Economics of Variable Rate Lime in Indiana

Bongiovanni, Rodolfo; Lowenberg‐DeBoer, James

doi:10.2134/1999.precisionagproc4.c70b

Cited by 15 publications

(13 citation statements)

References 3 publications

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“…Optimal decisions on lime and fertilizer should be taken jointly and account for dynamics. However, most studies are static and consider decisions separately for lime (e.g., Bongiovanni and Lowenberg-DeBoer (2000); Lukin and Epplin (2003); Mulungu et al (2013)) and fertilizer (e.g., Adams et al (2000); Basso et al (2011); Biermacher et al (2006); Robertson et al (2008); Wang et al (2014); Zhao et al (2006)). An additional consideration is that nitrogen fertilizer can acidify soil if it leads to nitrate leaching.…”

Section: Introductionmentioning

confidence: 99%

Optimal lime rates for soil acidity mitigation: impacts of crop choice and nitrogen fertiliser in Western Australia

et al. 2020

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Many agricultural soils are naturally acidic, and agricultural production can acidify soil through processes such as nitrogen (N) fixation by legumes and application of N fertiliser. This means that decisions about mitigation of soil acidity (e.g. through application of lime), crop rotation and N fertiliser application are interdependent. This paper presents a dynamic model to determine jointly the optimal lime application strategies and N application rates in a rainfed cropping system in Western Australia. The model accounts for two crop rotations (with and without a legume break crop), for the acid tolerance of different crop types, and for differences in the acidifying effect of different N fertilisers. Results show that liming is a profitable strategy to treat acidic soils in the study region, but that there are interactions between N and acidity management. Choice of fertiliser affects optimal lime rates substantially, with the use of a more acidifying ammonium-based fertiliser leading to higher lime rates. The optimal liming strategy is also sensitive to inclusion of a legume crop in the rotation, because its fixed N can be less acidifying than fertiliser, and it allows a reduction in fertiliser rates. Higher rainfall zones have greater N leaching, which contributes to a higher optimal rate of lime. We find that injection of lime into the subsoil increases profit. Optimal lime rates in the absence of subsoil incorporation are higher than usual current practice, although the economic gains from increasing rates are small.

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Section: Introductionmentioning

confidence: 99%

Optimal lime rates for soil acidity mitigation: impacts of crop choice and nitrogen fertiliser in Western Australia

et al. 2020

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“…year, and may be available from e-markets such as http: //www.e-markets.com and literatures (Snyder et al, 1998;DeBoer, 1998;Bongiovanni and Deboer, 1998;and Watkins et al, 1998 , 2000).…”

Section: Economic Benefit Evaluation Toolmentioning

confidence: 99%

Integrated spatial decision support system for precision agriculture

Wang

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This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps.

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“…Borgelt et al (1994) showed that 9 to 12% of an 8.8-ha field would have been overlimed and 37 to 41% of the field underlimed with a uniform application, with the range in percentages corresponding with different methods of lime determination used in their study. Bongiovanni and Lowenberg-DeBoer (2000) simulated corn and soybean yields using soil pH response functions from small-plot data and predicted larger annual returns with site-specific pH management. Pierce and Warncke (2000) applied five lime treatments for corn and soybean to small field plots (4.5 by 30.5 m) located according to interpolated surfaces from soil samples collected from 0.5-, 61-, and 91.5-m cells and found no corn response to lime but a critical pH value of approximately 6.0 below which soybean response to lime was observed.…”

Section: Introductionmentioning

confidence: 99%

“…Hergert et al (1997) in Nebraska, reported that corn and soybean grain yields were positively correlated with soil pH before liming (pH ranging between 5.5 and 8.0), but soybean yield was unrelated to soil pH after lime application, indicating that a threshold pH for soybean had been exceeded. Bongiovanni and Lowenberg-DeBoer (2000) in Indiana, explained the relationship between corn and soybean yield and soil pH by a quadratic-plateau function and determined optimum pH range of 6.5-7.5 for both corps.…”

Section: Introductionmentioning

confidence: 99%

Soil pH and Lime Management for Corn and Soybean

Pagani

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Economics of Variable Rate Lime in Indiana

Cited by 15 publications

References 3 publications

Optimal lime rates for soil acidity mitigation: impacts of crop choice and nitrogen fertiliser in Western Australia

Optimal lime rates for soil acidity mitigation: impacts of crop choice and nitrogen fertiliser in Western Australia

Integrated spatial decision support system for precision agriculture

Soil pH and Lime Management for Corn and Soybean

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