Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability
Omonode, Rex Agbagi
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https://hdl.handle.net/2142/87663
Description
Title
Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability
Author(s)
Omonode, Rex Agbagi
Issue Date
2001
Doctoral Committee Chair(s)
Bullock, Donald G.
Department of Study
Agronomy
Discipline
Agronomy
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Agriculture, Soil Science
Language
eng
Abstract
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.
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