Comparing technical efficiency of farms with an automatic milking system and a conventional milking system

Changing from a conventional milking system (CMS) to an automatic milking system (AMS) necessitates a new management approach and a corresponding change in labor tasks. Together with labor savings, AMS farms have been found to have higher capital costs, primarily because of higher maintenance costs and depreciation. Therefore, it is hypothesized that AMS farms differ from CMS farms in capital:labor ratio and possibly their technical efficiency, at least during a transition learning period. The current study used actual farm accounting data from dairy farms in the Netherlands with an AMS and a CMS to investigate the empirical substitution of capital for labor in the AMS farms and to determine if the technical efficiency of the AMS farms differed from the CMS farms. The technical efficiency estimates were obtained with data envelopment analysis. The 63 AMS farms and the 337 CMS farms in the data set did not differ in general farm characteristics such as the number of cows, number of hectares, and the amount of milk quota. Farms with AMS have significantly higher capital costs (€12.71 per 100 kg of milk) than CMS farms (€10.10 per 100 kg of milk). Total labor costs and net outputs were not significantly different between AMS and CMS farms. A clear substitution of capital for labor with the adoption of an AMS could not be observed. Although the AMS farms have a slightly lower technical efficiency (0.76) than the CMS farms (0.78), a significant difference in these estimates was not observed. This indicates that the farms were not different in their ability to use inputs (capital, labor, cows, and land) to produce outputs (total farm revenues). The technical efficiency of farms invested in an AMS in 2008 or earlier was not different from the farms invested in 2009 or 2010, indicating that a learning effect during the transition period was not observed. The results indicate that the economic performance of AMS and CMS farms are similar. What these results show is that other than higher capital costs, the use of AMS rather than a CMS does not affect farm efficiency and that the learning costs to use an AMS are not present as measured by any fall in technical efficiency.     

Environmental efficiency of alternative dairy systems: A productive efficiency approach

Agriculture across the globe needs to produce “more with less.” Productivity should be increased in a sustainable manner so that the environment is not further degraded, management practices are both socially acceptable and economically favorable, and future generations are not disadvantaged. The objective of this paper was to compare the environmental efficiency of 2 divergent strains of Holstein-Friesian cows across 2 contrasting dairy management systems (grazing and nongrazing) over multiple years and so expose any genetic × environment (G×E) interaction. The models were an extension of the traditional efficiency analysis to account for undesirable outputs (pollutants), and estimate efficiency measures that allow for the asymmetric treatment of desirable outputs (i.e., milk production) and undesirable outputs. Two types of models were estimated, one considering production inputs (land, nitrogen fertilizers, feed, and cows) and the other not, thus allowing the assessment of the effect of inputs by comparing efficiency values and rankings between models. Each model type had 2 versions, one including 2 types of pollutants (greenhouse gas emissions, nitrogen surplus) and the other 3 (greenhouse gas emissions, nitrogen surplus, and phosphorus surplus). Significant differences were found between efficiency scores among the systems. Results indicated no G×E interaction; however, even though the select genetic merit herd consuming a diet with a higher proportion of concentrated feeds was most efficient in the majority of models, cows of the same genetic merit on higher forage diets could be just as efficient. Efficiency scores for the low forage groups were less variable from year to year, which reflected the uniformity of purchased concentrate feeds. The results also indicate that inputs play an important role in the measurement of environmental efficiency of dairy systems and that animal health variables (incidence of udder health disorders and body condition score) have a significant effect on the environmental efficiency of each dairy system. We conclude that traditional narrow measures of performance may not always distinguish dairy farming systems best fitted to future requirements.     

Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare

Over the last 100 yr, the dairy industry has incorporated technology to maximize yield and profit. Pressure to maximize efficiency and lower inputs has resulted in novel approaches to managing and milking dairy herds, including implementation of automatic milking systems (AMS) to reduce labor associated with milking. Although AMS have been used for almost 20 yr in Europe, they have only recently become more popular in North America. Automatic milking systems have the potential to increase milk production by up to 12%, decrease labor by as much as 18%, and simultaneously improve dairy cow welfare by allowing cows to choose when to be milked. However, producers using AMS may not fully realize these anticipated benefits for a variety of reasons. For example, producers may not see a reduction in labor because some cows do not milk voluntarily or because they have not fully or efficiently incorporated the AMS into their management routines. Following the introduction of AMS on the market in the 1990s, research has been conducted examining AMS systems versus conventional parlors focusing primarily on cow health, milk yield, and milk quality, as well as on some of the economic and social factors related to AMS adoption. Additionally, because AMS rely on cows milking themselves voluntarily, research has also been conducted on the behavior of cows in AMS facilities, with particular attention paid to cow traffic around AMS, cow use of AMS, and cows' motivation to enter the milking stall. However, the sometimes contradictory findings resulting from different studies on the same aspect of AMS suggest that differences in management and farm-level variables may be more important to AMS efficiency and milk production than features of the milking system itself. Furthermore, some of the recommendations that have been made regarding AMS facility design and management should be scientifically tested to demonstrate their validity, as not all may work as intended. As updated AMS designs, such as the automatic rotary milking parlor, continue to be introduced to the dairy industry, research must continue to be conducted on AMS to understand the causes and consequences of differences between milking systems as well as the impacts of the different facilities and management systems that surround them on dairy cow behavior, health, and welfare.     

Economic impacts of reduced milk production associated with papillomatous digital dermatitis in dairy cows in the USA

The goal of this study was to measure the economic impacts of reduced milk production associated with papillomatous digital dermatitis (PDD) in dairy cows in the USA, and of specific risk factors for PDD, in 1996. The method applied was an economic-welfare analysis of producer and consumer surplus, with the GUM Workbench used to analyse uncertainties in the measurements. Reduced milk production associated with PDD was found to reduce consumer surplus by Dollars 750 million +/- Dollars 580 million, and to increase the economic surplus of producers by Dollars 560 million +/- Dollars 470 million, with a net economic loss of Dollars 190 million +/- Dollars 130 million. An examination of the economic effects of specific epidemiologic risk factors for PDD showed that having dairy cows that were not born on the operation had important economic consequences associated with the disease, as did the type of land to which dairy cows had access during the winter months and the type of flooring on which cows walked. Washing hoof-trimming equipment between cows was an important biosecurity measure that was associated with reduced PDD. The epidemiologic model used also implicated hoof trimmers who trimmed cattle hooves on other operations as having an important economic impact associated with this disease, although this finding may have been erroneous.     

Whole-farm nitrogen balance on western dairy farms

Environmental legislation has made it necessary for livestock producers to be able to quantify and adjust the N balance on their farms. Whole-farm N balance and efficiencies were computed for 41 commercial dairies in Utah and Idaho using the University of Maryland Nutrient Balancer. The average N balance, or unaccounted for N, was 81 tonnes per year for the average herd size of 466 cows with 35.8% of the inputs accounted for in the outputs. The major inputs for farms that grew crops (n = 23, herd size = 284 total cows) were imported feed (57.4% of all inputs) and nitrogen fixation (30% of inputs). The major outputs were animal products (primarily milk and some meat, 80% of outputs). For farms that grew no crops (n = 18, herd size = 700 total cows), 98% of the inputs were from imported feed. Of the outputs, 57% of the N was in animal products and 42.9% in manure and compost. Whole-farm balance per product for those farms that grew crops was most affected by herd N utilization efficiency (kg feed N per kg product N), crop N utilization efficiency, and availability of manure N applied to crops, while manure N storage efficiency was of lesser importance. For farms that grew no crops, whole-farm N balance per product was most affected by herd N utilization efficiency and manure N storage efficiency. Maximizing conversion of feed N to product N was the best way to reduce whole-farm N balance.     

