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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
26/09/2014 |
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Actualizado : |
06/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
LADO, B.; MATUS, I.; RODRIGUEZ, A.; INOSTROZA, L.; POLAND, J.; BELZILE ,F.; DEL POZO, A.; QUINCKE, M.; CASTRO, M.; VON ZITZEWITZ, J. |
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Afiliación : |
BETTINA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARINA CASTRO DERENYI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JARISLAV RAMON VON ZITZEWITZ VON SALVIATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Increased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
G3: Genes, Genomes, Genetics (Bethesda), v. 3, n,12, p. 2105-2114, 2013.OPEN ACCESS. |
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ISSN : |
2160-1836. |
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DOI : |
10.1534/g3.113.007807 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 2013 Aug 26 // Accepted 2013 Sep 18. |
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Contenido : |
Abstract:
In crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applying new technologies in molecular marker identification with next-generation sequencing. We applied genotyping-by-sequencing, a recently developed method to identify single-nucleotide polymorphisms, in the genomes of 384 wheat (Triticum aestivum) genotypes that were field tested under three different water regimes in Mediterranean climatic conditions: rain-fed only, mild water stress, and fully irrigated. We identified 102,324 single-nucleotide polymorphisms in these genotypes, and the phenotypic data were used to train and test genomic selection models intended to predict yield, thousand-kernel weight, number of kernels per spike, and heading date. Phenotypic data showed marked spatial variation. Therefore, different models were tested to correct the trends observed in the field. A mixed-model using moving-means as a covariate was found to best fit the data. When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment. Multiple genomic selection models were tested, and a Gaussian kernel model was determined to give the highest accuracy. The best predictions between environments were obtained when data from different years were used to train the model. Our results confirm that genotyping-by-sequencing is an effective tool to obtain genome-wide information for crops with complex genomes, that these data are efficient for predicting traits, and that correction of spatial variation is a crucial ingredient to increase prediction accuracy in genomic selection models. MenosAbstract:
In crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applying new technologies in molecular marker identification with next-generation sequencing. We applied genotyping-by-sequencing, a recently developed method to identify single-nucleotide polymorphisms, in the genomes of 384 wheat (Triticum aestivum) genotypes that were field tested under three different water regimes in Mediterranean climatic conditions: rain-fed only, mild water stress, and fully irrigated. We identified 102,324 single-nucleotide polymorphisms in these genotypes, and the phenotypic data were used to train and test genomic selection models intended to predict yield, thousand-kernel weight, number of kernels per spike, and heading date. Phenotypic data showed marked spatial variation. Therefore, different models were tested to correct the trends observed in the field. A mixed-model using moving-means as a covariate was found to best fit the data. When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment. Multiple genomic selection models were tested, and a Gaussian kernel model was determined to give the highest accuracy. The best predictions between environments were obtained when data from different years were used to train the model. Our results confir... Presentar Todo |
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Palabras claves : |
GBLUP; GENOMIC SELECTION; GENOTIPADO POR SECUENCIACIÓN; GENOTYPING BY SEQUENCING; GENPRED; LOCUS DE UN CARÁCTER CUANTITATIVO; MEJOR PREDICTOR LINEAR INSESGADO; POLIMORFISMO DE NUCLEÓTICO SIMPLE; QTL; QUANTITATIVE TRAIT LOCUS; SELECCIÓN GENÓMICA; SHARED DATA RESOURCES; SINGLE NUCLEOTIDE POLYMORPHISM; SPATIAL CORRECTION; WHEAT. |
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Thesagro : |
TRIGO; TRITICUM AESTIVUM. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13756/1/G3Bethesda-v.-3-n12-p.-2105-2114-2013.pdf
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Marc : |
LEADER 03249naa a2200469 a 4500
001 1050586
005 2019-11-06
008 2013 bl uuuu u00u1 u #d
022 $a2160-1836.
024 7 $a10.1534/g3.113.007807$2DOI
100 1 $aLADO, B.
245 $aIncreased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data.$h[electronic resource]
260 $c2013
500 $aArticle history: Received 2013 Aug 26 // Accepted 2013 Sep 18.
