Dairy farmers’ knowledge and perception of climate change in the Eastern Cape province, South Africa

Purpose This study aims to evaluate the knowledge and attitudes of dairy farmers about climate change in dairy farms in the Eastern Cape province of South Africa. Design/methodology/approach The study was conducted following a cross-sectional research design (Bryman, 2012). The study was conducted mainly on dairy farms located on the south-eastern part of the Eastern Cape province in five districts out of the province’s six districts (Figure 1). These districts include Amathole, Chris Hani, OR Tambo and Cacadu; these regions were not included in a recent surveying study (Galloway et al., 2018). Findings In all, 71.7% of dairy farm workers heard about climate change from the television, and 60.4% of participants reported that they gathered information from radio. Eighty-two out of 106 (77.4%) correctly indicated that climate change is a significant long-term change in expected weather patterns over time, and almost 10% of the study participants had no clue about climate change. Approximately 63% of the respondents incorrectly referred to climate change as a mere hotness or coldness of the day, whereas the remainder of participants correctly refuted that definition of climate change. Most of the study participants correctly mentioned that climate change has an influence on dairy production (92.5%), it limits the dairy cows’ productivity (69.8%) and that dry matter intake of dairy cows is reduced under higher temperatures (75.5%). Research limitations/implications The use of questionnaire to gather data limits the study, as respondents relied on recall information. Also, the sample size and study area limits use of the study as an inference for the excluded parts of the Eastern Cape Province. Also, it focused only on dairy farm workers and did not request information from beef farmers. Practical implications This study imply that farmers without adequate knowledge of the impact of climate change keep complaining of a poor yield/ animal productivity and changing pattern of livestock diseases. Hence, a study such as the present one helps to bridge that gap and provide relevant governing authority the needed evidence for policy changes and intervention. Social implications Farmers will begin to get help from the government regarding climate change. Originality/value This a first study in South Africa seeking to document the knowledge of dairy farm workers about climate change and its impacts on productivity.

Dairy Farm Management Information Systems

Nowadays, different types of farm management information systems (FMIS) are being used in practice in several sectors of farming, such as dairy, arable, fruits, vegetables, and meat farming. The goal of this research is to identify, evaluate, and synthesize existing FMISs in the Dutch dairy sector and present the state–of–the–art. We performed a multivocal literature review (MLR) to find sources both in scientific and grey literature. A grey literature search was adopted because most of the FMISs were not reported in the scientific literature. To support and improve the effectiveness of the MLR process, an online survey was first sent to Dutch dairy farmers to identify the FMISs that are being used in practice. With the help of the MLR process, we identified 50 FMISs used by Dutch dairy farmers. We identified 33 features of these FMISs and listed the advantages and disadvantages of the FMISs.

Benefits of Veterinary Herd Health Management on German Dairy Farms: Status Quo and Farmers' Perspective

Veterinary Herd Health Management plays an important role in veterinary medicine on dairy farms and has also been mandatory at the European Union level since April 21, 2021. Despite the increasing importance of VHHM, little is known about the extent of utilization of VHHM by dairy farmers and their view on this type of collaboration. Therefore, this cross-sectional study aimed to determine the status quo of the currently practiced VHHM in Germany. For this purpose, an online survey was conducted among dairy farmers in November and December 2020. From 216 analyzed questionnaires, about half (n = 106) of the surveyed dairy farmers used VHHM at different scopes. However, regardless of the group, the term “veterinary herd health management” generally was given most relative importance by the participants as a veterinary service for herd fertility improvement, rather than the actual definition of a holistic approach. In contrast to this, the actual motivation of the VHHM participants, to take part in such a program was primarily based on the desire to safeguard animal health by employing preventive measures, that is, to avoid the occurrence of diseases via improved management and to improve farm performance (and profitability). Dairy farmers who opted for VHHM tended to manage larger higher yielding herds than those who did not. Additionally, the farmers in latter farms were more likely to make joint animal health decisions with their veterinarians. Using a latent class analysis, two groups of farmers among farms that were not currently using VHHM were identified, one of which expressed great interest in using VHHM while the other did not. Since the new legal basis makes the topic even more relevant than before, dairy farmers, animals, and veterinarians might benefit from the study to exploit hidden opportunities for VHHM collaboration.

Investment and Resource Use Pattern followed by Dairy Farmers in Haryana

Dairy sector plays a critical role in growth of rural India by providing livelihoodopportunities to millions of people. The present study was conducted in Zone-I and ZoneII of the Haryana state. District Kaithal and Karnal were selected from Zone I whereasSirsa and Hisar districts represented Zone II to study the investment and resource usepattern followed by the dairy farmers. To achieve the objective the primary data from the200 sampled dairy farms (divided into three categories i.e. small, medium and large herdsize of milch animals) were collected through survey method. The study revealed that thetotal investment per milch animal per day in small, medium and large herd size group wasRs.175.50, 178.40 and 181.80, respectively, in Zone-I and Rs.170.08, 174.30 and 175.86,respectively, in Zone-II. From total investment, major proportion was covered byinvestment on feed and fodder, followed by concentrates and labours in both the Zones. Itmay be suggested that providing feed concentrates and high yielding seeds of green foddercrops at cheaper rates and credit facility should be strengthened.

