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Monday, October 22, 2018

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3070. Tanaka, D.L. and J.K. Aase. 1989. Influence of topsoil removal and fertilizer application on spring wheat yields.. Soil Sci. Soc. Am. J. 53:228-232.
In 3 of 5 years, soil removal treatments reduced spring wheat yields an average of 9, 28, and 45% for 0.06, 0.12, and 0.18 m soil removal treatments, respectively, over all fertilizer treatments. The data suggest that P was the most limiting nutrient and additions of N fertilizer without P resulted in small yield increases.

3460. Kaiser, V.G.. 1965. Soil and water conservation for dry farmlands of Columbia River Basin.. Paper presented at Tri-state meeting of Supervisors and SCS personnel, Spokane, WA.
Discusses historical farming trends in eastern WA. Estimates yields to be 30% lower than their potential due to soil erosion. Cites past practices such as sweet clover use, hilltop windbreaks, and grass waterways that were very benificial. Proposes farm program change from acreage base to land capability base. More emphasis on spring wheat versus winter wheat, which reduces erosion by about 50%.

3762. Krauss, H.A. and R.R. Allmaras. 1982. Technology masks the effects of soil erosion on wheat yields - A case study in Whitman County, WA.. IN: Determinants of soil loss tolerance, Am. Soc. Agron./SSSA.
This study seperates yield increases due to technological advances from yield declines due to soil erosion. The average soil productivity decrease from erosion was 10.8 bu/ac. Analysis was carried out by land capability class to reveal different erosion impacts across the landscape. Real yields are increasing on 67% of cropland, and rapidly declined on 18% of croplands. T: yields of wheat in Whitman Co. for each decade since 1936. Winter wheat production and technology inputs in Whitman Co. from 1930-1979. Sheet and rill erosion in Whitman Co. from 1940-1977. Land capability subclasses and their estimated contribution to soil erosion in Whitman Co. Soil erosion and wheat productivity changes as related to soil capability subclasses in Whitman Co. Comparison of current yield distribution with that predicted.

7424. Walker, D.J. and D.L. Young. 1982. Technical progress in yields - no substitute for soil conservation.. ID Agr. Expt. Sta. CIS #671.
Technological progress increased yield damage from erosion; higher yield reduction with successive erosion; yield damage from conventional tillage in wheat-pea rotation estimated at $8 for one year; no assurance that technology will continue to offset erosion - induced yield losses; leveling off yields in the last several years. T: erosion and yield change; technology and yield.

7743. Young, D.L., D.B. Taylor and R.I. Papendick. 1985. Separating erosion and technology impacts on winter wheat yields.. IN: Erosion and Productivity (Proc. Natl. Symp. on Erosion and Productivity).
This paper: 1) presents a procedure for disaggregating erosion damage from technology gains on crop yields; 2) examines how additive vs. multiplicative differences between technology and topsoil erosion influence real assessments of erosion damage; 3) presents statistical estimates of the relationship between winter wheat yields and topsoil depth in the Palouse; 4) statistically tests whether technology interacted additively or multiplicatively with topsoil depth in influencing wheat yields. The conclusion supports contentions that recent agricultural technical progress mask serious long-term degredation of soil productivity, which will stunt future yield payoff to technical progress. It reinforces the economic justification for soil conservation. T: Comparison of additive and multiplicative technical progress impacts on crop yield response to topsoil depth. Comparisons of winter wheat yield-topsoil relationships from 1950 and 1970.

10287. Bhatti, A.U., D.J. Mulla, and B.E. Frazier. 1991. Estimation of soil properties and wheat yields on complex eroded hills using geostatistics and thematic mapper images.. Remote Sensing Environ. 37:181-191.
Spatial variability of organic carbon, soil P, and wheat yields was measured in eastern Washington using classical statistics and geostatistics. Organic carbon content was estimated from Landsat Thematic Mapper images. Goestatistics revealed strong spatial correlations relative to classical statistics. The spatial patterns were associated with changes in surface organic matter content across the landscape resulting from extensive erosion.

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