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University of Illinois at Urbana-Champaign

Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agronomy
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Omonode, Rex Agbagi
Contributors dc:contributor
  • Bullock, Donald G.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3023157
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/87663

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Omonode, Rex Agbagi. Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/87663