Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several <scp>US</scp> environments

Ojeda, Jonathan J.; Volenec, Jeffrey J.; Brouder, Sylvie M.; Caviglia, Octavio Pedro; Agnusdei, M. G.

doi:10.1111/gcbb.12384

Cited by 54 publications

(30 citation statements)

References 65 publications

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“…A switchgrass yield of 10 t ha −1 or higher can provide a stable supply of switchgrass for cellulosic biofuels from Indiana farmers. Evidence has shown that yields of switchgrass can be as high as 10.7 t ha −1 in Indiana . Higher yields of switchgrass also require lower land area conversion from cropland or marginal land.…”

Section: Resultsmentioning

confidence: 99%

“…Evidence has shown that yields of switchgrass can be as high as 10.7 t ha −1 in Indiana. 45 Higher yields of switchgrass also require lower land area conversion from cropland or marginal land. Reducing the variable operating cost of cellulosic biofuel production enables biorefineries to pay higher prices for feedstock and enhances the willingness of farmers to adopt switchgrass.…”

Section: Viability Of Cellulosic Biofuel Commercialization In Indianamentioning

confidence: 99%

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Spatial agent‐based modeling for dedicated energy crop adoption and cellulosic biofuel commercialization

Jin

Mendis

Sutherland

2019

Biofuels Bioprod Bioref

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Dedicated bioenergy crops, such as perennial grass and short rotation trees, qualify as cellulosic biofuel feedstocks to meet the requirements for advanced biofuel according to the expanded Renewable Fuel Standard. The utilization of dedicated energy crops for cellulosic biofuels is still in the early stage, at pilot scale, and the existing cellulosic biorefineries are yet to be commercialized. This study develops an agent‐based model to simulate the spatial diffusion of switchgrass (Panicum virgatum L.) adoption in Indiana cropland from 2015 to 2027 under various biofuel market scenarios. Results indicate that it would be economically viable to produce 1.1 billion gallons (4.2 billion liters) cellulosic ethanol from switchgrass annually in Indiana until 2023, given an average annual farm‐gate price of $123.93 t−1 for the feedstock. This study also finds that the high productivity of switchgrass can increase the adoption rates of farmers and secure a stable feedstock supply. It also reveals that the high equipment costs required for scaling up production capacity and the high variable operating cost of cellulosic biofuel production will inhibit the viability of commercializing cellulosic biofuels with a stable supply of feedstock. Financial incentives for cellulosic biofuel production have a significant impact on promoting the adoption of dedicated energy crops in Indiana. This paper provides useful insights for biorefinery development and policy making to facilitate the commercialization of cellulosic biofuels by explaining the effects of the decisions of farmers on the adoption of dedicated energy crops. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

Section: Viability Of Cellulosic Biofuel Commercialization In Indianamentioning

confidence: 99%

Spatial agent‐based modeling for dedicated energy crop adoption and cellulosic biofuel commercialization

Jin

Mendis

Sutherland

2019

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

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“…where S i is the simulated value, O i is the observed value, and O is the mean of the observations. The Lin's concordance correlation coefficient (CCC) integrates precision using Pearson's correlation coefficient-which represents the proportion of the total variance in the observed data that can be explained by the model, and accuracy with bias-which indicates how far the regression line deviates from the concordance line [72]. The CCC ranges from −1 to 1, with a perfect agreement at 1.…”

Section: Functional Analysismentioning

confidence: 99%

A Functional Analysis of Pedotransfer Functions Developed for Sri Lankan soils: Applicability for Process-Based Crop Models

