Landowners' perception of the benefits and barriers to adopting centre pivot and lateral move irrigators on dairy farms

2006 ◽  
Vol 46 (11) ◽  
pp. 1433 ◽  
Author(s):  
R. Maskey ◽  
M. Bethune ◽  
D. Lawler
Keyword(s):  
Factor Analysis ◽  
Water Availability ◽  
Dairy Farms ◽  
Farm Management ◽  
Dairy Farmers ◽  
Irrigation Systems ◽  
Maintenance Costs ◽  
Face To Face ◽  
Irrigation Methods ◽  
Operation And Maintenance

Maintaining profitability under conditions of limited water availability is a key issue facing dairy farmers in the Shepparton Irrigation Region. These farmers predominantly use border-check irrigation. Pressurised irrigation methods are seen as one option for increasing productivity from the limited water resources. This study reports on landowners’ perceptions towards the adoption of centre pivot and lateral move irrigators, based on survey and factor analysis. The survey was of 20 landowners using face-to-face interviews. Factor analysis was used to identify broad categories of benefits and barriers that best summarised farmers’ responses to survey questions. Improved farm management, productivity benefits, lifestyle benefits and improved marketability of farms were identified as the key benefits of adopting centre pivot and lateral move irrigators perceived by farmers. Capital cost, operation and maintenance costs, layout of the farm and unreliability of systems were seen as the key barriers. An understanding of these perceived benefits and barriers is the first step towards the development of extension information relating to the adoption of centre pivot and lateral move irrigation systems.

scholarly journals Comparing nitrogen management on dairy farms – Canterbury case studies

2018 ◽  
pp. 201-206 ◽  
Author(s):  
Ina B Pinxterhuis ◽  
J Paul Edwards
Keyword(s):  
Environmental Impact ◽  
Environmental Performance ◽  
Management Strategies ◽  
Dairy Farms ◽  
Farm Management ◽  
Nitrogen Management ◽  
N Leaching ◽  
N Fixation ◽  
Dairy Farmers ◽  
Mitigation Options

Five Canterbury dairy farmers participate in the Forages for Reduced Nitrate Leaching programme (FRNL) to co-develop options for less environmental impact. Farm practices were adapted and new mitigation options were implemented. To assess farm environmental performance, the Overseer model was used to estimate nitrogen (N) leaching, N surplus and N conversion efficiency (NCE) for each farm and each year. When discussing the results with farmers, it appeared that these indicators for environmental performance are limited when comparing farm management strategies. The Overseer estimates include N fixation, which is influenced by model assumptions, and N leaching, estimates that strongly depend on soil type and climate entered into the model. To enable better comparisons between farms and years, a simplified N surplus and NCE were calculated using farmer recorded N inputs and N outputs, i.e. fertiliser, imported supplement, production and exported supplements. Effects of improved management and new mitigation options are presented. Four of the farms improved their N surplus and NCE and three reduced their Overseer-estimated N leaching over 3 years (2014, 2015 and 2016).

scholarly journals Influence of Mastitis and Repeat Breeding Incidence on Participation in the Animal Insurance Program for Dairy Farmers in Ba Vi, Hanoi, Vietnam

2020 ◽  
Vol 2 (4) ◽  
pp. 461-468
Author(s):  
Kentaro Koide ◽  
Ryo Murata ◽  
Au Xuan Khoa ◽  
Nguyen Khanh Ly ◽  
Phan Thi Tam ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Dairy Farms ◽  
Pilot Project ◽  
Clinical Mastitis ◽  
Farm Management ◽  
Reproductive Failure ◽  
Dairy Farmers ◽  
Insurance Program ◽  
Vaccination Campaigns ◽  
Apparently Healthy