Measuring labor input on pasture-based dairy farms using a smartphone

With the cessation of milk quotas in the European Union, dairy herd sizes increased in some countries, including Ireland, with an associated increase in labor requirement. Second to feed costs, labor has been identified as one of the highest costs on pasture-based dairy farms. Compared with other European Union countries, Ireland has historically had low milk production per labor unit; thus, optimization of labor efficiency on farm should be addressed before or concurrently with herd expansion. The objective of this study was to quantify current levels of labor input and labor efficiency on commercial pasture-based dairy farms and to identify the facilities and management practices associated with increased labor efficiency. Thirty-eight dairy farms of varying herd sizes, previously identified as labor-efficient farms, were enrolled on the study and data were collected over 3 consecutive days each month over a 12-mo period, starting in May 2015 and finishing in August of 2016. This was achieved through the use of a smartphone application. For analysis purposes, farms were categorized into 1 of 3 herd size categories (HSC): farms with <150 cows (HSC 1), 150–249 cows (HSC 2), or ≥250 cows (HSC 3). Overall farm labor input increased with HSC with 3,015, 4,499, and 6,023 h worked on HSC 1, 2, and 3, respectively. A higher proportion of work was carried out by hired staff as herd size increased. Labor efficiency was measured as total hours input to the dairy enterprise divided by herd size. Labor efficiency improved as herd size increased above 250 cows with 17.3 h/cow per yr observed for HSC 3; labor efficiency was similar for HSC 1 and 2, at 23.8 and 23.3 h/cow per yr, respectively. A large range of efficiency was observed within HSC. The labor requirements had a distinct seasonal pattern across the 3 HSC with the highest input observed in springtime (February to April) primarily due to calving and calf-care duties, milking, and winter feeding. The lowest input was observed in wintertime (November to January) when cows were dry. Particular facilities and management practices were associated with efficiency within certain tasks, the most notable in regard to milking and winter feeding practices. Additionally, the most efficient farms used contractors to perform a higher proportion of machinery work on farm than the least efficient farms.     

Producer satisfaction, efficiency, and investment cost factors of different milking systems

A modernization survey was used to determine producer satisfaction, efficiency, and investment cost measures of different milking systems. The 301 producers included in this study expanded herd size by at least 50% for smaller herds (60 to 100 cows), or 40% for larger herds, (>100 cows) between 1994 and 1998. The milking systems analyzed and compared were stall barn with pipeline, flat barn parlor walk through and back-out, and herringbone or parallel parlor in old barn or new building. Investment costs per cow were higher for pit parlor in new building, $979. Parallel parlors had a higher cost per milking unit, $13,201, and cost per cow, $860, than herringbone, $8944 and $582, respectively. Herringbone parlors were used more hours per day, 10.75, than parallel parlors, 8.84, of similar size. Pit parlors in new buildings were more labor efficient, as measured by cows per worker hour, than stall barns with pipeline or flat parlor or pit parlors in old barns. Herringbone and parallel parlor in new building were similar for cows per hour (82 and 83) and cows per worker hour (41 and 43). Parallel or herringbone parlors in old barns had fewer cows per hour (63 and 58) than parallel or herringbone parlors in new buildings. Survey respondents showed greater satisfaction for time spent milking, physical comfort of milker, and milk quality for parlor types over stall barn with pipeline. Safety of operator satisfaction was higher for pit parlors than flat parlors or stall barn. No difference in satisfaction was observed between parallel and herringbone parlors.     

