Complex selection of the best collection of chick-peaby method of multi-criterian optimization anh Harrington's reliable function

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.