WHOLE FARM MANAGEMENT TO REDUCE NUTRIENT LOSSES FROM DAIRY FARMS: A SIMULATION STUDY

2006 ◽  
Vol 22 (5) ◽  
pp. 773-784 ◽  
Author(s):  
C. A. Rotz ◽  
J. Oenema ◽  
H. van Keulen
Keyword(s):  
Simulation Study ◽  
Dairy Farms ◽  
Farm Management ◽  
Nutrient Losses

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 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.

scholarly journals A Rainfall Simulation Study of Soil Erodibility and Available Nutrient Losses from Two Contrasting Soils in China

2015 ◽  
Vol 60 (1) ◽  
pp. 235-242
Author(s):  
Qingqing Fang ◽  
Lei Zhang ◽  
Haotian Sun ◽  
Guoqiang Wang ◽  
Zongxue Xu ◽  
...  
Keyword(s):  
Simulation Study ◽  
Rainfall Simulation ◽  
Soil Erodibility ◽  
Nutrient Losses

Whole-Farm Management to Reduce Nitrogen Losses from Dairy Farms

2003 ◽  
Author(s):  
C. Alan Rotz ◽  
Jouke Oenema ◽  
Herman van Keulen
Keyword(s):  
Dairy Farms ◽  
Farm Management ◽  
Nitrogen Losses

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.

The Extended Use Of The Milk Recording System In New Zealand

1946 ◽  
Vol 1946 (02) ◽  
pp. 20-25
Author(s):  
Arthur Ward
Keyword(s):  
New Zealand ◽  
Dairy Farms ◽  
Farm Management ◽  
Recording System ◽  
Soil Types ◽  
Dairy Herds ◽  
List Type ◽  
Young Stock ◽  
Improvement Plan ◽  
On Farm

In New Zealand, herd recording, since the introduction of the Herd Improvement Plan in 1938, has been governed in policy by the Herd Recording Council in Wellington. In 1938 the decision was taken to extend the scope of the milk recording movement so that milk records could be used for:— (1) improvement through breeding; (2) studies on farm management, including the prevention of disease in dairy herds; and (3) studies on problems of nutrition on dairy farms, em-bracing not only the feeding of dairy cattle and young stock, but also such matters as the influence of soil types, pasture species, etc. There are six Herd Improvement Associations and a representative of each Association is elected annually to the Herd Recording Council with full voting power.

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