Assessment of climate resilience index: Insight from Murrah buffalo-based livestock production system of Western India

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural Systems Pub Date : 2025-05-12 DOI:10.1016/j.agsy.2025.104390

Ruchi Singh , Sanjit Maiti , Sanchita Garai , Mukesh Bhakat , Sujeet Kumar Jha , Anil Kumar Dixit , Anjali Aggarwal

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引用次数: 0

Abstract

Context

India is largest milk producer in the world. The buffalo (Bubalus bubalis), particularly the Murrah breed is the major contributor to the total milk production of India. But this breed is highly susceptible to climate-change induced heat stress due to their physiological characteristics. Therefore, livelihoods depend on the Murrah based livestock production system is highly vulnerable even in its breeding tract i.e. Haryana, a state of western India. Hence, a system-based analysis provides an essential guide to policymakers and other stakeholders to understand the system comprehensively and develop targeted climate actions to enhance its resilience, contributing to India's position as a global leader in milk production.

Objective

The present study used a system-based strategic approach to apprise climate resilience of the Murrah Buffalo-based Livestock Production System (MBLPS) and to identify critical indicators of this system functions under changing environmental conditions.

Methods

A sample of 320 farmers involved in the Murrah buffalo-based livestock production system and its connected components were selected from the breed's breeding tracts in central Haryana. Resilience capacity, described as its three dimensions, i.e., absorptive, adaptive, and transformative capacity, was represented by eleven indicators and 37 sub-indicators. In addition, the climate resilience index (CRI) of MBLPS in their breeding tract was developed. The household resilience determinants and indicators were identified by Principal Component Analysis (PCA) and multiple regression analysis.

Results and conclusion

The findings indicate that mean resilience index score of absorptive capacity (0.60) was most significant contributing component of the resilience, followed by adaptive capacity (0.38) and transformative capacity (0.31) mean resilience score. A large portion of the farmers i.e. 43.31 % had medium level of resilience capacity. It was also found that indicators like information about climate change, health, social contact, and the availability of essential services were significantly contributing towards resilience of the Murrah Buffalo-based Livestock Production System.

Significance

Since Murrah buffalo rearers were having moderate resilience and particularly lack of strong transformative abilities, plans for climate adaptation should be explicitly developed with their long-term goals in mind, emphasizing strengthening their transformative capacity. This plan for climate adaptation should be tailored to the aspirations of Murrah buffalo rearers to continue to be the largest contributor to the milk production of India. This might involve promoting sustainable practices, diversifying income groups, improving access to markets and resources, and knowledge sharing within the community.

Abstract Image

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气候适应指数的评估：来自印度西部Murrah水牛畜牧业生产系统的见解

印度是世界上最大的牛奶生产国。水牛（Bubalus bubalis），特别是Murrah品种是印度牛奶总产量的主要贡献者。但是由于它们的生理特性，这个品种对气候变化引起的热应激非常敏感。因此，即使在其繁殖地（即印度西部的哈里亚纳邦），依赖以Murrah为基础的牲畜生产系统的生计也非常脆弱。因此，基于系统的分析为政策制定者和其他利益相关者全面了解该系统并制定有针对性的气候行动以增强其抵御能力提供了重要指导，有助于印度成为全球牛奶生产的领导者。本研究采用基于系统的战略方法来评估Murrah水牛畜牧生产系统（MBLPS）的气候适应能力，并确定该系统在不断变化的环境条件下运行的关键指标。方法从哈里亚纳邦中部穆尔拉水牛养殖区选取320名参与穆尔拉水牛畜牧生产系统及其相关组成部分的农民作为样本。弹性能力分为吸收能力、适应能力和变革能力三个维度，共分为11个指标和37个子指标。在此基础上，建立了MBLPS在其繁殖地的气候适应指数（CRI）。采用主成分分析（PCA）和多元回归分析确定了农户弹性的决定因素和指标。结果与结论研究结果表明，吸收能力的平均弹性指数得分（0.60）对弹性的贡献最大，其次是适应能力（0.38）和转化能力（0.31）。大部分农户（43.31%）具有中等水平的抗灾能力。研究还发现，气候变化、健康、社会联系和基本服务的可获得性等指标对Murrah buffalo畜牧生产系统的复原力有重大贡献。由于默拉水牛养殖户的适应能力一般，特别是缺乏较强的转型能力，因此应明确制定气候适应计划，并考虑其长期目标，强调加强其转型能力。这个适应气候变化的计划应该根据默拉水牛养殖者继续成为印度牛奶产量最大贡献者的愿望进行调整。这可能涉及促进可持续实践、使收入群体多样化、改善获得市场和资源的途径以及在社区内分享知识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Agricultural Systems 农林科学-农业综合

CiteScore

13.30

自引率

7.60%

发文量

174

审稿时长

30 days

期刊介绍： Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.