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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
08/06/2022 |
Actualizado : |
01/12/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LARZABAL, J.; RODRIGUEZ, M.; YAMANAKA, N.; STEWART, S. |
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. |
Título : |
Pathogenic variability of Asian soybean rust fungus within fields in Uruguay. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Tropical Plant Pathology, 2022, Volume 47, Issue 4, Pages 574-582. doi: https://doi.org/10.1007/s40858-022-00511-2 |
DOI : |
10.1007/s40858-022-00511-2 |
Idioma : |
Inglés |
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. |
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 |
Palabras claves : |
Pathotype; PHAKOPSORA PACHYRHIZI; Urediniospore. |
Thesagro : |
ENFERMEDADES DE LAS PLANTAS; SOJA. |
Asunto categoría : |
H20 Enfermedades de las plantas |
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 Las Brujas. |
Fecha actual : |
17/08/2023 |
Actualizado : |
17/08/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
CAZZULI, F.; DURANTE, M.; HIRIGOYEN, A.; SÁNCHEZ, J.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; LATTANZI, F.; BREMM, C. |
Afiliación : |
FIORELLA CARLA CAZZULI ALBA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTÍN DURANTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Concepción del Uruguay, Concepción del Uruguay 3260, Argentina; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAVIER SÁNCHEZ, Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PE C1A 4P3, Canada; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIRGINIA BERETTA, Animal Science Department, Universidad de la República, Ruta 3 km 363, Paysandú 60000, Uruguay; ÁLVARO SIMEONE, Animal Science Department, Universidad de la República, Ruta 3 km 363, Paysandú 60000, Uruguay; MARTIN ALEJANDRO JAURENA BARRIOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DENNIS POPPI, School of Agriculture and Food Sciences, The University of Queensland, Gatton, QLD 4343, Australia; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; XIMENA MARIA LAGOMARSINO LARRIERA, Facultad de Ciencias Agrarias, Universidad de la Empresa, Luis Alberto de Herrera 2890, Montevideo 11300, Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA BREMM, Grazing Ecology Research Group, Federal University of Rio Grande do Sul, Porto Alegre 91540-000, Brazil. |
Título : |
Beef cattle grazing native grasslands may follow three different supplement response patterns. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Grasses. 2023, Volume 2, Issue 3, pages 168-184. https://doi.org/10.3390/grasses2030014 --- OPEN ACCESS. |
ISSN : |
2813-3463 (electronic). |
DOI : |
10.3390/grasses2030014 |
Idioma : |
Inglés |
Notas : |
Article history: Received 3 May 2023; Revised 1 July 2023; Accepted 13 July 2023; Published 7 August 2023. -- Academic Editor: Fabio Gresta. -- FUNDING: This research was funded by INIA Uruguay. -- LICENSE: This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). -- |
Contenido : |
ABSTRACT.- Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)-that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3-1.1 kg/kg; hSbR = 0.1-0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals? body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals' ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. MenosABSTRACT.- Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)-that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3-1.1 kg/kg; hSbR = 0.1-0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic proces... Presentar Todo |
Palabras claves : |
Concentrate supplementation; Substitution rate; Supplement feed efficiency; Supplementation response pattern. |
Asunto categoría : |
L02 Alimentación animal |
URL : |
https://www.mdpi.com/2813-3463/2/3/14/pdf
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Marc : |
LEADER 03938naa a2200397 a 4500 001 1064290 005 2023-08-17 008 2023 bl uuuu u00u1 u #d 022 $a2813-3463 (electronic). 024 7 $a10.3390/grasses2030014$2DOI 100 1 $aCAZZULI, F. 245 $aBeef cattle grazing native grasslands may follow three different supplement response patterns.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 3 May 2023; Revised 1 July 2023; Accepted 13 July 2023; Published 7 August 2023. -- Academic Editor: Fabio Gresta. -- FUNDING: This research was funded by INIA Uruguay. -- LICENSE: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). -- 520 $aABSTRACT.- Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)-that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3-1.1 kg/kg; hSbR = 0.1-0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals? body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals' ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. 653 $aConcentrate supplementation 653 $aSubstitution rate 653 $aSupplement feed efficiency 653 $aSupplementation response pattern 700 1 $aDURANTE, M. 700 1 $aHIRIGOYEN, A. 700 1 $aSÁNCHEZ, J. 700 1 $aROVIRA, P.J. 700 1 $aBERETTA, V. 700 1 $aSIMEONE, A. 700 1 $aJAURENA, M. 700 1 $aSAVIAN, J.V. 700 1 $aPOPPI, D. 700 1 $aMONTOSSI, F. 700 1 $aLAGOMARSINO, X. 700 1 $aLUZARDO, S. 700 1 $aBRITO, G. 700 1 $aVELAZCO, J.I. 700 1 $aLATTANZI, F. 700 1 $aBREMM, C. 773 $tGrasses. 2023, Volume 2, Issue 3, pages 168-184. https://doi.org/10.3390/grasses2030014 --- OPEN ACCESS.
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