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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
12/04/2021 |
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Actualizado : |
28/04/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CARVALHO, P. C. DE FACCIO; SAVIAN, J.V.; DELLA CHIESA, T.; DE SOUZA FILHO, W.; TERRA, J.A.; PINTO, P.; POSSELT MARTINS, A.; VILLARINO, S.S; DA TRUBDADE, J. K.; ALBUQUERQUE NUNEZ, P. A.; PIÑEIRO, G. |
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Afiliación : |
Federal University of Rio Grande Do Sul. Integrated Crop-Livestock Systems Research Group. Brazil.; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; TOMAS DELLA CHIESA, Universidad de Buenos Aires. Facultad de Agronomía, Argentina.; WILLIAM DE SOUZA FILHO, Federal University of Rio Grande Do Sul. Integrated Crop-Livestock Systems Research Group. Brazil.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PRISCILA PINTO, Universidad de Buenos Aires. Facultad de Agronomía, Argentina.; AMANDA POSSELT MARTINS, Federal University of Rio Grande Do Sul. Integrated Crop-Livestock Systems Research Group. Brazil.; SEBASTIÁN VILLARINO, Universidad Nacional de Mar del Plata. Estación Experimental Agropecuaria Balcarce. Unidad Integrada Balcarce. Argentina; JÚLIO KUHN DA TRINDADE, Department of Agricultural Research and Diagnosis, Secretariat of Agriculture, Livestock and Rural Development of Rio Grande do Sul.; PEDRO ARTHUR DE ALBUQUERQUE NUNES, Federal University of Rio Grande Do Sul. Integrated Crop-Livestock Systems Research Group. Brazil.; GERVASIO PIÑEIRO, Universidad de Buenos Aires. Facultad de Agronomía, Argentina. |
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Título : |
Land-use intensification trends in the Rio de la Plata region of South America: toward specialization or recoupling crop and livestock production. Review. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Frontiers of Agricultural Science and Engineering, 2021, 14 p. DOI: 10.15302/j-fase-2020380 |
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DOI : |
10.15302/j-fase-2020380 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 November 2020. Accepted 13 January 2021. |
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Contenido : |
The Rio de la Plata region comprises central Argentina, Uruguay, and southern Brazil. Modern agriculture developed around 1900 with recent decades being characterized by the advance of cropping areas over native grasslands. Highly specialized agriculture has decoupled crop and livestock production but has succeeded in intensifying yields. However, significant losses of ecosystem services have been reported. Thus, questions have been raised on the sustainability of this pathway. A glance at world regions that have experienced similar trends suggests that an urgent course correction is needed. A major concern has been the lack of diversity in regions with highly specialized agriculture, promoting renewed interest in integrated crop-livestock systems (ICLS), not only because ICLS are more diverse than specialized systems, but also because they are rare examples of reconciliation between agroecosystem
intensification and environmental quality. Consequently, this paper discusses alternatives to redesign multifunctional landscapes based on ICLS. Recent data provide evidence that recoupling crop and animal production increases the resilience of nutrient cycling functions and economic indicators to external stressors, enabling these systems to face climate-market uncertainty and reconcile food production with the provision of diverse ecosystem services. Finally, these concepts are exemplified in case studies where this perspective has
been successfully applied. |
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Palabras claves : |
GRAZING; INTEGRATED CROP-LIVESTOCK SYSTEMS; MIXED CROP-LIVESTOCK SYSTEMS; PAMPA BIOME. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15498/1/Front-Agr-Sci-Eng.2021.pdf
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Marc : |
LEADER 02582naa a2200313 a 4500
001 1061975
005 2021-04-28
008 2021 bl uuuu u00u1 u #d
024 7 $a10.15302/j-fase-2020380$2DOI
100 1 $aCARVALHO, P. C. DE FACCIO
245 $aLand-use intensification trends in the Rio de la Plata region of South America$btoward specialization or recoupling crop and livestock production. Review.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 12 November 2020. Accepted 13 January 2021.
