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13. Solute dynamics and the Ontario nitrogen index: I. Chloride leaching

Author

Reynolds, W. Daniel, primary, Drury, Craig F., additional, Parkin, Gary W., additional, Lauzon, John D., additional, Saso, Joseph K., additional, Zhang, Tiequan, additional, Liu, Kui, additional, Welacky, Tom W., additional, Yang, Xueming, additional, Tan, Chin S., additional, Calder, Wayne, additional, Oloya, Tom O., additional, and Reid, D. Keith, additional

Published
2016
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17. Solute dynamics and the Ontario nitrogen index: I. Chloride leaching1.

Author

Reynolds, W. Daniel, Drury, Craig F., Parkin, Gary W., Lauzon, John D., Saso, Joseph K., Zhang, Tiequan, Liu, Kui, Welacky, Tom W., Yang, Xueming, Tan, Chin S., Calder, Wayne, Oloya, Tom O., Reid, D. Keith, and Lupwayi, Newton

Subjects
NITROGEN, SOIL leaching, CHLORIDES, FERTILIZERS
Abstract

Copyright of Canadian Journal of Soil Science is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2016
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30. APPLICATION OF MARS IN SIMULATING PESTICIDE CONCENTRATIONS IN SOIL.

Author

Bern, Pobalee, Prasher, Shiv O., Patel, Ramanbhai M., Madani, Ali, Lacroix, Rene, Gaynor, John D., Tan, Chin S., and Kim, Seung H.

Subjects
*HERBICIDES, *PESTICIDES, *SOIL profiles, *SOILS, *REGRESSION analysis, *MULTIVARIATE analysis
Abstract

Efforts were made to predict pesticide concentrations at three different depths in the soil profile, using models developed with Multivariate Adaptive Regression Splines (MARS), a regression analysis model. The models were developed with independently collected data from the Eugene E Whelan Experimental Farm (Agriculture and Agri-Food Canada, Woodslee, Ontario, Canada) from 1992 to 1994. Data from 16 plots, subjected to four different tillage treatments and two different water table management practices, were used. The fate of three herbicides, namely atrazine [2-chloro-4-ethylamino-6-isopropylamino-1,3,5-triazine], metribuzin [4-amino-6-(1, 1-dimethylethyl)-3-(methylthio)-1,2,4-triazin-5(4H)-one], and metolachlor 12-chloro-N-(2-ethyl-6-methylphenyl)-N-(-2-methoxyl-1-methylethyl) acetamide], at three different soil depths were studied. The input variables for the models included Julian day, days after application of pesticide, measured herbicide concentrations, and cumulative figures for rainfall depth, air temperature, soil temperature, and potential evapotranspiration. Considering the limited size of the data set, a 10-fold cross-validation was performed to test and validate the model. Model predictions at the 0-10 cm depth were very close to the measured values, with model efficiencies varying from 83% to 99%. The predictions at the 10-15 cm depth generally varied from 33% to 83%, while the ones at the 15-20 cm depth were within 42% to 95%, with a few exceptions where the model predicted a single value, of the average observed concentrations. These results demonstrate that MARS was able to do a commendable job in simulating pesticide fate and transport in soil with limited data. [ABSTRACT FROM AUTHOR]

Published
2006

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