Grain Yield Performance and Stability Analysis of Sesame (Sesamum indicum L.) Genotypes in Western Tigray, Ethiopia

Baraki, Fiseha; Tsehaye, Yemane; Abay, Fetien

doi:10.9734/jeai/2019/45744

Cited by 5 publications

(4 citation statements)

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“…Out of the all clusters, cluster VI was the largest among all clusters comprising (31) genotypes, followed by cluster III having (26) genotypes, cluster II (25) genotypes, cluster V (23) genotypes, cluster IV (21) genotypes, cluster I (18) genotypes, cluster VII (16) genotypes and cluster VIII had the lowest (5) genotypes suggestion the existence of the high degree of heterogenesity among the genotypes. Similar finding were recorded by Baraki et al [10], Iqbal et al [11], Soundharya et al [12] and Mohanty et al [13] for cluster IV, V and VI containing the highest and lowest number of genotypes though [15] for number of capsules per plant and seed yield per plant in cluster IX and oil content and days to 50% flowering in cluster III.…”

Section: Resultssupporting

confidence: 88%

Study of Genetic Divergence Analysis in Sesame (Sesamum indicum L.)

Singh,

Bisen,

Paliwal

et al. 2023

IJECC

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Aim: To determine the extent of genetic divergence (D2 statistics) present in sesame genotypes for different traits. Study Design: The experiment was conducted in Augmented Block Design (ABD). Place and Duration of Study: The experiment was laid out in kharif 2020 at BSP (Groundnut) Research Farm, JNKVV, Jabalpur (M.P.). Methodology: Total 160 sesame genotypes and 5 checks viz., RT346, PBTil2, GT10, TMV-7 and VRI-1 were used for diversity analysis for twelve quantitative traits for selection of diverse parents. The 165 genotypes were grouped into eight clusters based on the Mahalanobis D2 values following Tocher’s methods. Results: Maximum inter cluster distance (63.235) was exhibited between cluster III and cluster VIII and intra cluster distance (28.509) was in cluster VII. The lowest inter cluster divergence (15.881) was noticed between cluster III and V indicating that the genotypes included in them were closely related. Relative contribution of different characters to total divergence was assessed through comparison of actual D2 values for individual characters over all possible combinations. Cluster III had highest mean value for plant height (126.609), days to flower initiation (34.308), days to 50% flowering (37.462), and oil content (44.715). Cluster VII reported to be days to maturity (91.750), number of primary branches per plant (3.833) and number of secondary branches per plant (2.625) and in cluster V had capsule length (2.651). cluster VI reported for number of capsules per plant (59.484) and seed yield per plant (9.168), number of seeds per capsule (58.533) and thousand seed weight (2.848). It was revealed that number of primary branches per plant (11.32%) followed by oil content (11.06%) and number of capsules per plant (11.05%) contributed maximum to total divergence and minimum contributed by days to flower initiation (3.49%). Conclusion: So, it is expected that crosses between genotypes of cluster III with genotypes of cluster VIII will give rise to high yielding sergeants as high inter cluster distance and those clusters has recorded good mean values can be preferred in selecting germplasm lines for respective traits.

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Section: Resultssupporting

confidence: 88%

Study of Genetic Divergence Analysis in Sesame (Sesamum indicum L.)

Singh,

Bisen,

Paliwal

et al. 2023

IJECC

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“…IPC1 has a stronger effect than IPC2 in the sum of square G Â E; therefore, a factor must be added to IPC1 for the symmetrical discrepancy with IPC2, in such a way that, the role of IPC1 and IPC2 fit in the sum of square G Â E [16]. In this equation, the most stable genotype and test environment have minimum ASV [17].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the GSI for each genotype was computed via the sum of the rank of the genotype grain yield (RY i ) and the rank of the genotype ASV (RASV i ). Any genotype that has the least GSI, was suggested as the most stable genotype [17,18].…”

