Short Communication: Spatial Dependence Analysis as a Tool to Detect the Hidden Heterogeneity in a Kenaf Field

Abstract

Ever since research attention was first paid to phenomics, it has mainly focused on the use of high throughput phenotyping for characterizing traits in an accurate and fast manner. It was recently realized that its use has huge potential in precision agriculture. However, the focus so far has mainly been on ”obtain large data set”, not on “how to analyze them”. Here, the expanded application of high throughput phenotyping combined with special dependence analysis is demonstrated to reveal the hidden field heterogeneity, using a kenaf field. Based on the method used in the study, the results showed that the growth of kenaf in the field was grouped into two, which led to a large variation of sources among replications. This method has potential to be applied to detect hidden heterogeneity, to be utilized and applied in plant breeding not only for better analysis, but also for better management of fields in precision agriculture.

Keywords

• phenomics
• field heterogeneity
• spatial dependence
• plant breeding
• precision agriculture