520 $aAbstract: In crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applying new technologies in molecular marker identification with next-generation sequencing. We applied genotyping-by-sequencing, a recently developed method to identify single-nucleotide polymorphisms, in the genomes of 384 wheat (Triticum aestivum) genotypes that were field tested under three different water regimes in Mediterranean climatic conditions: rain-fed only, mild water stress, and fully irrigated. We identified 102,324 single-nucleotide polymorphisms in these genotypes, and the phenotypic data were used to train and test genomic selection models intended to predict yield, thousand-kernel weight, number of kernels per spike, and heading date. Phenotypic data showed marked spatial variation. Therefore, different models were tested to correct the trends observed in the field. A mixed-model using moving-means as a covariate was found to best fit the data. When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment. Multiple genomic selection models were tested, and a Gaussian kernel model was determined to give the highest accuracy. The best predictions between environments were obtained when data from different years were used to train the model. Our results confirm that genotyping-by-sequencing is an effective tool to obtain genome-wide information for crops with complex genomes, that these data are efficient for predicting traits, and that correction of spatial variation is a crucial ingredient to increase prediction accuracy in genomic selection models.
650 $aTRIGO
650 $aTRITICUM AESTIVUM
653 $aGBLUP
653 $aGENOMIC SELECTION
653 $aGENOTIPADO POR SECUENCIACIÓN
653 $aGENOTYPING BY SEQUENCING
653 $aGENPRED
653 $aLOCUS DE UN CARÁCTER CUANTITATIVO
653 $aMEJOR PREDICTOR LINEAR INSESGADO
653 $aPOLIMORFISMO DE NUCLEÓTICO SIMPLE
653 $aQTL
653 $aQUANTITATIVE TRAIT LOCUS
653 $aSELECCIÓN GENÓMICA
653 $aSHARED DATA RESOURCES
653 $aSINGLE NUCLEOTIDE POLYMORPHISM
653 $aSPATIAL CORRECTION
653 $aWHEAT
700 1 $aMATUS, I.
700 1 $aRODRIGUEZ, A.
700 1 $aINOSTROZA, L.
700 1 $aPOLAND, J.
700 1 $aBELZILE ,F.
700 1 $aDEL POZO, A.
700 1 $aQUINCKE, M.
700 1 $aCASTRO, M.
700 1 $aVON ZITZEWITZ, J.
773 $tG3: Genes, Genomes, Genetics (Bethesda)$gv. 3, n,12, p. 2105-2114, 2013.OPEN ACCESS.
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Registro original : |
INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
04/02/2015 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
ASTESSIANO, A.L.; PÉREZ-CLARIGET, R.; QUINTANS, G.; SOCA, A.; MEIKLE, A.; CROOKER, B.A.; CARRIQUIRY, M. |
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Afiliación : |
GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Metabolic and endocrine profiles and hepatic gene expression in periparturient, grazing primiparous cows with different body reserves. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Livestock Science, 2014, v.170, no. 1, p. 63-71 |
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DOI : |
10.1016/j.livsci.2014.10.008 |
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Idioma : |
Inglés |
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Notas : |
Article history: received 12 April 2014; received in revised form 3 October 2014; accepted 6 October 2014. |
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Contenido : |
Abstract
The objective was to determine effects of prepartum BCS on metabolic/endocrine profiles and hepatic gene expression and their associations with cow and calf performance in grazing suckled-primiparous beef cows from 49 to 49 days postpartum (DPP). Twenty crossbred cows selected according to expected calving date, were classified at 35 DPP into thin (BCSo4.5) or moderate (BCSZ4.5) BCS groups and blocked by calving date. Blood samples were obtained weekly for metabolite and hormone analyses and liver biopsies were collected at 11, 7, 31, and 49 DPP. Cow BW and BCS were greater in moderate than thin cows throughout the period. Estimated energy intake was greater in moderate than thin cows Moderate BCS cows produced more milk than thin cows at 35 DPP and calves from moderate BCS cows had greater BW and average daily gain than calves from thin cows. Serum leptin tended to be greater while adiponectin was less in moderate than thin BCS cows. Overall serum insulin was less in moderate than thin cows while serum IGF-I during the prepartum was greater in moderate than thin BCS cows.