Impact of Supply Management Programs on Regional Dairying: West Coast Perspective

The Western sector's share of total milk output in the United States has grown dramatically because of low economic costs and relatively high management and risk returns. Large increases were experienced in herd size and per cow production. Mandatory supply management programs stifle progress in the dairy industry and particularly so in the Western Region. By increasing volume, producers in this region tend to take full advantage of environmental factors, high quality feed and feed by-product availability, new technology, and resultant increases in economies of size. Mandatory programs tend to freeze production regionally, impeding the adoption of new technology, maintaining high cost producers, increasing costs to consumers, and inhibiting the law of comparative advantage. The most acceptable form of supply management in the Western Region is a voluntary program as in a whole herd buyout or paid diversion program. These programs, when coupled with market clearing price supports, can achieve and maintain low amounts of government surplus. Nonparticipants are free to make managemement decisions that improve overall efficiency, maximizing labor and management returns. Under a pricing approach, low cost producers tend to increase milk production and high cost producers exit the industry.     

Characteristics of Minnesota dairy farms that significantly increased milk production from 1989-1993

This study evaluated factors that affected decision making and changes within the Minnesota dairy industry. The 50 herds selected for this study had at least 75 cows registered with the Dairy Herd Improvement Association in 1993 and were selected based on the total percentage increase in milk production on the farm from 1989 to 1993. These 50 herds had a mean herd size of 131 cows and a mean milk production of 8807 kg per cow in 1993. On average, from 1989 to 1993, the surveyed herds increased their total milk output by 90%, increased their herd size by 51 cows, and increased mean herd milk production by 926 kg. Of the farms, 50% were partnerships or family corporations, and 50% were owned by a single family. The surveyed producers were 39 yr of age on average. During the period studied, the use of free-stall housing increased from 36 to 48%, use of the milking parlor increased from 32 to 54%, and use of tie stalls decreased from 42 to 28%. The daily hauling of manure decreased from 34 to 20% on these farms. The use of hired labor increased by a mean of 0.61 full-time workers and 0.34 part-time workers. Strategies for herd growth included internal growth (no purchased animals), 24%; the purchase of cows, 24%; and the purchase of springers, 52%. Over 90% of the producers were very satisfied or somewhat satisfied with dairy farming operations, but only 33% of the spouses were very or somewhat satisfied. Satisfaction levels were positively associated with overall production levels on the farms. Although there is no single established pattern for the expansion of herds, practices utilized by those producers surveyed can be scrutinized by others who are contemplating expansions to determine what might be efficient for their operations.     

三麦酒业固态法白酒机械化酿造试验

对三麦酒业固态法小曲白酒的生产工艺、生产规模及产品方案,主要设备的原理及性能和主要经济技术指标进行了说明。本试验主要致力于酿造车间的机械化构建,使得各设备之间衔接良好、匹配平衡,从蒸煮、摊晾、糖化、发酵到蒸馏整个工序基本实现了连续性机械化。在实际生产过程中达到了节能减排、提高劳动效率的目的,取得了良好的经济效益和社会效益。     

我国省域纺织工业劳动生产率变化的比较

利用基于非参数前沿生产面的劳动生产率四重分解方法,分析2002—2006年期间,技术效率变化、纯技术进步、人均资本的规模效率变化和资本强度变化对我国各省纺织行业劳动生产率的影响。分析表明:从2003年开始我国纺织行业劳动生产率的改善主要来源于技术进步,而且由于技术扩散的作用,经济相对落后的省份工业生产率高于经济发达地区,其次是资本深化和技术效率的提高;在2004—2006年期间人均资本的规模报酬出现了递减的状态。     

