The experiment was carried out to access the inter relationship of genotypes in their oil yield with seed yield, oil content and other yield components and to determine cluster of white seeded sesame genotypes and environments based on their oil yield. Seventeen sesame genotypes were tested at six environments in northern Ethiopia during 2015 main season. The experiment was laid out in Randomized Complete Block Designs (RCBD) with three replications across all the environments. Seed yield had a significant and positive correlation (P≤0.01) with number of branches (r = 0.414) and number of capsules (r =0.468). Positive correlation seed yield with number of capsules and number of capsules indicated that better yield can obtain from highly branched plants and high number of capsules because the number of capsules increases with the degree of branching. Seed yield was negative significant correlated with days to maturity (r =-0.500) and flowering time (r = -0.626), significant at (p≤0.05) and (p≤0.01), respectively. The negative association between seed yield and days to flowering and maturity indicated that moisture stress after flowering might have caused relatively a yield reduction in the late maturing genotypes. Whereas, the early flowering and early maturing genotypes can escape the moister stress conditions. Based on the cluster analysis of 17 white seeded sesame genotypes classified in to different four distinct clusters. Cluster II, III and IV had high mean yield, oil content and oil yield than the other clusters. Genotypes grouped in those clusters had also greater genetic divergence important for farther yield, oil yield and oil content improvement program breeding in northern Ethiopia. Sesame growing environments also clustered in to four groups. Environments grouped in Cluster I, II and IV had high seed yield, oil content and oil yield. Hence, environments grouped in those clusters are important for seed yield, oil content and oil yield production improvement program in the study areas.
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.
The experiment was conducted to characterize and evaluate mung bean accessions, to identify diseases, shattering, lodging resistant and suitable for combine harvesting. The accessions sown in a plot area of 2.1 m by 5 m with 1 m, 1.5m between plots and blocks keeping inter and intra row spacing of 40 cm and 10 cm, respectively. 73 entries along with two checks summing up 75 genotypes evaluated at field condition for their yield and yield components characters during 2019 main cropping season using augmented RCBD design without replication. R-software were used to analyze different characters including the descriptive statistics and SPSS20 used to analyze clustering. Mean of different traits days to maturity (76.46±11.21,), shattering(0.93±0.14), lodging (2.71±2.03), root length(21.±5.54), root volume(201.05±43.76), pods/plant (16.81±6.38), nodule number( 16.22±1.96), Seed yield(10.64±4.01), seeds/pod (11.77±2.80) and 100sw(3.26±0.97) was recoded. The accessions recorded different range of parameters; nodule number (0 to71.75), root length (8 cm to 34.5), shattering (0 to 100), lodging (0% to 1-10%), number of seeds/pod (7 to 23), hundred seed weight (1.8 to 3.26 gram), root volume (4.71 to 230.46 CM) respectively this big variation among accessions of different traits helps to promote breeding programme in mung bean. The seed yield of genotypes ranged from ZURD01(3.88) to ILRI6831(19.79) qtha-1. Days to maturity was ranged from 61(ARKEBE) to 103(MEND01) after emergence. Three maturity groups; early (61 to 69days), medium (71 to 79 days) and late maturing (81 to 103days). Mean yield performance; cluster one had the highest mean yield (16.31qtha-1) followed by cluster two (12.43 qtha-1), cluster three (9.8), cluster four (6.65 qtha-1) and cluster five (1.21 qtha-1) respectively. The genotypes grouped in to three clusters based on their maturity and cluster one had the highest mean maturity days (91.74) followed by cluster two (75.97) and cluster three (66.37) respectively. The early, medium and late maturing genotypes recommended for moisture stress (350-500mm), optimum (600-800 mm) and high rain fall (900-2000 mm) areas respectively according to annual rain fall of the agro ecologies. Genotypes with high nodule number, high yielding, diseases resistance, better root length, shattering and lodging resistance will be important for variety development for mechanization, commercial production and further breeding programme.
North western and Western zone of Tigray are the most suitable for agricultural mechanization and investment for different crops such as sesame, cotton, sorghum, Mungbean and other. Now days different investments and agro-industries are emerging to consume and process the agricultural products and this is a good opportunity for the crop producers. This new emerging industrial parks helps to produce quality products, value-add process, to get reasonable price, to introduce modern agriculture and agricultural mechanization. The Humera type sesame is one of the branded white seeded sesame in the world, meets the world criteria; it has high demand in the world market for different purposes. In northern Ethiopia, sesame is producing purely organic and it is very essential for different international and domestic purposes. Humera agricultural research Center released different crop varieties under wide commercial production in different agro-ecologies of Ethiopia such as sesame; Setit-1(2011), Setit-2 (2016), Setit-3 (2017), Humera-1 (2011) and Mungbean (Arkebe, 2014), Okra (Bamya-Humera in2016), Tomato (Tekeze-1, 2016) for low land areas of northern Ethiopia and other similar agro-ecology of the country. Those released crop varieties are under wide commercial production and small-scale farmers in northern Ethiopia and producing for export, agro-industrial purposes and local consumption.
Ethiopia is one of the major producers of sesame in sub-Saharan Africa, and Ethiopian sesame particularly the whitish Humera type is among the highest quality in the world. However, the yield is lower than some of the producing countries due to many factors including low yielding varieties and bacterial blight disease severities. This study was conducted with the objective of evaluating sesame genotypes for yield and bacterial blight disease resistance during 2017/18 -2018/19 main cropping seasons at Dansha, Ethiopia. Sixteen sesame genotypes were evaluated with one local variety in randomized complete block design (RCBD) with three replications under hot spot area for bacterial blight disease infection. There was significant (P < 0.05) difference among the genotypes for yield, yield-related traits and bacterial blight disease severity. Higher seed yield was recorded in genotype WARC-063 (716.2 kg) with a mean yield advantage of 24.3% over the standard check Humera-1 whereas the lowest seed yield was ABOUT THE AUTHORS Weres Negash Golla (Mr) is a researcher in Tigray Agricultural Research Institute, Humera Agricultural Research Center. He has MSc in plant pathology from Mekelle University, Ethiopia. His research interest focuses on plant pathology, plant breeding, agronomy and agricultural economics.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.