Geographic distribution of the Bulgarian Screw-Horn Longhair Goat potential threats to the population diversity
Keywords:
autochthonous goat breeds, concentration, riskAbstract
The geographic distribution of the breeds has its role in the management and conservation of the animal genetic resources. Geographically concentrated populations are more vulnerable, due to increased risk of loss of animals in case of disaster or disease outbreak. Many systems for estimation of the risk include components to account for the concentration, usually via the minimum enclosing circle centred in the centroid of the farm locations and containing 75% of the breed. In this study, we present an approach to investigate the concentration on sub-population level and its impact on the population size and diversity For each subset of farms, concentrated in a circle with radius 25 km and 50 km, we have calculated the potential loss of animals and estimated the effective population size of the remaining population. Although this method is applicable to breeds present in a small number of farms, it provides insight of potential loss of groups of closely located farms The Bulgarian Screw-Horn Longhair Goat, one of the few local goat breeds, is an example of such breed. In year 2020, 20 flocks with 3107 animals were kept, mainly in two distant regions in North-West and South-West Bulgaria, estimated effective population size of the breed – 346. The application of the method to the Bulgarian Screw-Horn Longhair Goat showed that although the breed is not geographically concentrated on country and regional level, there are some clusters of farms in the two main regions. The distribution of the farms and the animals within the farms present a threat of potential loss of 25% to 58% of the population size and effective population size of the remaining population 40% to 88% of the current one.
References
Alderson, L. (2009). Breeds at risk: Definition and measurement of the factors which determine endangerment. Livestock Science, 123 (1), 23-27.
Carson, A., Elliott, M. Groom, J., Winter, A. & Bowles, D. (2009). Geographical isolation of native sheep breeds in the UK-Evidence of endemism as a risk factor to genetic resources. Livestock Science, 123, 288-299.
Duchev, Z. I. (2021). Assessment of the risk status of four local Bulgarian breeds based on their geographic distribution. In: Proceedings of the 13th International Symposium Modern Trends in Livestock Production October 6 –8, 2021, Belgrade, Serbia, 468-476.
Duruz, S., Flury, C., Matasci, G., Joerin, F., Widmer, I. & Joost, S. (2017). A WebGIS platform for the monitoring of Farm Animal Genetic Resources (GENMON). PLoS ONE 12(4),e0176362. https://doi.org/10.1371/journal.pone.0176362
FAO (2022). Domestic animal information system Balgarska vitoroga dalgokosmesta koza, https://dadis-breed-datasheet-ext ws.firebaseapp.com/?country=BGR&specie=Goat&breed=Balgarska%20vitoroga%20dalgokosmesta%20koza&lang=en, last accessed 22.06.2022
Hinkovski, Ts., Makaveev, Ts. & Danchev, Y. (1984). Local Forms Domestic Animals. Zemizdat, Sofia, 154 (Bg).
McManus, C., Hermuche, P., Paiva, S. R., Moraes, J. C. F., Barros de Melo, C. & Mendes, C. (2014). Geographical distribution of sheep breeds in Brazil and their relationship with climatic and environmental factors as risk classification for conservation. Brazilian Journal of Science and Technology, 1, 3.
McManus, C., Hermuche, P. M., Paiva, S. R., Guimarães, R. F., Carvalho Junior, O. A. & Blackburn, H. D. (2021). Gene bank collection strategies based upon geographic and environmental indicators for beef breeds in the United States of America. Livestock Science, 104766.
Nikolov, V. (2015). Review of the specific measures for support of the autochthonous breeds in Bulgaria. Journal of Central European Agriculture, 16(2), 38-46.
Nikolov, V. & Duchev, Zh. (2022). A methodology for assessment of the risk status of the breeds in Republic of Bulgaria. Bulg. J. Agric. Sci., 28 (Supplement 1), 5–13.
QGIS Development Team (2021). QGIS Geographic Information System. Open Source Geospatial Foundation Project. http://qgis.osgeo.org.
Santiago, E. & Caballero, A. (1995). Effective size of populations under selection. Genetics, 139, 1013–1030.
Schumann, A. (2001). Die Bulgarische schraubenhörnige Langhaarziege. Arche Nova, 3, (DE).
Sedefchev, S., Vuchkov, A. & Sedefchev, A. (2011). Characterization and conservation of Bulgarian autochthonous goat breeds. Agricultural Sciences, 3(6), 67-53, (Bg).
Sturaro, E., Kompan, D., Alderson, L. & Ligda, Ch. (2013). Assessment of breeds risk status by investigating their geographic distribution. Agricultural Sciences, 5(13), 147-150, (Bg).
Verrier, E., Audiot, A., Bertrand, C., Chapuis, H., Charvolin, E., Danchin-Burge, C., Danv, S., Gourdine, J. L., Gaultier, P., Guémené, D., Laloë, D., Lenoir, H., Leroy, G., Naves, M., Patin, S. & Sabbagh, M. (2015). Assessing the risk status of livestock breeds: a multi-indicator method applied to 178 French local breeds belonging to ten species. Anim. Genet. Resour., 57, 105–118.
Vuchkov, A. (2020). Variation of the exterior in the Bulgarian Screw-Horned Longhaired Goat from two distribution areas. Trakia Journal of Sciences, 18(1), 34–39.
Wright, S. (1931). Evolution in Mendelian populations. Genetics, 16, 97–159.
Yordanov, G. (Ed.). (2017). Livestock breeds in the Republic of Bulgaria. EASRAB, Sofia, 254, (Bg).
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Bulgarian Journal of Agricultural Science

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

