Use of generalized estimates to predict the diseases resistance of wheat varieties

Abstract

The article uses generalized estimates to predict the resistance of soft wheat varieties grown in the Republic of Uzbekistan to diseases such as Yellow Rust, Brown Rust and Flour Dew. In this regard, the classification of wheat varieties according to disease resistance, the division of features into intervals according to class similarity and class distinction, latency of features, calculation of weights of features and using them to calculate generalized estimates of wheat varieties. As a result, a number of features play an important role in predicting the disease resistance of wheat varieties, and some do not. The article also found that the new features that occur when some traits are latent with other traits play an important role in predicting disease resistance of wheat varieties. As a result, representatives of disease-resistant soft wheat varieties with high generalized estimates were identified.