Section: Discussionmentioning

confidence: 99%

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

Movahedi

Mostafavi

Majid

et al. 2020

Biotechnology & Biotechnological Equipment

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In this study, we investigated the effect of genotype Â environment interaction (GEI) on the grain yield of 15 different sesame genotypes on four test areas (Arak, Birjand, Karaj and Shiraz) in two years (2017-2018). We observed significant differences in all sources of combined variance analysis. The interaction items in AMMI (additive main effects and multiplicative interactions) analysis of variance were divided into three parts, in which the interaction principal components IPC1 and IPC2 items justified about 85% of interactions. Also, IPC2 and residual items were non-significant. Our experiments showed that the superior genotypes were G8 > G13 > G9 > G10 > G15 > G14 > G7. The labile locations were Karaj > Birjand > Arak > Shiraz. Furthermore, G4, G1, G13, G8 and G10 (G4 > G8 > G9 > G10 > G13 > G6, respectively) had the least GEI concerning IPC1 vs. grain yield (IPC1 vs. IPC2, respectively). The recommended genotypes for each region include G9, G2, G3 and G12 for Arak and Birjand; G7, G11 and G14 for Karaj; and G10, G8, G4 and G13 for Shiraz. According to the low environmental impact and the proximity of the IPC values of Shiraz, Arak and Birjand environments, Arak can be considered as the mega-environment for these three locations. The stable genotypes with higher general durability consisted of G4 > G6 > G1 > G2. Based on the AMMI stability value (ASV) and genotype selection index (GSI), Jirouf 13 (G4), Darab 14 (G8), Safi Abad 1 (G9), Ahwaz Local Cultivar (G10) and Isfahan Local Cultivar (G13) were superior genotypes about grain yield and GEI impact, and can be recommended for future investigations.

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“…Some of the stability statistics correlates to each other while the others strongly contrasts to each other. These realities makes genotypes selection very di cult and to simplify this di culty a total rank of the stability measures (Baraki et al, 2019) and an average rank sum (ARS) of the stability statistics groups is taken in to consideration (Pour-Aboughadareh et al, 2023). The AMMI based stability statistics recognized G15, G1 and G11 whereas the WAAS selected G9, G11 and G15 as the top three stable genotypes.…”

Section: Yield Stability Of Sun Ower Genotypesmentioning

confidence: 99%

Identification of adaptable sunflower (Helianthus annuus L.) genotypes using yield performance and multiple-traits index

Baraki

Gebregergis

Belay

et al. 2023

Preprint

Self Cite

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Sunflower is the most important oil crop ranked as fourth edible oil in the world. The study was conducted in Northern Ethiopia during 2017–2019 cropping seasons using randomized completely block design with three replications. The objective was to decipher the genotype-by-environment interaction (GEI) in multi-environment trials (MET) and identify adaptable sunflower genotypes. Combined ANOVA, AMMI ANOVA and Eberhart and Rusell regression were analyzed, and GGE bi-plots, AMMI1 and AMMI2 bi-plots, Principal component Analysis (PCA), multi-trait genotype–ideotype distance index (MGIDI), correlation network plot for sunflower traits were sketched. AMMI stability measures, Best Linear Unbiased Prediction (BLUP) based indexes; parametric and non-parametric statistics were computed using R-statistical software. In the AMMI ANOVA the main effects of the environment (E) (54.18% SS), genotype (G) (16.9% SS) and GEI (23.50% SS) were significant (p < 0.001). The genotypic Likely-hood Ratio Test revealed significant for all traits. The AMMI bi-plot and the GGE bi-plots selected G10 and G2 as the most adaptable genotypes. CV, HMGV, RPGV, HMRPGV, Pi, GAI, KRS, S(3) and S(6) also identified G10 as the most stable genotype. Based on the MGIDI, G10 (MGIDI = 1.45) and G5 (MGIDI = 2.19) are selected and these genotypes are recommended for further cultivation in Tigray.

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Grain Yield Performance and Stability Analysis of Sesame (Sesamum indicum L.) Genotypes in Western Tigray, Ethiopia

Cited by 5 publications

References 0 publications

Study of Genetic Divergence Analysis in Sesame (Sesamum indicum L.)

Study of Genetic Divergence Analysis in Sesame (Sesamum indicum L.)

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

Identification of adaptable sunflower (Helianthus annuus L.) genotypes using yield performance and multiple-traits index

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