S. AMIEN, H. MAULANA, D. RUSWANDI, and S. NURJANAH
SUMMARY
Multilocation testing plays a vital role in the release of new high-yielding cultivars of stevia (Stevia rebaudiana B.) in Indonesia. In stevia, the leaf yield potential demonstrates an important characteristic for superior genotype selection. The study sought to identify the effects of genotype by environment interactions (GEI) on stevia yield and select the genotypes with stable yield resulting from radiation and hybridization through AMMI and GGE biplot analyses under three growing environments. The experiments took place in three locations, namely, Bandung, Sumedang, and Garut, West Java, Indonesia, consisting of a randomized complete block design (RCBD), with three replications. The combined analysis of variance (ANOVA) attained the genotype by environment interactions measurements. Calculating yield stability used the additive main effects and multiplicative interaction (AMMI), AMMI stability value (ASV), genotype stability index (GSI), and genotype plus genotype by environments (GGE) biplot measurements. The results revealed significant effects of environments (92.38%), followed by GEI (5.20%), and genotype effects (2.43%) of the total variation on stevia yield. The stevia genotypes viz., G11, G27, G2, and G5 gave a higher and more stable yield based on the AMMI-1 biplot. Based on the GGE biplot and the genotypes’ sustainable performances, the stevia genotypes, i.e., G27, G2, G11, G20, and G26, gained selection as stable. The three selected stevia genotypes displayed the highest yields and proved stable in three environments viz., G2 (Tamangwangu EMS mutant number A), G11 (Bogor mutant with gamma ray radiation 5 number C), and G27 (a hybrid from Garut × Bogor-3). These promising genotypes exhibit the potential for further development into new superior stevia genotypes.
Keywords: Adaptability, GEI, multilocations, productivity, West Java-Indonesia
Key findings: Increased stevia leaf yields proved highly influenced by genotypes, environments, and their interactions, where environmental effects contributed 92.38% of the total variation. The use of various stability measures, including AMMI and GGE biplot, helped select three superior stevia genotypes as being stable and high yielding under various environments.
Date published: October 2022
DOI: http://doi.org/10.54910/sabrao2022.54.4.8
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