Open AccessADAPTIVE CAPACITY AND STABILITY OF BREEDING POPULATIONS OF RED CLOVER UNDER CONDITIONS OF THE KIROV REGION
Author(s) -
Ol'ga Onuchina,
Irina Korneva
Publication year - 2020
Publication title -
adaptivnoe kormoproizvodstvo
Language(s) - English
Resource type - Journals
ISSN - 2222-5366
DOI - 10.33814/afp-2222-5366-2020-4-30-38
Subject(s) - population , biology , stability (learning theory) , mathematics , zoology , agronomy , demography , machine learning , sociology , computer science
The results of the assessment of breeding populations of red clover according to the parameters of adaptive capacity and stability of the characteristic "yield of the dry mass" are presented. The experiments were laid on two types of soils, contrasting in the content of H+ ions и Al3+ ions. The meteorological conditions also significantly varied (drought in 2016 and over wetting in 2017). Parameters of adaptive capacity and stability of populations, environmental parameters as the base for the selection were counted according to A.V. Kilchevsky and L.V. Khotyleva method, regression coefficient of the genotype on the b1 environment was counted according to S.A. Eberhart and W.A. Russell method. Statistically high general adaptive capacity (GAAi = 3.10 t/ha), stability (σ2САСi = 0.64; Sgi = 6.68%) and the greatest breeding value (BVGi = 8.63) were identified in the tetraploid standard Kudesnik. Picked out, promising for adaptive breeding, diploid populations SGPA-53 and P-4/03, showing at an average GAAi (0.26 and –0.07 t/ha, respectively) the high stability (σ2CACi = 0.32–0.66; Sgi = 6.48–8.87%) and the breeding value (BVGi = 5.74–6.42). It is of interest to hybridize a low-productive (GAAi = –1.14 t/ha), but the most stable (σ2CACi = 0.08; Sgi = 3.62%, Kgi = 0.14) population P-15k. Correlation analysis revealed no significant relation between GAAi and stability parameters, which does not exclude the possibility of combining high productivity and environmental sustainability in one variety. A statistically high relation between the parameters Sgi and σ2CACi, Sgi and Kgi, (r = 0.86), bi and σ2CACi, bi and Kgi (r = 0.79) was established, indicating that these characteristics provide relatively close information on the population stability. The stress alumina background in 2017 and the medium acid ground (Sek – 40.88 and 35.33%; Pk – 0.37 and 0.32, respectively) were characterized by the highest differentiating ability and predictability.