Genetic variability and association of chickpea germplasms (Cicer arietinum L.) for nutritional profiles grown in northern Ethiopia

The study was conducted to assess the extent of genetic variability present among 229 chickpea genotypes for seed protein, iron (Fe) and zinc (Zn) contents using alpha lattice design at Aksum, Northern Ethiopia. The analysis of variance revealed highly significant (p < 0.01) variation for protein, Fe and Zn contents among the studied genotypes, indicating the presence of wide genetic variation that could be utilized through selection. The variation in nutrient density traits were quite high and varied from 19.02% to 28.41%, 15.88 mg kg<sup>-1</sup> to 51.02 mg kg<sup>-1</sup> and 20 mg kg<sup>-1</sup> to 50.19 mg kg<sup>-1</sup> for protein, Fe and Zn concentrations, respectively. Seven genotypes exhibited the highest crude protein content. Three and eleven genotypes were also identified with the greatest Fe and Zn contents, respectively. Improved genotypes contained lower crude protein and mineral contents compared to landraces, indicating that quality traits are being compromised in crop improvement programs. The hierarchical cluster analysis classified the genotypes into seven distinct clusters and the D<sup>2</sup> values suggested the existence of wide genetic divergence among genotypes. Therefore, the wider nutritional quality variation observed in this study indicates the potential of these genotypes as a parent material for the chickpea breeding program and to develop new nutrient dense products for production.

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Journal
Scientific Reports
Published
2025-10-21
DOI
https://doi.org/10.1038/s41598-025-20401-2
Primary Topic
Genetic and Environmental Crop Studies
Type
article
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article

Genetic variability and association of chickpea germplasms (Cicer arietinum L.) for nutritional profiles grown in northern Ethiopia

Addis Abraha, Berhanu Arbissie, Asnake Fikre, Fetien Abay Abera et al.
Scientific Reports
Genetic and Environmental Crop Studies
article

Genetic variability and association of chickpea germplasms (Cicer arietinum L.) for nutritional profiles grown in northern Ethiopia

Addis Abraha, Berhanu Arbissie, Asnake Fikre, Fetien Abay Abera, Yemane Tsehaye
article en

Abstract

The study was conducted to assess the extent of genetic variability present among 229 chickpea genotypes for seed protein, iron (Fe) and zinc (Zn) contents using alpha lattice design at Aksum, Northern Ethiopia. The analysis of variance revealed highly significant (p < 0.01) variation for protein, Fe and Zn contents among the studied genotypes, indicating the presence of wide genetic variation that could be utilized through selection. The variation in nutrient density traits were quite high and varied from 19.02% to 28.41%, 15.88 mg kg<sup>-1</sup> to 51.02 mg kg<sup>-1</sup> and 20 mg kg<sup>-1</sup> to 50.19 mg kg<sup>-1</sup> for protein, Fe and Zn concentrations, respectively. Seven genotypes exhibited the highest crude protein content. Three and eleven genotypes were also identified with the greatest Fe and Zn contents, respectively. Improved genotypes contained lower crude protein and mineral contents compared to landraces, indicating that quality traits are being compromised in crop improvement programs. The hierarchical cluster analysis classified the genotypes into seven distinct clusters and the D<sup>2</sup> values suggested the existence of wide genetic divergence among genotypes. Therefore, the wider nutritional quality variation observed in this study indicates the potential of these genotypes as a parent material for the chickpea breeding program and to develop new nutrient dense products for production.

Scientific ReportsVol. 15(1)
South Carolina State University (US), Ethiopian Institute of Agricultural Research (ET), Mekelle University (ET)
Openalex Percentile: Top 78%
Genetic and Environmental Crop Studies
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Genetic variability and association of chickpea germplasms (Cicer arietinum L.) for nutritional profiles grown in northern Ethiopia — Addis Abraha, Berhanu Arbissie, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS