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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
01/10/2014 |
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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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Autor : |
QUEZADA, M.; PASTINA, M.M.; RAVEST, G.; SILVA, P.; VIGNALE, B.; CABRERA, D.; HINRICHSEN, P.; GARCÍA, A.A.F.; PRITSCH, C. |
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Afiliación : |
CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
A first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Scientia Horticulturae, 2014, v.169, no.2, p. 138-146. |
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ISSN : |
0304-4238 |
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DOI : |
10.1016/j.scienta.2014.02.009 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014. |
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Contenido : |
ABSTRACT.
A first integrated linkage map of Acca sellowiana (Berg.) Burret (2. n= 2. x= 22), commonly known as 'pineapple guava' was constructed using a 160 (TCO. ×. BR) full-sib F1 progeny based on intersimple sequence repeat (ISSR), amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. To develop an integrated map, we used a novel statistical approach that provided a simultaneous estimation of linkage and linkage phases based on maximum-likelihood analysis. The integrated map comprised 219 (27 ISSRs and 192 AFLPs) linked markers that were assigned to 10 major linkage groups (LG) representing a total map length of 2875. cM and average distance between markers of 13.8. cM. TCO (14 LG, 83 markers, 1264.6. cM) and BR (18 LG, 94 markers, 1295.1. cM) parent maps were also constructed through the same statistical approach but using only appropriate pseudo-testcross configuration markers. All the LG of the integrated map shared markers with either TCO or, BR or both parental maps. The integrated map provides a framework for further genetic and genomic analyses in A. sellowiana.
© 2014 Elsevier B.V. |
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Palabras claves : |
Feijoa sellowiana; Linkage map; Multipoint estimates; Orphan species; Two-way pseudo-testcross. |
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Thesagro : |
ACCA SELLOWIANA; FITOMEJORAMIENTO; GUAYABO DEL PAÍS; MAPAS GENÉTICOS. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02290naa a2200361 a 4500
001 1050792
005 2019-10-09
008 2014 bl uuuu u00u1 u #d
022 $a0304-4238
024 7 $a10.1016/j.scienta.2014.02.009$2DOI
100 1 $aQUEZADA, M.
245 $aA first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers.$h[electronic resource]
260 $c2014
500 $aArticle history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014.
520 $aABSTRACT. A first integrated linkage map of Acca sellowiana (Berg.) Burret (2. n= 2. x= 22), commonly known as 'pineapple guava' was constructed using a 160 (TCO. ×. BR) full-sib F1 progeny based on intersimple sequence repeat (ISSR), amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. To develop an integrated map, we used a novel statistical approach that provided a simultaneous estimation of linkage and linkage phases based on maximum-likelihood analysis. The integrated map comprised 219 (27 ISSRs and 192 AFLPs) linked markers that were assigned to 10 major linkage groups (LG) representing a total map length of 2875. cM and average distance between markers of 13.8. cM. TCO (14 LG, 83 markers, 1264.6. cM) and BR (18 LG, 94 markers, 1295.1. cM) parent maps were also constructed through the same statistical approach but using only appropriate pseudo-testcross configuration markers. All the LG of the integrated map shared markers with either TCO or, BR or both parental maps. The integrated map provides a framework for further genetic and genomic analyses in A. sellowiana. © 2014 Elsevier B.V.
650 $aACCA SELLOWIANA
650 $aFITOMEJORAMIENTO
650 $aGUAYABO DEL PAÍS
650 $aMAPAS GENÉTICOS
653 $aFeijoa sellowiana
653 $aLinkage map
653 $aMultipoint estimates
653 $aOrphan species
653 $aTwo-way pseudo-testcross
700 1 $aPASTINA, M.M.
700 1 $aRAVEST, G.
700 1 $aSILVA, P.
700 1 $aVIGNALE, B.
700 1 $aCABRERA, D.
700 1 $aHINRICHSEN, P.
700 1 $aGARCÍA, A.A.F.
700 1 $aPRITSCH, C.
773 $tScientia Horticulturae, 2014$gv.169, no.2, p. 138-146.
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Registro original : |
INIA Las Brujas (LB) |
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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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