Search Results (3)

Animal genetic resources are critical to livestock productivity and adaptability, facilitate resilience to climate change, and are a key contributor to food security and livelihoods around the world. The Global Plan of Action for Animal Genetic Resources (Global Plan), consisting of four Strategic Priority Areas (SPAs: Characterization; Sustainable use; Conservation; Policy), provides a framework to guide countries and other stakeholders on actions to improve the management of animal genetic resources. Assessing, reporting and monitoring the progress and implementation of the Global Plan are critical processes for understanding global commitments made to enhance livestock genetic diversity. In this study, three rounds of reporting (2012, 2014, and 2019) from Member Nations of the Food and Agriculture Organization of the United Nations were quantitatively analyzed to gain insight into the progress and implementation of the Global Plan by grouping questionnaires responses into quantitative indicator scores. Variations were found in indicator scores across SPAs, year, and regions, as well as within regions. Countries from North America and Europe and the Caucasus reported higher scores, while most BRICs countries (Brazil, India, China, South Africa) had high implementation scores relative to other countries in the same region. A significant positive correlation was observed between mean implementation scores in 2019 and GDP per capita (r = 0.456). Countries reporting higher implementation of in situ conservation also indicated higher proportions of breeds at risk. Significant progress was reported over the years for three of the four SPAs; SPA3 (conservation) was not found to have significantly improved. Despite the gains that have been made since 2012 in management of animal genetic resources, much remains to be done. The population status of nearly 60% of breeds is unknown while almost three quarters of breeds of known status are at risk of extinction. Efforts must continue to improve management of livestock genetic diversity, with further investments and development of approaches that support socio-economic viability of local genetic resources. Full article

Cryoconservation is one of the main strategies to conserve farm animal genetic resources, providing opportunities for genetic improvement and adaptation to changes in production environments and consumer demands. In this study, we combine livestock breed-related data from the Domesticated Animal Diversity Information System (DAD-IS) and information provided by gene banks from 15 European and 2 non-European countries on material stored for livestock breeds to analyze the gaps in cryomaterial collections according to species, countries and various breed categories. Out of the 2949 breeds registered in DAD-IS for these countries, 15.9% have been reported to have material stored in gene banks, but only 4.3% have material sufficient to allow breed reconstitution. The proportion of breeds with stored cryomaterial was greater than 20% for ruminants and pigs, between 10% and 20% for equids, and below 10% for rabbit and avian species. According to the results of two logistic regressions, countries show significant differences in the proportion of populations collected for cryostorage, while breeds not-at-risk are more likely to have cryomaterial preserved than are other breeds. Also, a relatively larger proportion of transboundary breeds have cryomaterial in gene banks than do local breeds, likely due in part to the fact that multiple countries have the opportunity to collect this material. These results highlight the need for increased efforts in material collection for at-risk local breeds and regional coordination on cryoconservation of material from transboundary breeds. Full article

The introduction of livestock species in Europe has been followed by various genetic events, which created a complex spatial pattern of genetic differentiation. Spatial principal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS) incorporate geography in multivariate analysis. This method was applied to three microsatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds from Europe, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, and the first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCA analysis. However, higher sPCA coordinates suggest, for all three species, additional spatial structuring. The goat is the most geographically structured species, followed by cattle. For all three species, the main genetic cline is from southeast to northwest, but other geographic patterns depend on the species. We propose sPCA and sMDS to be useful tools for describing the correlation of genetic variation with geography. Full article