Welfare effects of the use of recombinant bovine somatotropin in the USA

The welfare effects of increased milk production associated with the use of recombinant bovine somatotropin (rBST) on dairy operations in the USA were examined for 1996. Results that derived from three different estimates of the milk-production response to rBST were evaluated and compared. One estimate, derived from a survey of dairy producers in Connecticut, led to economic-impact estimates that were not statistically significant. A second, derived from a national survey that concentrated on the health and management of dairy cattle, led to estimates that were unbelievably high. A third, derived from a national survey that concentrated on the economics of dairy producers, provided the most reasonable estimates of economic impacts. Results of economic analysis, using the latter results, indicated that if rBST had not caused milk production to increase, then the market price of milk would have been 2.2 +/- 1.5 cents/kg higher, and the total value of the milk produced would have risen from Dollars 23.0 +/- 0.6 billion to Dollars 24.1 +/- 1.0 billion. A welfare analysis demonstrated that the increased milk production (and the reduced market price) associated with the use of rBST in the USA caused the economic surplus of consumers to rise by Dollars 1.5 +/- 1.0 billion, while the economic surplus of dairy producers fell by Dollars 1.1 +/- Dollars 0.8 billion. Increased milk production associated with rBST yielded a total gain to the US economy of Dollars 440 +/- 280 million. An analysis of annual percent changes in the number of dairy cows per operation, milk production per cow, total milk production, total number of dairy cows, and total number of dairy operations in the USA suggested that the dairy industry's long-term economic growth path was stable from 1989-2001 inclusive, and did not receive a shock resulting from the introduction of rBST.     

Improving energy productivity of sunflower production using data envelopment analysis (DEA) approach

BACKGROUND: Efficient use of energy in agriculture is one of the conditions for sustainable agricultural production. This study applies the data envelopment analysis (DEA) approach to the data of 95 randomly selected farms to investigate the technical and scale efficiencies of farmers with respect to energy use for sunflower production in Golestan province, Iran. The study also helps to identify the wasteful usage and the optimum level of energy from different inputs. RESULTS: According to the results of DEA models, about 36% of farmers were found to be technically efficient and the mean efficiency of sunflower producers was found to be 0.87 and 0.96 under the constant and variable returns to scale assumptions respectively. The optimum energy requirement was calculated as 8448.3 MJ ha^?1; accordingly, a potential reduction of 10.8% (1020.3 MJ ha^?1) in total energy input could be achieved by raising the performance of farmers to the highest level. CONCLUSION: Applying a better machinery management technique and conservation tillage methods, application of fertilisers by performance monitoring and utilisation of alternative sources of energy such as compost and chopped residues may be the pathways for improving energy productivity and reducing the environmental footprint. Copyright © 2011 Society of Chemical Industry     

An overview of experiences of Wisconsin dairy farmers who modernized their operations

Wisconsin dairy producers who modernized their operations between 1994 and 1998 had positive feelings about their expansion experiences, accompanied by increased production and improved profitability and quality of life. The average herd in this survey experienced increased production during the 5-yr period studied. Nearly all producers were satisfied with their expansion experience. The negative effect on milk production normally associated with expansion was minimal for most years and did not exist if all herds were summarized together. Managing labor appeared to be the most daunting challenge facing producers following expansion. Respondents who built all new facilities observed higher production, greater labor efficiency, and satisfaction with measures of profitability and quality of life than respondents who modified facilities or added no new facilities. As herd size increased, milk production, labor efficiency, and satisfaction with herd performance, profitability, and quality of life increased. Producers who built all new facilities spent less time on farm work, more time managing employees, and had less difficulty finding, training, supervising, and keeping farm employees than producers who modified facilities or added new facilities to existing operations. Larger herds were associated with an increased reliance on nonfamily labor. Managing labor appears to be an easier task for managers of larger herds. The most difficult challenges for producers who modernized their operations were with labor management, financing, and loan procurement, construction and cost overruns, and feet and leg health. Difficulties with expansion differed little between expansion types (same type, some new, or all new facilities) or herd sizes.     

