Experimental precipitation manipulation impacts leaf economic trait relationships in a C4 perennial grass

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; US Forest Service

Version:  View help for Version V1

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Project Citation: 

US Department of Agriculture, and US Forest Service. Experimental precipitation manipulation impacts leaf economic trait relationships in a C4 perennial grass. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-31. https://doi.org/10.3886/E248796V1

Project Description

Project Title:  View help for Project Title Experimental precipitation manipulation impacts leaf economic trait relationships in a C4 perennial grass
Summary:  View help for Summary The data in this publication were used to examine the impacts of experimental precipitation manipulation (extremely dry, average, extremely wet) on the relationship between gene expression, biomass production, and the expression of three phenotypes that describe leaf economics strategies (leaf nitrogen concentration, leaf mass per area, photosynthetic rate on a leaf mass basis). Six tetraploid (4x) genotypes of the candidate bioenergy grass, switchgrass (Panicum virgatum), were used in a rainout shelter facility at the USDA-ARS Grassland Soil and Water Research Lab in Temple, Texas, USA. The study began in 2011; leaf economics trait data were collected in June 2012 and biomass production was measured at the end of the growing season in November 2012.
Original Distribution URL:  View help for Original Distribution URL https://www.fs.usda.gov/rds/archive/catalog/RDS-2024-0043

Scope of Project

Subject Terms:  View help for Subject Terms farming; biota; Forest & Plant Health; Botany; Natural Resource Management & Use; extreme precipitation; functional ecology; leaf economics strategy; leaf mass per area; local adaptation; Panicum virgatum; switchgrass; Texas; Temple
Geographic Coverage:  View help for Geographic Coverage Texas
Time Period(s):  View help for Time Period(s) 3/1/2011 – 11/1/2012
Data Type(s):  View help for Data Type(s) observational data
Collection Notes:  View help for Collection Notes DOI: https://doi.org/10.2737/RDS-2024-0043 Authors: Heckman, Robert W. ; Aspinwall, Michael J. ; Taylor, Samuel H. ; Lowry, David B. ; Khasanova, Albina ; Bonnette, Jason E. ; Razzaque, Samsad ; Fay, Philip A. ; Juenger, Thomas E. Publication year: 2025 (Downloaded 2026-05-30)


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