refereed PUBLICATIONS
Book chapters
1.
Kravchenko, A., and R.
Zhang, 1999. Estimation of soil
hydraulic conductivity from particle-size distribution. In Th M. van Genuchten (ed.) Characterization and Measurement of the
Hydraulic Properties of Unsaturated Porous Media.
2.
Kravchenko, A.N. and Y.A. Pachepsky. 2004. Fractal techniques
to assess spacial variability in soil processes. In J.Ŕlvarez-Benedí and R. Muńoz-Carpena (ed.) Soil-Water-Solute Process Characterization: An Integrated Approach.
pp. 617-638. CRC Press.
2007
1. Kravchenko, A.N. and G. P. Robertson. 2007. Can dense topographical information and long-term yield
monitor data substantially improve total soil C mapping by regression kriging? Agronomy J. 99: 12-17.
2. Hao, X. and A.N. Kravchenko.
2007. Management practice effects on surface
total carbon: Differences along a textural gradient. Agronomy J. 99:18-26.
3.
Mackintosh, C.A., J.
Lewis, L.E. Radmer, S. Shin, S.J. Heinen,
L.A. Smith, M.N. Wyckoff, R. Dill-Macky, C.K. Evans,
S. Kravchenko, G.D. Baldridge,
R.J. Zeyen, and G.J. Muehlbauer.
2007. Overexpression of defense response genes in
transgenic wheat enhances resistance to Fusarium Head
Blight. Plant Cell Reports
26:479-488.
4. Blanchong
J.A., K. T. Scribner, A. N. Kravchenko and S.R. Winterstein. 2007. TB infected deer are more closely related than non-infected
deer. Biology Letters
(in press).
5.
Melakeberhan, H., A. Xu, A. Kravchenko, S. Mennan, and
2006
6. Martin, N., G. Bollero, N.R.
Kitchen, A.N. Kravchenko,
K. Sudduth, W.J.Wiebold, D.
Bullock. 2006. Two classification
methods for developing and interpreting productivity zones using site
properties. Plant and Soil 288:
357-371.
7. Dale, T.M., K.A. Renner, and A.N.
Kravchenko. 2006. Effect of herbicides on weed control
and sugarbeet (Beta vulgaris)
yield and quality. Weed
Technology 20: 150-156.
8.
Kravchenko, A.N., G.P.
Robertson, X.Hao, and D.G. Bullock. 2006. Management
practice effects on surface total carbon: Differences in spatial variability
patterns. Agronomy J. 98: 1559-1568.
9. Kravchenko, A.N., G. P. Robertson, S.S. Snapp,
and A.J.M. Smucker. 2006. Using spatial variability
information for improved estimates of soil carbon. Agronomy J. 98:823-829.
10.
Harrigan, T.M., B.B.
Bailey, W. Northcott, A.N. Kravchenko
and C.A.M. Laboski. 2006. Field
Performance of a Low-Disturbance, Rolling-Tine Dribble-Bar Manure
Applicator. Applied Engineering in
Agriculture 22: 33-38.
2005
11.
Salehi, H., Z. Seddighi, S. Kravchenko, and M. B. Sticklen.
2005. Expression of the cry1Ac in
Common Bermudagrass (Cynodon dactylon [L.] Pers. ‘Arizona
Common’) via Agrobacterium-Mediated
Transformation and Control of Black Cutworm (Agrotis ipsilon Hufnagel.
J. Am. Soc. Hort.
Sci., 130(4): 619-623.
12.
Oraby, H.F., C.B. Ransom, A.N. Kravchenko,
and M.B. Sticklen. 2005. Barley HVA1 gene confers salt tolerance in R3 transgenic oat. Crop Sci.
45:2218-2227.
13.
Hao, X., R. Zhang, and A. Kravchenko.
2005. A mass-conservative switching method for simulating
saturated–unsaturated flow. J. of
Hydrology. 311:254-265.
14.
Kravchenko, A.N., T. M. Harrigan, and B. B.
Bailey. 2005. Soil electrical conductivity as a covariate to improve the
efficiency of field experiments. Trans.
ASAE. 48:1353-1357.
15.
Hansen, E., S. Berkheimer, A.Schilder, R. Isaaks, and S. Kravchenko. 2005. Rasberry variety performance in
16.
Kravchenko, A.N., G. P. Robertson, K.D. Thelen,
and R.R. Harwood. 2005. Management, topographical, and weather effects on
spatial variability of crop grain yields. Agronomy J. 97: 514-523.
17.
Rugh, C.L., E. Susilawati, A.N. Kravchenko, J.C. Thomas. 2005. Biodegrader
metabolic expansion during PAH rhizoremediation. Zeitschrift fur Naturforschung
60c:331-339
18.
Hao, X., R. Zhang, and A. Kravchenko.