Managerial and financial implications of major dairy farm expansions in Michigan and Wisconsin

This study examines the experiences and results of major dairy farm expansions in Michigan and Wisconsin. Twenty dairy farms that had one-time herd size increases of at least 20% between 1988 and 1998 were selected, surveyed, interviewed, and analyzed. A case study format reveals individual experiences and problem solutions. On average, studied dairy farms increased herd size from 296 to 569 cows. The most commonly cited reason for expansion was increased profits. On average, net farm income and return to operator management and capital improved following expansion. The most profitable expansions were highly correlated with modernizing facilities. In addition, a decline in return on assets was, in several cases, due to taking on too many new partners relative to the increase in herd size. Dairy farms were able to increase milk production and experienced a significant decrease in labor and management expense per hundredweight of milk produced through expansion. Outsourcing and the use of consultants increased with expansion. Public relations problems were not substantial impediments for producers who took a proactive approach. Reflecting on the expansion experience, managers indicated that human resource, financial, operations, herd management, and strategic management skills were the most important skills to achieve a successful expansion.     

Economic analysis of reproductive management strategies on US commercial dairy farms

Reproductive management has received increased attention in recent years as new technologies and programs have been developed to aid dairy managers in efficiently breeding cows and heifers. Efficient breeding of cows and heifers has become increasingly difficult as fertility has decreased because of a correlated negative response with milk yield. Dairy farm survey results were used to parameterize the economic analyses of reproductive management programs. Reproductive management program costs and the levels of reproductive performance achieved with such programs varied significantly among farms and were especially sensitive to on-farm labor costs. For example, visual heat detection requires more hours of labor per cow than use of an estrus synchronization program. Therefore, visual heat detection programs were relatively more sensitive to labor costs than synchronization programs. In addition, past reproductive performance was found to affect the determination of which reproductive program was optimal. Farms that had attained high levels of labor efficiency for visual heat detection in the past had less incentive to adopt a synchronization program than farms with less efficient visual heat detection.     

基于数据包络分析的纺织服装企业运营效率评估

为评估纺织服装企业的运营效率进而辅助企业进行合作伙伴选择或投资等决策制定,选取中国、日本和北美3大代表性国家和地区进行对比分析,并筛选出70 家纺织服装上市企业。基于数据包络分析方法,提出CRS-DEA、VRS_DEA和SE-DEA 3个评估模型,对企业的效率表现、规模收益、资源配置和标杆企业等进行解析。结果显示：受评估的企业为86%有效,依然有改进空间;70%的企业属于规模收益递减型,投资积极性较弱;劳动力冗余为资源配置方面的主要问题,受评估企业在成本配置方面表现较好,资本配置方面次之;中国企业的运营表现呈现两极分化趋势;北美露露柠檬企业（Lululemon）表现突出。     

Modeling milk production and labor efficiency in modernized Wisconsin dairy herds

The 1999 Wisconsin Dairy Modernization Project was conducted to examine variation in milk production and labor efficiency among herds that had recently expanded. Data were obtained from a sample of Wisconsin herds that expanded between 1994 and 1998. Using rolling herd average milk production in 1998 as the dependent variable in the milk production model, milking frequency, bovine somatotropin use, sprinkler use, average linear somatic cell score, average age at first calving, average days dry, and rolling herd average milk production in 1994 predicted 69% of the variation in milk production. Milking three times daily, using bovine somatotropin, using sprinklers to cool cows, and decreasing linear somatic cell score, age at first calving, and days dry were associated with increased milk production. Each of these variables supports previous research from designed experiments with on-farm results. Variation in milk production is determined primarily by differences in management ability and management practices employed by the dairy producer. Using cows per full-time equivalent as the dependent variable in the labor efficiency model, acres per cow, number of people involved in the milking operation, milking system type, herd size, and interactions between milking system types and herd size predicted approximately 43% of the variation in labor efficiency. As expected, labor efficiency increased with larger herd sizes, fewer acres per cow, and fewer people involved in the milking process. Parallel milking parlors were associated with the highest cows per full-time equivalent followed by herringbone parlors, flat barns, and stall barns.     

