Coefficient of repeatability, stability,and adaptability estimates for Psidium guajava S1 progenies via mixed models

Abstract

This study intends to estimate the coefficient of repeatability for traits relating to yield, so as to infer what is the minimum number of evaluations required to identify superior genotypes; to verify adaptability and stability; to predict genetic gains; and to select the best families and in S1 progenies of Psidium guajava. Families were obtained by means of self-fertilization of superior genotypes (full sibs) from the guava tree genetic breeding program of the UENF. The experiment was implemented at the Experimental Station of Ilha Barra do Pomba, in the municipality of Itaocara-RJ. In this case, an experimental randomized block design was used with 18 inbred families, three replicates, and ten plants per plot. Inbred families were evaluated in three harvests regarding fruit weight, number of fruits per plant, and total yield. It was then conducted an analysis of repeatability, adaptability, and stability of genotypes by means of the Selegen/REML/BLUP program. Repeatability values show that the performance of genotypes is constant among measurements, suggesting the need to perform only three evaluations for the selection of superior genotypes. There was agreement on the choice of families 1, 4, 6, and 12 as the most yielded, adaptable, and stable for the traits evaluated.

Adaptability and stability via mixed models in elephantgrass (Cenchrus purpureus (Schumach.) Morrone) varieties for energy purposes

“…These selected individuals can contribute to the advancement of elephant grass breeding, specifically targeting the development of superior cultivars for the north and northwest regions of the state of Rio de Janeiro. Atroch et al (2013), Ambrósio et al (2021, Ambrósio et al (2023) and Vidal et al (2022;2023a) emphasized that stability, adaptability, and yield (HMRPGV) should be the primary criteria for selecting the best genotypes/ varieties/progenies. Therefore, characterizing elephant grass genotypes based on their patterns of adaptability and stability after the selection process for dry matter yield capacity is crucial for selecting genotypes to continue the breeding program.…”

“…This approach incorporates stability and adaptability analyses into a single statistical analysis, accounting for correlated errors within locations and aiding in the selection of superior genotypes. The method offers advantages such as providing genetic values discounted for instability, applicability to any number of environments, and simultaneous consideration of stability and adaptability (Ambrósio et al 2023;Rosado et al 2012;Silva et al 2011).…”