ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bangalore, 560 030, India.
ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bangalore, 560 030, India.
J Dairy Sci. 2023 Dec;106(12):8847-8860. doi: 10.3168/jds.2022-22153. Epub 2023 Aug 23.
Indian dairy enterprise is dominated by smallholder dairy farms that contribute 72% of the country's total milk production. These smallholder dairy farms are often considered to emit substantial greenhouse gases (GHG) but are poor in productive performances. Therefore, it is crucial to estimate the carbon footprint (CF) of milk production of the smallholder Indian dairy farms. The primary objectives of the study were (1) Assessing the CF of milk production of smallholder dairy farms through life cycle analysis in south-interior Karnataka, India; (2) Identifying the hotspots of GHG emissions and significant factors influencing the CF of milk production in smallholder dairy production system. The study accounted GHG emissions from different sources and considered multiple functions of the smallholder production system. Estimations were made based on primary data collected from 47 farms and associated secondary data. For estimating the CF of milk production, the emissions of carbon dioxide (CO), methane (CH), and nitrous oxide (NO) on a CO-equivalent (CO-eq) basis from feed production, enteric fermentation, manure management, transport and energy usage were allocated to fat- and protein-corrected milk (FPCM) based on mass balance, price (crop byproducts and residues) and feed digestibility. Principal component analysis and stepwise linear regression analysis were performed to identify the major factors influencing the CF. The average total GHG emissions (kg CO-eq yr farm) attributable to milk production based on mass, economic, and digestibility allocations were 8,936, 8,641, and 8,759, respectively. The contributions of CH, NO, and CO to the total farm GHG emission were 70.6%, 20.5%, and 7.69%, respectively. The major emission hotspots were CH emission from enteric fermentation (66.8%) and GHG emission from feed production (23.0%). The average CF of cradle-to-dairy cooperative milk production varied from 1.45 to 1.81 kg CO-eq kg FPCM. The CF of milk production was more than 2-fold greater, when milk yield was below 3,500 kg lactating cow yr. The FPCM yield 100 kg body weight, dry matter intake, and CH emission from manure management were the strongest determinants of the CF and explained 83.4% of the observed variation. The study emphasized the importance of considering multiple functions of a mixed crop-livestock-based dairy production system for estimating CF per unit of product. The results suggest that maintaining high-yielding dairy animals and adopting appropriate feeding strategies for better feed utilization are the possible effective interventions for reducing the CF of milk production.
印度的奶制品企业主要由小农户奶场构成,这些小农户奶场贡献了全国牛奶总产量的 72%。这些小农户奶场通常被认为会排放大量温室气体(GHG),但生产性能较差。因此,估算印度小农户奶场牛奶生产的碳足迹(CF)至关重要。本研究的主要目的是:(1)通过在印度南部内陆卡纳塔克邦的生命周期分析,评估小农户奶场牛奶生产的 CF;(2)确定 GHG 排放的热点以及影响小农户奶制品生产系统 CF 的重要因素。本研究考虑了不同来源的 GHG 排放,并考虑了小农户生产系统的多种功能。估算基于从 47 个农场收集的主要数据和相关的次要数据。为了估算牛奶生产的 CF,基于质量平衡、价格(作物副产物和残渣)和饲料消化率,将饲料生产、瘤胃发酵、粪便管理、运输和能源使用过程中产生的二氧化碳(CO)、甲烷(CH)和氧化亚氮(NO)的排放量分配到脂肪和蛋白质校正奶(FPCM)上,以 CO 当量(CO-eq)为基础。进行了主成分分析和逐步线性回归分析,以确定影响 CF 的主要因素。基于质量、经济和消化率分配,归因于牛奶生产的总 GHG 排放量(kg CO-eq yr 农场)分别为 8936、8641 和 8759。CH、NO 和 CO 对总农场 GHG 排放的贡献分别为 70.6%、20.5%和 7.69%。主要排放热点是瘤胃发酵产生的 CH 排放(66.8%)和饲料生产产生的 GHG 排放(23.0%)。从奶联社到奶场的牛奶生产 CF 的平均值为 1.45 至 1.81 kg CO-eq kg FPCM。当奶牛产奶量低于 3500 kg 泌乳牛 yr 时,牛奶生产的 CF 增加了两倍以上。FPCM 产量 100 kg 体重、干物质摄入量和粪便管理产生的 CH 排放是 CF 的最强决定因素,解释了观察到的变异性的 83.4%。本研究强调了考虑混合作物-牲畜奶制品生产系统的多种功能来估算每单位产品的 CF 的重要性。研究结果表明,维持高产奶牛并采用适当的饲养策略以提高饲料利用率,是减少牛奶生产 CF 的可能有效干预措施。