Morphobiometrical characteristics of indigenous chicken ecotype populations in Rwanda

Habimana, Richard; Ngeno, Kiplangat; Mahoro, Janvier; Ntawubizi, Martin; Shumbusho, Félicien; Manzi, Marcela de Pinho; Hirwa, C A; Okeno, T.O.

doi:10.1007/s11250-020-02475-4

Cited by 9 publications

(9 citation statements)

References 53 publications

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“…Under resource-poor settings, phenotypic approach is fundamental in livestock management because it is simple, fast, and cost-effective [ 18 ]. Also, morpho-biometrical characterisation (qualitative and quantitative traits) enables proper selection of elite animals, breeding, conservation and sustainable use of indigenous animal resources [ 19 , 20 ]. Qualitative physical traits such as plumage colour, skin colour, shank colour, eye colour, helmet shape, wattle possession and skeleton structure are useful to farmers and breeders for identification and classification of Guinea fowl and to meet consumer preferences for specific phenotypic traits [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Multivariate characterisation of morpho-biometric traits of indigenous helmeted Guinea fowl (Numida meleagris) in Nigeria

et al. 2022

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This study was conducted to characterise phenotypically helmeted Guinea fowls in three agro-ecologies in Nigeria using multivariate approach. Eighteen biometric characters, four morphological indices and eleven qualitative physical traits were investigated in a total of 569 adult birds (158 males and 411 females). Descriptive statistics, non-parametric Kruskal–Wallis H test followed by the Mann–Whitney U and Dunn-Bonferroni tests for post hoc, Multiple Correspondence Analysis (MCA), Univariate Analysis, Canonical Discriminant Analysis, Categorical Principal Component Analysis and Decision Trees were employed to discern the effects of agro-ecological zone and sex on the morphostructural parameters. Agro-ecology had significant effect (P<0.05; P<0.01) on all the colour traits. In general, the most frequently observed colour phenotype of Guinea fowl had pearl plumage colour (54.0%), pale red skin colour (94.2%), black shank colour (68.7%), brown eye colour (49.7%), white earlobe colour (54.8%) and brown helmet colour (72.6%). The frequencies of helmet shape and wattle size were significantly influenced (P<0.01) by agro-ecology and sex. Overall, birds from the Southern Guinea Savanna zone had significantly higher values (P<0.05) for most biometric traits compared to their Sudano-Sahelian and Tropical Rainforest counterparts. They were also more compact (120.00 vs. 110.00 vs. 107.69) but had lesser condition index (7.66 vs. 9.45 vs. 9.30) and lower long-leggedness (19.71 vs. 19.23 vs. 9.51) than their counterparts from the two other zones. Sexual dimorphism (P<0.05) was in favour of male birds especially those in Southern Guinea Savanna and Sudano-Sahelian zones. However, the MCA and discriminant analysis revealed considerable intermingling of the qualitative physical traits, biometric traits and body indices especially between the Sudano-Sahelian and Tropical Rainforest birds. In spite of the high level of genetic admixture, the Guinea fowl populations could to a relative extent be distinguished using wing length, body length and eye colour. Generally, the birds from the three zones appeared to be more homogeneous than heterogeneous in nature. However, further complementary work on genomics will guide future selection and breeding programs geared towards improving the productivity, survival and environmental adaptation of indigenous helmeted Guinea fowls in the tropics.

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Section: Introductionmentioning

confidence: 99%

Multivariate characterisation of morpho-biometric traits of indigenous helmeted Guinea fowl (Numida meleagris) in Nigeria

et al. 2022

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“…For most animal species, there are phenotypic variations due to their adaptation to agro-ecological zones ( Loba et al, 2021 ). As for morpho-biometric characterization (qualitative and quantitative characters), it allows selection of elite animals, breeding, conservation and sustainable use of indigenous animal resources ( Habimana et al, 2021 ; Sheriff et al, 2021 ). The morphometry of a species can be determined using morphological measurements on the living animal, on the carcass, on the length of the bones and even on the width of the muscles ( Loba et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Phenotypic and morphometric characterization of domestic geese raised in northern Benin

Azalou,

Assani,

Kpomasse

et al. 2024

Poultry Science

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“…FAO, (2012) opined that the important step towards such improvement is to use their phenotypic characteristics, such as physical appearance and body conformation parameters which could be measured quantitatively and qualitatively. Also understanding the diversity of the quantitative and qualitative traits of the WAD goats especially in indigenous populations that are adapted to their environment is very important, as those phenotypic characteristics could assist in proper selection of better animals for sustainable use, elite breeding and future conservation of their genetic resources where necessary (Habimana et al, 2020;Sheriff et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

West African Dwarf goat populations of tropical rainforest zone: application of multivariate analysis tools on their characterization using morpho-biometric traits

Okoro

Chikereuba

Iheanacho

et al. 2023

Trop Anim Health Prod

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This research was carried out to characterize the West African Dwarf (WAD) goats using multivariate approach based on their morpho-biometric traits in the Tropical Rainforest Zone of Nigeria. Data on four physical qualitative traits, six morphology indicators and nine morphological characters were generated from 279 goats. Descriptive statistics, non-parametric analysis and one-way approach of ANOVA with post hoc tests, Discriminant Analysis (Canonical), Principal Component Analysis (Categorical) and Regression Tree analysis were employed to discern the effects of location and sex on the parameters, as well as characterize the goats. The frequencies of the qualitative traits show black coat colour predominated (60.2%) over other coat colours, plain colour predominated (75.3%) over other colour patterns, straight horns (38.1%) predominates over other horn shape and beards presence (66.7%) predominated over non-beard presence amongst the goats in terms of locations and sexes.Location and age were signi cantly affected on the biometric characters (P < 0.05 and P < 0.001) with goats from Enugu having higher values than other states, while only HL was affected signi cantly by sex (P < 0.05). The morphological indicators were not signi cant affected by location and sex (P > 0.05 and P > 0.001), while age was signi cant. The discriminant analysis revealed a sparse, non-intermingling populations for the physical traits, biometric characters and body indices implying they are different distinct populations from each other. Generally, the goat populations could be characterized using HG, RH, and BW due to the Principal components, while the CHAID and Exhaustive CHAID algorithms analysis revealed BW and HL as the genetic classi ers of the WAD goats, both in terms of locations. Basically, the goats from the 3 locations appeared to be more homogeneous in nature, implying that a deployment of speci c complimentary genomics work targeted at future selection and breeding programs to improve their productivity in the Tropical rain forest of Nigeria is necessary.

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Morphobiometrical characteristics of indigenous chicken ecotype populations in Rwanda

Cited by 9 publications

References 53 publications

Multivariate characterisation of morpho-biometric traits of indigenous helmeted Guinea fowl (Numida meleagris) in Nigeria

Multivariate characterisation of morpho-biometric traits of indigenous helmeted Guinea fowl (Numida meleagris) in Nigeria

Phenotypic and morphometric characterization of domestic geese raised in northern Benin

West African Dwarf goat populations of tropical rainforest zone: application of multivariate analysis tools on their characterization using morpho-biometric traits

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