Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Rafael de Ávila
Data de Publicação: 2012
Outros Autores: Pedrini,João Eduardo, Fraisse,Clyde William, Fernandes,José Maurício Cunha, Justino,Flávio Barbosa, Heinemann,Alexandre Bryan, Costa,Luiz Cláudio, Vale,Francisco Xavier Ribeiro do
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000200021
Resumo: 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.
id IAC-1_5ec9ed5ffcfd7c54af1dfe2863fcb80e
oai_identifier_str oai:scielo:S0006-87052012000200021
network_acronym_str IAC-1
network_name_str Bragantia
repository_id_str
spelling Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycleDSSATcalibrationvalidationmodelingrust epidemicsIn 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.Instituto Agronômico de Campinas2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000200021Bragantia v.71 n.2 2012reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052012000200021info:eu-repo/semantics/openAccessRodrigues,Rafael de ÁvilaPedrini,João EduardoFraisse,Clyde WilliamFernandes,José Maurício CunhaJustino,Flávio BarbosaHeinemann,Alexandre BryanCosta,Luiz CláudioVale,Francisco Xavier Ribeiro doeng2012-08-23T00:00:00Zoai:scielo:S0006-87052012000200021Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2012-08-23T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
title Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
spellingShingle Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
Rodrigues,Rafael de Ávila
DSSAT
calibration
validation
modeling
rust epidemics
title_short Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
title_full Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
title_fullStr Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
title_full_unstemmed Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
title_sort Utilization of the cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
author Rodrigues,Rafael de Ávila
author_facet Rodrigues,Rafael de Ávila
Pedrini,João Eduardo
Fraisse,Clyde William
Fernandes,José Maurício Cunha
Justino,Flávio Barbosa
Heinemann,Alexandre Bryan
Costa,Luiz Cláudio
Vale,Francisco Xavier Ribeiro do
author_role author
author2 Pedrini,João Eduardo
Fraisse,Clyde William
Fernandes,José Maurício Cunha
Justino,Flávio Barbosa
Heinemann,Alexandre Bryan
Costa,Luiz Cláudio
Vale,Francisco Xavier Ribeiro do
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues,Rafael de Ávila
Pedrini,João Eduardo
Fraisse,Clyde William
Fernandes,José Maurício Cunha
Justino,Flávio Barbosa
Heinemann,Alexandre Bryan
Costa,Luiz Cláudio
Vale,Francisco Xavier Ribeiro do
dc.subject.por.fl_str_mv DSSAT
calibration
validation
modeling
rust epidemics
topic DSSAT
calibration
validation
modeling
rust epidemics
description 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.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000200021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000200021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052012000200021
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.71 n.2 2012
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
_version_ 1754193302602645504