Principal components approach for the linearization of yield prediction and tilth index equations

Pedro Andrade, Jeff Mitchell, Bryan Jenkins, Shrini Upadhyaya

Research output: Contribution to conferencePaper

Abstract

After 11 consecutive years of sustained farm input management treatments, a selection of soil physical properties was analyzed using a multivariate scheme to explore the impact that management systems (conventional, low input, and organic) have had on the physical state of Yolo loam soil. The crop in question was dry beans, and the time frame was the beginning of the flowering stage (46 days after planting). Principal Component Analysis was used to reduce the number of variables required to estimate the Tilth Index. The above strategy resulted in the suppression of multicollinearity, which in turn allowed for a more reliable estimation of variable coefficients once they were transformed back to the original coordinate system. Based on empirical considerations in recent reports of soil tilth definition and quantification, alternative linear expressions of the soil tilth index were developed using the coefficients of a principal component analysis. Even though this brought apparent improvements in the alternative expressions of soil tilth index, such as values having a wider range while remaining normalized from zero to unity, correlation with yield did not improve significantly.

Original languageEnglish (US)
Pages2987-2995
Number of pages9
StatePublished - Dec 1 2000
Event2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century - Milwaukee, WI., United States
Duration: Jul 9 2000Jul 12 2000

Other

Other2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century
CountryUnited States
CityMilwaukee, WI.
Period7/9/007/12/00

Keywords

  • Management systems
  • Principal components
  • Soil strength
  • Soil tilth
  • Yield

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Andrade, P., Mitchell, J., Jenkins, B., & Upadhyaya, S. (2000). Principal components approach for the linearization of yield prediction and tilth index equations. 2987-2995. Paper presented at 2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century, Milwaukee, WI., United States.