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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
27/02/2024 |
Data da última atualização: |
27/02/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
STEMPKOWSKI, L. A.; NASCIMENTO, S. C. do; MAR, T. B.; GONÇALVES, N. P.; LAU, D.; MELLO, R. N. de; SILVA, F. N. da; ZERBINI, F. M. |
Afiliação: |
LUCAS ANTONIO STEMPKOWSKI, pós-doutorando UFV e CNPAF; SAMARA CAMPOS DO NASCIMENTO, mestranda UNIVERSIDADE DO ESTADO DE SANTA CATARINA; TALITA BERNARDON MAR, pós-doutorando CNPT; NARLA PIRES GONÇALVES, estagiária UFV; DOUGLAS LAU, CNPT; RAQUEL NEVES DE MELLO, CNPAF; FABIO NASCIMENTO DA SILVA, UNIVERSIDADE DO ESTADO DE SANTA CATARINA; F. MURILO ZERBINI, UNIVERSIDADE FEDERAL DE VIÇOSA. |
Título: |
Diversidade genética de Polymyxa graminis infectando arroz e trigo no sul do Brasil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia, 2023. |
Páginas: |
p. 680. |
Idioma: |
Português |
Conteúdo: |
Polymyxa graminis, a protozoan classified in the family Plasmodiophoraceae, is a widely distributed microorganism and obligate parasite that primarily infects the roots of various cereal and wild grass species. While not considered a typical plant pathogen, it serves as an efficient vector for over 14 soil-borne viruses classified in the families Benyviridae, Potyviridae and Virgaviridae. The objective of this study was to molecularly characterize P. graminis isolates associated with wheat and rice in southern Brazil. |
Palavras-Chave: |
Diversidade genética; Genetic diversity. |
Thesagro: |
Arroz; Doença de Planta; Oryza Sativa; Polymyxa Graminis; Trigo; Triticum Aestivum. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 01463nam a2200301 a 4500 001 2162297 005 2024-02-27 008 2023 bl uuuu u00u1 u #d 100 1 $aSTEMPKOWSKI, L. A. 245 $aDiversidade genética de Polymyxa graminis infectando arroz e trigo no sul do Brasil.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia$c2023 300 $ap. 680. 520 $aPolymyxa graminis, a protozoan classified in the family Plasmodiophoraceae, is a widely distributed microorganism and obligate parasite that primarily infects the roots of various cereal and wild grass species. While not considered a typical plant pathogen, it serves as an efficient vector for over 14 soil-borne viruses classified in the families Benyviridae, Potyviridae and Virgaviridae. The objective of this study was to molecularly characterize P. graminis isolates associated with wheat and rice in southern Brazil. 650 $aArroz 650 $aDoença de Planta 650 $aOryza Sativa 650 $aPolymyxa Graminis 650 $aTrigo 650 $aTriticum Aestivum 653 $aDiversidade genética 653 $aGenetic diversity 700 1 $aNASCIMENTO, S. C. do 700 1 $aMAR, T. B. 700 1 $aGONÇALVES, N. P. 700 1 $aLAU, D. 700 1 $aMELLO, R. N. de 700 1 $aSILVA, F. N. da 700 1 $aZERBINI, F. M.
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Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
13/08/2020 |
Data da última atualização: |
18/08/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
DOU, Y.; YAO, G.; HERZBERGER, A.; SILVA, R. F. B. da; SONG, Q.; HOVIS, C.; BATISTELLA, M.; MORAN, E.; WU, W.; LIU, J. |
Afiliação: |
YUE DOU, Michigan State University, Vrije Universiteit Amsterdam; GUOLIN YAO, University of Maryland; ANNA HERZBERGER, Michigan State University; RAMON FELIPE BICUDO DA SILVA, Unicamp; QIAN SONG, Unicamp; CIARA HOVIS, Michigan State University; MATEUS BATISTELLA, CNPTIA, Unicamp; EMILIO MORAN, Michigan State University; WENBIN WU, Unicamp; JIANGUO LIU, Michigan State University. |
Título: |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Journal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020. |
DOI: |
10.18564/jasss.4211 |
Idioma: |
Inglês |
Notas: |
Article 11. |
Conteúdo: |
Abstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validate the model results in each location respectively. We then illustrate how the aggregated farmer agents? land-use behaviors in the sending system result in land-use changes in the receiving system, and vice versa. One scenario example (i.e., a high-tariff scenario) is given to demonstrate the results of TeleABM. Such a model allows us to advance the understanding of telecoupling features and the influence on land system science, and to test hypotheses about complex coupled human-natural systems (e.g., cascading effect). MenosAbstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validat... Mostrar Tudo |
Palavras-Chave: |
Agent-Based Model; Land System; Land-Use Change; ODD+D; Soybean Trade; Telecoupling. |
Thesagro: |
Uso da Terra. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215304/1/AP-Land-use-change-2020.pdf
|
Marc: |
LEADER 02941naa a2200337 a 4500 001 2124348 005 2020-08-18 008 2020 bl uuuu u00u1 u #d 024 7 $a10.18564/jasss.4211$2DOI 100 1 $aDOU, Y. 245 $aLand-use changes in distant places$bimplementation of a telecoupled agent-based model.$h[electronic resource] 260 $c2020 500 $aArticle 11. 520 $aAbstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validate the model results in each location respectively. We then illustrate how the aggregated farmer agents? land-use behaviors in the sending system result in land-use changes in the receiving system, and vice versa. One scenario example (i.e., a high-tariff scenario) is given to demonstrate the results of TeleABM. Such a model allows us to advance the understanding of telecoupling features and the influence on land system science, and to test hypotheses about complex coupled human-natural systems (e.g., cascading effect). 650 $aUso da Terra 653 $aAgent-Based Model 653 $aLand System 653 $aLand-Use Change 653 $aODD+D 653 $aSoybean Trade 653 $aTelecoupling 700 1 $aYAO, G. 700 1 $aHERZBERGER, A. 700 1 $aSILVA, R. F. B. da 700 1 $aSONG, Q. 700 1 $aHOVIS, C. 700 1 $aBATISTELLA, M. 700 1 $aMORAN, E. 700 1 $aWU, W. 700 1 $aLIU, J. 773 $tJournal of Artificial Societies and Social Simulation$gv. 23, n. 1, 2020.
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