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Abstract Crop wild relatives are species can contribute valuable traits. The study characterized the morphological characteristics of wild sesame plants in their niche during 2018/19. Morphological characterization of 27 wild sesame executed. Data analysis was executed using R and Python programming languages. Seeds per locule, plant height, length of capsule bearing zone, height to the first capsule, leaf length showed non-significant (P

Black oilseed crops are rich in diverse phenolic compounds and have excellent antioxidant activities, as reported in traditional Chinese medicine. Testa (seed coat) and peeled seeds (cotyledon, embryo, and other structures) are the seed's crucial components, contributing to the variation in phytonutrient, phenol content, bioactive component, and protective and pharmacological effects. However, comprehensive and comparative information on total phenol, flavonoid, antioxidant, and metabolic profiles in black seed testa and peeled sesame, soybean, peanut, and rapeseed seeds is rare. Here, we investigated the metabolic profiles, phenolic contents, and antioxidant activities of four black oilseed crop testas and peeled seeds. This study revealed that testa has higher total phenol, flavonoid, and antioxidant activities than peeled seeds. A total of 1847 metabolites were identified across all samples and categorized into 17 major classes: flavonoids (20.02%), phenolic acids (15.15%), lipids (11.47%), amino acids and derivatives (9.36%), alkaloids (7.47%), organic acids (5.79%), terpenoids (5.68%), lignans (5.57%), saccharides (4.27%), and nucleotides and derivatives (4.17%) among the top ten. Primary class metabolites such as amino acids, saccharides, and vitamins were higher in the peeled seeds than in the testa, signifying the role of energy reservoirs and nutritive potential. However, flavonoids, phenolic acids, coumarins, chromones, lignans, terpenoids, tannins, organic acids, and lipids were abundant in the testa. Interestingly, the diversity and content of secondary metabolites were more abundant in the testa than in the peeled seeds of each crop, explaining their potential for phenol content, bioactivity, antioxidant activity, and pharmacological potential. The bioactivity of peeled seeds and testas may be associated with the phytochemical composition and content of flavonoids, phenolic acids, terpenoids, alkaloids, lipids, terpenoids, lignans, amino acids, and saccharides. Therefore, according to our results, peeled seeds offer higher nutritional value, and the testa has medicinal and protective properties. This study provides insights into the variations in phytochemical composition, phenolic content, and antioxidant activity of testa and peeled black sesame, soybean, peanut, and rapeseed seeds for further application of oilseeds in food products and to maximize nutritional benefits.

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

Sesame (Sesamum indicum L.) plays a crucial role in Ethiopian agriculture, serving both subsistence and commercial purposes. However, our understanding of the extensive genetic diversity and population structure of Ethiopian sesame remains limited. To address this knowledge gap, we genotyped 368 Ethiopian sesame germplasms, categorizing into four distinct breeding groups: Accessions, landraces, improved varieties, and wild types, using a comprehensive set of 28 polymorphic markers, including 23 simple sequence repeat (SSR) and five Insertion-Deletion (InDel) markers. These markers ensured robust genomic representation, with at least two markers per linkage group. Our results unveiled substantial genetic diversity, identifying a total of 535 alleles across all accessions. On average, each locus displayed 8.83 alleles, with observed and expected heterozygosity values of 0.30 and 0.36, respectively. Gene Diversity and Polymorphic Information Content (PIC) were recorded at 0.37 and 0.35. The percentage of polymorphic loci varied significantly among breeding groups, ranging from 8.00% to 82.40%, indicating high diversity in accessions (82.4%), moderate diversity in improved varieties (31.20%) and landraces (29.60%), and limited diversity in wild types (8.00). Analysis of Molecular Variance (AMOVA) results emphasized significant genetic differentiation among populations, with substantial diversity (P ​

This study focuses on optimizing chlorophyll extraction techniques, in which leaf discs are cut from places on the leaf blade to enhance chlorophyll concentration in sesame (Sesamum indicum L.) leaves. Thirty sesame genotypes, categorized into light green (LG), middle green (MG), and deep green (DG) pigment groups based on leaf coloration, were selected from a larger pool of field-grown accessions. The investigation involved determining optimal Soil Plant Analysis Development (SPAD) value index measurements, quantifying pigment concentrations, exploring extraction solvents, and selecting suitable leaf disk positions. Significant variations in chlorophyll content were observed across genotypes, greenness categories, and leaf disk positions. The categorization of genotypes into DG, MG, and LG groups revealed a correlation between leaf appearance and chlorophyll content. The study highlighted a consistent relationship between carotenoids and chlorophyll, indicating their role in adaptation to warm environments. An examination of leaf disk positions revealed a significant chlorophyll gradient along the leaf blade, emphasizing the need for standardized protocols. Chlorophyll extraction experiments identified DMSO and 96% ethanol, particularly in those incubated for 10 min at 85 °C, as effective choices. This recommendation considers factors like cost-effectiveness, time efficiency, safety, and environmental regulations, ensuring consistent and simplified extraction processes. For higher chlorophyll extraction, focusing on leaf tips and the 75% localization along the sesame leaf blade is suggested, as this consistently yields increased chlorophyll content. Furthermore, our examination revealed significant anatomical variations in the internal structure of the mesophyll tissue leaves between deep green and light green sesame plants, primarily linked to chloroplast density and pigment-producing structures. Our findings, therefore, provide insightful knowledge of chlorophyll gradients and encourage the use of standardized protocols that enable researchers to refine their experimental designs for precise and comparable chlorophyll measurements. The recommended solvent choices ensure reliable outcomes in plant physiology, ecology, and environmental studies.

