The influence of technologies of postharvest processing on technological potential of grain of soft wheat of Kazakhstan

Soft wheat is the main crop of Kazakhstan which is the basis of agrarian sector. Ensuring food security of the country and one of the main income items from export, soft wheat constantly demands researches in the direction of increase of techno-logical potential (TP). One of the main stages in the system of increasing TP are the technologies of postharvest processing directed on the reduction in the shortest possible time with the minimum ex-penses in the condition of grain, resistant for stor-age, by application of various ways of cleaning, drying, active aeration. In V.V. Volynkin's works, et al, V.M. Mogilnitsky and A.N. Perekopsky, V.I. Khilko and E.S. Petrenko, D.Yu. Danilov and A.Yu. Ryndin the results of researches on the im-provement of various operations of postharvest processing of grain, V.D. Galkina, et al are pre-sented to A.P. Tarasenko, S.K. Manasyana et al mathematical models of normalization of grain lots are developed. According to V.V. Volynkina, un-timely and low-quality cleaning leads 15—30 % of grown-up crop to loss, and costs of postharvest processing of grain make to 30 % in prime cost of the final product; A.P. Tarasenko, V.I. Orobinsky, O.V. Merchalova defined the impact of applied technologies of postharvest processing on the qual-ity of cleaning of grain lots, i.e. on the mass of 1 000 grains and viability of seeds. At the same time, in researches the influence of applied technologies of postharvest processing on the main indicators of the technological advantage (TA) of grain of soft spring-sown wheat were not studied For the defini-tion of impact on the indicators of TA of grain of soft spring-sown wheat defined in the previous re-searches as the grains which are most objectively reflecting the state, technologies of postharvest processing researches on studying of change of indicators of TA before drying and cleaning in vitro and offered complex indicator of TP as a result of production researches that allowed to receive mathematical models of dependence of an indicator of TP on operations of drying and cleaning were conducted.