Growth hormone receptor (GHR) mRNA was 2-fold greater at 11 DPP while GHR1A and IGF1 mRNA were 2.5-fold less at 49 DPP in moderate than thin BCS cows. The IGFBP2 mRNA decreased in moderate but increased in thin BCS cows from 11 to 49 DPP. These results were associated with changes in body reserves during prepartum and may indicate that prepartum differences in BCS lost can affect nutrient partitioning towards the mammary gland, and subsequent milk production and calf weight. MenosAbstract
The objective was to determine effects of prepartum BCS on metabolic/endocrine profiles and hepatic gene expression and their associations with cow and calf performance in grazing suckled-primiparous beef cows from 49 to 49 days postpartum (DPP). Twenty crossbred cows selected according to expected calving date, were classified at 35 DPP into thin (BCSo4.5) or moderate (BCSZ4.5) BCS groups and blocked by calving date. Blood samples were obtained weekly for metabolite and hormone analyses and liver biopsies were collected at 11, 7, 31, and 49 DPP. Cow BW and BCS were greater in moderate than thin cows throughout the period. Estimated energy intake was greater in moderate than thin cows Moderate BCS cows produced more milk than thin cows at 35 DPP and calves from moderate BCS cows had greater BW and average daily gain than calves from thin cows. Serum leptin tended to be greater while adiponectin was less in moderate than thin BCS cows. Overall serum insulin was less in moderate than thin cows while serum IGF-I during the prepartum was greater in moderate than thin BCS cows.
Growth hormone receptor (GHR) mRNA was 2-fold greater at 11 DPP while GHR1A and IGF1 mRNA were 2.5-fold less at 49 DPP in moderate than thin BCS cows. The IGFBP2 mRNA decreased in moderate but increased in thin BCS cows from 11 to 49 DPP. These results were associated with changes in body reserves during prepartum and may indicate that prepartum differences in BCS lost can affect nutrient partitio... Presentar Todo |
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Palabras claves : |
BODY CONDITION; CATTLE; METABOLIC PROFILE; MRNA; PASTURES. |
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Thesagro : |
BOVINOS DE CARNE; CONDICION CORPORAL; NUTRICIÓN ANIMAL; PASTOREO. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02621naa a2200325 a 4500
001 1052132
005 2019-10-11
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1016/j.livsci.2014.10.008$2DOI
100 1 $aASTESSIANO, A.L.
245 $aMetabolic and endocrine profiles and hepatic gene expression in periparturient, grazing primiparous cows with different body reserves.$h[electronic resource]
260 $c2014
500 $aArticle history: received 12 April 2014; received in revised form 3 October 2014; accepted 6 October 2014.
520 $aAbstract The objective was to determine effects of prepartum BCS on metabolic/endocrine profiles and hepatic gene expression and their associations with cow and calf performance in grazing suckled-primiparous beef cows from 49 to 49 days postpartum (DPP). Twenty crossbred cows selected according to expected calving date, were classified at 35 DPP into thin (BCSo4.5) or moderate (BCSZ4.5) BCS groups and blocked by calving date. Blood samples were obtained weekly for metabolite and hormone analyses and liver biopsies were collected at 11, 7, 31, and 49 DPP. Cow BW and BCS were greater in moderate than thin cows throughout the period. Estimated energy intake was greater in moderate than thin cows Moderate BCS cows produced more milk than thin cows at 35 DPP and calves from moderate BCS cows had greater BW and average daily gain than calves from thin cows. Serum leptin tended to be greater while adiponectin was less in moderate than thin BCS cows. Overall serum insulin was less in moderate than thin cows while serum IGF-I during the prepartum was greater in moderate than thin BCS cows. Growth hormone receptor (GHR) mRNA was 2-fold greater at 11 DPP while GHR1A and IGF1 mRNA were 2.5-fold less at 49 DPP in moderate than thin BCS cows. The IGFBP2 mRNA decreased in moderate but increased in thin BCS cows from 11 to 49 DPP. These results were associated with changes in body reserves during prepartum and may indicate that prepartum differences in BCS lost can affect nutrient partitioning towards the mammary gland, and subsequent milk production and calf weight.
650 $aBOVINOS DE CARNE
650 $aCONDICION CORPORAL
650 $aNUTRICIÓN ANIMAL
650 $aPASTOREO
653 $aBODY CONDITION
653 $aCATTLE
653 $aMETABOLIC PROFILE
653 $aMRNA
653 $aPASTURES
700 1 $aPÉREZ-CLARIGET, R.
700 1 $aQUINTANS, G.
700 1 $aSOCA, A.
700 1 $aMEIKLE, A.
700 1 $aCROOKER, B.A.
700 1 $aCARRIQUIRY, M.
773 $tLivestock Science, 2014$gv.170, no. 1, p. 63-71
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