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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
11/03/2024 |
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Actualizado : |
11/03/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
FARMAN, M.L.; ASCARI, J.P.; RAHNAMA, M.; PONTE, E.M DEL; PEDLEY, K.F.; MARTÍNEZ, S.; FERNANDES, J.M.C.; VALENT, B. |
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Afiliación : |
MARK L. FARMAN, Department of Plant Pathology, University of Kentucky, Lexington, United States; JOAO P. ASCARI, Departamento de Fitopatologia, Universidade Federal de Viçosa, MG, Viçosa, 36570-900, Brazil; MOSTAFA RAHNAMA, Department of Plant Pathology, University of Kentucky, Lexington, United States; EMERSON M DEL PONTE, Departamento de Fitopatologia, Universidade Federal de Viçosa, MG, Viçosa, 36570-900, Brazil; KERRY F. PEDLEY, U.S. Department of Agriculture-Agricultural Research Service, Foreign Disease Weed Science Research Unit, Fort Detrick, MD 21702, United States; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ MAURÍCIO C. FERNANDES, Embrapa Trigo, RS, Passo Fundo, 99050-970, Brazil; BARBARA VALENT, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, United States. |
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Título : |
A reevaluation of phylogenomic data reveals that current understanding in wheat blast population biology and epidemiology is obfuscated by oversights in population sampling. |
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Complemento del título : |
Population biology. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Phytopathology. 2024, 114(1): 220-225. https://doi.org/10.1094/PHYTO-01-23-0025-R |
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ISSN : |
0031-949X |
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DOI : |
10.1094/PHYTO-01-23-0025-R |
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Idioma : |
Inglés |
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Notas : |
Article history: Accepted for publication 10 July 2023; Published online 23 December 2023. -- Corresponding author: M. L. Farman; farman@uky.edu . -- Document type: Article Green Open Access. -- Funding:Support was provided by the U.S. Department of Agriculture, Agriculture and Food Research Initiative (grant 2013-68004-20378, multistate project NE1602); Agricultural Research Service (project 8044-22000-046-00D and Hatchproject KY012037); the National Science Foundation (grant MCB-1716491); the University of Kentucky College of Agriculture Food and the Environment; Fundaçãode Amparo à Pesquisa do Estado de Minas Gerais (grant APQ-03072-18 to E. M. DelPonte); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (PROEX);and National Council for Scientific and Technological Development (CNPq) (grant310208/2019-0). E. M. Del Ponte was supported by CNPq through a Productivity Research Fellowship (project 310208/2019-0). J. P. Ascari was supported by CNPq through a doctoral scholarship. -- Supplementary material is available online: |
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Contenido : |
ABSTRACT.- Wheat blast, caused by the Pyricularia oryzae Triticum lineage (PoT), first emerged in Brazil and quickly spread to neighboring countries. Its recent appearance in Bangladesh and Zambia highlights a need to understand the disease's population biology and epidemiology so as to mitigate pandemic outbreaks. Current knowledge is mostly based on characterizations of Brazilian wheat blast isolates and comparison with isolates from non-wheat, endemic grasses. These foregoing studies concluded that the wheat blast population lacks host specificity and, as a result, undergoes extensive gene flow with populations infecting non-wheat hosts. Additionally, based on genetic similarity between wheat blast and isolates infecting Urochloa species, it was proposed that the disease originally emerged via a host jump from this grass and that Urochloa likely plays a central role in wheat blast epidemiology owing to its widespread use as a pasture grass. However, due to inconsistencies with broader phylogenetic studies, we suspected that these seminal studies had not actually sampled the populations normally found on endemic grasses and, instead, had repeatedly isolated members of PoT and the related Lolium pathogen lineage (PoL1). Re-analysis of the Brazilian data as part of a comprehensive, global, phylogenomic dataset that included a small number of South American isolates sampled away from wheat confirmed our suspicion and identified four new P. oryzae lineages on grass hosts. As a result, the conclusions underpinning current understanding in wheat blast's evolution, population biology, and epidemiology are unsubstantiated and could be equivocal. @ This article is in the public domain and not copyrightable. It may be freely reprinted with customary crediting of the source. The American Phytopathological Society, 2023. MenosABSTRACT.- Wheat blast, caused by the Pyricularia oryzae Triticum lineage (PoT), first emerged in Brazil and quickly spread to neighboring countries. Its recent appearance in Bangladesh and Zambia highlights a need to understand the disease's population biology and epidemiology so as to mitigate pandemic outbreaks. Current knowledge is mostly based on characterizations of Brazilian wheat blast isolates and comparison with isolates from non-wheat, endemic grasses. These foregoing studies concluded that the wheat blast population lacks host specificity and, as a result, undergoes extensive gene flow with populations infecting non-wheat hosts. Additionally, based on genetic similarity between wheat blast and isolates infecting Urochloa species, it was proposed that the disease originally emerged via a host jump from this grass and that Urochloa likely plays a central role in wheat blast epidemiology owing to its widespread use as a pasture grass. However, due to inconsistencies with broader phylogenetic studies, we suspected that these seminal studies had not actually sampled the populations normally found on endemic grasses and, instead, had repeatedly isolated members of PoT and the related Lolium pathogen lineage (PoL1). Re-analysis of the Brazilian data as part of a comprehensive, global, phylogenomic dataset that included a small number of South American isolates sampled away from wheat confirmed our suspicion and identified four new P. oryzae lineages on grass hosts. As a... Presentar Todo |
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Palabras claves : |
Magnaporthe oryzae; Phylogenetics. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-01-23-0025-R
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Marc : |
LEADER 03766naa a2200265 a 4500
001 1064501
005 2024-03-11
008 2024 bl uuuu u00u1 u #d
022 $a0031-949X
024 7 $a10.1094/PHYTO-01-23-0025-R$2DOI
100 1 $aFARMAN, M.L.
