scholarly journals Metrics and methods for characterizing dairy farm intensification using farm survey data

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0195286 ◽  
Author(s):  
Alejandra Gonzalez-Mejia ◽  
David Styles ◽  
Paul Wilson ◽  
James Gibbons
Keyword(s):  
Author(s):  
M.B. O'Connor ◽  
B. Addison ◽  
A.D. Miller

Recent dairy farm survey data suggest the sodium (Na) concentration in pastuies could be too low to maintain stock health on a number of farms. Trials have been established on three major soil groups in the Waikato to study: (a) the rates of NaCl rauired to raise Na concentrations in pasture; (b) the time required to do this; (c) the duration of the response; and (d) the effect of KCi on Na uptake. Na uptake in pasture was rapid initially, reaching a peak some 6 weeks after application. Thereafter the Na concentration in pasture declined gradually but after 30 weeks was still some 2 to 3 times the initial Na concentration. Soil Na levels followed a similar trend. Conclusions to date suggest an annual topdressing of NaCl at 100 kg/ha wll provide an adequate Na concentration in the pasture for animal health and production on a range of Walkato soils. In practice salt can be applied alone or mixed with other fertilisers. Where potassium is already high some replacement of NaCl for KCI in the fertiliser mixture can be considered. Regular monitormg by pasture analysts is recommended. Although salt applications will increase the Na content in the pasture, animal responses to Na supplementation have yet to be conclusively demonstrated. Research is planned with dairy cows in the Waikato to investigate this important aspect. Keywords: Salt, sodium chloride, pasture sodium, ryegrass, white clover pastures, topdressing, dairy cows


2013 ◽  
Author(s):  
Leo L. Timms ◽  
Kristen Schulte
Keyword(s):  

1994 ◽  
Vol 77 (11) ◽  
pp. 3460-3472 ◽  
Author(s):  
H.M. Spicer ◽  
L.A. Goonewardene ◽  
A.O. McNeil ◽  
W.L. Slack

2000 ◽  
Vol 40 (6) ◽  
pp. 805 ◽  
Author(s):  
D. V. Kerr ◽  
P. M. Pepper ◽  
R. T. Cowan

A knowledge-based decision support system called DAIRYPRO was applied to farm survey data to provide estimates of the achievable milk production for dairy farms in Queensland. The survey data were obtained from personal interviews conducted in 1994–95 involving 37–86% of farmers in 4 dairying districts in Queensland. Farms that had higher levels of milk production and a history of adopting proven management aids such as herd recording had production levels closer to achievable milk production. Measured milk yield relative to achievable milk production for 2 regions was significantly different from the other 2, while the age of the main decision maker was also a significant factor, with farmers aged 30–59 years producing closer to achievable milk production than any other age group (P<0.05). Seven percent of farms had measured production levels greater than the model’s estimation of achievable milk production.


Energy Policy ◽  
2021 ◽  
Vol 155 ◽  
pp. 112304
Author(s):  
Travis Grout ◽  
Jennifer Ifft ◽  
Anna Malinovskaya
Keyword(s):  

2013 ◽  
Vol 53 (9) ◽  
pp. 894 ◽  
Author(s):  
C. K. M. Ho ◽  
M. Newman ◽  
D. E. Dalley ◽  
S. Little ◽  
W. J. Wales

Changes in the farm operating and policy environments and a need to remain profitable under a cost-price squeeze have contributed to dairy systems in Australia and New Zealand becoming more intensive and complex in recent decades. Farm systems in both countries are now diverse, varying from being based predominantly on pasture with little purchased supplements, to those dependent on high levels of feed supplements and even having zero grazing. Dairy farm performance (defined in this paper as production or technical performance), return (return on assets or profit) and risk (variation in economic performance over time), and intensity of dairy systems was examined using farm survey data, case studies and existing published studies. The level of single technical performance measures, such as milk production, feed conversion efficiency and pasture consumption, prevailing in a business are not guides to the operating profit and return on assets of a business. In addition, when survey data of farm performance was grouped by return on assets, few farms were in the top 25% in successive years. Farms that performed consistently well were characterised by good, but not extreme, technical performance in a range of key areas, which translated to favourable business return (return on asset and profit). The knowledge and skills of farm managers are critical, and means that many different dairy systems can perform well physically and financially and successfully meet farmer goals. The relation between risk and the intensity of dairy systems was also investigated. Options that intensified systems generally resulted in higher net wealth for the farm owner, but almost always at increased risk. The best system for any farmer to operate is one which best meets their multifaceted preferences and goals, regardless of system type.


1988 ◽  
Vol 110 (3) ◽  
pp. 445-449 ◽  
Author(s):  
M. J. De Maine

SummaryDihaploids obtained from two tetraploids showed variation in tuber deformation resistance using a pendulum test and there were significant differences between them when used as parents in 2x × 4x crosses. Their ranking by tetraploid progeny means was the same as by clonal performance.However, whereas the pendulum test was useful for the rapid measurement of rheological properties of tubers, there was found to be no correlation of control cultivar rankings using this test with those obtained using the squeezing test or farm survey data.


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