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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 : |
27/09/2022 |
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Actualizado : |
27/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BAEZA, S.; VÉLEZ-MARTIN, E.; DE ABELLEYRA, D.; BANCHERO, S.; GALLEGO, F.; SCHIRMBECK, J.; VERON, S.; VALLEJOS, M.; WEBER, E.; OYARZABAL, M.; BARBIERI, A.; PETEK, M.; GUERRA LARA, M.; SARRAILHÉ, S.S.; BALDI, G.; BAGNATO, C.; BRUZZONE, L.; RAMOS, S.; HASENACK, H. |
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Afiliación : |
SANTIAGO BAEZA, Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, 12900, Uruguay; E. VÉLEZ-MARTIN, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; D. DE ABELLEYRA, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; S. BANCHERO, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; F. GALLEGO, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; J. SCHIRMBECK, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; S. VERON, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Bs. As., Argentina;Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Bs. As., Argentina; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; E. WEBER, Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto, Universidade Federal do Rio Grande do Sul, Campus Litoral Norte. Tramandaí, Rio Grande do Sul, 95590-000, Brazil; M. OYARZABAL, Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Buenos Aires, Buenos Aires, 1417, Argentina; A. BARBIERI, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; M. PETEK, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; M. GUERRA LARA, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis y CONICET, San Luis, San Luis, 5700, Argentina; S. S. SARRAILHÉ, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; G. BALDI, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis and CONICET, San Luis, San Luis, 5700, Argentina; C. BAGNATO, IRNAD, UNRN, CONICET, Río Negro, San Carlos de Bariloche, 8400, Argentina; L. BRUZZONE, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; S. RAMOS, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; H. HASENACK, Departamento de Ecologia, IB e Programa de Pós-Graduação em Agronegócios, CEPAN, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, 91501-970, Brazil. |
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Título : |
Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Remote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834 |
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ISSN : |
2352-9385 |
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DOI : |
10.1016/j.rsase.2022.100834 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022.
Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032. |
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Contenido : |
ABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V. MenosABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or f... Presentar Todo |
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Palabras claves : |
Classification; Grasslands; Land use change; Landsat; Time series. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03626naa a2200433 a 4500
001 1063583
005 2022-09-27
008 2022 bl uuuu u00u1 u #d
022 $a2352-9385
024 7 $a10.1016/j.rsase.2022.100834$2DOI
100 1 $aBAEZA, S.
245 $aTwo decades of land cover mapping in the Río de la Plata grassland region$bThe MapBiomas Pampa initiative.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022. Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032.
520 $aABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V.
653 $aClassification
653 $aGrasslands
653 $aLand use change
653 $aLandsat
653 $aTime series
700 1 $aVÉLEZ-MARTIN, E.
700 1 $aDE ABELLEYRA, D.
700 1 $aBANCHERO, S.
700 1 $aGALLEGO, F.
700 1 $aSCHIRMBECK, J.
700 1 $aVERON, S.
700 1 $aVALLEJOS, M.
700 1 $aWEBER, E.
700 1 $aOYARZABAL, M.
700 1 $aBARBIERI, A.
700 1 $aPETEK, M.
700 1 $aGUERRA LARA, M.
700 1 $aSARRAILHÉ, S.S.
700 1 $aBALDI, G.
700 1 $aBAGNATO, C.
700 1 $aBRUZZONE, L.
700 1 $aRAMOS, S.
700 1 $aHASENACK, H.
773 $tRemote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
05/12/2023 |
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Actualizado : |
05/12/2023 |
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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 : |
RAHNAMA, M.; CONDON, B.; ASCARI, J.P.; DUPUIS, J.R.; DEL PONTE, E.M.; PEDLEY, K.F.; MARTÍNEZ, S.; VALENT, B.; FARMAN, M.L. |
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Afiliación : |
MOSTAFA RAHNAMA, Department of Plant Pathology, University of Kentucky, Lexington, KY, United States; Department of Biology, Tennesse Tech University, Cookeville, TN, United States; BRADFORD CONDON, Department of Plant Pathology, University of Kentucky, Lexington, KY, United States; JOÃO P. ASCARI, Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa-MG, Brazil; JULIAN R. DUPUIS, Department of Entomology S-225 Agricultural Science Center, University of Kentucky, Lexington, KY, United States; EMERSON M. DEL PONTE, Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa-MG, Brazil; KERRY F. PEDLEY, USDA/ARS/Foreign Disease Weed Science Research Unit, Fort Detrick, Frederick, MD, United States; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BARBARA VALENT, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States; MARK L. FARMAN, Department of Plant Pathology, University of Kentucky, Lexington, KY, United States. |
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Título : |
Recent co-evolution of two pandemic plant diseases in a multi-hybrid swarm. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Nature Ecology and Evolution, 2023, 7, 2055-2066. https://doi.org/10.1038/s41559-023-02237-z -- OPEN ACCESS. |
