Evidence map›Paper›PMID 30850827›Full record

ArticlePoultry science2019

Phenotypic and morphometric differentiation of indigenous chickens from Kenya and other tropical countries augments perspectives for genetic resource improvement and conservation.

Newton O Otecko, Irene Ogali, Said I Ng'ang'a, David H Mauki, Stephen Ogada, Grace K Moraa, Jacqueline Lichoti, Bernard Agwanda, Min-Shen Peng, Sheila C Ommeh and 1 more

Abstract read
In one paragraph

Article in Poultry science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Biometric Characterization of the Portuguese Autochthonous Hens Breeds.Animals : an open access journal from MDPI · 2021
    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

11 authors.

Newton O OteckoYunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Irene OgaliInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.
Said I Ng'ang'aYunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
David H MaukiYunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Stephen OgadaInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.
Grace K MoraaInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.
Jacqueline LichotiDirectorate of Veterinary Services, State Department of Livestock, Ministry of Agriculture, Livestock and Fisheries, Nairobi 00625, Kenya.
Bernard AgwandaDepartment of Zoology, National Museums of Kenya, Nairobi 00100, Kenya.
Min-Shen PengYunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Sheila C OmmehInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.
Ya-Ping ZhangYunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indigenous chickens at the Swahili coast and other traditional migratory corridors in Kenya represent important populations that are inconclusively characterized. Using a comprehensive dataset of Kenyan indigenous chickens and additional mined data of chickens from 8 African and 5 Asian countries, we performed univariate and multivariate assessments to uncover the underlying phenotypic and morphometric variability. Kenyan indigenous chickens expressed differentiation of several qualitative and quantitative traits, both among different counties in the Swahili coast, and among coastal, western, and northern migratory corridors. There was a substantial population stratification of these chickens, particularly distinctive clustering of chickens from Marsabit, Lamu, and Kilifi counties. The pooled dataset further clarified a closer phenotypic and morphometric proximity of chickens within different geographical regions. We additionally revealed a preponderance of bantam and rumpless traits to hot and humid locales, and feathered shanks to cooler regions. Currently, most chicken breeding programs in developing countries rely on phenotypic and morphometric properties. Hence, the high chicken diversity and population stratification observed in our study, possibly shaped by natural and artificial selective pressures, reveal opportunities for complementary phenotypic and genotypic assessments to identify resources for effective breed improvement and conservation strategies of indigenous chickens in the tropics.

Indexed as

AnimalsChickensFemaleKenyaMalePhenotypeTropical ClimatechickenindigenousKenyamorphometricphenotypic

Identifiers

PMID30850827
PMCPMC6591685

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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.