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United States Department of Agriculture

Agricultural Research Service

Title: Simulation of Grass/legume Pasture Yield As Influenced by Soil Water, Temperature and Nitrogen

Authors
item Peters, Robert - USDA-ARS (POST DOC)
item Hill, Robert - UTAH STATE UNIVERSITY

Submitted to: ASA-CSSA-SSSA Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: November 6, 2005
Publication Date: November 6, 2005
Citation: Peters, R.T., Hill, R.W. 2005. Simulation of grass/legume pasture yield as influenced by soil water, temperature and nitrogen [abstract]. Agronomy Abstracts, ASA-CSSA-SSSA Annual Meeting, Salt Lake City, Utah. 2005 CDROM.

Technical Abstract: A computer simulation model (PASTMODII) of the yield response of grass/legume mixture pastures to soil water, temperature and nitrogen was created and tested. PASTMODII was build upon the framework of a single variety grass model PASTMOD, which did not include root growth, soil temperature or nitrogen effects. PASTMODII operates on a daily time step over a growing season and compiles harvest and season total yields. It consists of five sub-models; root mass growth and distribution, soil water content, soil temperature and heat flow, soil nitrogen dynamics, and grass and legume growth. Most of the model components were adapted from algorithms validated by previous research. However, equations for modeling the following were introduced: attributing transpiration to each separate species, calculating nitrogen fixation and uptake by legumes and grasses separately, calculating total photosynthate production in a mixed canopy and partitioning this between grasses and legumes, dry matter removal from each species due to preferential grazing, and root growth and distribution in the soil. The modeled results were compared to a grazed research study on an orchardgrass-birdsfoot trefoil mixture at the Caine research dairy in Cache Valley of northern Utah, and at a mechanically harvested site of the same mixture at a high elevation site near Randolph, Utah. Although the model matched the measured results reasonably well lending credence to the methodologies used, additional work needs to be done to calibrate the model input parameters.

Last Modified: 10/25/2014
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