This survey aimed to investigate the extent of insect infestations, associated losses, and insect species abundance in farm-stored chickpea seeds across five chickpea growing districts in Ethiopia. Despite being the largest producer, consumer, and exporter of chickpea in Africa, insect pest infestations have caused significant losses to Ethiopia's chickpea industry. Results showed that Callosobruchus chinensis (L.) was the most prevalent insect species, followed by Sitophilus oryzae (L.) and Tribolium confusum (J. du Val). The insect pests infested both local and improved chickpea varieties, and traditional containers and polypropylene bags were used for storage. The percentage of insect-damaged seed ranged from 4.61% to 14.48%, while the seed weight loss ranging from 1.13% to 4.55%. The range of seed germination percentages was from 65% to 88%, with a mean rate of 71%. These losses significantly affect the market value of the crop as grain and its use as seed, affecting farmers' income and food security. Therefore, it is crucial to develop effective solutions to prevent the loss of farm-stored chickpea in Ethiopia.

Abstract Background Sesame is a rare example of non-model and minor crop for which numerous genetic loci and candidate genes underlying features of interest have been disclosed at relatively high resolution. These progresses have been achieved thanks to the applications of the genome-wide association study (GWAS) approach. GWAS has benefited from the availability of high-quality genomes, re-sequencing data from thousands of genotypes, extensive transcriptome sequencing, development of haplotype map and web-based functional databases in sesame. Results In this paper, we reviewed the GWAS methods, the underlying statistical models and the applications for genetic discovery of important traits in sesame. A novel online database SiGeDiD ( http://sigedid.ucad.sn/ ) has been developed to provide access to all genetic and genomic discoveries through GWAS in sesame. We also tested for the first time, applications of various new GWAS multi-locus models in sesame. Conclusions Collectively, this work portrays steps and provides guidelines for efficient GWAS implementation in sesame, a non-model crop.

Ethiopian subsistence farmers traditionally store their grain harvests, leaving them open to storage pests and fungi that can cause contamination of major staple crops. Applying the most effective strategy requires a precise understanding of the insect species, infestation rates, storage losses, and storage conditions in the various types of farmers’ grain stores. This study did a complete literature analysis on post-harvest pest and management measures with a focus on Ethiopia. The most frequent insect pests of stored cereals in this study were weevils (Sitophilus spp.), the lesser grain borer (Rhyzopertha dominica), rust-red flour beetle (Tribolium sp.), sawtoothed grain beetle (Oryzaephilus sp.), grain beetle (Cryptolestes spp.), Indian meal moth (Plodia interpunctella), and Angoumois grain moth (Sitotroga cerealella). Flour beetles (Tribolium spp.), sawtoothed beetles (Oryzaephilus sp.), flat grain beetles (Cryptolestes pusillus), and some moths have been identified as common stored product pests of stored oil seed, while bruchid beetles (Callosobruchus chinensis) and the moths were reported for pulses. Additionally, the storage pests in Ethiopia under varied conditions caused storage losses of 9–64.5%, 13–95%, 36.9–51.9%, and 2–94.7% in maize, sorghum, chickpeas, and sesame, respectively. To reduce the losses incurred, preventative measures can be taken before infestations or as soon as infestations are discovered. A variety of pest population monitoring systems for harvested products and retailers have been developed and recommended. In this context, reducing post-harvest grain losses is an urgent concern for improving food accessibility and availability for many smallholder farmers in Ethiopia and ensuring the nation’s long-term food security.

Sesame production under irrigation is limited in Ethiopia because of in availability of high yielding varieties, inadequate and inefficient irrigation schemes, and insignificant awareness of producers. This study, comprising 13 sesame genotypes, was conducted around Humera and Werer during 2018 and 2019 under irrigation. The design was randomized completely block design with three replications and the objectives were to develop high yielding genotypes and identify important agronomic traits. Multivariate statistical methods like Additive Main Effect and Multiplicative Interaction (AMMI) model, Principal Component Analysis, Cluster and factor analyses were used. The genotypes (6.22%), environments (42.62) and Genotype × Environment Interactions (25.09%) were statistically (p < 0.001) significant for the agronomic traits. The grain yield in each observation varied from 383 kg/ha to 2044 kg/ha and the grand mean yield was 820.19 kg/ha. The highest mean yield was recorded from G12 (948.6 kg/ha) followed by G4 (938.9 kg/ha) while the lowest was recorded from G8 (703.1 kg/ha). G1, G4, G12, G5, G8, G11 and G13 are identified as unstable genotypes while G2, G3, G6, and G9 are stable genotypes. The genotypes were grouped in to four clusters and cluster-II was characterized as the high yielding cluster and it was also associated with grain yield, pods per plant, branches per plant and thousand seed weight. Branches per plant, pods per plant and thousand seed weight may be most determinant and crucial in developing high yielding sesame varieties. This finding recommends that G4 and G6 are desirable genotypes and can be used for irrigation production.

The experiment was conducted from 2009–2011 cropping seasons. Six mung bean genotypes viz. SML-668, Black bean, Bored, Local Gofa, SML-32 and Local 2-Sheraro were evaluated to early maturing and high yielding genotypes and the design was RCBD with three replications. The combined analysis of variance reviled that there was highly significant variation (p

Ethiopia is one of the famous and major producers of sesame in sub-Saharan Africa, and Ethiopian sesame is among the highest quality in the world. The experiment was conducted in Northern Ethiopia for three growing seasons (2013–2015) under a rain fed condition with the objective of identifying high-yielding genotypes and their agronomic traits. The experiment consisted of twelve genotypes laid down in randomized complete block design with three replications. The genotype, year, and genotype × year interaction components showed statistically highly significant variation (p