The livestock insurance program for dairy farmers in Vietnam targeting various acute diseases began in 2011 as a pilot project; however, due to vaccination campaigns, outbreaks of such diseases are rare. The objective of this study was to investigate the effects of mastitis and reproductive failure-which chronically affect the farming economy-on the decision to participate in the insurance program. A survey involving a questionnaire and milk sampling from apparently healthy animals was conducted on the 38 participating and 59 non-participating dairy farms in the livestock insurance program in Ba Vi, Hanoi, Vietnam, in August 2014. Microbiological tests were performed to detect sub-clinical mastitis, whereas the questionnaire was administered to collect information regarding farm management and the occurrence of clinical mastitis and reproductive failure over the previous three months. There were no significant differences in the proportion of farms having cows with clinical mastitis (insured: 8/38 farms, 21.1% vs. non-insured: 13/58 farms, NA = 1, 22.8%, p = 1) and repeat breeders (insured: 16/36 farms, NA = 2, 44.4% vs. non-insured: 20/57 farms, NA = 2, 35.1%, p = 0.49) over the previous three months. The proportion of farms having cows with sub-clinical mastitis at the time of the survey was also not significantly different between insured (5/38 farms, 13.2%) and non-insured (7/59 farms, 11.91%) farms (p = 1). Based on the obtained results, neither endemic disease nor farm management is respectably involved in the decision of farms to participate in the animal insurance program targeting acute animal infectious diseases.

scholarly journals The National Livestock Identification System: The Importance of Traceability in E-Business

2007 ◽  
Vol 2 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Adam Trevarthen
Keyword(s):  
Radio Frequency Identification ◽  
Management Practices ◽  
Dairy Farms ◽  
Farm Management ◽  
Identification System ◽  
Dairy Farmers ◽  
Global Trend ◽  
Trading Partners ◽  
Frequency Identification ◽  
The Eu

This paper aims to explore how Radio Frequency Identification (RFID) can be utilized on dairy farms to enhance total farm management. There is a growing worldwide trend for countries to implement whole-of-life traceability systems for livestock, and RFID is clearly the dominant technology being chosen to achieve this aim. In line with this global trend, and to meet the requirements of key trading partners (such as the EU), Australia has implemented the National Livestock Identification System (NLIS) to provide whole-of-life traceability for livestock– a system based on the use of RFID devices. As such, it is proposed that dairy farmers utilise RFID so as to not only comply with NLIS requirements, but to extend the use of RFID onto their farms so as to provide additional benefits for themselves through subsequent enhancements in farm management practices.

IMPLEMENTATION OF THE WATER USE PLAN PROCEDURES, MEASURES AND WATER USE

2020 ◽  
Vol 6 (2) ◽  
pp. 50-58
Author(s):  
Matluba Muxammadiyeva ◽  
◽  
Iftixor Ergashev
Keyword(s):  
Performance Appraisal ◽  
Water Use ◽  
Irrigation System ◽  
Low Pressure ◽  
Irrigation Systems ◽  
Irrigation Methods ◽  
Point Pressure ◽  
A Performance

If we look at the existing irrigation methods used today in the country, then they are divided into: ground, rainfall, underground or underground, drip and spray. Basically, they are transferred to the irrigation field in two forms: through gravity and pressure irrigation systems. Naturally, a gravity irrigation system is economically more expensive than a low pressure irrigation system. However, from a performance appraisal stand point, pressure irrigation methods are less efficient and have serious disadvantages

scholarly journals The Effect of Diet and Farm Management on N2O Emissions from Dairy Farms Estimated from Farm Data

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 654
Author(s):  
Simona Menardo ◽  
Giacomo Lanza ◽  
Werner Berg
Keyword(s):  
Diet Composition ◽  
Predictive Power ◽  
Emission Inventory ◽  
Dairy Farms ◽  
Farm Management ◽  
Mitigation Strategies ◽  
N2o Emissions ◽  
Intergovernmental Panel ◽  
Manure Storage ◽  
Animal Diet

