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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 : |
29/10/2019 |
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Actualizado : |
07/07/2020 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
RIVAS, M.; CONDON, F. |
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Afiliación : |
MERCEDES RIVAS, Department of Plant Biology, Faculty of Agronomy, Eastern Regional University Center University of the Republic, Rocha, Uruguay..; FEDERICO CONDON PRIANO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Plant domestication and utilization: The case of the pampa biome. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
In: Al-Khayri J., Jain S., Johnson D. (eds). Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools, 1 January 2016, Volume 1, pp. 3-24. |
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ISBN : |
978-3-319-22521-0 |
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DOI : |
10.1007/978-3-319-22521-0_1 |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
The domestication of plants, as a bio-cultural process, is a continuous phenomenon intrinsically associated with the use of plants. Traditional and scientific knowledge constitute the basis of the various uses of plants from in situ harvesting to complete domestication of crops. One of the most important challenges of our time is to achieve the conservation and sustainable use of plant genetic resources of landraces, species in the process of domestication and species used in situ. The in situ conservation of agricultural biodiversity is a basic element for the development of more sustainable agroecosystems, the adaptation to climate change, the conservation of ecosystem services and to ensure local food security?a conception that is strongly linked to the local development and the protection of cultural and biological diversity. Through case studies from the Pampa Biome we will discuss the valorization of plant genetic resources through new domestication, the promotion of the use of scientifically developed best management practices for in situ conservation, the widening of the germplasm base for breeding programs, plant breeding for stress tolerance, the development of participatory plant breeding programs and the development of high quality products. |
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Palabras claves : |
CONSERVATION; DOMESTICACIÓN DE PLANTAS; IN SITU UTILIZATION; INCIPIENT DOMESTICATION; LANDRACES; PAMPA BIOME; PLANT GENETIC RESOURCES; SEMIDOMESTICATION. |
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Thesagro : |
RECURSOS FITOGENETICOS. |
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Asunto categoría : |
F40 Ecología vegetal |
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Marc : |
LEADER 02181naa a2200265 a 4500
001 1060361
005 2020-07-07
008 2016 bl uuuu u00u1 u #d
020 $a978-3-319-22521-0
024 7 $a10.1007/978-3-319-22521-0_1$2DOI
100 1 $aRIVAS, M.
245 $aPlant domestication and utilization$bThe case of the pampa biome.$h[electronic resource]
260 $c2016
520 $aAbstract: The domestication of plants, as a bio-cultural process, is a continuous phenomenon intrinsically associated with the use of plants. Traditional and scientific knowledge constitute the basis of the various uses of plants from in situ harvesting to complete domestication of crops. One of the most important challenges of our time is to achieve the conservation and sustainable use of plant genetic resources of landraces, species in the process of domestication and species used in situ. The in situ conservation of agricultural biodiversity is a basic element for the development of more sustainable agroecosystems, the adaptation to climate change, the conservation of ecosystem services and to ensure local food security?a conception that is strongly linked to the local development and the protection of cultural and biological diversity. Through case studies from the Pampa Biome we will discuss the valorization of plant genetic resources through new domestication, the promotion of the use of scientifically developed best management practices for in situ conservation, the widening of the germplasm base for breeding programs, plant breeding for stress tolerance, the development of participatory plant breeding programs and the development of high quality products.
650 $aRECURSOS FITOGENETICOS
653 $aCONSERVATION
653 $aDOMESTICACIÓN DE PLANTAS
653 $aIN SITU UTILIZATION
653 $aINCIPIENT DOMESTICATION
653 $aLANDRACES
653 $aPAMPA BIOME
653 $aPLANT GENETIC RESOURCES
653 $aSEMIDOMESTICATION
700 1 $aCONDON, F.
773 $tIn: Al-Khayri J., Jain S., Johnson D. (eds). Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools, 1 January 2016, Volume 1, pp. 3-24.
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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. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
11/09/2014 |
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Actualizado : |
30/10/2019 |
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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 : |
LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2012-5826 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged. |
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Contenido : |
ABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals. MenosABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals an... Presentar Todo |
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Thesagro : |
GANADERÍA; GANADO DE CARNE; MEJORAMIENTO GENÉTICO ANIMAL; MODELOS DE SIMULACIÓN; SELECCIÓN GENÓMICA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03895naa a2200277 a 4500
001 1050147
005 2019-10-30
008 2013 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2012-5826$2DOI
100 1 $aLOURENCO, D.A.L.
245 $aPrediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models.$h[electronic resource]
260 $c2013
500 $aArticle history: Published online July 26, 2013. This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged.
520 $aABSTRACT. Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals.
650 $aGANADERÍA
650 $aGANADO DE CARNE
650 $aMEJORAMIENTO GENÉTICO ANIMAL
650 $aMODELOS DE SIMULACIÓN
650 $aSELECCIÓN GENÓMICA
700 1 $aMISZTAL, I.
700 1 $aWANG, H.
700 1 $aAGUILAR, I.
700 1 $aTSURUTA, S.
700 1 $aBERTRAND, J.K.
773 $tJournal of Animal Science, 2013$gv.91, no.9, p.4090-4098.
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