Evaluation of spring barley yield stability

The purpose of research is to determine the share of influence of factors in the overall variability of barley yield and assess stability using parametric and non-parametric statistical methods in the conditions of the south of the Moscow Region. According to the results of the study (2020-2022), significant contributions to yield variability were identified: environmental conditions - 81.9 %; genotypic characteristics - 7.4 and genotype × environment interaction - 8.2 %. 7 samples (280.7-345.2 g/m2) were classified as exceeding the standard. Evaluation by parametric (bi - regression coefficient; S2dᵢ - deviation from regression; θi - average variance component; θ(i) - GE variance component; Wi2 - environmental valence; σi2 - stability variance; CV - coefficient of variation) and nonparametric (S(1,2,3,6) - rank statistics; NP(i) - non-parametric stability statistics; KR - rank sum) stability indicators allowed us to identify differences in the response of the sample under study to environmental conditions. A high correlation was noted between S(3) and NP(4) (r = 0,90), S(1) and S(2) (r = 0,96), S(6) and NP(4) (r = 0,98), Wi2 and σi2, (r = 1,00), Wᵢ2 and θᵢ (r = 1,00), σ2ᵢ and θᵢ (r = 1,00), Wᵢ2 and θ(i) (r = -1,00), σ2ᵢ, and θ(i) (r = -1,00), θᵢ and θ(i) (r = -1,00). Relationship with productivity in such indicators as S(1), S(2), S(3), NP(1), Wᵢ2, σ2ᵢ, S2dᵢ, CV, θᵢ, θ(ᵢ) was weak, the greatest association was noted with bᵢ (r = 0,60), NP(3) (r = -0,67), NP(4) (r = -0,67), S(6) (r = -0,69), KR (r = -0,71), NP(2) (r = -0,78). Samples with a combination of stability and high yield were identified: Alei (k-31363, Russia), Maximus (k-31366, Russia), Austris (k-31368, Latvia), Povolzhsky Luch (k-31392, Russia).