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This conceptual review addresses the social sustainability challenges facing traditional alpaca pastoralism in Peru, particularly in light of economic and environmental interventions such as selective breeding for international market demands. While efforts to prioritize economic and environmental sustainability are well-documented, the neglect of social sustainability threatens the survival of traditional Andean knowledge, practices, and cultural resilience. Utilizing a triple-bottom-line framework, this review explores the social impacts of genetic biodiversity conservation efforts within the Peruvian alpaca value chain. It highlights how selective breeding, driven by global market preferences, risks eroding not only the genetic diversity of alpacas but also the sustainability of traditional herding practices. The review underscores the need for increased attention to social dimensions when implementing technical solutions to economic and environmental challenges, emphasizing the preservation of indigenous knowledge systems and practices to sustain the livelihoods and cultural heritage of alpaqueros. Recommendations include prioritizing social sustainability by integrating traditional practices into development agendas, fostering greater participation from indigenous communities, and encouraging the transmission of intergenerational knowledge to ensure the long-term viability of Peruvian pastoralism. Future research directions are also discussed. [ABSTRACT FROM AUTHOR]

This correction notice addresses missing citations and text corrections in the original publication titled "Genetic Architecture and Signatures of Selection in the Caqueteño Creole (Colombian Native Cattle)." The missing citation has been inserted in the introduction and materials and methods sections, and references in the original article have been rearranged. The correction also includes adjustments to sentences describing the existing literature on cattle genetics, specifically regarding the use of the Fst fixation index and integrated haplotype scoring (iHS) methodology. The authors state that these corrections do not affect the scientific conclusions of the original publication. [Extracted from the article]

Genome-wide association studies are employed to identify genomic regions and candidate genes associated with several traits. The aim of this study was to perform a GWAS to identify causative variants and genes associated with milk yield, frame, and udder-conformation traits in Gir dairy cattle. Body conformation traits were classified as "frame," and "udder" traits for this study. After genotyping imputation and quality control 42,105 polymorphisms were available for analyses and 24,489 cows with pedigree information had phenotypes. First, P-value was calculated based on the variance of the prediction error of the SNP effects on the first iteration. After that, 2 more iterations were performed to carry out the weighted single-step genome-wide association methodology, performed using genomic moving windows defined based on linkage disequilibrium. The significant SNPs and top 10 windows explaining the highest percentage of additive genetic variance were selected and used for QTL and gene annotation. The variants identified in our work overlapped with QTL from the animal QTL database on chromosomes 1 to 23, except for chromosome 4. The Gir breed is less studied than the Holstein breed and as such the animal QTL database is biased to Holstein results. Hence it is noteworthy that our GWAS had similarities with previously described QTL. These previously known QTL were related to milk yield, body height, rump angle, udder width, and udder depth. In total, 5 genes were annotated. Of these genes, FAM13A and CMSS1 had been previously related to bone and carcass weight in cattle., (© 2024, The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)