Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan
Productivity is an important character in the assembly of new varieties. Multilocation tested is needed to estimate the yield stability of the tested plants. This study aimed to estimate the genotype by environment interactions (GxE), identify the yield stability of the new promising sweet potato genotypes, and identify static and dynamic stability measurement models for sweet potato yields. The research was conducted in three environments in West Java, i.e., Sumedang Regency (729 masl), Bandung Regency (857 masl), and Karawang Regency (24 masl) from January 2017 to July 2018. The field experiment used an augmented design at each location. To estimate the GxE, a combined analysis of variance (ANOVA) was used, while the yield stability was estimated using the parametric (linear regression (bi and S2di), mean variance component (θi), genotypes variance environments (GE) (θ(i)), Wricke ecovalence (Wi2), Shukla variance stability (σ²i), coefficient of variation (CVi), AMMI stability value (ASV)) and non-parametric stability measurements (Huehn (S(i)), Thennarasu (NP(i)), Kang Ranks (KR)), and GGE biplot. The results showed that GxE had a significant effect on the yield with a contribution of 14.17%. Two new sweet potato genotypes were identified as stable and high yields in three environments, they were PR79 and PR126. These genotypes can be recommended as new superior genotypes and as materials for further sweet potato plant breeding programs. NP(2) and θᵢ stability measurements were the static stability models that can recommend the stable genotypes in unfavorable environments, while S(1), S(2), S(3), S(6), NP(1), NP(3), NP(4), KR, CVi, bi, S2di, Wi2, ASV, and σ²ᵢ were the dynamic stability models that can recommend the stable genotypes in favorable environments.
Keywords: GGE biplot, multilocation, non-parametric, parametric, yield stability