ArticleFrontiers in genetics2022
Ecological niche modelling as a tool to identify candidate indigenous chicken ecotypes of Tigray (Ethiopia).
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Low-pass whole-genome sequencing reveals genomic diversity and ecotype-specific adaptation in indigenous Tigrayan chickens.Scientific reports · 2026Article
- Integrated environmental and genomic analysis reveals the drivers and genetic mechanisms of agro-climatic adaptation in geese.BMC genomics · 2026Article
- From least concerned to endangered? An integrated approach to determine the distribution, suitable habitat, and future of Dryophytes immaculatus.BMC zoology · 2026Article
- Molecular weight-based profiling of sperm proteins and their association with semen quality in Kokok Balenggek roosters.Journal of advanced veterinary and animal research · 2025Article
- Projecting the impact of climate change on honey bee plant habitat distribution in Northern Ethiopia.Scientific reports · 2024Article
- Landscape genomics reveals regions associated with adaptive phenotypic and genetic variation in Ethiopian indigenous chickens.BMC genomics · 2024Article
- The risk status, signatures of adaptation, and environmental suitability of village-based indigenous chickens from certain regions of Limpopo and KwaZulu-Natal provinces of South Africa.Frontiers in genetics · 2024Article
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6 authors.
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Abstract
The Tigray region is an ancient entry route for the domestic chickens into Africa. The oldest African chicken bones were found in this region at Mezber, a pre-Aksumite rural farming settlement. They were dated to around 800-400 BCE. Since then, the farming communities of the region have integrated chicken into their livelihoods. The region is also recognised for its high chicken-to-human population ratio and diverse and complex geography, ranging from 500 to 4,000 m above sea level (m.a.s.l.). More than 15 agro-ecological zones have been described. Following exotic chicken introductions, the proportion of indigenous chicken is now 70% only in the region. It calls for the characterisation of indigenous Tigrayan chicken ecotypes and their habitats. This study reports an Ecological Niche Modelling using MaxEnt to characterise the habitats of 16 indigenous village chicken populations of Tigray. A total of 34 ecological and landscape variables: climatic (22), soil (eight), vegetation, and land cover (four), were included. We applied Principal Component Analysis correlation, and MaxentVariableSelection procedures to select the most contributing and uncorrelated variables. The selected variables were three climatic (bio5 = maximum temperature of the warmest month, bio8 = mean temperature of the wettest quarter, bio13 = precipitation of the wettest month), three vegetation and land cover (grassland, forest land, and cultivated land proportional areas), and one soil (clay content). Following our analysis, we identified four main chicken agro-ecologies defining four candidates indigenous Tigrayan chicken ecotypes. The study provides baseline information for phenotypic and genetic characterisation as well as conservation interventions of indigenous Tigrayan chickens.
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