Factors Affecting Machinations at Dairy Farms : An Appraisal from Economic Perspective

This study was undertaken to get a comprehensive idea about the favourable and unfavourable factors for adoption of dairy automation/ machinations as perceived by dairy farmers, and study the economic impact of semi-automatic milking machine for small, medium and large dairy unit using the analysis of total cost and monetary benefits. The study was carried out in north Indian states, 30 commercial dairy farmers were selected constituting a total of 150 respondents practicing commercial dairy farming under survey method of investigation. Results revealed that time saving in dairy farm operations, drudgery reduction, and maintenance of hygiene and quality of milk and milk products were perceived as top three favourable factors for adoption of dairy automation or machination. The high initial investment required for dairy automation, no extra milk price for hygiene and quality products through the adoption of dairy automation in the market, and high cost of equipment and less subsidy provided by the government were perceived as top three favourable factors for adoption of dairy automation or machination. The study indicated that adoption score of the respondents were not significantly correlated with age. It implies that age, education, family size land holding and experiences of dairy farming does not affect the adoption of dairy automation technologies. The additional monetary benefits apart from this economic benefit’s other benefits such as clean and hygiene milk, health care and management in economic terms were calculated about 43800, 39,600, and 64,000 per year for small, medium, and large dairy unit, respectively

Linking entrepreneurial orientation and managerial capacity to performance in dairy farms

The main objective of the study is to develop and test a model that emphasizes the relationship between entrepreneurial orientation (EO) and managerial capacity (MC) to the performance of dairy farms. This article also examines the effect of these variables on performance expectations as well as the succession planning of farms. Cross-sectional data were collected out of a sample of 158 dairy farmers in 2017 in Brazil. A path analysis approach has been applied to validate the hypothesized model. Results show that between EO dimensions, innovativity has the greatest impact on performance as well as on MC. MC is not significantly related to the current performance on dairy farms, but it is so to the performance expectation, which in turn has an impact on the succession planning of farms. The age of the farmers moderates the relations hypothesized in the model, especially between innovativity, proactivity, and MC in the farms’ performance.

Attitude and Willingness of Practising Dairy Farmers sons to Work Permanently in Rural Area

The study on the attitude and willingness of sons of the practising dairy farmers towardspermanently working in a rural area was carried on milk-producing districts of Anand andKheda of Gujarat state with 200 sample size. The study reveals that the majority (96.50%)of the sons of practising dairy farmers had a favourable to highly favourable attitude towardspermanently working in the rural area. It also concludes that the majority (80.50%) of thedairy farmers’ sons had poor overall willingness to stay physically to work in the ruralarea. The relationship of the attitude of young dairy sons of dairy farmers towardspermanently working in the rural area was positively and significantly correlated with theirage, marital status, scientific orientation, economic motivation and attitude towards farming,while it was negatively significant with the level of their father’s education. The willingnessto work in the rural area was observed positively and significantly correlated with theirlevel of father’s education, while it was negatively significant with their achievementmotivation, self-confidence, scientific orientation, economic motivation and attitude towardsfarming.

Contribution of Precision Livestock Farming Systems to the Improvement of Welfare Status and Productivity of Dairy Animals

Although the effects of human–dairy cattle interaction have been extensively examined, data concerning small ruminants are scarce. The present review article aims at highlighting the effects of management practices on the productivity, physiology and behaviour of dairy animals. In general, aversive handling is associated with a milk yield reduction and welfare impairment. Precision livestock farming systems have therefore been applied and have rapidly changed the management process with the introduction of technological and computer innovations that contribute to the minimization of animal disturbances, the promotion of good practices and the maintenance of cattle’s welfare status and milk production and farms’ sustainability and competitiveness at high levels. However, although dairy farmers acknowledge the advantages deriving from the application of precision livestock farming advancements, a reluctance concerning their regular application to small ruminants is observed, due to economic and cultural constraints and poor technological infrastructures. As a result, targeted intervention training programmes are also necessary in order to improve the efficacy and efficiency of handling, especially of small ruminants.

​​Effect of Farm Categories on Quality and Quantity of Milk Produced by Different Crosses of Holstein-Friesian Cows

Background: Farmers are not satisfied by the production performance of different crossbred Holstein-Friesian (HF) cows in Chattogram, Bangladesh. Therefore, the study was taken to find out the effect of farm categories on milk yield and milk constituents of different HF crossbred at Chattogram, Bangladesh. Methods: This study was conducted from July 2014 to June 2015 in Chattogram Metropolitan Area (CMA), Potia, Mirsharai and Fatikchari upazilla (sub-district) of Chittagong, Bangladesh. For this study fourteen (14) commercial dairy farms in three different categories as A (50 greater than milking cows), B (31 greater than 50 milking cows) ,C (11 greater than 30 milking cows) with 98 cows for each of the 3 crosses named as 50%HF×50% Local (L), 75%HF×25%L and 50%HF×50% Sahiwal (SH) at their third parity were selected. Farms under the same category were selected based on similarities in feeding and other management practices. Quality of raw milk was obtained by analyzing the milk samples collected from an individual animal of the selected farm at an interval of seven days by using a milk scanner (Lactostar, Model no. 3510, Funke Gerber, Germany) in the Laboratory of Dairy Science of Chattogram Veterinary and Animal Sciences University (CVASU). Result: A significant difference (P less than 0.05) in milk yield and constituents except lactose and minerals was observed among the same and different crossbreds of HF under different farm categories. The highest daily average milk yield and quality were observed in different crosses of farms belong category A, but their performances decreased gradually with poor management systems in farms belong to categories B and C. So, farm category has a significant effect on milk quality and quantity in different crosses of Holstein. This study would help the commercial dairy farmers in choosing suitable crosses of Holstein-Friesian for farms belong to different categories.