A comparison of three nitrate leaching mitigation treatments with dicyandiamide using lysimeters

Author(s):  
Peter Bishop ◽  
Paramsothy Jeyakumar
Keyword(s):  
Author(s):  
Cecile De Klein ◽  
Jim Paton ◽  
Stewart Ledgard

Strategic de-stocking in winter is a common management practice on dairy farms in Southland, New Zealand, to protect the soil against pugging damage. This paper examines whether this practice can also be used to reduce nitrate leaching losses. Model analyses and field measurements were used to estimate nitrate leaching losses and pasture production under two strategic de-stocking regimes: 3 months off-farm or 5 months on a feed pad with effluent collected and applied back to the land. The model analyses, based on the results of a long-term farmlet study under conventional grazing and on information for an average New Zealand farm, suggested that the 3- or 5-month de-stocking could reduce nitrate leaching losses by about 20% or 35-50%, respectively compared to a conventional grazing system. Field measurements on the Taieri Plain in Otago support these findings, although the results to date are confounded by drought conditions during the 1998 and 1999 seasons. The average nitrate concentration of the drainage water of a 5-month strategic de-stocking treatment was about 60% lower than under conventional grazing. Pasture production of the 5-month strategic de-stocking regime with effluent return was estimated based on data for apparent N efficiency of excreta patches versus uniformlyspread farm dairy effluent N. The results suggested that a strategic de-stocking regime could increase pasture production by about 2 to 8%. A cost/ benefit analysis of the 5-month de-stocking system using a feed pad, comparing additional capital and operational costs with additional income from a 5% increase in DM production, show a positive return on capital for an average New Zealand dairy farm. This suggests that a strategic destocking system has good potential as a management tool to reduce nitrate leaching losses in nitrate sensitive areas whilst being economically viable, particularly on farms where an effluent application system or a feed pad are already in place. Keywords: dairying, feed pads, nitrate leaching, nitrogen efficiency, productivity, strategic de-stocking


2002 ◽  
Vol 12 (2) ◽  
pp. 250-256 ◽  
Author(s):  
Hudson Minshew ◽  
John Selker ◽  
Delbert Hemphill ◽  
Richard P. Dick

Predicting leaching of residual soil nitrate-nitrogen (NO3-N) in wet climates is important for reducing risks of groundwater contamination and conserving soil N. The goal of this research was to determine the potential to use easily measurable or readily available soilclimatic-plant data that could be put into simple computer models and used to predict NO3 leaching under various management systems. Two computer programs were compared for their potential to predict monthly NO3-N leaching losses in western Oregon vegetable systems with or without cover crops. The models were a statistical multiple linear regression (MLR) model and the commercially available Nitrate Leaching and Economical Analysis Package model (NLEAP 1.13). The best MLR model found using stepwise regression to predict annual leachate NO3-N had four independent variables (log transformed fall soil NO3-N, leachate volume, summer crop N uptake, and N fertilizer rate) (P < 0.001, R2 = 0.57). Comparisons were made between NLEAP and field data for mass of NO3-N leached between the months of September and May from 1992 to 1997. Predictions with NLEAP showed greater correlation to observed data during high-rainfall years compared to dry or averagerainfall years. The model was found to be sensitive to yield estimates, but vegetation management choices were limiting for vegetable crops and for systems that included a cover crop.


2002 ◽  
Vol 1 (2) ◽  
pp. 300 ◽  
Author(s):  
F. X. M. Casey ◽  
N. Derby ◽  
R. E. Knighton ◽  
D. D. Steele ◽  
E. C. Stegman

2000 ◽  
Vol 29 (1) ◽  
pp. 251-261 ◽  
Author(s):  
J. T. Waddell ◽  
S. C. Gupta ◽  
J. F. Moncrief ◽  
C. J. Rosen ◽  
D. D. Steele

2021 ◽  
Vol 319 ◽  
pp. 107540
Author(s):  
Guangqiang Long ◽  
Lianhua Li ◽  
Ding Wang ◽  
Ping Zhao ◽  
Li Tang ◽  
...  

2021 ◽  
pp. 117330
Author(s):  
Wei Zhu ◽  
Jingsong Yang ◽  
Rongjiang Yao ◽  
Xiangping Wang ◽  
Wenping Xie ◽  
...  

CATENA ◽  
2021 ◽  
Vol 200 ◽  
pp. 105175
Author(s):  
Guia Cecchini ◽  
Anna Andreetta ◽  
Aldo Marchetto ◽  
Stefano Carnicelli

2013 ◽  
Vol 56 (1) ◽  
pp. 91-101 ◽  
Author(s):  
H. Q. Nguyen ◽  
R. S. Kanwar ◽  
N. L. Hoover ◽  
P. Dixon ◽  
J. Hobbs ◽  
...  

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