Thesagro : |
MARCADORES GENÉTICOS; POLLO. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02840naa a2200265 a 4500 001 1051115 005 2019-10-15 008 2011 bl uuuu u00u1 u #d 022 $a0021-8812 024 7 $a10.2527/jas.2010-3071$2DOI 100 1 $aCHEN, C.Y. 245 $aGenome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step$bAn example using broiler chickens.$h[electronic resource] 260 $c2011 500 $aArticle history: Received April 9, 2010 / Accepted September 22, 2010. 520 $aABSTRACT. Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and 0.09 with SUB. With SUB, Bayes A and ssGBLUP had similar accuracies. For traits of high heritability, the accuracy of Bayes A/SUB and ssGBLUP/FDS were similar, and up to 50% better than BLUP/FDS. However, with low heritability, ssGBLUP/ FDS was 4 to 6 times more accurate than Bayes A/SUB and 50% better than BLUP/FDS. An optimal genomic evaluation would be multi-trait and involve all traits and records on which selection is based. ©2011 American Society of Animal Science. 650 $aMARCADORES GENÉTICOS 650 $aPOLLO 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aTSURUTA, S. 700 1 $aMEUWISSEN, T.H.E. 700 1 $aAGGREY, S.E. 700 1 $aWING, T. 700 1 $aMUIR, W.M. 773 $tJournal of Animal Science, 2011$gv.89, no.1, p.23-28.
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| Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Tacuarembó; INIA Treinta y Tres. |
Fecha actual : |
18/10/2018 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MARESCA, S.; LÓPEZ VALIENTE, S.; RODRÍGUEZ, A.M.; LONG, N.M.; PAVAN, E.; QUINTANS, G. |
Afiliación : |
S. MARESCA, Cuenca del Salado Experimental Station, National Institute of Agricultural Technology, Buenos Aires.; S. LÓPEZ VALIENTE, Cuenca del Salado Experimental Station, National Institute of Agricultural Technology, Buenos Aires.; A.M. RODRÍGUEZ, Cuenca del Salado Experimental Station, National Institute of Agricultural Technology, Buenos Aires.; N.M. LONG, Department of Animal Veterinary Sciences, Clemson University, USA.; E. PAVAN, Cuenca del Salado Experimental Station, National Institute of Agricultural Technology, Buenos Aires.; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Effect of protein restriction of bovine dams during late gestation on offspring postnatal growth, glucose-insulin metabolism and IGF-1 consentration. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Livestock Science, 2018, 212: 120-126. |
DOI : |
10.1016/j.livsci.2018.04.009 |
Idioma : |
Inglés |
Notas : |
Article history: Received 10 October 2017. Received in revised from 27 March 2018, accepted 11 April 2018. |
Contenido : |
Abstract:
The objective of this study was determine whether the amount of protein provided to cows during late gestation would affect postnatal growth and lead to changes on glucose, insulin and insulin-like growth factor concentrations. At 134 d prepartum, 68 multiparous Angus cows were blocked by BW and expected calving date and
randomly assigned to low protein level (LP, 6% CP) or high protein level (HP, 12% CP) and were allotted in 12 pens per treatment. At calving, cows were managed together on improved pastures until weaning. Calves were weighed and body measurements were recorded at birth. Blood samples were taken at birth and each 30 d until weaning at 180 d of age. Body weight at birth on HP progeny tended to be great than LP progeny (P=0.06). At birth, calves from LP dams had greater head circumference (P ? 0.01), heart girth (P=0.01) and cannon bone circumference (P=0.02). However, head circumference /birth BW ratio (P=0.04), heart girth /birth BW ratio (P=0.01), body length /birth BW ratio (P=0.05) and height /birth BW ratio (P=0.01) was greater on LP calves. Body mass index was greater in HP calves (P=0.04). No differences were found on BW of calves at weaning, adjusted 205d BW and ADG during lactation (P ? 0.10). Glucose concentrations were greater on LP
calves than HP calves from birth to weaning (81.0 ± 1.5 vs. 76.4 ± 1.2 mg/dl; P ? 0.001) without any change in insulin concentrations during preweaning growth (LP=1.61 ± 0.04 ng/ml; HP=1.61 ± 0.04 ng/ml; P ? 0.10). Insulin-like growth factor concentrations was less on LP calves at birth (P ? 0.05) and similar to HP calves
during postnatal growth (P ? 0.10). These data demonstrate that low protein during late gestation in bovine dams may affect fetal growth with proportional increasing of head circumference and low body mass index. Level of protein compromised glucose regulation in early life and affected the IGF-I concentration of newborn calves. MenosAbstract:
