Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000984382> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2000984382 endingPage "713" @default.
- W2000984382 startingPage "703" @default.
- W2000984382 abstract "A desirable feature of crop simulation models is for the same model to be applicable in any region if oneprovides required soil, weather, and crop input information. However, this is not an easy task. Each model requires anumber of parameters that have to be measured or estimated. Moreover, many existing crop models have empiricalrelationships that represent important soil and crop processes, such as root growth and soil water extraction. Thus,objective methods are needed for estimating parameters for such crop models because they may not be known or easilyestimated from readily available field or laboratory data. An objective procedure based on the Adaptive SimulatedAnnealing (ASA) optimization technique has been developed to estimate soil and root growth parameters for both thecurrent (CROPGRO-Soybean v3.5) and revised models. We used this procedure to estimate a soil impedance factor(SIF) and a root hospitality factor (RHFAC) in the revised model; and the root weighting function (WR) in thecurrent model. This procedure uses field measurements of volumetric soil water content at different depth incrementsover time during a growing season. It estimates parameters that minimize the error sum of squares between observed andsimulated values. Data sets from East Campus, Nebraska (Specht et al., 1986), Gainesville, Florida (Hammond et al.,1978, unpublished), and Castana, Iowa (Mason et al., 1980), were used to evaluate the ASA optimization program and tocompare the performance of the two models. The results demonstrated that the ASA program was able to fit the predictedsoil water in the revised model. Except for the Nebraska experiment, the current model with the optimized WR alsofit soil water content over time. Although the two models predicted reasonably well final grain yield for the Florida andIowa experiments, the current model under predicted grain yield by more than 40% for the Nebraska location. Theabsolute percent errors in soil water contents estimated for the Nebraska experiment using the revised and currentmodels were less than 5% and 8%, respectively. The global Adaptive Simulated Annealing (ASA) optimization method canbe used successfully for estimating root growth and soil water extraction parameters for dynamic crop models." @default.
- W2000984382 created "2016-06-24" @default.
- W2000984382 creator A5012921960 @default.
- W2000984382 creator A5037804805 @default.
- W2000984382 creator A5060984875 @default.
- W2000984382 creator A5080038550 @default.
- W2000984382 date "1999-01-01" @default.
- W2000984382 modified "2023-09-28" @default.
- W2000984382 title "ESTIMATING PARAMETERS FOR SOIL WATER BALANCE MODELS USING ADAPTIVE SIMULATED ANNEALING" @default.
- W2000984382 doi "https://doi.org/10.13031/2013.5841" @default.
- W2000984382 hasPublicationYear "1999" @default.
- W2000984382 type Work @default.
- W2000984382 sameAs 2000984382 @default.
- W2000984382 citedByCount "21" @default.
- W2000984382 countsByYear W20009843822012 @default.
- W2000984382 countsByYear W20009843822014 @default.
- W2000984382 countsByYear W20009843822015 @default.
- W2000984382 countsByYear W20009843822018 @default.
- W2000984382 countsByYear W20009843822019 @default.
- W2000984382 countsByYear W20009843822021 @default.
- W2000984382 countsByYear W20009843822022 @default.
- W2000984382 crossrefType "journal-article" @default.
- W2000984382 hasAuthorship W2000984382A5012921960 @default.
- W2000984382 hasAuthorship W2000984382A5037804805 @default.
- W2000984382 hasAuthorship W2000984382A5060984875 @default.
- W2000984382 hasAuthorship W2000984382A5080038550 @default.
- W2000984382 hasConcept C126838900 @default.
- W2000984382 hasConcept C127413603 @default.
- W2000984382 hasConcept C137660486 @default.
- W2000984382 hasConcept C159390177 @default.
- W2000984382 hasConcept C159750122 @default.
- W2000984382 hasConcept C183115368 @default.
- W2000984382 hasConcept C33923547 @default.
- W2000984382 hasConcept C39432304 @default.
- W2000984382 hasConcept C6557445 @default.
- W2000984382 hasConcept C71924100 @default.
- W2000984382 hasConcept C86803240 @default.
- W2000984382 hasConcept C88463610 @default.
- W2000984382 hasConceptScore W2000984382C126838900 @default.
- W2000984382 hasConceptScore W2000984382C127413603 @default.
- W2000984382 hasConceptScore W2000984382C137660486 @default.
- W2000984382 hasConceptScore W2000984382C159390177 @default.
- W2000984382 hasConceptScore W2000984382C159750122 @default.
- W2000984382 hasConceptScore W2000984382C183115368 @default.
- W2000984382 hasConceptScore W2000984382C33923547 @default.
- W2000984382 hasConceptScore W2000984382C39432304 @default.
- W2000984382 hasConceptScore W2000984382C6557445 @default.
- W2000984382 hasConceptScore W2000984382C71924100 @default.
- W2000984382 hasConceptScore W2000984382C86803240 @default.
- W2000984382 hasConceptScore W2000984382C88463610 @default.
- W2000984382 hasIssue "6" @default.
- W2000984382 hasLocation W20009843821 @default.
- W2000984382 hasOpenAccess W2000984382 @default.
- W2000984382 hasPrimaryLocation W20009843821 @default.
- W2000984382 hasRelatedWork W1982030299 @default.
- W2000984382 hasRelatedWork W2008804768 @default.
- W2000984382 hasRelatedWork W2026688281 @default.
- W2000984382 hasRelatedWork W2311708262 @default.
- W2000984382 hasRelatedWork W2361720056 @default.
- W2000984382 hasRelatedWork W2474739332 @default.
- W2000984382 hasRelatedWork W2561081837 @default.
- W2000984382 hasRelatedWork W2793572154 @default.
- W2000984382 hasRelatedWork W2885958420 @default.
- W2000984382 hasRelatedWork W2923679959 @default.
- W2000984382 hasVolume "15" @default.
- W2000984382 isParatext "false" @default.
- W2000984382 isRetracted "false" @default.
- W2000984382 magId "2000984382" @default.
- W2000984382 workType "article" @default.