About Us | Help Videos | Contact Us | Subscriptions
 

Abstract

 

This article in AJ

  1. Vol. 100 No. 5, p. 1450-1462
     
    Received: Sept 8, 2007
    Published: Sept, 2008


    * Corresponding author(s): apmallar@iastate.edu
 View
 Download
 Alerts
 Permissions
 Share

doi:10.2134/agronj2007.0303

Variability of Soil Properties, Early Phosphorus and Potassium Uptake, and Incidence of Pests and Weeds in Relation to Soybean Grain Yield

  1. Jorge Sawchika and
  2. Antonio P. Mallarino *b
  1. a Inst. Nacional de Investigaciones Agropecuarias (INIA), La Estanzuela, Colonia, Uruguay
    b Dep. of Agron., Iowa State Univ., Ames, IA 50011

Abstract

Successful crop management requires understanding relationships between site characteristics and crop yield. We studied intercorrelations among soil and crop properties using factor analysis (FA) and principal components analysis (PCA), and their relationships with soybean [Glycine max (L.) Merr.] within-field yield variability. Site variables (22) measured on 0.2-ha cells of 12- to 20-ha areas of five Iowa fields were: elevation; soil texture; extractable nutrients; incidence of soybean cyst nematode (Heterodera glycines) (SCN), diseases, and weeds; soybean dry weight (DW), height, and P and K uptake at V5; plant height at R5; and grain yield. Agronomic interpretations of interrelationships among site variables were more straightforward for FA than for PCA. The factors conditions for early growth and nutrient uptake and intrinsic soil properties were present in all fields, plant P and K availability was present in three fields, and the factor soybean pests, weeds or plant growth was present in the other fields. Factor analysis and PCA accounted for 62 to 64% of the yield variability in the field with the largest yield CV (30%) and 5 to 35% in the other fields (CV 2.8 to 5.9%). Two factors related significantly to yield in two fields (plant P and K availability and intrinsic soil properties) while others were specific to one field. Factor analysis identified groups of interrelated site variables, showed how they accounted for yield variability, and showed that single measurements seldom account for most yield variation in a field.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © 2008. American Society of AgronomyCopyright © 2008 by the American Society of Agronomy