An ability to prepare, recover and adapt to frequent climatic variation is called “Climate resilience.” climate change now places additional pressure on the cattle industry, particularly in developing nations, which threatens the livelihood of small farmers. In 2013 “Food and Agriculture Organization” reported that the livestock sector accounts for nearly one-third of agricultural gross production value globally. There are higher possibilities of the effective implications of sustainable intensification in the livestock production systems to determine production pathways that are more sustainable and productive with a minimum negative impact on the environment. The paper discusses the systematic review mingled with qualitative text analysis to explore the interrelation between sustainable intensification and resilient climate practices, specifically towards the livestock production system. The data for systematic review was taken from Scopus, Web of Science, and PubMed databases from 1995 till 2020, with total screened 94 articles in the final selection. The study’s results revealed that all approaches involving environment-friendly practices with higher production efficiency, resource use efficiency and reachable to every farmer were considered sustainable intensification. The relevance of this sustainability analysis to climate resilience is illustrated by considering different types of livestock systems with concerned practices. So, the inclusion of appropriate technology in an appropriate system will open the door for sustainable intensification in the face of a Climate-Resilient livestock production system and finally lead the farming community towards sustainable development.

Background: The present study was conducted to study the resilience capacity towards changing climate of a farming community who reared specifically Murrah buffaloes in their livestock production system for their livelihood. As the study area was breeding tract of Murrah buffalo, hence in-depth study of resilience was performed in frequent changing climate. Methods: In order to assess the resilience capacity and their relation with socioeconomic characteristic, total 320 Murrah buffalo farmers across four districts in India’s Trans-Gangetic Plain, data were gathered using focused group discussions, PRA tools and in person interviews. Statistical tools such as principal component analysis for index development, cumulative square root methods for categorization of respondents and regression analysis were performed for exploring relationship. Result: Result depicted that majority of the farmers has medium level of climate resilience index score i.e. 0.456. Further, it was found that farmer’s involvement in social institute such as, gram panchayat, agriculture and dairy co-operative society, self-help group, farmers’ association and others affected their resilience capacity in changing climatic scenario. The need for better technology inclusion and access to more formal systems of finance is necessary to increase the overall resilience capacity of households.

Journal of Dairy & Veterinary sciences is a part of the Juniper publishers which publishes subject-specific articles in the field of Dairy and Veterinary Sciences. It is an Open Access, peer reviewed international journal which provides an opportunity to researchers and scientist

Climate change poses escalating threats to livestock production systems globally, with extreme weather events including intensified heat waves and cold spells increasingly compromising animal productivity, reproductive performance, and resource availability. The Murrah buffalo, a high-yielding dairy breed central to India's national milk output, remains particularly vulnerable in Haryana's Trans-Gangetic Plain, where climatic extremes are pronounced yet breed-specific sensitivity assessments are largely absent. This study employed the Analytical Hierarchy Process (AHP), a multi-criteria decision-making framework, to systematically quantify farmers' perceived climate change sensitivity across the Murrah buffalo-based livestock production system. A total of 320 farmers were surveyed across eight agro-ecologically representative blocks in Haryana. Eight primary indicators and 35 sub-indicators were identified and prioritized through pairwise comparisons. Results revealed that type of farming system was the most critical sensitivity indicator (priority weight = 0.23), with the specialized crop-based farming system sub-indicator carrying the highest global priority (0.10). Reproductive performance (0.18) and feed availability (0.16) emerged as the next most sensitive indicators, followed by impacts on milk yield, conception rates, vector-borne disease prevalence, water resource availability, and agro biodiversity. These findings highlight the deeply interconnected nature of climate vulnerabilities within Murrah buffalo husbandry and underscore the urgency of transitioning toward diversified, climate-resilient farming models. The AHP-derived priority framework offers a replicable, evidence-based tool for policymakers and extension services to target adaptation interventions in heat-stressed, smallholder dairy systems.