The signature of selection is a crucial concept in evolutionary biology that refers to the pattern of genetic variation which arises in a population due to natural selection. In the context of climate adaptation, the signature of selection can reveal the genetic basis of adaptive traits that enable organisms to survive and thrive in changing environmental conditions. Breeds cultivated in diverse agroecological zones exhibit genetic "footprints" within their genomes that mirror the influence of climate-induced selective pressures, subsequently impacting phenotypic variance. We examined genotypic data from eight different cattle breeds (Gir, Hariana, Kankrej, Nelore, Ongole, Red Sindhi, Sahiwal, and Tharparkar) that are adapted to diverse regional climates in India. It is assumed that the genomes of animals residing in these regions have been altered through selection for various climatic adaptations. In this study, we utilized bovine 50K chip data and four genome scan techniques to assess the genetic regions of positive selection for high-temperature adaptation. We have also performed genome-wide investigation of genetic diversity, inbreeding, and effective population size in our target dataset. To identify selection signature regions in this work, we used four intra-population statistics: Tajima's D, CLR, iHS, and ROH. We identified potential regions for selection that is likely to be caused by adverse climatic conditions. We observed many adaption genes as several potential selection signature areas. These include genes like HSPB2, HSPB3, HSP20, HSP90AB1, HSF4, HSPA1B, CLPB, GAP43, MITF, and MCHR1, which have been reported in the cattle population that lives in varied climatic regions.