Drought effects on composition and yield for corn stover, mixed grasses, and<i>Miscanthus</i>as bioenergy feedstocks

Emerson, Rachel; Hoover, Amber N.; Ray, Allison E.; Lacey, Jeffrey A.; Cortez, Marnie; Payne, Christina M.; Karlen, Douglas L.; Birrell, Stuart J.; Laird, David A.; Kallenbach, Robert L.; Egenolf, Josh; Sousek, Matthew D.; Voigt, Thomas

doi:10.1080/17597269.2014.913904

Cited by 60 publications

(91 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A lower cellulose content and a higher hemicellulose content was measured in the flat site, as a response to the higher drought condition as also reported by Emerson et al (2014) and Van der Weide et al (2016); these authors related the decrease in cellulose content to the formation of osmolytes, aimed to the maintenance of osmotic equilibrium in the cell under dry conditions, at the expense of cellulose biosynthesis.…”

Section: Composition Of Lignocellulosic Biomasssupporting

confidence: 54%

Yields and quality of biomasses and grain in Cynara cardunculus L. grown in southern Italy, as affected by genotype and environmental conditions

et al. 2017

View full text Add to dashboard Cite

Cardoon is a crop well adapted to Mediterranean climatic conditions that is able to grow also in marginal lands thus reducing competition for land with food crops. It is considered a key crop for bio-refinery since it allows producing different interesting molecules for industrial application. From stems it is possible to obtain large amounts of cellulose, grains are a good source of oil and proteins and roots can be a source of inulin. The aim of this research has been to evaluate the productive levels of different genotypes of cardoon in two different climatic conditions of Mediterranean cropland (a site in the Vesuvius plain and a site in the internal hilly cropland). In both the sites, during 3 years (from 2012-2013 to 2014-2015), three genotypes (Altilis, Gigante e Trinaseed) were cultivated with 2 planting densities (4 and 8 plants per m 2 ). A low input cropping system was adopted (no irrigation and 150 kg ha -1 of N supplied as ammonium nitrate). In flat site (NA-Ac.), lignocellulosic biomass yield was 19 t ha -1 d.m. and grain yield 2.7 t ha -1 on the average of the 3 years period. In the hilly site, biomass yield was similar (20 t ha -1 d.m.) while grain yield was higher (3.9 t ha -1 on the average) as compared to the flat site. As regards biomass composition, an increase of hemicellulose and a decrease of cellulose content were measured in the flat site, maybe as a response of plant to the higher drought stress.

show abstract

Section: Composition Of Lignocellulosic Biomasssupporting

confidence: 54%

Yields and quality of biomasses and grain in Cynara cardunculus L. grown in southern Italy, as affected by genotype and environmental conditions

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Some of these factors can be controlled through standardization practices while other factors can be difficult to control. The influence of environmental conditions on biomass composition is particularly difficult to control because they are subject to variations in weather, including total supply and timing of water, daily and seasonal temperature swings, and variations in local soil conditions (e.g., clay, sand, rock, nutrient content, and pH) [50]. In addition, different conversion technologies place varying levels of emphasis on diverse quality metrics, which further complicating inherent biomass variability [13].…”

Section: Defining the Extent Of Biomass Variabilitymentioning

confidence: 99%

“…The variations in biomass composition, especially for genetically similar biomass, can often be correlated to differences in water and temperature conditions [69]. A particularly problematic source of variability is drought, because it cannot be easily controlled or mitigated [50,70,71]. Drought can increase the water-soluble carbohydrate content of plants while the overall mass yield decreases [70][71][72][73].…”

Section: Variability Due To Local Agronomic Conditionsmentioning

confidence: 99%

“…Drought can increase the water-soluble carbohydrate content of plants while the overall mass yield decreases [70][71][72][73]. Drought drastically decreases the theoretical ethanol yield (TEY) of mixed perennial grasses and Miscanthus× giganteus in a fermentative process by increasing extractives and decreasing structural sugars, in addition to reducing the quantity of biomass produced per unit land [50]. Overall, drought reduced TEY by 26-59 % per hectare for mixed perennial grasses and Miscanthus×giganteus through a combination of overall dry matter loss and a reduced fraction of structural carbohydrates [50].…”

