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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 : |
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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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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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
01/08/2019 |
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Actualizado : |
28/10/2019 |
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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 : |
FARIÑA, S.; CHILBROSTE, P. |
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Afiliación : |
SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); PABLO CHILIBROSTE, Universidad de la República, Ruta 3 km 363, Paysandú, Uruguay. |
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Título : |
Opportunities and challenges for the growth of milk production from pasture: The case of farm systems in Uruguay. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agricultural Systems, Volume 176, November 2019, Article 102631. |
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DOI : |
10.1016/j.agsy.2019.05.001 |
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Idioma : |
Inglés |
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Notas : |
Article History: Received 10 December 2018// Received in revised form 1 April 2019// Accepted 2 May 2019. |
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Contenido : |
ABSTRACT:
Volatility ofmarketsandclimatearedrivingexportingdairyindustries toincreasemilkproduction frompasture. However, some regions are not able to grow due to economic, social and environmental constraints. The objective of this study was to analyse at the farm system level the opportunities and challenges for the growth of pasture-based dairy production in Uruguay. A national database of 256 dairy farms was used to compare four groups of Uruguayan farmsselectedaccording to thetotal milkproduction growth ratefrom2013 to 2017.Their productivity (milk production per hectare) and pro?t was compared by ?tting mixed models. Complementarily, the International Farm Comparison Network database was used to compare biophysical and economic indicators of typical farm systems of Argentina, Australia, Ireland, Holland, New Zealand, United States and Uruguay from 2013 to 2017. The growing groups of farms (medium and high growth;>5% per year) showed more productivity due to their higher stocking rate and achieved a higher margin over feed cost and a lower feeding cost per L of milk than the shrinking groups (medium and high decrease;<0% per year). The growing systems showed a higher consumption per hectare of home-grown forage (pasture and conserved forage) and supplements. Margin over feed cost decreased alongside milk price over the time frame analysed, with no signi?cant interaction between group and year. Productivity in New Zealand, Australia, United States and Holland was above 10,000L/ha whereas in Ireland, Argentina and Uruguay it was below 7000L/ha. Consumption of homegrown forage per hectare in the former countries more than doubled the latter, which consumed approximately half the potential forage production locally reported. Home-grown forage consumption per hectare was a more likely driver of productivity than bought-in feed or feed conversion e?ciency. Uruguay achieved the lowest cost of production however current low stocking rates (0.7 cows/ha for the typical farm system) limit home-grown forage consumption and productivity growth. Inter-annual variation in economic performance was larger than the variation inbiophysical performance for all countries. Thisstudy showed thatpasture-based farming systems in Uruguay could make a leap in milk production without losing competitiveness by doubling their home-grown forage consumption through increased stocking rates. For such growth, some future challenges will remain around managing P accumulation and runo? in intensifying farms as well as improving farm design and infrastructure to attract labour, improve its productivity and assure animal welfare. MenosABSTRACT:
Volatility ofmarketsandclimatearedrivingexportingdairyindustries toincreasemilkproduction frompasture. However, some regions are not able to grow due to economic, social and environmental constraints. The objective of this study was to analyse at the farm system level the opportunities and challenges for the growth of pasture-based dairy production in Uruguay. A national database of 256 dairy farms was used to compare four groups of Uruguayan farmsselectedaccording to thetotal milkproduction growth ratefrom2013 to 2017.Their productivity (milk production per hectare) and pro?t was compared by ?tting mixed models. Complementarily, the International Farm Comparison Network database was used to compare biophysical and economic indicators of typical farm systems of Argentina, Australia, Ireland, Holland, New Zealand, United States and Uruguay from 2013 to 2017. The growing groups of farms (medium and high growth;>5% per year) showed more productivity due to their higher stocking rate and achieved a higher margin over feed cost and a lower feeding cost per L of milk than the shrinking groups (medium and high decrease;<0% per year). The growing systems showed a higher consumption per hectare of home-grown forage (pasture and conserved forage) and supplements. Margin over feed cost decreased alongside milk price over the time frame analysed, with no signi?cant interaction between group and year. Productivity in New Zealand, Australia, United States and Holland was above 1... Presentar Todo |
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Palabras claves : |
CONSUMO DE FORRAJE; DAIRY FARM SYSEMS; FORAGE CONSUMPTION; HOME-GROWN FORAGE; INTENSIFICACIÓN SOSTENIBLE; PASTURE-BASED; PROFIT; SISTEMAS DE GRANJAS LECHERAS; SUSTAINABLE INTENSIFICATION. |
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Thesagro : |
PRODUCCION LECHERA; SISTEMAS AGRICOLAS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03661naa a2200289 a 4500
001 1059962
005 2019-10-28
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agsy.2019.05.001$2DOI
100 1 $aFARIÑA, S.
