Egg-based typology of local chickens in Kongo Central, Democratic Republic of the Congo: morphometric traits and internal quality assessed using Haugh units
DOI:
https://doi.org/10.59228/rcst.026.v5.i4.357Keywords:
extensive poultry systems, egg freshness, phenotypic diversity, animal genetic resources, local selectionAbstract
Laying performance and egg quality of local chickens remain poorly documented in the Democratic Republic of the Congo despite their importance as animal genetic and socioeconomic resources.To characterize eggs from local hens in Mbanza-Ngungu, Muanda, and Songololo and to establish an exploratory hen typology based on egg morphometric traits and Haugh units.A total of 190 eggs from 38 hens (five eggs per hen) were analyzed. Egg weight, length, width, and thick albumen height were measured; shape index and Haugh units were calculated. Descriptive analyses were performed at the egg level, whereas the main territorial comparisons, principal component analysis, and hierarchical clustering used hen-level means to account for repeated eggs from the same hen.Mean egg weight ranged from 34.13 ± 7.02 g in Songololo to 36.21 ± 6.60 g in Mbanza-Ngungu, with no robust territorial difference at the hen level. Haugh units differed among territories and were highest in Muanda. The first two principal components explained 79.60% of total variance. Two exploratory hen profiles were identified, differentiated mainly by egg size and, secondarily, by Haugh units; cluster separation was moderate and cluster membership was not associated with territory. The observed phenotypic variability provides a preliminary basis for individual-level characterization of local hens. Although eligibility criteria and the general feeding system were described, detailed individual covariates and post-laying conditions were insufficiently documented for adjustment. The typology remains exploratory and does not establish genetic differentiation or justify selection decisions without further validation.
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References
Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459. https://doi.org/10.1002/wics.101
Guèye, E. F. (2000). The role of family poultry in poverty alleviation, food security and the promotion of gender equality in rural Africa. Outlook on Agriculture, 29(2), 129–136. https://doi.org/10.5367/000000000101293130
Haugh, R. R. (1937). The Haugh unit for measuring egg quality. U.S. Egg & Poultry Magazine, 43, 552–555, 572–573.
Hennig, C. (2007). Cluster-wise assessment of cluster stability. Computational Statistics & Data Analysis, 52(1), 258–271. https://doi.org/10.1016/j.csda.2006.11.025
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70. https://www.jstor.org/stable/4615733
Hurlbert, S. H. (1984). Pseudoreplication and the design of ecological field experiments. Ecological Monographs, 54(2), 187–211. https://doi.org/10.2307/1942661
Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202. https://doi.org/10.1098/rsta.2015.0202
Jones, D. R. (2015). Determining Haugh units. National Egg Quality School Proceedings, 346–348 https://www.ars.usda.gov/research/publications/publication/?seqNo115=353555
Jones, D. R., & Musgrove, M. T. (2005). Effects of extended storage on egg quality factors. Poultry Science, 84(11), 1774–1777. https://doi.org/10.1093/ps/84.11.1774
Liswaniso, S., Qin, N., & Xu, R. (2020). Quantitative analysis of egg quality traits of indigenous free-range chickens in Kabwe, Zambia. Journal of Entomology and Zoology Studies, 8(2), 603–608. https://www.entomoljournal.com/archives/2020/vol8issue2/PartK/8-1-390-529.pdf
Nonga, H. E., Kajuna, F. F., Ngowi, H. A., & Karimuribo, E. D. (2010). Physical egg quality characteristics of free-range local chickens in Morogoro municipality, Tanzania. Livestock Research for Rural Development, 22(12), Article 218. https://www.lrrd.org/lrrd22/12/nong22218.htm
Roberts, J. R. (2004). Factors affecting egg internal quality and egg shell quality in laying hens. The Journal of Poultry Science, 41(3), 161–177. https://doi.org/10.2141/jpsa.41.161
Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53–65. https://doi.org/10.1016/0377-0427(87)90125-7
Silversides, F. G., & Scott, T. A. (2001). Effect of storage and layer age on quality of eggs from two lines of hens. Poultry Science, 80(8), 1240–1245. https://doi.org/10.1093/ps/80.8.1240
Tadesse, D., Esatu, W., Girma, M., & Dessie, T. (2015). Comparative study on some egg quality traits of exotic chickens in different production systems in East Shewa, Ethiopia. African Journal of Agricultural Research, 10(9), 1016–1021. https://doi.org/10.5897/AJAR2014.9373
Ward, J. H., Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236–244. https://doi.org/10.1080/01621459.1963.10500845
Williams, K. C. (1992). Some factors affecting albumen quality with particular reference to Haugh unit score. World’s Poultry Science Journal, 48(1), 5–16. https://doi.org/10.1079/WPS19920002
Wong, J. T., de Bruyn, J., Bagnol, B., Grieve, H., Li, M., Pym, R., & Alders, R. G. (2017). Small-scale poultry and food security in resource-poor settings: A review. Global Food Security, 15, 43–52. https://doi.org/10.1016/j.gfs.2017.04.003
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