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oai:www.ideals.illinois.edu:2142/87663 2023-07-11 col_2142_5131 col_2142_34137 com_2142_5130 com_2142_34136 com_2142_397

Bullock, Donald G. Omonode, Rex Agbagi 2015-09-28T16:22:31Z 2015-09-28T16:22:31Z 10000-01-01 2001 2001 Principal component analysis showed that only 15 of 51 variables accounted for more than 80% of total soil variability. Component regression accounted for about 52%, and 39% of soybean and corn yields variability respectively. Particle size distribution and organic matter by influencing moisture and nutrient dynamics, were the most important factors determining yield variability in these soils. Made available in DSpace on 2015-09-28T16:22:31Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3023157.pdf: 7800292 bytes, checksum: c79c93ae1d0b156d8dabba774815d08f (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 88944 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community indefinitely during batch ingest of legacy ETDs U of I Only 190 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/87663 (MiAaPQ)AAI3023157 eng Agriculture, Soil Science Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability text Agronomy Agronomy University of Illinois at Urbana-Champaign Dissertation Ph.D.