245 $aOpportunities and challenges for the growth of milk production from pasture$bThe case of farm systems in Uruguay.$h[electronic resource]
260 $c2019
500 $aArticle History: Received 10 December 2018// Received in revised form 1 April 2019// Accepted 2 May 2019.
520 $aABSTRACT: Volatility ofmarketsandclimatearedrivingexportingdairyindustries toincreasemilkproduction frompasture. However, some regions are not able to grow due to economic, social and environmental constraints. The objective of this study was to analyse at the farm system level the opportunities and challenges for the growth of pasture-based dairy production in Uruguay. A national database of 256 dairy farms was used to compare four groups of Uruguayan farmsselectedaccording to thetotal milkproduction growth ratefrom2013 to 2017.Their productivity (milk production per hectare) and pro?t was compared by ?tting mixed models. Complementarily, the International Farm Comparison Network database was used to compare biophysical and economic indicators of typical farm systems of Argentina, Australia, Ireland, Holland, New Zealand, United States and Uruguay from 2013 to 2017. The growing groups of farms (medium and high growth;>5% per year) showed more productivity due to their higher stocking rate and achieved a higher margin over feed cost and a lower feeding cost per L of milk than the shrinking groups (medium and high decrease;<0% per year). The growing systems showed a higher consumption per hectare of home-grown forage (pasture and conserved forage) and supplements. Margin over feed cost decreased alongside milk price over the time frame analysed, with no signi?cant interaction between group and year. Productivity in New Zealand, Australia, United States and Holland was above 10,000L/ha whereas in Ireland, Argentina and Uruguay it was below 7000L/ha. Consumption of homegrown forage per hectare in the former countries more than doubled the latter, which consumed approximately half the potential forage production locally reported. Home-grown forage consumption per hectare was a more likely driver of productivity than bought-in feed or feed conversion e?ciency. Uruguay achieved the lowest cost of production however current low stocking rates (0.7 cows/ha for the typical farm system) limit home-grown forage consumption and productivity growth. Inter-annual variation in economic performance was larger than the variation inbiophysical performance for all countries. Thisstudy showed thatpasture-based farming systems in Uruguay could make a leap in milk production without losing competitiveness by doubling their home-grown forage consumption through increased stocking rates. For such growth, some future challenges will remain around managing P accumulation and runo? in intensifying farms as well as improving farm design and infrastructure to attract labour, improve its productivity and assure animal welfare.
650 $aPRODUCCION LECHERA
650 $aSISTEMAS AGRICOLAS
653 $aCONSUMO DE FORRAJE
653 $aDAIRY FARM SYSEMS
653 $aFORAGE CONSUMPTION
653 $aHOME-GROWN FORAGE
653 $aINTENSIFICACIÓN SOSTENIBLE
653 $aPASTURE-BASED
653 $aPROFIT
653 $aSISTEMAS DE GRANJAS LECHERAS
653 $aSUSTAINABLE INTENSIFICATION
700 1 $aCHILBROSTE, P.
773 $tAgricultural Systems, Volume 176, November 2019, Article 102631.
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