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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
26/07/2021 |
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Actualizado : |
26/07/2021 |
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Tipo de producción científica : |
Presentaciones Orales |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); PROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA |
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Afiliación : |
PROGRAMA NACIONAL DE INVESTIGACIÓN PRODUCCIÓN FRUTÍCOLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Presentación de primeras selecciones registradas de guayabo. |
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Complemento del título : |
Jornada de divulgación, 6 de abril 2018, INIA Las Brujas, Canelones (UY): |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Canelones (Uruguay): INIA, 2018. |
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Idioma : |
Español |
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Notas : |
FAGRO, MGAP e INIA organizaron la jornada de presentación de las primeras selecciones registradas en Uruguay de Guayabo del País. La actividad tuvo lugar el viernes 6 de abril, en INIA Las Brujas. |
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Contenido : |
PRESENTACIONES.
Breve historia del proceso de selección del Guayabo del País (Beatriz Vignale) -- Avances en la caracterización genética del Guayabo del País: desarrollo de herramientas genéticas (Marianella Quezada) -- Guayabo del País: primeras selecciones registradas en Uruguay, Guayabo ILB 154 (Danilo Cabrera) -- La F3 P17 Marenco, Camino Las Piedritas, Suárez, Canelones (Domingo Luizzi) -- Ideas de trabajo a futuro. |
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Thesagro : |
FRUTICULTURA; FRUTOS NATIVOS; GUAYABO DEL PAÍS. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.inia.uy/estaciones-experimentales/direcciones-regionales/inia-las-brujas/presentaci%C3%B3n-de-primeras-selecciones-registradas-de-guayabo
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Marc : |
LEADER 01160nam a2200169 a 4500
001 1062324
005 2021-07-26
008 2018 bl uuuu u00u1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aPresentación de primeras selecciones registradas de guayabo.$h[electronic resource]
260 $aCanelones (Uruguay): INIA$c2018
500 $aFAGRO, MGAP e INIA organizaron la jornada de presentación de las primeras selecciones registradas en Uruguay de Guayabo del País. La actividad tuvo lugar el viernes 6 de abril, en INIA Las Brujas.
520 $aPRESENTACIONES. Breve historia del proceso de selección del Guayabo del País (Beatriz Vignale) -- Avances en la caracterización genética del Guayabo del País: desarrollo de herramientas genéticas (Marianella Quezada) -- Guayabo del País: primeras selecciones registradas en Uruguay, Guayabo ILB 154 (Danilo Cabrera) -- La F3 P17 Marenco, Camino Las Piedritas, Suárez, Canelones (Domingo Luizzi) -- Ideas de trabajo a futuro.
650 $aFRUTICULTURA
650 $aFRUTOS NATIVOS
650 $aGUAYABO DEL PAÍS
700 1 $aPROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/11/2015 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
LOURENCO, D.A.L.; FRAGOMENI, B.O.; TSURUTA, S.; AGUILAR, I.; ZUMBACH, B.; HAWKEN, R.J.; LEGARRA, A.; MISZTAL, I. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Accuracy of estimated breeding values with genomic information on males, females, or both: An example on broiler chicken. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Genetics Selection Evolution, 2015, v. 242, p. 47-56. OPEN ACCESS. |
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DOI : |
10.1186/s12711-015-0137-1 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 14 October 2014 / Accepted: 22 June 2015 / Published: 02 July 2015. |
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Contenido : |
ABSTRACT.
Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy,
whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than
in dairy cattle.
Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were
used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens.
Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20
points for females. For two traits with similar heritabilities and amounts of information, realized accuracies from cross-validation were lower for the trait that was under strong selection.
Conclusions: Overall, genotyping males and females improves predictions of all young genotyped chickens, regardless of sex. Therefore, when males and females both contribute to genetic progress of the population, genotyping both sexes may be the best option.
© 2015 Lourenco et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. MenosABSTRACT.
Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy,
whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than
in dairy cattle.
Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were
used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens.
Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20
points for fe... Presentar Todo |
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Thesagro : |
POLLO DE ENGORDE. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5172/1/Aguilar-I.-2015.-GSE-p.47-56.pdf
https://gsejournal.biomedcentral.com/track/pdf/10.1186/s12711-015-0137-1
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Marc : |
LEADER 03232nam a2200229 a 4500
001 1053861
005 2019-10-09
008 2015 bl uuuu u0uu1 u #d
024 7 $a10.1186/s12711-015-0137-1$2DOI
100 1 $aLOURENCO, D.A.L.
245 $aAccuracy of estimated breeding values with genomic information on males, females, or both$bAn example on broiler chicken.$h[electronic resource]
260 $aGenetics Selection Evolution, 2015, v. 242, p. 47-56. OPEN ACCESS.$c2015
500 $aArticle history: Received: 14 October 2014 / Accepted: 22 June 2015 / Published: 02 July 2015.
520 $aABSTRACT. Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy, whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than in dairy cattle. Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens. Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20 points for females. For two traits with similar heritabilities and amounts of information, realized accuracies from cross-validation were lower for the trait that was under strong selection. Conclusions: Overall, genotyping males and females improves predictions of all young genotyped chickens, regardless of sex. Therefore, when males and females both contribute to genetic progress of the population, genotyping both sexes may be the best option. © 2015 Lourenco et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
650 $aPOLLO DE ENGORDE
700 1 $aFRAGOMENI, B.O.
700 1 $aTSURUTA, S.
700 1 $aAGUILAR, I.
700 1 $aZUMBACH, B.
700 1 $aHAWKEN, R.J.
700 1 $aLEGARRA, A.
700 1 $aMISZTAL, I.
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