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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
11/09/2014 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MISZTAL, I.; VITEZICA, Z.G.; LEGARRA, A.; AGUILAR, I.; SWAN, A.A. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Unknown-parent groups in single-step genomic evaluation. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2013, v.130, no.4, p.252-258. |
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ISSN : |
0931-2668 |
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DOI : |
http://dx.doi.org/10.1111/jbg.12025 |
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Idioma : |
Inglés |
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Contenido : |
SUMMARY:.
In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model.
© 2013 Blackwell Verlag GmbH. |
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Palabras claves : |
BLUP (BEST LINEAR UNBIASED PREDICTION). |
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Thesagro : |
EVALUACIÓN GENÉTICA; GENÉTICA ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02024naa a2200229 a 4500
001 1050148
005 2021-06-24
008 2013 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $ahttp://dx.doi.org/10.1111/jbg.12025$2DOI
100 1 $aMISZTAL, I.
245 $aUnknown-parent groups in single-step genomic evaluation.$h[electronic resource]
260 $c2013
520 $aSUMMARY:. In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model. © 2013 Blackwell Verlag GmbH.
650 $aEVALUACIÓN GENÉTICA
650 $aGENÉTICA ANIMAL
653 $aBLUP (BEST LINEAR UNBIASED PREDICTION)
700 1 $aVITEZICA, Z.G.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aSWAN, A.A.
773 $tJournal of Animal Breeding and Genetics, 2013$gv.130, no.4, p.252-258.
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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
08/06/2022 |
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Actualizado : |
01/12/2022 |
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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 : |
LARZABAL, J.; RODRIGUEZ, M.; YAMANAKA, N.; STEWART, S. |
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Afiliación : |
JHON LARZABAL PÉREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Magíster en Ciencias Agrarias, Facultad de Agronomía, Universidad de La República, Montevideo, Uruguay.; MARCELO JULIAN RODRIGUEZ ALONZO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NAOKI YAMANAKA, Biological Resources and Post-harvest Division, Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki, 305-8686, Japan.; SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Pathogenic variability of Asian soybean rust fungus within fields in Uruguay. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Tropical Plant Pathology, 2022, Volume 47, Issue 4, Pages 574-582. doi: https://doi.org/10.1007/s40858-022-00511-2 |
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DOI : |
10.1007/s40858-022-00511-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 January 2022/ Accepted 04 May 2022/ Published 26 May 2022.This study was partly financially supported by the National Institute for Agricultural Research (INIA) and partly by the Japan International Research Center for Agricultural Sciences (JIRCAS) research project ?Development of resilient crops and production technologies. |
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Contenido : |
Abstract:
Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields than among fields; thus, soybean cultivars can be exposed to up to 13 different pathotypes within a single field. This high diversity should be considered when breeding for resistance to this pathogen; thus, pyramiding mayor genes and introducing horizontal resistance should be considered. © 2022, The Author(s), under exclusive license to Sociedade Brasileira de Fitopatologia. MenosAbstract:
Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields tha... Presentar Todo |
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Palabras claves : |
Pathotype; PHAKOPSORA PACHYRHIZI; Urediniospore. |
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Thesagro : |
ENFERMEDADES DE LAS PLANTAS; SOJA. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 02980naa a2200241 a 4500
001 1063250
005 2022-12-01
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1007/s40858-022-00511-2$2DOI
100 1 $aLARZABAL, J.
245 $aPathogenic variability of Asian soybean rust fungus within fields in Uruguay.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 20 January 2022/ Accepted 04 May 2022/ Published 26 May 2022.This study was partly financially supported by the National Institute for Agricultural Research (INIA) and partly by the Japan International Research Center for Agricultural Sciences (JIRCAS) research project ?Development of resilient crops and production technologies.
520 $aAbstract: Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields than among fields; thus, soybean cultivars can be exposed to up to 13 different pathotypes within a single field. This high diversity should be considered when breeding for resistance to this pathogen; thus, pyramiding mayor genes and introducing horizontal resistance should be considered. © 2022, The Author(s), under exclusive license to Sociedade Brasileira de Fitopatologia.
650 $aENFERMEDADES DE LAS PLANTAS
650 $aSOJA
653 $aPathotype
653 $aPHAKOPSORA PACHYRHIZI
653 $aUrediniospore
700 1 $aRODRIGUEZ, M.
700 1 $aYAMANAKA, N.
700 1 $aSTEWART, S.
773 $tTropical Plant Pathology, 2022, Volume 47, Issue 4, Pages 574-582. doi: https://doi.org/10.1007/s40858-022-00511-2
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