Estimates of Biomass Yield for Perennial Bioenergy Grasses in the USA

Song, Yang; Landuyt, W.; Kheshgi, Haroon S.; Khanna, Madhu

doi:10.1007/s12155-014-9546-1

Cited by 37 publications

(54 citation statements)

References 61 publications

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“…Previous research has already led to the design of best management practices for many warm-season grasses (Mitchell, 2013) where many of those studies, either field-based or modeling, have looked at crop comparisons across locations, years, and/or fertilizer regimes (Lee, Mitchell, Heaton, Zumpf, & Lee, 2018;Song, Jain, Landuyt, Kheshgi, & Khanna, 2014;Wang, Lebaauer, & Dietze, 2010). The review of Wullschleger, Davis, Borsuk, Gunderson, and Lynd (2010), for example, suggested that 100 kg N/ha could be considered an optimum for both upland and lowland switchgrass ecotypes.…”

Section: Introductionmentioning

confidence: 99%

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

et al. 2019

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The production of dedicated energy crops on marginally productive cropland is projected to play an important role in reaching the US Billion Ton goal. This study aimed to evaluate warm‐season grasses for biomass production potential under different harvest timings (summer [H1], after killing frost [H2], or alternating between two [H3]) and nitrogen (N) fertilizer rates (0, 56, and 112 kg N/ha) on a wet marginal land across multiple production years. Six feedstocks were evaluated including Miscanthus x giganteus, two switchgrass cultivars (Panicum virgatum L.), prairie cordgrass (Spartina pectinata Link), and two polycultures including a mixture of big bluestem (Andropogon gerardii Vitman), indiangrass (Sorghastrum nutans), and sideoats grama (Bouteloua curtipendula [Michx.] Torr.), and a mixture of big bluestem and prairie cordgrass. Across four production years, harvest timing and feedstock type played an important role in biomass production. Miscanthus x giganteus produced the greatest biomass (18.7 Mg/ha), followed by the switchgrass cultivar “Liberty” (14.7 Mg/ha). Harvest in H1 tended to increase yield irrespective of feedstock; the exception being M. x giganteus that had significantly lower biomass when harvested in H1 when compared to H2 and H3. The advantage H1 harvest had over H2 for all feedstocks declined over time, suggesting H2 or H3 would provide greater and more sustainable biomass production for the observed feedstocks. The N application rate played an important role mainly for M. x giganteus where 112 kg N/ha yielded more biomass than no N. Other feedstocks occasionally showed a slight, but statistically insignificant increase in biomass yield with increasing N rate. This study showed the potential of producing feedstocks for bioenergy on wet marginal land; however, more research on tissue and soil nutrient dynamics under different N rates and harvest regimes will be important in understanding stand longevity for feedstocks grown under these conditions.

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Section: Introductionmentioning

confidence: 99%

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

et al. 2019

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“…Song et al . () used the mechanistic Integrated Science Assessment Model (ISAM) to estimate biomass yield potential in the eastern United States for Miscanthus, as well as an upland switchgrass cultivar (Cave‐in‐Rock) and a lowland switchgrass cultivar (Alamo) at coarse (0.5°) resolution. Yield patterns are similar to those of PRISM‐ELM in the major crop production areas of the United States, but production declines to zero north of the boundaries of USDA plant hardiness zones: zone 4 for Miscanthus, zone 3 for upland switchgrass, and zone 5 for lowland switchgrass.…”

Section: Discussionmentioning

confidence: 99%

“…PRISM‐ELM was designed to answer a basic question: How do climate and soil characteristics affect the spatial suitability and long‐term production patterns of a given crop? It draws from both empirical and mechanistic approaches and therefore falls into a hybrid category that is becoming more powerful as high‐quality climate, remote sensing, land use, and soils data become available (Song et al ., ; Wightman et al ., ; Richter et al ., ). It employs a simple water balance model to simulate the correspondence, or lack thereof, between water availability (based on precipitation and soil moisture) and growing season timing (based on a temperature response curve).…”