et al. 2020

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As measurements are expensive and laborious, the estimation of soil hydraulic properties using pedotransfer functions (PTFs) has become popular worldwide. However, the estimation of soil hydraulic properties is not the final aim but an essential input value for other calculations and simulations, mostly in environmental and crop models. This modeling approach is a popular way to assess agricultural and environmental processes. However, it is rarely used in Sri Lanka because soil hydraulic data are rare. We evaluated the functionality of PTFs (developed to estimate field capacity (FC) and the permanent wilting point (PWP) of Sri Lankan soils) for process-based crop models. We used the Agricultural Production Systems sIMulator (APSIM) as the test model. Initially, we confirmed the importance of PWP (LL15) and FC (DUL) by assessing the sensitivity of the soil input parameters on the growth and yield of rice under rainfed conditions. We simulated the growth and yield of rice and the four selected outputs related to the APSIM soil module using the measured and estimated values of FC and PWP. These simulations were conducted for ten years in 16 locations of Sri Lanka, representing wet, intermediate, and dry zones. The simulated total aboveground dry matter and weight of the rough rice, using both input conditions (the measured and PTF-estimated soil hydraulic properties), showed good agreement, with no significant differences between each other. Outputs related to the soil module also showed good agreement, as no significant differences were found between the two input conditions (measured and PTF-estimated soil hydraulic properties). Although the DUL and LL15 are the most influential parameters for the selected outputs of APSIM-Oryza, the estimated FC and PWP values did not change the predictive ability of APSIM. In this way, the functionality of PTFs for APSIM crop modeling is confirmed.Agronomy 2020, 10, 285 2 of 18 world, especially in tropical regions [1]. Pedotransfer functions (PTFs) are predictive functions used to estimate difficult-to-measure soil parameters with easily measurable soil parameters [2]. Point-based PTFs are used to determine soil parameters at specific, conventional values of matric potential [3]. The moisture content at −10 and −33 kPa (representing the field capacity (FC)) and moisture content at -1500 kPa (representing the permanent wilting point (PWP)) are the most common reference values for the soil moisture characteristic curve (SMCC) used for point PTFs [4].Point PTFs were developed [5] for Sri Lankan soil and confirmed the statistical accuracy of these PTFs for Sri Lankan conditions. However, these PTFs cannot perfectly calculate soil hydraulic parameters. In other words, there are always some errors that could be over or underestimated according to soil type. These errors may be different according to the application of the PTFs. Hence, the final estimation of the model quality should be defined by the model's applicability [6] because the estimation of hydraulic properties is not the...

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“…The performance of the Yield-SAFE model was evaluated visually, by comparing the simulated tree and crop yields with measured ones, as well as by determining the normalized root-mean-square error (NRMSE), the coefficient of determination (R 2 ), the concordance correlation coefficient (CCC) [37], which measured the agreement between the simulated and measured yields, and the bias function of the simulated yields (SB). Statistical analysis was performed using the R software (version 3.4.2, R Core Team 2017; R Foundation for Statistical Computing, Vienna, Austria) independently for determining the NRMSE, R 2 , and SB, and using the package "epiR" [38] for calculating the CCC.…”

Section: Calibration and Validation Of The Yield-safe Model (Yield Esmentioning

confidence: 99%

Trade-Off between Energy Wood and Grain Production in Temperate Alley-Cropping Systems: An Empirical and Simulation-Based Derivation of Land Equivalent Ratio

et al. 2019

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The alley-cropping systems (ACSs), which integrate parallel tree strips at varying distances on an agricultural field can result, complementarity of resource use, in an increased land-use efficiency. Practitioners’ concerns have been directed towards the productivity of such systems given a reduced area covered by agricultural crops. The land equivalent ratio (LER) serves as a valuable productivity indicator of yield performance and land-use efficiency in ACSs, as it compares the yields achieved in monocultures to those from ACSs. Consequently, the objective of this combined experimental and simulation study was to assess the tree- and crop-yields and to derive the LER and gross energy yield for two temperate ACSs in Germany under different design scenarios, i.e., tree arrangements (lee- or wind-ward) and ratios of tree area to crop area. Both LER and gross energy yields resulted in a convex curve where the maximum values were achieved when either the tree or crop component was dominant (>75% of the land area) and minimum when these components shared similar proportions of land area. The implications of several design scenarios have been discussed in order to improve the decision-making, optimization, and adaptation of the design of ACSs with respect to site-specific characteristics.

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Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments

Cited by 54 publications

References 65 publications

Spatial agent‐based modeling for dedicated energy crop adoption and cellulosic biofuel commercialization

Spatial agent‐based modeling for dedicated energy crop adoption and cellulosic biofuel commercialization

A Functional Analysis of Pedotransfer Functions Developed for Sri Lankan soils: Applicability for Process-Based Crop Models

Trade-Off between Energy Wood and Grain Production in Temperate Alley-Cropping Systems: An Empirical and Simulation-Based Derivation of Land Equivalent Ratio

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