Section: Variability Due To Local Agronomic Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Sources of Biomass Feedstock Variability and the Potential Impact on Biofuels Production

et al. 2015

View full text Add to dashboard Cite

Terrestrial lignocellulosic biomass has the potential to be a carbon neutral and domestic source of fuels and chemicals. However, the innate variability of biomass resources, such as herbaceous and woody materials, and the inconsistency within a single resource due to disparate growth and harvesting conditions, presents challenges for downstream processes which often require materials that are physically and chemically consistent. Intrinsic biomass characteristics, including moisture content, carbohydrate and ash compositions, bulk density, and particle size/shape distributions are highly variable and can impact the economics of transforming biomass into value-added products. For instance, ash content increases by an order of magnitude between woody and herbaceous feedstocks (from ∼0.5 to 5 %, respectively) while lignin content drops by a factor of two (from ∼30 to 15 %, respectively). This increase in ash and reduction in lignin leads to biofuel conversion consequences, such as reduced pyrolysis oil yields for herbaceous products as compared to woody material. In this review, the sources of variability for key biomass characteristics are presented for multiple types of biomass. Additionally, this review investigates the major impacts of the variability in biomass composition on four conversion processes: fermentation, hydrothermal liquefaction, pyrolysis, and direct combustion. Finally, future research processes aimed at reducing the detrimental impacts of biomass variability on conversion to fuels and chemicals are proposed.

show abstract

“…This is especially true given the 1) impact of annual and geographic variation on biomass yields and types (Emerson et al, 2014) and 2) process changes, relative to cellulosic ethanol, needed to deploy a slate of products, including hydrocarbons and lignin-derived compounds (Langholtz et al, 2016). Integrating biomass such as energy crops into existing crop rotations and blending these feedstocks with existing wastes and residues available to a bio-refinery will de-risk the logistics of biomass supply (Lamers et al, 2015;Langholtz et al, 2016;Li et al, 2016;Ray et al, 2017;Williams et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply

Narani

Coffman

Gardner

et al. 2017

Bioresource Technology

View full text Add to dashboard Cite

Feedstock blending can enable nationwide production of biofuels. Predictive model can identify ideal blend ratios to achieve high sugar yields. A low ratio of high-quality feedstock can substantially improve sugar yields. g r a p h i c a l a b s t r a c t a r t i c l e i n f o b s t r a c tCommercial-scale bio-refineries are designed to process 2000 tons/day of single lignocellulosic biomass. Several geographical areas in the United States generate diverse feedstocks that, when combined, can be substantial for bio-based manufacturing. Blending multiple feedstocks is a strategy being investigated to expand bio-based manufacturing outside Corn Belt. In this study, we developed a model to predict continuous envelopes of biomass blends that are optimal for a given pretreatment condition to achieve a predetermined sugar yield or vice versa. For example, our model predicted more than 60% glucose yield can be achieved by treating an equal part blend of energy cane, corn stover, and switchgrass with alkali pretreatment at 120°C for 14.8 h. By using ionic liquid to pretreat an equal part blend of the biomass feedstocks at 160°C for 2.2 h, we achieved 87.6% glucose yield. Such a predictive model can potentially overcome dependence on a single feedstock.

show abstract

Drought effects on composition and yield for corn stover, mixed grasses, andMiscanthusas bioenergy feedstocks

Cited by 60 publications

References 37 publications

Yields and quality of biomasses and grain in Cynara cardunculus L. grown in southern Italy, as affected by genotype and environmental conditions

Yields and quality of biomasses and grain in Cynara cardunculus L. grown in southern Italy, as affected by genotype and environmental conditions

Sources of Biomass Feedstock Variability and the Potential Impact on Biofuels Production

Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply

Contact Info

Product

Resources

About