2005. Effects of Root Density Distribution Models on Root Water Uptake
and Water Flow under Irrigation. Soil
Sci. 170:167-174.
2004
1.
Olatinwo, R.O., A.M.C. Schilder, and A.N.
Kravchenko. 2004. The incidence and causes of
post-harvest fruit rot in stored
2.
Bughrara, S.S., D.R.Smitley, D. Cappaert, and A.N. Kravchenko.
2004. European chafer (Coleoptera:Scarabaeidae)
consumption of roots of cool season turfgrasses:
comparisons among 12 cultivars in four turfgrass
species. J. Economic Entomology.
96(6):1898-1904.
3.
Thelen, K.D., A.N. Kravchenko and C.D.
Lee. 2004. Utility of optical remote sensing for
detecting herbicide injury in soybean. Weed Technol. 18:292-297.
4.
Daverede, I.C., A.N. Kravchenko, R.G. Hoeft, E.D. Nafziger, D.G.
Bullock, J.J. Warren and L.C. Gonzini. 2004.
Phosphorus runoff from incorporated and surface-applied fertilizer and manure. J.Environ. Quality 33:1535-1544.
5.
Officer, S.J., A. Kravchenko, G. A. Bollero, K.A. Sudduth, N.R. Kitchen, W.J. Wiebold,
H.L. Palm, and D.G. Bullock. 2004.
Relationships between soil bulk electrical conductivity and the
principal component analysis of topography and soil fertility values. Plant and Soil. 258(1): 269-280.
6.
Kravchenko, A.N., K. Thelen, D.G. Bullock,
and N. R. Miller. 2003. Relationship
between crop grain yield, topography and soil electrical conductivity studied
with cross-correlograms. Agronomy J. 95: 1132-1139.
1997-2004
7.
Kravchenko, A.N. 2003. Effect of
spatial structure on mapping accuracy and performance of interpolation methods.
Soil Sci. Soc.
Am. J. 67: 1564-1571.
8.
Daverede, I.C., A.N. Kravchenko, R.G. Hoeft, E.D. Nafziger, D.G.
Bullock, J.J. Warren and L.C. Gonzini. 2002.
Phosphorus runoff: impact of tillage and soil phosphorus levels. J.Environ. Quality 32: 1436-1444.
9.
Kravchenko, A.N. 2002. Application of the joint multifractal
theory to study relationships between crop grain yields, soil electrical
conductivity and topography. In M. M. Novak (ed.) Emergent Nature, pp.135-143, World Scientific. Proceedings of the 7th
international Fractal 2002 Conference,
10.
Kravchenko, A.N., R.Omonode, G. A. Bollero, and
D.G. Bullock. 2002. Quantitative mapping of soil drainage classes
using topographical data and soil electrical conductivity. Soil Sci. Soc. Am. J. 66: 235-243.
11.
Kravchenko, A.N. and D.G. Bullock.
2002. Spatial variability of
soybean quality data as a function of field topography: I. Spatial data
analysis. Crop Sci. 42:804-815.
12.
Kravchenko, A.N. and D.G. Bullock.
2002. Spatial variability of
soybean quality data as a function of field topography: II. A proposed
technique for calculating the size of the area for differential soybean
harvesting. Crop Sci. 42:816-821.
13.
Kravchenko, A.N., D. G. Bullock, and C.W. Boast. 2000. Analyzing
relationships between crop yield and terrain slope using theory of joint multifractal measures.
Agronomy J. 92:1279-1290.
14.
Kravchenko, A.N., and D. G. Bullock. 2000. Correlation of grain yield
with topography and soil properties. Agronomy J. 92:75-83.
15.
Kravchenko, A.N., C.W. Boast, and D. G. Bullock. 1999. Multifractal analysis of the soil spatial variability. Agronomy J. 91:1033-1041.
16.
Kravchenko, A., and D. G. Bullock. 1999. A comparative study of
interpolation methods for mapping soil properties. Agronomy J. 91:393-400.
17.
Kravchenko, A., and R. Zhang. 1998. Estimating the soil water
retention function from particle-size distributions: a fractal approach. Soil Science 163:171-179.
18.
Zhang, R., P. Shouse, S. Yates, and A. Kravchenko,
1998. Applications of geostatistics in soil science. Trends
in Soil Science 2:95-104.
19.
Kravchenko, A., and R. Zhang, 1997. Estimation of soil water retention
function from texture and structure data: fractal approach. In M.M. Novak and T.G. Dewey (eds.), Fractal Frontiers. pp. 329-338, World
Scientific, Proceedings of the 4th international Fractal 1997
Conference,
20.
Kravchenko, A., and R. Zhang, 1997.
Estimation of precipitation using geostatistical
analysis with geographical and topographical information. Hydrological Science and
Technology 13: 11-23.