520 $aThe Rio de la Plata region comprises central Argentina, Uruguay, and southern Brazil. Modern agriculture developed around 1900 with recent decades being characterized by the advance of cropping areas over native grasslands. Highly specialized agriculture has decoupled crop and livestock production but has succeeded in intensifying yields. However, significant losses of ecosystem services have been reported. Thus, questions have been raised on the sustainability of this pathway. A glance at world regions that have experienced similar trends suggests that an urgent course correction is needed. A major concern has been the lack of diversity in regions with highly specialized agriculture, promoting renewed interest in integrated crop-livestock systems (ICLS), not only because ICLS are more diverse than specialized systems, but also because they are rare examples of reconciliation between agroecosystem intensification and environmental quality. Consequently, this paper discusses alternatives to redesign multifunctional landscapes based on ICLS. Recent data provide evidence that recoupling crop and animal production increases the resilience of nutrient cycling functions and economic indicators to external stressors, enabling these systems to face climate-market uncertainty and reconcile food production with the provision of diverse ecosystem services. Finally, these concepts are exemplified in case studies where this perspective has been successfully applied.
653 $aGRAZING
653 $aINTEGRATED CROP-LIVESTOCK SYSTEMS
653 $aMIXED CROP-LIVESTOCK SYSTEMS
653 $aPAMPA BIOME
700 1 $aSAVIAN, J.V.
700 1 $aDELLA CHIESA, T.
700 1 $aDE SOUZA FILHO, W.
700 1 $aTERRA, J.A.
700 1 $aPINTO, P.
700 1 $aPOSSELT MARTINS, A.
700 1 $aVILLARINO, S.S
700 1 $aDA TRUBDADE, J. K.
700 1 $aALBUQUERQUE NUNEZ, P. A.
700 1 $aPIÑEIRO, G.
773 $tFrontiers of Agricultural Science and Engineering, 2021, 14 p. DOI: 10.15302/j-fase-2020380
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Registro original : |
INIA Treinta y Tres (TT) |
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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 : |
04/03/2020 |
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Actualizado : |
29/05/2020 |
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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 : |
LEGARRA, A.; AGUILAR, I.; COLLEAU, J.J. |
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Afiliación : |
A. LEGARRA, UMR GenPhySE, INRA, France; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. J. COLLEAU, UMR GABI, INRA, AgroParisTech, Université Paris-Saclay, France. |
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Título : |
Short communication: Methods to compute genomic inbreeding for ungenotyped individuals. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750 |
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ISSN : |
0022-0302 |
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DOI : |
10.3168/jds.2019-17750 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received October 15, 2019. / Accepted December 18, 2019.
Corresponding author: A. Legarra - email: andres.legarra@inra.fr
This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project GDivSelGen) and FEDER (Poctefa funds, project ARDI). This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 772787-SMARTER. |
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Contenido : |
ABSTRACT.
The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were much shorter for the third method, as expected. Using these methods, estimates of genomic inbreeding in ungenotyped animals can be obtained on a regular basis.
© 2020 American Dairy Science Association MenosABSTRACT.
The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were... Presentar Todo |
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Palabras claves : |
Genetic variability; Genomic selection; Inbreeding; Single step. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02859naa a2200229 a 4500
001 1060890
005 2020-05-29
008 2020 bl uuuu u00u1 u #d
022 $a0022-0302
024 7 $a10.3168/jds.2019-17750$2DOI
100 1 $aLEGARRA, A.
245 $aShort communication$bMethods to compute genomic inbreeding for ungenotyped individuals.$h[electronic resource]
260 $c2020
500 $aArticle history: Received October 15, 2019. / Accepted December 18, 2019. Corresponding author: A. Legarra - email: andres.legarra@inra.fr This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project GDivSelGen) and FEDER (Poctefa funds, project ARDI). This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 772787-SMARTER.
520 $aABSTRACT. The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were much shorter for the third method, as expected. Using these methods, estimates of genomic inbreeding in ungenotyped animals can be obtained on a regular basis. © 2020 American Dairy Science Association
653 $aGenetic variability
653 $aGenomic selection
653 $aInbreeding
653 $aSingle step
700 1 $aAGUILAR, I.
700 1 $aCOLLEAU, J.J.
773 $tJournal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750
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