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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
26/09/2014 |
Actualizado : |
06/11/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LADO, B.; MATUS, I.; RODRIGUEZ, A.; INOSTROZA, L.; POLAND, J.; BELZILE ,F.; DEL POZO, A.; QUINCKE, M.; CASTRO, M.; VON ZITZEWITZ, J. |
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. |
Título : |
Increased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
G3: Genes, Genomes, Genetics (Bethesda), v. 3, n,12, p. 2105-2114, 2013.OPEN ACCESS. |
ISSN : |
2160-1836. |
DOI : |
10.1534/g3.113.007807 |
Idioma : |
Inglés |
Notas : |
Article history: Received 2013 Aug 26 // Accepted 2013 Sep 18. |
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 |
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. |
Thesagro : |
TRIGO; TRITICUM AESTIVUM. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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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INIA La Estanzuela (LE) |
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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 actual : |
21/02/2014 |
Actualizado : |
23/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
SANDERS, D.C.; CURE, J.D.; SPERRY, W.J.; GILSANZ, J.C.; PRINCE, C.A.; BANDELE, O. |
Afiliación : |
DOUGLAS C. SANDERS, Universidad de North Carolina State (NCSU); J.D. CURE, Universidad de North Carolina State (NCSU); Universidad de Tennesse; JUAN CARLOS GILSANZ MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Long-term effects of rows per bed and in-row spacing on yield and spear size of asparagus |
Fecha de publicación : |
1998 |
Fuente / Imprenta : |
HortScience, 1998, 33 (4): 652-654 |
DOI : |
10.21273/HORTSCI.33.4.652 |
Idioma : |
Inglés |
Notas : |
Article history: Received for publication 4 June 1997 / Accepted for publication 28 Oct. 1997 / Print Publication Date: 01 Jul 1998 / Online Publication Date: Jul 1998 |
Contenido : |
ABSTRACT.
Three studies were conducted at Clinton, N.C., to investigate the relationship between number of rows per bed, in-row spacing, and spear yield of asparagus (Asparagus officinalis
L. ) over 11to 13years. In the first study, increasing plant densities from 21,550 to 43,100 plants/ha by doubling the number of rows/bed increased the cumulative yield from 64% to 80% for three hybrid lines ('UC 157', 'WSU 1', and 'WSU 2') but only 6% for 'Rutgers Beacon '.The effects of doubling the plant density were still apparent 13years later. In the second study, yields of 'Princeville' ('Mary Washington' selection) crowns, grown at densities from 14,000 to 86,000 plants/ha, were also increased for 8 years by doubling rows at various in-row spacings. In a third study, in which densities ranged from 21,000 to 387,900 plants/ha, the magnitude of the response to rows/bed was dependent on in-row spacing. Efficient use of bed space and the avoidance of crowding exerted a larger influence on productivity than did average planting density. The yield response to rows/ bed was greater and more persistent through the years for wider in-row spacings. Spear size was only marginally responsive to rows per bed and in-row spacing. |
Thesagro : |
ASPARAGUS OFFICINALIS; ESPARRAGO. |
Asunto categoría : |
-- |
Marc : |
LEADER 02014naa a2200229 a 4500 001 1012858 005 2019-10-23 008 1998 bl uuuu u00u1 u #d 024 7 $a10.21273/HORTSCI.33.4.652$2DOI 100 1 $aSANDERS, D.C. 245 $aLong-term effects of rows per bed and in-row spacing on yield and spear size of asparagus 260 $c1998 500 $aArticle history: Received for publication 4 June 1997 / Accepted for publication 28 Oct. 1997 / Print Publication Date: 01 Jul 1998 / Online Publication Date: Jul 1998 520 $aABSTRACT. Three studies were conducted at Clinton, N.C., to investigate the relationship between number of rows per bed, in-row spacing, and spear yield of asparagus (Asparagus officinalis L. ) over 11to 13years. In the first study, increasing plant densities from 21,550 to 43,100 plants/ha by doubling the number of rows/bed increased the cumulative yield from 64% to 80% for three hybrid lines ('UC 157', 'WSU 1', and 'WSU 2') but only 6% for 'Rutgers Beacon '.The effects of doubling the plant density were still apparent 13years later. In the second study, yields of 'Princeville' ('Mary Washington' selection) crowns, grown at densities from 14,000 to 86,000 plants/ha, were also increased for 8 years by doubling rows at various in-row spacings. In a third study, in which densities ranged from 21,000 to 387,900 plants/ha, the magnitude of the response to rows/bed was dependent on in-row spacing. Efficient use of bed space and the avoidance of crowding exerted a larger influence on productivity than did average planting density. The yield response to rows/ bed was greater and more persistent through the years for wider in-row spacings. Spear size was only marginally responsive to rows per bed and in-row spacing. 650 $aASPARAGUS OFFICINALIS 650 $aESPARRAGO 700 1 $aCURE, J.D. 700 1 $aSPERRY, W.J. 700 1 $aGILSANZ, J.C. 700 1 $aPRINCE, C.A. 700 1 $aBANDELE, O. 773 $tHortScience, 1998, 33 (4): 652-654
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