Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Switchgrass Biomass Simulation At Diverse Sites In The Northern Great Plains Of The U.S.

J. Kiniry, M. Schmer, K. Vogel, R. Mitchell
Published 2008 · Environmental Science

Save to my Library
Download PDF
Analyze on Scholarcy
Share
The Agricultural Land Management Alternatives with Numerical Assessment Criteria (ALMANAC) model, originally developed and tested in Texas, needs to be tested for switchgrass (Panicum virgatum L.) simulation in more northerly locations. The Northern Great Plains of the U.S. has regionally adapted native populations of switchgrass and has excellent potential for growing switchgrass as a biofuel crop. The objective of this study was to adjust switchgrass parameters (potential leaf area index (DMLA) and degree days to maturity (PHU)) for northern sites and populations and to validate the model against switchgrass data from diverse sites in this region. Three or 4 years of measured yield data were used from a ten field sites in North Dakota (ND), South Dakota (SD), and Nebraska (NE). ALMANAC realistically simulated mean annual switchgrass yields ranging from means of 4.75 to 9.13 Mg ha−1. Mean simulated yields were within 3%, 15%, and 9% of mean measured yields for NE, SD, and ND, respectively. Sensitivity analysis with temperature and rainfall demonstrated variable responses of potential yields depending on whether season duration, soil water, or soil nitrogen was the limiting factor at a site. ALMANAC shows promise as a useful tool for switchgrass evaluation and management in the northern Great Plains and in similar latitudes with low rainfall such as the East European Plain.
This paper references
10.2134/AGRONJ1997.00021962008900030009X
Evaluation of Two Maize Models for Nine U.S. Locations
J. Kiniry (1997)
10.2134/AGRONJ2001.9351148X
Maize and Sorghum Simulations with CERES-Maize, SORKAM, and ALMANAC under Water-Limiting Conditions
Y. Xie (2001)
10.1016/J.AGSY.2003.11.006
Maize yield potential: critical processes and simulation modeling in a high-yielding environment
J. Kiniry (2004)
Genetic control of switchgrass growth and development
GA Van Esbroeck (1996)
10.1016/S0308-521X(03)00002-7
The ALMANAC model's sensitivity to input variables
Y. Xie (2003)
10.1016/S0961-9534(99)00094-X
Method to estimate bioenergy crop feedstock supply curves
M. E. Walsh (2000)
10.1016/S0961-9534(97)10070-8
U.S. bioenergy crop economic analyses: status and needs.
M. E. Walsh (1998)
Method to estimate bioenergy crop feedstock supply CUIVes. Biomass Bioenergy
ME Walsh (2000)
Farrn­ scale production costs of switchgrass for biomass
RK Perrin (2008)
10.2135/CROPSCI2005.0264
Establishment Stand Thresholds for Switchgrass Grown as a Bioenergy Crop
M. Schmer (2006)
10.1111/J.1365-2486.2008.01662.X
Meeting US biofuel goals with less land: the potential of Miscanthus
E. Heaton (2008)
10.13031/2013.28665
A general, process-oriented model for two competing plant species
J. R. Kiniry (1992)
10.2134/agronmonogr45
Warm-season (C4) grasses
L. E. Moser (2004)
10.1016/S0961-9534(99)00095-1
Biomass and bioenergy applications of the POLYSYS modeling framework 1 1 Paper prepared for presenta
D. Ugarte (2000)
10.1016/S0961-9534(99)00036-7
Radiation use efficiency and leaf CO2 exchange for diverse C4 grasses.
J. Kiniry (1999)
Simulating grass productivity on diverse range sites in Texas
J. Kiniry (2002)
10.2134/AGRONJ1998.00021962009000050018X
Maize and Sorghum Simulation in Diverse Texas Environments
J. Kiniry (1998)
Switchgrass. In: Moser LE et al (ed) Warm-season (C4) grasses
KP Vogel (2004)
10.2135/CROPSCI2006.12.0780
Latitudinal and Longitudinal Adaptation of Switchgrass Populations
M. Casler (2007)
10.1016/J.BIOMBIOE.2005.06.003
Switchgrass simulation by the ALMANAC model at diverse sites in the southern US.
J. Kiniry (2005)
10.1016/s0961-9534(99)00095-1
Biomass and bioenergy applications of the POLYSYS modeling framework11Paper prepared for presentation at the Modeling Tools for Biomass and Bioenergy Conference, 8–10 April 1997 Knoxville, TN
D. Ugarte (2000)
10.2135/CROPSCI2004.2930
Latitudinal Adaptation of Switchgrass Populations
M. Casler (2004)
10.2134/AGRONJ2006.0119
Coastal Bermudagrass, Bahiagrass, and Native Range Simulation at Diverse Sites in Texas
J. Kiniry (2007)
10.2134/AGRONJ1991.00021962008300060027X
Describing and Quantifying Growth Stages of Perennial Forage Grasses
K. Moore (1991)
10.1016/s0140-6701(06)81805-9
Switchgrass simulation by the ALMANAC model at diverse sites in the southern US
J. R. Kinirya (2005)
10.1007/s12155-008-9005-y
Farm-Scale Production Cost of Switchgrass for Biomass
R. Perrin (2008)
10.2134/AGRONJ1996.00021962008800040018X
Simulating Alamo Switchgrass with the ALMANAC Model
J. Kiniry (1996)



