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| Registros recuperados : 10 | |
| 6. |  | FAVRETTO, K.; PAVAN, W.; FERNANDES, J. M. C.; CERVI, C. R.; DALBOSCO, J.; FRAISSE, C. W. Um protótipo de ambiente de desenvolvimento Web para a linguagem R. Hífen, Uruguaiana, v. 32, n. 62, p. 278-285, 2008.| Biblioteca(s): Embrapa Trigo. |
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| 7. | | PERONDI, D.; PAVAN, W.; ROSA, R. S. da; FERNANDES, J. M. C.; FRAISSE, C. W. Uma solução computacional de aquisição, tratamento, armazenamento, disponibilização e apresentação de dados meteorológicos. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 10., 2015, Ponta Grossa. Uso de VANTs e sensores para avanços no agronegócio: anais. Ponta Grossa: Universidade Estadual de Ponta Grossa, 2015. p. 765-772.| Biblioteca(s): Embrapa Trigo. |
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| 8. | | LAZZARETTI, A. T.; SCHNEIDER, V. R.; WIEST, R.; LAU, D.; FERNANDES, J. M. C.; FRAISSE, C. W.; CERBARO, V. A.; KARREI, M. Z. Implementação e comparação de técnicas de machine learning aplicadas à predição do desenvolvimento de populações de afídeos. Revista Brasileira de Computação Aplicada, v. 15, n. 3, p. 25-37, nov. 2023.| Biblioteca(s): Embrapa Trigo. |
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| 9. | | RODRIGUES, R. de A.; PEDRINI, J. E.; FRAISSE, C. W.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; COSTA, L. C.; VALE, F. X. R. do. Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle. Bragantia, Campinas, v. 71, n. 2, p. 308-317, 2012.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Trigo. |
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| 10. | | RODRIGUES, R. de A.; JULIATTI, F. C.; PEDRINI, J. E.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; FRAISSE, C. W.; FARIAS, J. R. B.; PAVAN, W.; COSTA, L. C.; VALE, F. X. R. do; REZENDE, A. A. Asian soybean rust: modeling the impact on soybean grain yield in the Triângulo Mineiro/Alto Paranaíba region, Minas Gerais, Brazil. Bioscience Journal, Uberlândia, v. 29, n. 2, p. 264-279, Mar./Apr. 2013.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Soja; Embrapa Trigo. |
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| Registros recuperados : 10 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Trigo. |
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Data corrente: |
12/09/2012 |
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Data da última atualização: |
20/02/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
RODRIGUES, R. de A.; PEDRINI, J. E.; FRAISSE, C. W.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; COSTA, L. C.; VALE, F. X. R. do. |
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Afiliação: |
RAFAEL DE ÁVILA RODRIGUES, UNIVERSIDADE FEDERAL DE VIÇOSA; JOÃO EDUARDO PEDRINI, UNIVERSIDADE DE PASSO FUNDO; CLYDE WILLIAM FRAISSE, UNIVERSITY OF FLORIDA; JOSE MAURICIO CUNHA FERNANDES, CNPT; FLÁVIO BARBOSA JUSTINO, UNIVERSIDADE FEDERAL DE VIÇOSA; ALEXANDRE BRYAN HEINEMANN, CNPAF; LUIZ CLÁUDIO COSTA, UNIVERSIDADE FEDERAL DE VIÇOSA; FRANCISCO XAVIER RIBEIRO DO VALE, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 71, n. 2, p. 308-317, 2012. |
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ISSN: |
0006-8705 |
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DOI: |
http://dx.doi.org.ez103.periodicos.capes.gov.br/10.1590/S0006-87052012000200021 |
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Idioma: |
Inglês |
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Conteúdo: |
In recent years, crop models have increasingly been used to simulate agricultural features. The DSSAT (Decision Support System for Agrotechnology Transfer) is an important tool in modeling growth; however, one of its limitations is related to the unaccounted- for effect of diseases. Therefore, the goals of this study were to calibrate and validate the CSM CROPGRO-Soybean for the soybean cultivars M-SOY 6101 and MG/BR 46 (Conquista), analyze the performance and the effect of Asian soybean rust on these cultivars under the environmental conditions of Viçosa, Minas Gerais, Brazil. The experimental data for the evaluation, testing, and adjustment of the genetic coefficients for the cultivars, M-SOY 6101 and MG/BR 46 (Conquista), were obtained during the 2006/2007, 2007/2008 and 2009/2010 growing seasons. GLUE (Generalized Likelihood Uncertainty Estimation) was used for the estimation of the genetic coefficients, and pedotransfer functions have been utilized to estimate the physical characteristics of the soil. For all of the sowing dates, the early season cultivar, M-SOY 6101, exhibited a lower variance in yield, which represents more stability with regard to the interannual climate variability, i.e., the farmers who use this cultivar will have in 50% of the crop years analyzed, a higher yield than a late-season cultivar. The MG/BR 46 (Conquista) cultivar demonstrated a greater probability of obtaining higher yield in years with favorable weather conditions. However, in the presence of the Asian soybean rust, yield is heavily affected. The