{"title":"Complex selection of the best collection of chick-peaby method of multi-criterian optimization anh Harrington's reliable function","authors":"A. E. Titova","doi":"10.35550/visnykagro2019.01.081","DOIUrl":null,"url":null,"abstract":"A comprehensive selection of the best collection sample of chickpeas by the method of multicriteria optimization and by the Harrington desirability function in seven varieties of chickpeas - Cicer arietinum L., C. Reticulatum Labizinsky., C. Judaicum Boiss., C. Bijugum K.N. Rech., C. Pinnatifidum Jaub., C. chorassinicum (Bge) M. Pop., C. yamashitae Kitam by the comparative evaluation of the alternatives by a set of the indicators of resistance to diseases and pests, the number of beans per plant, the number of grains in the bean, the number of grains per plant, the mass of grains per plant, the weight of 1000 grains, plant height, height of the lower bean, protein and oil content has been made.\nA set of evaluation criteria has been defined. The analysis of similar criteria at application of a method of multicriteria optimization (geometrical check of criteria) has been used. The importance of selections on a number of the indicators of productivity and adaptability to the environmental conditions for successful selection work in order to improve the economically valuable signs of chickpeas has been analyzed.\nKey words: complex selection, multicriteria optimization method, Harrington desirability function, plant height, lower bean attachment height, number of beans, number of grains per plant, weight of grain per plant, number of grains in a bean, weight of 1000 grains.","PeriodicalId":169602,"journal":{"name":"Bulletin of Kharkiv National Agrarian University named after V.V. Dokychaiev. The series “Crop production, selection and seed production, fruit and vegetable growing”","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Kharkiv National Agrarian University named after V.V. Dokychaiev. The series “Crop production, selection and seed production, fruit and vegetable growing”","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35550/visnykagro2019.01.081","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
A comprehensive selection of the best collection sample of chickpeas by the method of multicriteria optimization and by the Harrington desirability function in seven varieties of chickpeas - Cicer arietinum L., C. Reticulatum Labizinsky., C. Judaicum Boiss., C. Bijugum K.N. Rech., C. Pinnatifidum Jaub., C. chorassinicum (Bge) M. Pop., C. yamashitae Kitam by the comparative evaluation of the alternatives by a set of the indicators of resistance to diseases and pests, the number of beans per plant, the number of grains in the bean, the number of grains per plant, the mass of grains per plant, the weight of 1000 grains, plant height, height of the lower bean, protein and oil content has been made.
A set of evaluation criteria has been defined. The analysis of similar criteria at application of a method of multicriteria optimization (geometrical check of criteria) has been used. The importance of selections on a number of the indicators of productivity and adaptability to the environmental conditions for successful selection work in order to improve the economically valuable signs of chickpeas has been analyzed.
Key words: complex selection, multicriteria optimization method, Harrington desirability function, plant height, lower bean attachment height, number of beans, number of grains per plant, weight of grain per plant, number of grains in a bean, weight of 1000 grains.
采用多标准优化法和哈林顿可取性函数法对鹰嘴豆7个品种鹰嘴豆的最佳采收样品进行了综合筛选。, C.犹太Boiss。, C. Bijugum K.N. Rech。, C.裙带菜;, C. chorassinicum (Bge) M. Pop;通过一套抗病虫害、单株豆数、单株粒数、单株粒数、单株粒数、单株粒质量、千粒重、株高、下豆高、蛋白质和含油量等指标对替代品种进行了比较评价。已经确定了一套评价标准。应用多准则优化方法(准则的几何校核)对类似准则进行了分析。为了提高鹰嘴豆的经济价值,分析了选择在生产力和环境条件适应性等指标上的重要性。关键词:复杂选择,多标准优化方法,哈林顿可取性函数,株高,下豆附着高度,豆数,单株粒数,单株粒重,单豆粒数,千粒重。