The objective of this study was determine whether the amount of protein provided to cows during late gestation would affect postnatal growth and lead to changes on glucose, insulin and insulin-like growth factor concentrations. At 134 d prepartum, 68 multiparous Angus cows were blocked by BW and expected calving date and
randomly assigned to low protein level (LP, 6% CP) or high protein level (HP, 12% CP) and were allotted in 12 pens per treatment. At calving, cows were managed together on improved pastures until weaning. Calves were weighed and body measurements were recorded at birth. Blood samples were taken at birth and each 30 d until weaning at 180 d of age. Body weight at birth on HP progeny tended to be great than LP progeny (P=0.06). At birth, calves from LP dams had greater head circumference (P ? 0.01), heart girth (P=0.01) and cannon bone circumference (P=0.02). However, head circumference /birth BW ratio (P=0.04), heart girth /birth BW ratio (P=0.01), body length /birth BW ratio (P=0.05) and height /birth BW ratio (P=0.01) was greater on LP calves. Body mass index was greater in HP calves (P=0.04). No differences were found on BW of calves at weaning, adjusted 205d BW and ADG during lactation (P ? 0.10). Glucose concentrations were greater on LP
calves than HP calves from birth to weaning (81.0 ± 1.5 vs. 76.4 ± 1.2 mg/dl; P ? 0.001) without any change in insulin concentrations during preweaning growth (LP=1.61 ± 0.04 ng/ml; HP=1.61 ± 0.04 ng/ml; P ? 0.... Presentar Todo |
Palabras claves : |
GESTATION; GLUCOSE METABOLISM; IGF-1; POSTNATAL GROWTH; UNDERNUTRITION. |
Thesagro : |
BOVINOS; GESTACION. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02900naa a2200289 a 4500 001 1059652 005 2019-10-09 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1016/j.livsci.2018.04.009$2DOI 100 1 $aMARESCA, S. 245 $aEffect of protein restriction of bovine dams during late gestation on offspring postnatal growth, glucose-insulin metabolism and IGF-1 consentration.$h[electronic resource] 260 $c2018 500 $aArticle history: Received 10 October 2017. Received in revised from 27 March 2018, accepted 11 April 2018. 520 $aAbstract: The objective of this study was determine whether the amount of protein provided to cows during late gestation would affect postnatal growth and lead to changes on glucose, insulin and insulin-like growth factor concentrations. At 134 d prepartum, 68 multiparous Angus cows were blocked by BW and expected calving date and randomly assigned to low protein level (LP, 6% CP) or high protein level (HP, 12% CP) and were allotted in 12 pens per treatment. At calving, cows were managed together on improved pastures until weaning. Calves were weighed and body measurements were recorded at birth. Blood samples were taken at birth and each 30 d until weaning at 180 d of age. Body weight at birth on HP progeny tended to be great than LP progeny (P=0.06). At birth, calves from LP dams had greater head circumference (P ? 0.01), heart girth (P=0.01) and cannon bone circumference (P=0.02). However, head circumference /birth BW ratio (P=0.04), heart girth /birth BW ratio (P=0.01), body length /birth BW ratio (P=0.05) and height /birth BW ratio (P=0.01) was greater on LP calves. Body mass index was greater in HP calves (P=0.04). No differences were found on BW of calves at weaning, adjusted 205d BW and ADG during lactation (P ? 0.10). Glucose concentrations were greater on LP calves than HP calves from birth to weaning (81.0 ± 1.5 vs. 76.4 ± 1.2 mg/dl; P ? 0.001) without any change in insulin concentrations during preweaning growth (LP=1.61 ± 0.04 ng/ml; HP=1.61 ± 0.04 ng/ml; P ? 0.10). Insulin-like growth factor concentrations was less on LP calves at birth (P ? 0.05) and similar to HP calves during postnatal growth (P ? 0.10). These data demonstrate that low protein during late gestation in bovine dams may affect fetal growth with proportional increasing of head circumference and low body mass index. Level of protein compromised glucose regulation in early life and affected the IGF-I concentration of newborn calves. 650 $aBOVINOS 650 $aGESTACION 653 $aGESTATION 653 $aGLUCOSE METABOLISM 653 $aIGF-1 653 $aPOSTNATAL GROWTH 653 $aUNDERNUTRITION 700 1 $aLÓPEZ VALIENTE, S. 700 1 $aRODRÍGUEZ, A.M. 700 1 $aLONG, N.M. 700 1 $aPAVAN, E. 700 1 $aQUINTANS, G. 773 $tLivestock Science, 2018, 212: 120-126.
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