245 $aA reevaluation of phylogenomic data reveals that current understanding in wheat blast population biology and epidemiology is obfuscated by oversights in population sampling.$h[electronic resource]
260 $c2024
500 $aArticle history: Accepted for publication 10 July 2023; Published online 23 December 2023. -- Corresponding author: M. L. Farman; farman@uky.edu . -- Document type: Article Green Open Access. -- Funding:Support was provided by the U.S. Department of Agriculture, Agriculture and Food Research Initiative (grant 2013-68004-20378, multistate project NE1602); Agricultural Research Service (project 8044-22000-046-00D and Hatchproject KY012037); the National Science Foundation (grant MCB-1716491); the University of Kentucky College of Agriculture Food and the Environment; Fundaçãode Amparo à Pesquisa do Estado de Minas Gerais (grant APQ-03072-18 to E. M. DelPonte); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (PROEX);and National Council for Scientific and Technological Development (CNPq) (grant310208/2019-0). E. M. Del Ponte was supported by CNPq through a Productivity Research Fellowship (project 310208/2019-0). J. P. Ascari was supported by CNPq through a doctoral scholarship. -- Supplementary material is available online:
520 $aABSTRACT.- Wheat blast, caused by the Pyricularia oryzae Triticum lineage (PoT), first emerged in Brazil and quickly spread to neighboring countries. Its recent appearance in Bangladesh and Zambia highlights a need to understand the disease's population biology and epidemiology so as to mitigate pandemic outbreaks. Current knowledge is mostly based on characterizations of Brazilian wheat blast isolates and comparison with isolates from non-wheat, endemic grasses. These foregoing studies concluded that the wheat blast population lacks host specificity and, as a result, undergoes extensive gene flow with populations infecting non-wheat hosts. Additionally, based on genetic similarity between wheat blast and isolates infecting Urochloa species, it was proposed that the disease originally emerged via a host jump from this grass and that Urochloa likely plays a central role in wheat blast epidemiology owing to its widespread use as a pasture grass. However, due to inconsistencies with broader phylogenetic studies, we suspected that these seminal studies had not actually sampled the populations normally found on endemic grasses and, instead, had repeatedly isolated members of PoT and the related Lolium pathogen lineage (PoL1). Re-analysis of the Brazilian data as part of a comprehensive, global, phylogenomic dataset that included a small number of South American isolates sampled away from wheat confirmed our suspicion and identified four new P. oryzae lineages on grass hosts. As a result, the conclusions underpinning current understanding in wheat blast's evolution, population biology, and epidemiology are unsubstantiated and could be equivocal. @ This article is in the public domain and not copyrightable. It may be freely reprinted with customary crediting of the source. The American Phytopathological Society, 2023.
653 $aMagnaporthe oryzae
653 $aPhylogenetics
700 1 $aASCARI, J.P.
700 1 $aRAHNAMA, M.
700 1 $aPONTE, E.M DEL
700 1 $aPEDLEY, K.F.
700 1 $aMARTÍNEZ, S.
700 1 $aFERNANDES, J.M.C.
700 1 $aVALENT, B.
773 $tPhytopathology. 2024, 114(1): 220-225. https://doi.org/10.1094/PHYTO-01-23-0025-R
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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 : |
12/07/2023 |
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Actualizado : |
12/07/2023 |
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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 : |
ORTEGA, G.; CHILIBROSTE, P.; GARRIDO, J.M.; WALLER, A.; FARIÑA, S.; LATTANZI, F. |
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Afiliación : |
G. ORTEGA, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; PABLO CHILIBROSTE, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 3 km 363, Paysandú, Uruguay; J. M. GARRIDO, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; ALICIA CAROLINA WALLER BARCENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Monitoring herbage mass and pasture growth rate of large grazing areas: a comparison of the correspondence, cost and reliability of indirect methods. |
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Complemento del título : |
Crops and Soils Research Paper. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
The Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES. |
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ISSN : |
0021-8596 |
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DOI : |
10.1017/S0021859623000333 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). -- |
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Contenido : |
Timely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved. MenosTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset high... Presentar Todo |
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Palabras claves : |
Aerial net primary productivity; Cattle; CDAX; Comparative yield method; Milk production. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FA844C9EEF4B5DAEA10063F15B9B847/S0021859623000333a.pdf
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Marc : |
LEADER 03237naa a2200277 a 4500
001 1064249
005 2023-07-12
008 2023 bl uuuu u00u1 u #d
022 $a0021-8596
024 7 $a10.1017/S0021859623000333$2DOI
100 1 $aORTEGA, G.
245 $aMonitoring herbage mass and pasture growth rate of large grazing areas$ba comparison of the correspondence, cost and reliability of indirect methods.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). --
520 $aTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved.
653 $aAerial net primary productivity
653 $aCattle
653 $aCDAX
653 $aComparative yield method
653 $aMilk production
700 1 $aCHILIBROSTE, P.
700 1 $aGARRIDO, J.M.
700 1 $aWALLER, A.
700 1 $aFARIÑA, S.
700 1 $aLATTANZI, F.
773 $tThe Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES.
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