An Analysis of Soil Coring Strategies to Estimate Root Depth in Maize (Zea mays) and Common Bean (Phaseolus vulgaris)

• Published in: Plant phenomics Vol. 2020; p. 3252703
• Main Authors: Burridge, James D., Black, Christopher K., Nord, Eric A., Postma, Johannes A., Sidhu, Jagdeep S., York, Larry M., Lynch, Jonathan P.
• Format: Journal Article
• Language: English
• Published: United States American Association for the Advancement of Science (AAAS) 01.01.2020; AAAS
• Subjects: BASIC BIOLOGICAL SCIENCES; beans; canopy; computer simulation; corn; discriminant analysis; Phaseolus vulgaris; phenomics; root systems; soil; t-test; Zea mays
• ISSN: 2643-6515; 2643-6515
• DOI: 10.34133/2020/3252703

A soil coring protocol was developed to cooptimize the estimation of root length distribution (RLD) by depth and detection of functionally important variation in root system architecture (RSA) of maize and bean. The functional-structural model was used to perform soil coring at six locations on three different maize and bean RSA phenotypes. Results were compared to two seasons of field soil coring and one trench. Two one-sided -test (TOST) analysis of data suggests a between-row location 5 cm from plant base (location 3), best estimates whole-plot RLD/D of deep, intermediate, and shallow RSA phenotypes, for both maize and bean. Quadratic discriminant analysis indicates location 3 has ~70% categorization accuracy for bean, while an in-row location next to the plant base (location 6) has ~85% categorization accuracy in maize. Analysis of field data suggests the more representative sampling locations vary by year and species. and field studies suggest location 3 is most robust, although variation is significant among seasons, among replications within a field season, and among field soil coring, trench, and simulations. We propose that the characterization of the RLD profile as a dynamic rhizo canopy effectively describes how the RLD profile arises from interactions among an individual plant, its neighbors, and the pedosphere.