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ISSN : |
2397-334X |
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DOI : |
10.1038/s41559-023-02237-z |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 October 2021; Accepted 28 September 2023; Published online 9 November 2023. -- Correspondence: Farman, M.L.; Department of Plant Pathology, University of Kentucky, Lexington, KY, United States; email: farman@uky.edu -- FUNDING: This work was supported by the United States Department of Agriculture, Agriculture and Food Research Initiative grants 2013-68004-20378 and 2021-68013-33719 (B.V.), multistate project NE1602 (M.F.); Agricultural Research Service project 8044-22000-046-00D (B.V.); Hatch project KY012037 (M.F.); the National Science Foundation, MCB-1716491 (M.F.); and the University of Kentucky College of Agriculture Food and the Environment (M.F.). This is contribution no. 21-121-J from the Kansas Agricultural Experiment Station. -- License: |
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Contenido : |
Most plant pathogens exhibit host specificity but when former barriers to infection break down, new diseases can rapidly emerge. For a number of fungal diseases, there is increasing evidence that hybridization plays a major role in driving host jumps. However, the relative contributions of existing variation versus new mutations in adapting to new host(s) is unclear. Here we reconstruct the evolutionary history of two recently emerged populations of the fungus Pyricularia oryzae that are responsible for two new plant diseases: wheat blast and grey leaf spot of ryegrasses. We provide evidence that wheat blast/grey leaf spot evolved through two distinct mating episodes: the first occurred ~60 years ago, when a fungal individual adapted to Eleusine mated with another individual from Urochloa. Then, about 10 years later, a single progeny from this cross underwent a series of matings with a small number of individuals from three additional host-specialized populations. These matings introduced non-functional alleles of two key host-specificity factors, whose recombination in a multi-hybrid swarm probably facilitated the host jump. We show that very few mutations have arisen since the founding event and a majority are private to individual isolates. Thus, adaptation to the wheat or Lolium hosts appears to have been instantaneous, and driven entirely by selection on repartitioned standing variation, with no obvious role for newly formed mutations. © 2023, The Author(s). |
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Palabras claves : |
Fungal diseases; Plant pathogens; Pyricularia oryzae. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://www.nature.com/articles/s41559-023-02237-z.pdf
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Marc : |
LEADER 03127naa a2200289 a 4500
001 1064388
005 2023-12-05
008 2023 bl uuuu u00u1 u #d
022 $a2397-334X
024 7 $a10.1038/s41559-023-02237-z$2DOI
100 1 $aRAHNAMA, M.
245 $aRecent co-evolution of two pandemic plant diseases in a multi-hybrid swarm.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 15 October 2021; Accepted 28 September 2023; Published online 9 November 2023. -- Correspondence: Farman, M.L.; Department of Plant Pathology, University of Kentucky, Lexington, KY, United States; email: farman@uky.edu -- FUNDING: This work was supported by the United States Department of Agriculture, Agriculture and Food Research Initiative grants 2013-68004-20378 and 2021-68013-33719 (B.V.), multistate project NE1602 (M.F.); Agricultural Research Service project 8044-22000-046-00D (B.V.); Hatch project KY012037 (M.F.); the National Science Foundation, MCB-1716491 (M.F.); and the University of Kentucky College of Agriculture Food and the Environment (M.F.). This is contribution no. 21-121-J from the Kansas Agricultural Experiment Station. -- License:
520 $aMost plant pathogens exhibit host specificity but when former barriers to infection break down, new diseases can rapidly emerge. For a number of fungal diseases, there is increasing evidence that hybridization plays a major role in driving host jumps. However, the relative contributions of existing variation versus new mutations in adapting to new host(s) is unclear. Here we reconstruct the evolutionary history of two recently emerged populations of the fungus Pyricularia oryzae that are responsible for two new plant diseases: wheat blast and grey leaf spot of ryegrasses. We provide evidence that wheat blast/grey leaf spot evolved through two distinct mating episodes: the first occurred ~60 years ago, when a fungal individual adapted to Eleusine mated with another individual from Urochloa. Then, about 10 years later, a single progeny from this cross underwent a series of matings with a small number of individuals from three additional host-specialized populations. These matings introduced non-functional alleles of two key host-specificity factors, whose recombination in a multi-hybrid swarm probably facilitated the host jump. We show that very few mutations have arisen since the founding event and a majority are private to individual isolates. Thus, adaptation to the wheat or Lolium hosts appears to have been instantaneous, and driven entirely by selection on repartitioned standing variation, with no obvious role for newly formed mutations. © 2023, The Author(s).
653 $aFungal diseases
653 $aPlant pathogens
653 $aPyricularia oryzae
700 1 $aCONDON, B.
700 1 $aASCARI, J.P.
700 1 $aDUPUIS, J.R.
700 1 $aDEL PONTE, E.M.
700 1 $aPEDLEY, K.F.
700 1 $aMARTÍNEZ, S.
700 1 $aVALENT, B.
700 1 $aFARMAN, M.L.
773 $tNature Ecology and Evolution, 2023, 7, 2055-2066. https://doi.org/10.1038/s41559-023-02237-z -- OPEN ACCESS.
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