Abstract

The article gives a comprehensive assessment of 5 varieties (Lada, Agata, RIMA, Arcea, Maestro) and 5 breeding lines of spring soft wheat according to the yield and adaptive properties. The studies were carried out in 2018-2022 in the conditions of the Ryazan region on dark gray forest soil. The potential for productivity and adaptability was determined according to the method of L. A. Zhivotkov et al., the degree of yield variation (СV, %) – according to B. A. Dospekhov, the yield range (d, %) – according to V. A. Zykin, index of stability (L') – according to A. A. Gryaznov, the indicator of the level of stability of the yield of a variety (PUSS) – according to E. D. Nettevich et al., ecological plasticity (bi), stability of yield (σ2d) and index of environment conditions (Ij) – according to S. A. Eberhart and W. A. Russell. It has been established that on average for 2018-2022 the highest yield potential was noted in the varieties Arcea (5.19 t/ha), Maestro (5.69 t/ha) and line 268 (5.33 t/ha). It was revealed that the productivity of the Maestro variety and line 268 was higher than the average varietal both under favorable conditions of 2022 (Ij = +6.2) – by 16.3 and 9.7 %, and under unfavorable dry conditions of 2019 (Ij = -5.4) – by 22.0 and 24.5 %, respectively. The productivity of the Arcea variety under conditions of severe drought was 99.1 % of the average varietal, which indicates good adaptive properties. As the result of the assessment by the linear regression coefficient (bi), it has been established that the varieties RIMA, Agata, Lada, Arcea actively respond to the improvement of external environmental factors (bi = 1.23; 1.35; 1.43; 1.52, respectively). According to the results of a comprehensive assessment of adaptive properties, the Maestro variety and line 898 were distinguished, which were characterized by a relatively stable yield (СV – 9.3 and 5.2%; σ2d – 7.71 and 9.09; L' – 6.12 and 9.44; PUSS – 209.6 and 176.5 %, respectively) and high adaptability to environmental conditions (CA – 1.17 and 1.01, respectively).

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