early cultivar, M-SOY 6101, showed a lower risk of being affected by the rust and consequently exhibited less yield loss considering the scenario D90 (condensation on the leaf surface occurs when the relative humidity is greater than or equal to 90%), for a sowing date of November 14. MenosIn recent years, crop models have increasingly been used to simulate agricultural features. The DSSAT (Decision Support System for Agrotechnology Transfer) is an important tool in modeling growth; however, one of its limitations is related to the unaccounted- for effect of diseases. Therefore, the goals of this study were to calibrate and validate the CSM CROPGRO-Soybean for the soybean cultivars M-SOY 6101 and MG/BR 46 (Conquista), analyze the performance and the effect of Asian soybean rust on these cultivars under the environmental conditions of Viçosa, Minas Gerais, Brazil. The experimental data for the evaluation, testing, and adjustment of the genetic coefficients for the cultivars, M-SOY 6101 and MG/BR 46 (Conquista), were obtained during the 2006/2007, 2007/2008 and 2009/2010 growing seasons. GLUE (Generalized Likelihood Uncertainty Estimation) was used for the estimation of the genetic coefficients, and pedotransfer functions have been utilized to estimate the physical characteristics of the soil. For all of the sowing dates, the early season cultivar, M-SOY 6101, exhibited a lower variance in yield, which represents more stability with regard to the interannual climate variability, i.e., the farmers who use this cultivar will have in 50% of the crop years analyzed, a higher yield than a late-season cultivar. The MG/BR 46 (Conquista) cultivar demonstrated a greater probability of obtaining higher yield in years with favorable weather conditions. However, in the pres... Mostrar Tudo |
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Palavras-Chave: |
Calibração; Cropgro-Soybean; DSSAT; Epidemia de ferrugem; Modelagem; Modeling; Rust epidemics; Validação; Validation. |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Calibration; Model validation; Models. |
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Categoria do assunto: |
H Saúde e Patologia
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/75046/1/2012bragantiav71n2p308.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/66174/1/v71n2a211.pdf
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Marc: |
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024 7 $ahttp://dx.doi.org.ez103.periodicos.capes.gov.br/10.1590/S0006-87052012000200021$2DOI
100 1 $aRODRIGUES, R. de A.
245 $aUtilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle.$h[electronic resource]
260 $c2012
520 $aIn recent years, crop models have increasingly been used to simulate agricultural features. The DSSAT (Decision Support System for Agrotechnology Transfer) is an important tool in modeling growth; however, one of its limitations is related to the unaccounted- for effect of diseases. Therefore, the goals of this study were to calibrate and validate the CSM CROPGRO-Soybean for the soybean cultivars M-SOY 6101 and MG/BR 46 (Conquista), analyze the performance and the effect of Asian soybean rust on these cultivars under the environmental conditions of Viçosa, Minas Gerais, Brazil. The experimental data for the evaluation, testing, and adjustment of the genetic coefficients for the cultivars, M-SOY 6101 and MG/BR 46 (Conquista), were obtained during the 2006/2007, 2007/2008 and 2009/2010 growing seasons. GLUE (Generalized Likelihood Uncertainty Estimation) was used for the estimation of the genetic coefficients, and pedotransfer functions have been utilized to estimate the physical characteristics of the soil. For all of the sowing dates, the early season cultivar, M-SOY 6101, exhibited a lower variance in yield, which represents more stability with regard to the interannual climate variability, i.e., the farmers who use this cultivar will have in 50% of the crop years analyzed, a higher yield than a late-season cultivar. The MG/BR 46 (Conquista) cultivar demonstrated a greater probability of obtaining higher yield in years with favorable weather conditions. However, in the presence of the Asian soybean rust, yield is heavily affected. The early cultivar, M-SOY 6101, showed a lower risk of being affected by the rust and consequently exhibited less yield loss considering the scenario D90 (condensation on the leaf surface occurs when the relative humidity is greater than or equal to 90%), for a sowing date of November 14.
650 $aCalibration
650 $aModel validation
650 $aModels
650 $aSoja
653 $aCalibração
653 $aCropgro-Soybean
653 $aDSSAT
653 $aEpidemia de ferrugem
653 $aModelagem
653 $aModeling
653 $aRust epidemics
653 $aValidação
653 $aValidation
700 1 $aPEDRINI, J. E.
700 1 $aFRAISSE, C. W.
700 1 $aFERNANDES, J. M. C.
700 1 $aJUSTINO, F. B.
700 1 $aHEINEMANN, A. B.
700 1 $aCOSTA, L. C.
700 1 $aVALE, F. X. R. do
773 $tBragantia, Campinas$gv. 71, n. 2, p. 308-317, 2012.
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Embrapa Trigo (CNPT) |
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