Modelling whole farm profitability and environmental performance of four alfalfa‐grass binary mixtures in Eastern Canadian dairy farms

2021 ◽  
Author(s):  
Veronique Ouellet ◽  
Gaëtan F. Tremblay ◽  
Jean‐Philippe Laroche ◽  
Gilles Bélanger ◽  
Simon Binggeli ◽  
...  
2012 ◽  
Vol 17 (6) ◽  
pp. 706-719 ◽  
Author(s):  
Pierrick Jan ◽  
Dunja Dux ◽  
Markus Lips ◽  
Martina Alig ◽  
Michel Dumondel

Author(s):  
S.J. Dennis ◽  
R.W. Mcdowell ◽  
D.R. Stevens ◽  
D. Dalley

Currently spring forage crops are used to manage late calving cows on the dairy platform, protect spring pasture from pugging damage, and allow the animals to feed on a mix of brassica and pasture to transition to a pasture-based diet. In addition, like winter forage crops, they could contribute considerable water quality contaminants via surface runoff. However, it may be possible to manage farms without spring forage crops. Two Southland dairy farms were used to show: 1) flowweighted mean concentrations of many water quality contaminants in surface runoff from a spring-grazed forage crop were similar to those found in studies of winter-grazed forage crops; and 2) that, using growth rate data for 2007-2012, in no year was the modelled forage crop beneficial from a feed supply perspective, and in all years the farms had similar financial performances and fewer feed deficits under all-grass management. Hence, good pasture management (e.g. avoiding treading damage using a stand-off pad and short grazing times) may negate the need for a spring forage crop, decreasing contaminant losses while not impairing farm profitability. Keywords: surface runoff, transition diet, water quality, winter forage crop.


2011 ◽  
Vol 15 ◽  
pp. 3-6
Author(s):  
R. Brazendale ◽  
J.R. Bryant ◽  
M.G. Lambert ◽  
C.W. Holmes ◽  
T.J. Fraser

The farm system model, Farmax Dairy Pro, was used to evaluate the impact of new pastures on dairy farm profitability, assuming a range of pasture yields and qualities, and different levels of persistence in the new pastures, which were established on 10% of the farm annually. Scenarios were tested for Waikato, Taranaki, Canterbury and Southland dairy farm systems. Assuming a $6.50/kg MS milk payment and a response to pasture renewal of 10% in dry matter yield and a 0.6 MJ ME/kg DM increase in quality, increasing persistence from 4 years up to 8 years was modelled to increase dairy farm profitability by $271/ha to $478/ha. Management practices, including selections of cultivars and endophytes, that improve pasture persistence are likely to increase dairy farm profitability. Keywords: dairy farms, modelling, pasture renewal, persistence


Agriculture ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Jonathan Walsh ◽  
Robert Parsons ◽  
Qingbin Wang ◽  
David Conner

Many U.S. dairy farms, especially small farms, are struggling to stay in business due to difficult economic conditions. While switching to organic milk production has been identified as one way to improve farm profitability, there are very limited economic data available on organic dairy profitability and the key factors contributing to its variation among organic dairy farms. This study analyzes a 10-year longitudinal dataset of Vermont organic dairy farms (2006–2016), collected by the University of Vermont Extension, to identify key factors influencing farm profitability and quantify their impact on farm return on assets (ROA) through a multivariate fixed-effects regression model. Results suggest that significant factors for organic farm profitability measured by ROA include feeding management, farm management, farm size, milk price and input costs. Such findings may help many organic dairy farms identify potential areas for improving their profitability and conventional farms evaluate the potential financial benefits of switching to organic operation.


2017 ◽  
Vol 157 ◽  
pp. 241-257 ◽  
Author(s):  
Marie-Noëlle Thivierge ◽  
Guillaume Jégo ◽  
Gilles Bélanger ◽  
Martin H. Chantigny ◽  
C. Alan Rotz ◽  
...  

Author(s):  
Theodoros Skevas ◽  
Ioannis Skevas ◽  
Victor E. Cabrera

Abstract We hypothesize that spatial spillovers among neighboring farms are not only driven by spatial proximity, but also by farm profitability considerations. This hypothesis is tested by examining the role of spatial spillovers in shaping somatic cell counts (SCC) on Wisconsin dairy farms. Results show that neighborhood links defined both in terms of geographic proximity and farm profitability give rise to spatial spillovers that affect SCC. Significant differences in the estimated spatial spillovers are observed when defining the neighborhood space in terms of both farm profitability and geographic proximity as opposed to geographic proximity alone, with the data favoring the former specification.


2014 ◽  
Vol 140 ◽  
pp. 120-134 ◽  
Author(s):  
Stefano Gaudino ◽  
Irene Goia ◽  
Carlo Grignani ◽  
Stefano Monaco ◽  
Dario Sacco

2016 ◽  
Vol 124 ◽  
pp. 73-83 ◽  
Author(s):  
Silvia M.R.R. Marton ◽  
Albert Zimmermann ◽  
Michael Kreuzer ◽  
Gérard Gaillard

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