Evidence map›Paper›PMID 39014189›Full record

ArticleScientific reports2024

Assessing the population structure and genetic variability of Kenyan native goats under extensive production system.

Nelly Kichamu, George Wanjala, Ludovic Toma Cziszter, Péter Strausz, Putri Kusuma Astuti, Zoltán Bagi, Szilvia Kusza

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nelly KichamuCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary.
George WanjalaCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary.
Ludovic Toma CziszterFaculty of Bioengineering of Animal Resources, University of Life Sciences "King Mihai I" From Timișoara, 300645, Timișoara, Romania.
Péter StrauszInstitute of Strategy and Management, Department of Management, Corvinus University of Budapest, Budapest, 1093, Hungary.
Putri Kusuma AstutiCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary.
Zoltán BagiCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary.
Szilvia KuszaCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary. kusza@agr.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indigenous goats are important to many livelihoods. Despite this, they are subjected to indiscriminate crossbreeding. This affects their genetic variability which is needed to survive in current regime of climate change. The study assessed population structure and genetic diversity of Galla and Small East African goats (SEA) using pedigree information. A total of 7384 animals, 5222 of the Galla and 2162 of the SEA breeds, born between the years 1983 and 2022, were utilized. Individuals with known parents were defined as reference population. From the results, the maximum generation traced for Galla and SEA populations was 14.6 and 14.5, respectively. However, only 6 and 5 generations for Galla and SEA were complete. Pedigree completeness increased with the increasing number of generations. The average generation interval (GI) for Galla and SEA was 3.84 ± 0.04 and 4.4 ± 0.13 years. The average increase in the rate of inbreeding per generation for Galla and SEA was 0.04 and 0.05, with the effective ancestors and founders (fa/fe) ratio being same (1.00) for both breeds. Fifty percent (50%) of the genetic variability in the populations was contributed by 3 and 1 ancestor for Galla SEA, respectively. The effective population size (Ne) was 5.19 and 4.77 for Galla and SEA. Therefore, the current breeding programs should be changed to avoid future genetic bottlenecks in this population. These findings offer an opportunity to enhance the current genetic status and management of Kenyan native goats and other regions with similar production systems.

Indexed as

Genetic VariationGoatsAnimalsBreedingFemaleGenetics, PopulationInbreedingKenyaMalePedigreePopulation Density

Identifiers

PMID39014189
PMCPMC11252283

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.