Bibliographic mapping of animal genetic resources and climate change in farm animals.

Bibliometric mapping is a tool that allows you to visualize the academic production, as well as the publication trends over the years. In this study, we carried out the bibliometric mapping of citation, co-occurrence of keywords, co-citation, and bibliographic coupling for "animal genetic resources" and "climate change." Scopus was used to obtain the publication information and VOSViewer software to produce the maps. A total of 1171 documents were found from authors in 129 countries from 1975 to 2022. The USA, UK, and China are the top three countries producing scientific research on the topics of animal genetic resources and climate change. China is the country with the most recent publications. The USA, the UK, and China stood out in almost all the analyses, but other Asian and Latin American countries appear more recently and are becoming more important in this scenario. Most of the work is related to studies involving animal adaptation, conservation, and genetic diversity; however, in recent years, there has been an increasing amount of research involving genetic engineering, such as the use of genetic sequencing and single nucleotide polimorphism (SNP). This study can help to understand new research trends in the area of animal genetic resources and climate change and can assist in the development of future actions within the research community.

Integration of georeferenced and genetic data for the management of biodiversity in sheep genetic resources in Brazil.

There are few animal germplasm/gene bank collections in Brazil, and basic studies are needed to attend the future internal and external demands from international partners. The aim of this work was to validate a "proof of concept" that integrates spatial (georeferenced data) and genetic data regarding the local of origin from 3518 DNA samples from 17 different genetic groups or breeds of sheep in the Brazilian Germplasm bank. Spatialisation shows that not all genetic groups have samples in the bank, and collection is concentrated in the conservation nuclei spread nationwide. Only 21% of states with a specific breed have samples in the gene bank. The mean number of animals sampled per collection was 32, while the mean distance travelled to collect samples was 262 km from the conservation nuclei. For example, the Brazilian Somali were only collected in the conservation nucleus in Ceará State. No samples were collected to date for the Cariri breed, which is recognised by the Brazilian Ministry of Agriculture. Only two farms and one breed in the bank are from the northern region. Of the 27 states, there are samples in the gene bank of sheep from 13, so several states have no samples, requiring collection from herds outside the official system of conservation to make sure that studies using this germplasm realised are not biased. Significant genetic differences are seen above 332 km, which should guide future sampling efforts. Suggestions are given for improving the quantity, quality and diversity of samples in the gene bank.

Spatial dynamics of the Girolando breed in Brazil: analysis of genetic integration and environmental factors.

Brazil is one of the world's largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of the animals within the production systems.