AMMI and GGE Biplot Analysis for Seed Yield and Oil Content of Sesame (Sesamum indicum L.) Genotypes in Tigray Northern Ethiopia

Abstract

Seventeen sesame genotypes were tested at ten environments in Tigray, Northern Ethiopia during 2014-2015 cropping seasons. Randomized Complete Block Designs (RCBD) with three replications was used in the study. According to the GGE bi-plot different sesame growing environments grouped into two mega-environments: The first mega-environment contained the favorable environments Dansha area with a vertex G4 and Sheraro area with winner G3 and the second environment included medium to low environments E2 (Humera-2), E4 (Dansha-2), E5 (Sheraro-1), E7 (Wargiba-1), E8 (Wargiba-2) and E9 (Maykadra) for seed yield. Three mega-environments identified for oil content: The 1st environment contained G12, G7 and G2 in the mega-environment group of Humera, Dansha and Gendawuha, The 2nd environment, Sheraro location contained G9 and the 3rd environment Wargiba, was containing G17. G1 (HuRC-4) identified as an “ideal” genotype and E1 (Humera-1) also identified as an ideal environment the most representative of the overall environments and the most powerful to discriminate genotypes. The multivariate approaches AMMI and GGEbi-plot were better for partitioning the GEI into the causes of variation. According to different stability models, G1, G7, and G3 were high yielder and the most stable both in terms of seed yield and oil content. Moreover, showed yield advantages over the released and local varieties. The stable genotypes recommended for wider areas while G14 and G4 were for specific favorable environments Sheraro and Dansha, respectively.

Response of Yield Traits and its Components to Sesame Genotypes for Different Plant Distributions

“…Misleading contributed to the production of more oily cells, and thus percentage of oil increased, and this result was in line with [9]. The plant was more efficient than the rest of the other compositions used in the study and obtained consistent results [6], and the interaction treatment (variety Wadaa and first plant distribution) recorded highest arithmetic mean for trait amounted to (50.00)%. Table 6.…”

“…because the local cultivated cultivar is characterized by low yield, low percentage of oil in its seeds, as well as poor resistance to fusarium wilt disease and capsule disintegration, [3] when studying three varieties of sesame showed superiority of the cultivar (NCRLBEN-O32) by registering the two highest averages of the number of capsules per plant and number of seeds in per capsule and excelled. The cultivar (M01-NCRLBEN) in total seed yield showed [4], in an experiment on several varieties of sesame that the cultivar (Nigerian) gave highest arithmetic average of number of capsules per plant and concluded [5], in an experiment carried out on two cultivars of sesame outperformed the cultivar (Ht-2) by giving it highest averages for number of capsules per plant, number of seeds per capsule, seeds thousand weight and total seed yield [6]. In their experiment in which they used six cultivars of sesame, cultivar (Hurc-4) achieved highest average oil content In addition to that, the importance of vegetative distribution lies in the fact that it gives the ideal engineering space for the plant so that it achieves the maximum efficiency of interception of solar radiation, in addition to reducing competition between plants for light and nutrients in the soil.…”

AMMI analysis of genotype × environment interaction on grain yield of sesame (Sesamum indicum L.) genotypes in Iran

“…AMMI is one of the best analyses for testing genotype stability. According to Kindeya et al [25], the AMMI model and GGE biplot are the best methods to assay the GEI. In this study, our analysis of 15 sesame genotypes on four test locations in two years for the grain yield trait gave similar F-test results to the AMMI analysis performed by Gebeyehu et al [16].…”

Assessment of Genotype X Environment Interaction and Seed Yield Stability in Sesame (Sesamum indicum L.) Using AMMI Analysis

“…The AMMI analysis is regarded as one of the most effective approaches for evaluating genotype stability and GEI [3,21]. In the current study, after individual ANOVA, genotypes were subjected to stability analysis using AMMI model.…”