M. Dhanoa, R. Sanderson, L. Cárdenas, A. Shepherd, D. Chadwick, C. Powell, J. Ellis, S. López, J. France
{"title":"On the application of the Mitscherlich-Baule equation to fertiliser response data","authors":"M. Dhanoa, R. Sanderson, L. Cárdenas, A. Shepherd, D. Chadwick, C. Powell, J. Ellis, S. López, J. France","doi":"10.1079/cabireviews202217050","DOIUrl":null,"url":null,"abstract":"\n The application of the Mitscherlich-Baule equation to fertiliser response data from an extant experiment conducted in New Zealand is further investigated. An estimate of the relevant soil nutrient is obtained as a function of the fitted parameter values using a full model. Estimates of the Baule units are given. These also depend on the fitted parameters. Additionally, predicted estimates of asymptotes are compared with their fitted estimates. Thus, our primary purpose is to describe additional facets of using a Mitscherlich response function to fit crop yield data. We believe the extra results obtained enhance the value of crop growth experiments.","PeriodicalId":399225,"journal":{"name":"CABI Reviews","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CABI Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/cabireviews202217050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The application of the Mitscherlich-Baule equation to fertiliser response data from an extant experiment conducted in New Zealand is further investigated. An estimate of the relevant soil nutrient is obtained as a function of the fitted parameter values using a full model. Estimates of the Baule units are given. These also depend on the fitted parameters. Additionally, predicted estimates of asymptotes are compared with their fitted estimates. Thus, our primary purpose is to describe additional facets of using a Mitscherlich response function to fit crop yield data. We believe the extra results obtained enhance the value of crop growth experiments.