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Published in Agron J 101:1363-1371 (2009)
DOI: 10.2134/agronj2008.0225x
© 2009 American Society of Agronomy
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BIOFUELS

Nitrogen Influences Biomass and Nutrient Partitioning by Perennial, Warm-Season Grasses

Andrew H. Heggenstallera,*, Kenneth J. Mooreb, Matt Liebmanb and Robert P. Anexc

a Midwest Research Institute, 425 Volker Blvd., Kansas City, MO 64110
b Dep. of Agronomy, Iowa State Univ., Ames, IA 50011
c Dep. of Agriculture and Biosystems Engineering, NSRIC Buiding, Iowa State Univ., Ames, IA 50011

* Corresponding author (aheggenstaller{at}mriresearch.org).

Recent attention has focused on the use of perennial, warm-season grasses as renewable energy crops. The objective of this study was to assess the effects of N fertilization on partitioning of biomass and nutrients between above- and belowground plant components by four warm-season grass species in Iowa. In 2006–2007, established stands of big bluestem (Andropogon geradii Vitman), switchgrass (Panicum virgatum L.), indiangrass [Sorghastrum nutans (L.) Nash], and eastern gamagrass [Tripsacum dactyloides (L.) L.] were fertilized with 0, 65, 140, or 220 kg N ha–1 in the spring and harvested following frost in the fall. Dependent on grass species and year, yield response to N was linear or quadratic. Optimum yield after 2 yr was 13.5 Mg ha–1 at 140 kg N ha–1 for all grasses except eastern gamagrass, which demonstrated lower yield and a consistent linear N response. Nitrogen inputs had pronounced but grass-specific effects on root biomass and nutrient partitioning. For big bluestem and switchgrass, 140 kg N ha–1 maximized root biomass and favored allocation of nutrients to roots over shoots. In contrast, for indiangrass and eastern gamagrass, root biomass and root nutrient allocation were adversely affected by N inputs. For all grasses, 220 kg N ha–1 shifted allocation of nutrients to shoots over roots. Selection of crops and management practices that optimize yield, and maintain a high level of resource partitioning to roots at low to intermediate N input rates will promote the development of productive and efficient bioenergy systems.

Abbreviations: OPT, optimal partitioning theory • PLS, pure live seed • RSR, root–shoot ratio

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Received for publication December 12, 2008.





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