Section: Introductionmentioning

confidence: 99%

Environmental limitation mapping of potential biomass resources across the conterminous United States

et al. 2018

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Several crops have recently been identified as potential dedicated bioenergy feedstocks for the production of power, fuels, and bioproducts. Despite being identified as early as the 1980s, no systematic work has been undertaken to characterize the spatial distribution of their long-term production potentials in the United states. Such information is a starting point for planners and economic modelers, and there is a need for this spatial information to be developed in a consistent manner for a variety of crops, so that their production potentials can be intercompared to support crop selection decisions. As part of the Sun Grant Regional Feedstock Partnership (RFP), an approach to mapping these potential biomass resources was developed to take advantage of the informational synergy realized when bringing together coordinated field trials, close interaction with expert agronomists, and spatial modeling into a single, collaborative effort. A modeling and mapping system called PRISM-ELM was designed to answer a basic question: How do climate and soil characteristics affect the spatial distribution and long-term production patterns of a given crop? This empirical/mechanistic/biogeographical hybrid model employs a limiting factor approach, where productivity is determined by the most limiting of the factors addressed in submodels that simulate water balance, winter low-temperature response, summer high-temperature response, and soil pH, salinity, and drainage. Yield maps are developed through linear regressions relating soil and climate attributes to reported yield data. The model was parameterized and validated using grain yield data for winter wheat and maize, which served as benchmarks for parameterizing the model for upland and lowland switchgrass, CRP grasses, Miscanthus, biomass sorghum, energycane, willow, and poplar. The resulting maps served as potential production inputs to analyses comparing the viability of biomass crops under various economic scenarios. The modeling and parameterization framework can be expanded to include other biomass crops.

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“…The biophysical potential to grow bioenergy grasses varies with time and space due to changes in environmental conditions (Song et al, 2015). Plants need a minimum as well as a maximum offer from the climate in order to satisfy its physiological requirements.…”

Section: The Agroclimatic Zoningmentioning

confidence: 99%

Possibilities for Growing Switch-grass (Panicum virgatum) as Second Generation Energy Crop in Dry-subhumid, Semiarid and Arid Regions of the Argentina

Falasca¹,

Pitta‐Alvarez²,

Fresno³

2017

j. cent. eur. agric.

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Panicum virgatum (swich-grass) is cultivated in some countries to obtain biomass used in the production of heat, fiber, electricity and second generation ethanol. Currently, in Argentina, this species is used for forage and as an ornamental. The aim of this work was to design an agroclimatic zoning model for swich-grass in Argentina, both for upland and lowland ecotypes, based on its bioclimatic requirements and employing a Geography Information System. The variables taken into consideration were: average temperature during growing period and reproductive period, frost free days and rainfall during growing season. This work demonstrated that an ample region of the country is agro-climatically suitable for the implantation of switch-grass in rainfed conditions or with complementary irrigation. The agroclimatic zoning for the upland ecotype shows that suitability reaches latitudes of up to 46ºS, while the lowland ecotype can be grown up to 40ºS. Thornthwaite's Moisture Index equal to zero was overlapped to the Argentinean agroclimatic zoning for upland and lowland types, to obtain the potential growing areas under dry-subhumid, semiarid to arid climates. The areas where switch-grass should be effectively tested are those categorized as optimal, very suitable, suitable, and very suitable/suitable with irrigation, located to the West of TMI equal to zero, which include dry-subhumid (0

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Estimates of Biomass Yield for Perennial Bioenergy Grasses in the USA

Abstract: Perennial grasses, such as switchgrass (Panicum viragatum) and Miscanthus (Miscanthus × giganteus), are potential choices for biomass feedstocks with low-input and high dry matter yield per hectare in the USA and Europe.

Cited by 37 publications

References 61 publications

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

Environmental limitation mapping of potential biomass resources across the conterminous United States

Possibilities for Growing Switch-grass (Panicum virgatum) as Second Generation Energy Crop in Dry-subhumid, Semiarid and Arid Regions of the Argentina

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