The N2O emissions of 21 dairy farms in Germany were evaluated to determine the feasibility of an estimation of emissions from farm data and the effects of the farm management, along with possible mitigation strategies. Emissions due to the application of different fertilisers, manure storage and grazing were calculated based on equations from the IPCC (Intergovernmental Panel of Climate Change) and German emission inventory. The dependence of the N2O emissions on fertiliser type and quantity, cultivated crops and diet composition was assessed via correlation analysis and linear regression. The N2O emissions ranged between 0.11 and 0.29 kg CO2eq per kilogram energy-corrected milk, with on average 60% resulting from fertilisation and less than 30% from fertiliser storage and field applications. The total emissions had a high dependence on the diet composition; in particular, on the grass/maize ratio and the protein content of the animal diet, as well as from the manure management. A linear model for the prediction of the N2O emissions based on the diet composition and the fertilisation reached a predictive power of R2 = 0.89. As a possible mitigation strategy, the substitution of slurry for solid manure would reduce N2O emissions by 40%. Feeding cows maize-based diets instead of grass-based diets could reduce them by 14%.

scholarly journals FARMERS’ KNOWLEDGE, ATTITUDE AND PRACTICES OF MASTITIS IN DAIRY COWS AT SELECTED AREAS OF BANGLADESH

2018 ◽  
Vol 16 (1) ◽  
pp. 65-70
Author(s):  
M. A. Rahman ◽  
Y. A. Sarker ◽  
M. M. Parvej ◽  
A. Parvin ◽  
M. A. Rimon ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Research Work ◽  
Bovine Mastitis ◽  
Clinical Mastitis ◽  
Village Doctor ◽  
Dairy Farmers ◽  
Face To Face ◽  
Antiseptic Solution ◽  
Dry Cow Therapy ◽  
Source Of Infection

The research work was designed to assess farmers’ knowledge, attitude and practices about bovine mastitis. The data were collected by using structured questionnaire through face to face interview techniques among the 65 dairy farmers of Dhaka, Mymensingh, and Gazipur.  Disproportionate stratified random sampling was used to select the farmers based on study areas. Most of the studied farms are small (75.4%) in the studied area, only a few (10.8%) farms were large in Dhaka. In Gazipur and Mymensingh almost (86.2%) firms were small and rest of (13.8%) was medium. According to farmer’s knowledge, major cause of mastitis was microorganisms (46.15%), but 20% farmer reported that it is due to injury and 27.69% farmer don’t know the causes of the mastitis. Most of the farmers (87.7%) think that the source of infection is unhygienic floor, but others have no clear conception about it. Before milking only 23.10% farmers’ wash the whole udder where 58.5% used single towel. About 76.9% farmers have no knowledge of screening mastitis and only 9.2% of total farmers performed regular mastitis checking. Among the farmers, 55.4% are used antiseptic solution during washing the floor and others wash their floor only by water. Highest number of farmer use Tube well water (44.6%) for daily management of their farms. Most of the farmer takes suggestions from village doctor or pharmaceutical representative (64.62%) for maintaining the diseases condition. This study recommends that identification of factors associated with sub-clinical mastitis will help to take necessary steps to reduce the prevalence of sub-clinical mastitis. The most effective way to control sub-clinical mastitis is to take preventive measures such as regular cleaning of the floor, keeping the udder clean, milkman's cleanliness, and dry cow therapy especially in high yielding dairy cows.

scholarly journals 178 Towards better usage of data in dairy farms: The Dairy Brain initiative

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 133-134
Author(s):  
Liliana Fadul ◽  
Steven Wangen ◽  
Victor E Cabrera
Keyword(s):  
Data Streams ◽  
New Technologies ◽  
Dairy Farms ◽  
Data Retrieval ◽  
Farm Management ◽  
Database Management System ◽  
Frequency Diversity ◽  
University Of Wisconsin ◽  
Decision Making Processes ◽  
The University