Farm business and operator variables associated with bulk tank somatic cell count from dairy herds in the southeastern United States

Mastitis is a worldwide problem in dairy cows and results in reduced milk production, the culling of cows, and other economic losses. Bulk tank somatic cell count (BTSCC) over 200,000 cells/mL often indicates underlying subclinical mastitis in dairy herds. Several preventative measures that can be implemented to help improve the incidence of mastitis exist, but surveys find these practices not fully adopted by producers. The goal of this research was to analyze the farm and operator characteristics associated with BTSCC in dairy herds by analyzing a survey of dairy producers in the southeastern United States. We examined this region because it has experienced a decline in the number of dairy farms, dairy cows, and milk production over the past 2 decades. The southeast region is also associated with higher BTSCC levels than the national average. Dairy farms in Georgia, Mississippi, Kentucky, North Carolina, South Carolina, Tennessee, and Virginia were surveyed. Producers were asked questions about the BTSCC at which they take action to address BTSCC, the information sources they use to learn about and manage BTSCC, farm structure and management characteristics, and attitudinal variables associated with profitability, managerial control, and planning horizon. Least squares regression was used to determine how these factors were associated with BTSCC levels across the 7-state region. Concern over mastitis, financial consequences of mastitis, and increased previous-year BTSCC were associated with higher current BTSCC levels. Obtaining information about mastitis from veterinarians and extension personnel, taking action against mastitis at a BTSCC less than 300,000 cells/mL, and perceived ability to control processes and mastitis incidence were associated with reduced BTSCC. We found average BTSCC was lower in North Carolina and Virginia. These results suggest that proactive producers (i.e., those that perceive they can control BTSCC and seek information from reliable sources), were more likely to report lower BTSCC. As a result, it may be possible to achieve improved milk quality, evident from lowered BTSCC, across the region.     

An examination of labor time-use on spring-calving dairy farms in Ireland

The seasonal workload associated with pasture-based dairy farms, combined with increasing herd sizes, has led to a renewed focus on labor time-use and efficiency on dairy farms. The objective of this study was to examine labor time-use on pasture-based dairy farms in the spring and summer seasons. A total of 82 spring-calving Irish dairy farms completed the study from February 1 to June 30, 2019 (150 d). Each farmer recorded their labor input on one alternating day each week using a smartphone app. Any labor input by farm workers not using the app was recorded through a weekly online survey. Farms with data for each month (n = 76) were classified into 1 of 4 herd size categories (HSC) for analysis: farms with 50 to 90 cows (HSC 1); 91 to 139 cows (HSC 2); 140 to 239 cows (HSC 3); and ≥240 cows (HSC 4). Total hours of labor input was similar on HSC 1 (1,821 h) and HSC 2 (2,042 h) farms, but predictably as HSC increased further, total hours of labor input increased (HSC 3: 2,462 h, HSC 4: 3,040 h). On a monthly basis, labor input peaked in February (15.4 h/d) and March (15.7 h/d). The farmer worked on average 60.0 h/wk over the duration of the study period. Hired labor and contractors completed a greater amount of work as HSC increased. Labor efficiency, as measured by hours/cow, improved as HSC increased (HSC 1: 26.3 h/cow, HSC 2: 17.7 h/cow, HSC 3: 14.3 h/cow, HSC 4: 10.9 h/cow), though there were large variations in labor efficiency within HSC. Milking was the most time-consuming task, representing 31% of farm labor input making it an important focus for potential improvements in efficiency. The next 5 most time-consuming tasks were calf care (14%), grassland management (13%), cow care (10%), repairs and maintenance (10%), and administration/business (8%). This study contributes to the understanding of labor use during the busiest (most labor demanding) time of the year on pasture-based dairy farms and points to areas where labor efficiency improvements can be made on farms. The considerable variation in farm labor efficiency observed within HSCs emphasizes the necessity for a greater focus on knowledge transfer of methods to achieve improved labor efficiency and a better work–life balance on many dairy farms. As the 2 busiest months on most dairy farms, February and March require the most focus for identification of potential labor savings.