Emebet Takele

Mrs. Emebet Takele


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 February 2022 in CABI Agriculture and Bioscience
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Journal Article
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ETEmebet Takele
Emebet Takele
FMFirew Mekbib
Firew Mekbib
FMFikru Mekonnen
Fikru Mekonnen
Background: Lentil is a multipurpose annual legume crop grown in many environments of Ethiopia and recognized as the second center of diversity in the country. However, there is limited information on genetic variation, association of yield, yield-attributing traits, and protein content of lentil in the country. Therefore, this study was conducted to assess the genetic variability, traits association, direct and indirect effects of yield-related traits and protein content on seed yield of lentil genotypes.Methods: A total of 64 lentil genotypes were evaluated for morpho-agronomic traits and protein content in an 8 × 8 simple lattice design at Debre Berhan Agricultural Research Center in 2018.Results: The analysis of variance displayed significant differences among the genotypes for all traits indicating the existence of variability and potential for selection of the genotypes for desirable traits. High heritability and high genetic advance were observed for seed yield (96.57%, 81.32%), above-ground biomass (79.03%, 57.99%), days to 50% flowering (70.97%, 23.17%), and the number of seeds per pod (69.41%, 38.23%), respectively. High heritability and moderate genetic advance were detected in plant height (62.63%, 19.77%) and protein content (73.2%, 17.13%), respectively. A positive and significant correlations was observed in phenotypic and genotypic levels of seed yield and above-ground biomass (r = 0.90, 0.93), number of seed per pods (r = 0.79, 0.85), number of pods per plant (r = 0.52, 0.64), plant height (r = 0.49, 0.55), harvest index (r = 0.38, 0.45), secondary branches (r = 0.48, 0.56) and protein content (r = 0.24, 0.26), respectively. Above-ground biomass, harvest index, secondary branches, plant height, number of pods per plant, and protein content were exerted positive and direct effect on yield at phenotypic and genotypic level. This suggested that seed yield, above-ground biomass, harvest index, number of pods per plant, number of seed per pod, plant height, secondary branches, and protein content are the most important traits in selection of lentil improvement.Conclusion: The study results showed that the presence of wide range of genetic variations among lentil genotypes with desirable traits in above-ground biomass, harvest index, number of pods per plant, number of seeds per pod, plant height, seed yield, and protein content. This variation among traits could be used to develop varieties through selection and hybridization for lentil seed improvement.

1 January 2024 in Advances in Agriculture
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Journal Article
Open access
ETEmebet Takele
Emebet Takele
NWNigussie Woldecherkos
Nigussie Woldecherkos
DADaniel Admasu
Daniel Admasu
SASimegnew Anley
Simegnew Anley
WZWorku Zikarge
Worku Zikarge
JEJemal Esmaiel
Jemal Esmaiel
Faba beans are leguminous plants that have gained recognition for their significant contributions to sustainable agriculture and climate change mitigation. The experiment was conducted to assess the effect of genotype × environment interaction (GEI) on seed weight stability of faba bean genotypes using 12 genotypes in randomized complete block design with three replications tested at Enewari, Bichena, and Jamma in 2016, 2017, and 2018. The objective of the study is to determine the performance and stability of faba bean genotypes for large seed sizes and comparable seed yield under vertisol areas. The AMMI analyses revealed significant (p < 0.01) differences between genotype and environmental effects as well as genotype‐by‐environment interaction concerning seed yield and seed weight. This indicates the genotypes differently responded to the changes in the test environment or the test environment differentially discriminated the genotypes or both. The analysis of variance for AMMI showed that environment, genotype, and GEI contributed 37%, 26.7%, and 30.4% for seed weight, respectively. The principal components (IPCA 1) and (IPCA 2) explained 54.46% and 20.5% of the interaction, respectively. G4 was identified for their best seed weight with an advantage of 19.9% and 28.1% over the best standard check Hachalu and Dide’a with comparable seed yield. Based on AMMI and ASV stability parameters among the evaluated faba bean genotypes, G4 (EH01078‐4‐3) was the most stable and widely adapted over the studied environments in terms of seed weight and relatively stable and comparable seed yield. Therefore, the identified genotypes G4 (Shewa) were released as new varieties for vertisol areas of the Amhara region and areas with similar agroecology in the country.