Abstract With increasing use of new technologies in dairy farms, vast amounts of data are generated. Each data stream has its own frequency, diversity, type and quantity of data. While data diversity is beneficial to the farmer, it also makes more difficult data integration of different data streams. Even though different data streams are poorly linked to each other, there is an opportunity to add value to the farm management and decision-making processes by standardizing and integrating the different data sources available at the farm. Therefore, it is imperative to develop a system that can collect, integrate, manage, and analyze on- and off-farm data in real-time for practical and relevant actions: The Dairy Brain project. This is a trans-disciplinary research and extension project that engages multi-disciplinary scientists, dairy farmers, and industry professionals. We are using the state-of-the-art database management system from the University of Wisconsin-Madison Center for High Throughput Computing to develop our Agricultural Data Hub (AgDH) that connects and analyzes cow and herd data on a permanent basis. This involves cleaning and normalizing the data as well as allowing data retrieval on demand.The Dairy Brain, a suite of predictive and prescriptive analytics modules that leverages the AgDH to provide insight to the management of dairy operations and serve as an exemplar of an ecosystem of connected services. Therefore, decision support tools are developed to add value to the data and improve farm management at different levels.

Pasture renewal in the Waikato and Bay of Plenty regions: An overview of farmer practice, experience and attitudes

2011 ◽  
Vol 15 ◽  
pp. 21-24
Author(s):  
Kelly Smith ◽  
R. Brazendale
Keyword(s):  
Decision Making ◽  
Online Survey ◽  
Information Sources ◽  
Farm Management ◽  
Dairy Farmers ◽  
Practice Experience ◽  
Rate Information ◽  
And Performance ◽  
On Farm ◽  
Over Time

Pasture persistence and performance, and associated issues such as black beetle, are of central concern to dairy farmers. The Pasture Renewal Survey 2010 aimed to better understand farmers' confidence in their ability to make informed decisions on their pasture renewal practices, their satisfaction with the success of this decision-making and the performance of their renewed pastures over time. In addition, the survey investigated their attitudes to information sources and what barriers they saw to improving pasture performance on farm. A postal and online survey elicited responses from 776 dairy farmers in the Waikato and Bay of Plenty regions. The four main findings of the work were: 1. Farmers are more confident of their ability to make appropriate on-farm management decisions for renewed pasture than they are of their ability to choose appropriate cultivars and endophyte. 2. Farmers, while generally satisfied with their own success in renewing pasture, reported decreasing levels of satisfaction with renewed pastures over the 3 successive years following renewal. 3. Farmers do not rate information sources very highly in terms of their usefulness in relation to pasture renewal. 4. Weather-related issues and pest-related issues (particularly black beetle) were the most commonly identified barriers to improving pasture performance. Keywords: farmer confidence, farmer satisfaction, information sources, pasture renewal.

scholarly journals Changing Attitudes towards Occupational Medicine with Blended Learning Methods Is Possible among Medical Students in Spain: A Longitudinal Study

2022 ◽  
Vol 19 (2) ◽  
pp. 878
Author(s):  
Isabel Iguacel ◽  
Begoña Abecia ◽  
José Luis Bernal ◽  
Begoña Martínez-Jarreta
Keyword(s):  
Factor Analysis ◽  
Medical Students ◽  
Blended Learning ◽  
Occupational Medicine ◽  
Teaching Method ◽  
Professional Performance ◽  
Face To Face ◽  
La Mancha ◽  
Before And After ◽  
Changing Attitudes

Medical students generally express a low interest in Occupational Medicine. We aimed to assess the attitudes and changes in attitudes of students towards this area after completing a course on Occupational Medicine in two Medical Universities in Spain (Zaragoza and Castilla-La Mancha). The teaching method included blended learning as a model that used online virtual patient platforms (CASUS) and/or EMUTOM, as well as traditional methods such as face-to-face teaching. A total of 526 students (98 of whom attended the University of Castilla-La Mancha) participated during three academic years (2015–2016, 2016–2017 and 2017–2018). The validation of the questionnaire was carried out using reliability, exploratory and confirmatory factor analysis. For the analysis of internal consistency and discrimination, Cronbach’s alpha was used. The adequacy of the factor analysis was measured by means of KMO, and a correlation matrix was examined by means of Bartlett’s test of sphericity. To identify differences between students before and after completing the course, the Mann–Whitney U-test for independent samples was used. Our results show that despite a negative or neutral attitude towards Occupational Medicine, the acquisition of competences and skills in this area and their training were recognized as fundamental for their future professional performance as doctors in any specialty.

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