The current chapter investigates and demonstrates the analytical capabilities of statistical methods in
the development of new varieties of wheat used for the production of pasta. By using examples of
Kostanay, Pavlodar, Akmola, North-Kazakhstan region (NKR) and Aktobe regions, for identifying
significant factors, there were constructed regression equations due to initial factors, on the main
components, according to the panel data. The nature and closeness of the relationship between the
different indicators of grain quality is important to know when developing new varieties of wheat used
for pasta production. Based on the analysis of various regression models, the strengths of the
relationship between the number indicators of the grain quality there was found soft and hard wheat
varieties (Mereke 70, Tselina 50, Ertis 97, Astana 2, Astana, Aktobe39, Baiterek), taking into account
the peculiarities of grain production in this area.
Almaty Technological University, Kazakhstan.
Takeda Pharmaceuticals, Japan.
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