This paper is referenced by
10.1016/J.ECOLMODEL.2010.05.013
Development and optimization of an Agro-BGC ecosystem model for C4 perennial grasses
A. D. Vittorio (2010)
10.1111/j.1757-1707.2011.01140.x
Simulating switchgrass biomass production across ecoregions using the DAYCENT model
Juhwan Lee (2012)
10.1002/JGRD.50387
Evaluation of a coupled event‐driven phenology and evapotranspiration model for croplands in the United States northern Great Plains
V. Kovalskyy (2013)
nergy sorghum biomass harvest thresholds and tillage effects on soil organic arbon and bulk density anyowa
N. Mekia (2012)
rocess-based simulation of prairie growth ody
J. Zilverberga (2017)
10.1016/J.INDCROP.2012.07.033
Energy sorghum biomass harvest thresholds and tillage effects on soil organic carbon and bulk density
M. Meki (2013)
10.3390/SU9081337
Crop Parameters for Modeling Sugarcane under Rainfed Conditions in Mexico
Alma Delia Báez-González (2017)
10.1111/GFS.12346
Simulating bimodal tall fescue growth with a degree‐day‐based process‐oriented plant model
J. Kiniry (2018)
10.2135/CROPSCI2012.01.0031
Variation within accessions of switchgrass germplasm for dry matter yield and forage quality in a semiarid environment.
J. Robins (2012)
10.1016/J.ECOLIND.2015.06.019
Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA
Y. Gu (2016)
10.1007/s11104-010-0376-4
Switchgrass for forage and bioenergy: harvest and nitrogen rate effects on biomass yields and nutrient composition
J. Guretzky (2010)
10.1007/s12155-011-9116-8
Clash of the Titans: Comparing Productivity Via Radiation Use Efficiency for Two Grass Giants of the Biofuel Field
J. Kiniry (2011)
10.1111/gcbb.12496
Environmental limitation mapping of potential biomass resources across the conterminous United States
C. Daly (2018)
10.1111/gcbb.12210
Perennial rhizomatous grasses as bioenergy feedstock in SWAT: parameter development and model improvement
E. Trybula (2015)
10.3390/w12020410
Comparative Analysis of Bioenergy Crop Impacts on Water Quality Using Static and Dynamic Land Use Change Modeling Approach
E. Kumar (2020)
10.2134/AGRONJ2008.0200X
Simulating switchgrass growth and development under potential and water-limiting conditions.
P. Grassini (2009)
10.1017/S1068280500007681
Social Cost of Biomass Energy from Switchgrass in Western Massachusetts
D. Timmons (2013)
10.1007/s12155-010-9094-2
Comparing Biomass Yields of Low-Input High-Diversity Communities with Managed Monocultures Across the Central United States
M. Johnson (2010)
10.1007/s12155-011-9136-4
Estimating a Technically Feasible Switchgrass Supply Function: a Western Massachusetts Example
D. Timmons (2011)
10.2489/jswc.73.2.120
Perennial vegetation impacts on stream discharge and channel sources of sediment in the Minnesota River Basin
B. Dalzell (2018)
10.1016/j.simpat.2018.05.006
Two-phase simulation-based location-allocation optimization of biomass storage distribution
Sojung Kim (2018)
The potential supply of cellulosic biomass energy crops in western Massachusetts
D. Timmons (2011)
10.1111/j.1757-1707.2011.01099.x
Field‐scale soil property changes under switchgrass managed for bioenergy
M. Schmer (2011)
10.3390/agronomy10030328
A Review of Modeled Water Use Efficiency of Highly Productive Perennial Grasses Useful for Bioenergy
J. R. Kiniry (2020)
10.2134/AGRONJ14.0588
Two‐Year Growth Cycle Sugarcane Crop Parameter Attributes and Their Application in Modeling
M. Meki (2015)
10.1016/J.ECOLMODEL.2017.02.004
Process-based simulation of prairie growth
Cody J. Zilverberg (2017)
10.2134/AGRONJ2010.0280
Switchgrass Leaf Area Index and Light Extinction Coefficients
J. Kiniry (2011)
10.1007/s12155-017-9879-7
Legacies in Switchgrass Resistance to and Recovery from Drought Suggest That Good Years Can Sustain Plants Through Bad Years
C. Hawkes (2017)
10.2134/AGRONJ2011.0195
Temporal and spatial variation in switchgrass biomass composition and theoretical ethanol yield.
M. Schmer (2012)
10.2134/ADVAGRICSYSTMODEL5.C6
Modeling to Evaluate and Manage Water and Environmental Sustainability of Bioenergy Crops in the United States
J. Kiniry (2015)
10.1890/12-0436.1
Spatial forecasting of switchgrass productivity under current and future climate change scenarios.
K. D. Behrman (2013)
10.1007/s12155-016-9734-2
Dedicated Energy Crops and Crop Residues for Bioenergy Feedstocks in the Central and Eastern USA
R. Mitchell (2016)
See more
Semantic Scholar Logo Some data provided by SemanticScholar