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has been cited by the following article:

• TITLE: Forecasting Methods of Agrometeorological Conditions in the Northern Zone of the Republic of Kazakhstan

  AUTHORS: Bakytkan Dauletbakov, Lyazzat Seidakhmetovna Sultangaliyeva, Zhadra Dnimova

  KEYWORDS: Natural and Climatic Conditions, Agricultural Meteorological Changes, Grain Yield, Regression Analysis, Forecasting

  JOURNAL NAME: Agricultural Sciences, Vol.9 No.9, September 30, 2018

  ABSTRACT: This work presents the forecast of quality indicators of wheat from weather conditions in the Northern zone of the Republic of Kazakhstan, obtained on the basis of the correlation of protein and gluten content of grain with an average monthly air temperature and precipitation. The equation obtained by the authors allows estimating the quality of grain with the monthly advance, which is important in the organization of harvesting of grain crops.