模式植物二穗短柄草研究进展与展望

二穗短柄草(Brachypodium distachyon)是一种温带禾本科植物,其植株矮小,自花授粉,生活周期短,生长条件简单,基因组小,易于进行遗传转化,与小麦、柳枝稷同属禾本科早熟禾亚科,是研究小麦、大麦等经济作物以及柳枝稷等能源植物的比较适合的模式植物。最近,二穗短柄草基因组测序及注释正式完成,有必要对其研究进展进行全面的总结。综述了二穗短柄草的基因组特征、基因表达模式、遗传转化等方面的最新研究进展,并对今后的研究方向作了展望,以促进对禾谷类经济作物和能源植物的深入研究。     

柳枝稷木质素基因F5H的高效编辑

柳枝稷(Panicum virgatum)是重要的C₄多年生木质纤维素类生态能饲草。为了快速创制细胞壁转化效率高的能饲草新资源,以异源四倍体柳枝稷品种Alamo为材料,克隆了其木质素合成途径的阿魏酸-5-羟基化酶基因PvF5H,并根据其序列设计编辑靶点,用于构建CRISPR/Cas9-PvF5H编辑载体,最后通过农杆菌(Agrobacterium tumefaciens)介导的遗传转化方法,获得了59株柳枝稷转基因阳性植株。测序分析表明,PvF5H在94.9%的转基因植株中被编辑,纯合编辑效率为55.4%。该研究建立了高效的柳枝稷基因编辑系统,实现了对细胞壁品质相关靶基因的有效编辑,为今后能饲草新品种的培育奠定了基础。     

北京地区14份柳枝稷生物量及分配差异研究

采用14份柳枝稷开展盆栽试验,研究了在北京地区条件下其生物量差异及分配规律。结果表明,低地型柳枝稷Kanlow生物量最高,其茎秆、地上部和整株生物量分别达到175.48 g/株、299.18 g/株和447.66 g/株,而高地型柳枝稷Nebraska生物量最低,其茎秆、地上部和整株生物量分别为29.86 g/株、58.08 g/株和140.51 g/株。就柳枝稷整株植株而言,Kanlow地上部生物量分配比例最高,达到63.13%,S2最低,为40.55%,Kanlow地上部营养器官生物量分配比例最高,达到48.67%,Nebraska最低,为31.88%。就柳枝稷地上部而言,Alamo、Kanlow和Trailblazer茎秆生物量分配比例及茎叶比均较高,分别为35.91%和2.75,37.09%和2.56,34.39%和2.48。起源纬度显著影响了柳枝稷的生物量及其分配,就柳枝稷整株植株而言,起源纬度与柳枝稷生物量显著负相关,与地下部生物量分配比例显著正相关,与地上部、种子和茎生物量分配比例显著负相关。就柳枝稷地上部而言,起源纬度与茎生物量分配比例及茎叶比显著负相关,与叶和鞘生物量分配比例显著正相关。生物量的差异及其分配规律反映出柳枝稷对生态环境长期适应的生殖与生长策略。本研究为柳枝稷遗传资源引种和品种选育提供了依据。     

半干旱黄土丘陵沟壑区柳枝稷（Panicum virgatum）的生物质形成

为深入认识半干旱黄土丘陵沟壑区引种能源植物柳枝稷生物质生产的开发潜力及其约束机制,调查了农田、植丛尺度上早熟和晚熟柳枝稷年度生命周期内生物量累积、分株建成动态,以及土壤水分供求平衡过程。研究发现,植丛尺度早熟柳枝稷抽穗比例近100％,分株生殖发生大小阈值依赖基本丧失,高度大小分布近似正态,种群内光资源竞争强度明显弱化,与晚熟类型形成明显差异。农田尺度晚熟柳枝稷生物质产量可以达到15t／hm^2,高出早熟类型近1倍,但是其立地80～400cm土层的含水量稳定在7％以下,土壤干旱已经发生,早期干旱胁迫导致的生长停滞,以及生长中后期的成片倒伏现象在两年的观测周期内连续出现。早熟柳枝稷立地则形成相对稳定的白草、柳枝稷复合优势植被结构,深层土壤水分含量稳定在10％以上,实现了跨年度的土壤水分供求平衡。植丛尺度的生物质形成在一定程度上取决于分株生殖发生的大小依赖程度和分株间竞争关系格局,基于植丛尺度普遍的生殖发生和明显弱化的光资源竞争,早熟柳枝稷表现出更为高效的生物质形成机制。农田尺度晚熟柳枝稷尽管在雨热同步期的降水资源利用效率上存在明显比较优势,但是在降水资源利用分配策略和效应上,早熟柳枝稷表现出了综合的生态适宜性优势。保证雨热同步期降水资源利用和保蓄的平衡,是半干旱黄土丘陵沟壑区生物质生产应该遵循的基本原则之一。     

水培条件下pH值对柳枝稷幼苗生长发育的影响

土壤的p H值是限制植物生长发育的一个关键因素。柳枝稷是一种可作为牧草,水土保持的多年生C4能源植物。试验在水培条件下,利用裂区试验设计,以柳枝稷品种(系)为主区,水培液p H值为副区,对反映柳枝稷幼苗生长发育状况的指标进行统计分析。结果显示,随水培液p H值的酸碱强度增大,柳枝稷不同品种(系)幼苗的分蘖数、株高、苗鲜重、根冠比、根系活力以及净光合速率都极显著降低(P0.01),而幼苗保护酶活性以及丙二醛(MDA)含量则极显著升高(P0.01)。尤其是当PH值低于5.0时,幼苗的受到的胁迫更为明显,幼苗超氧化物歧化酶(SOD)和过氧化物酶(POD)活性反而急剧下降。与酸胁迫(p H值7.0)相比,柳枝稷对碱胁迫(p H值7.0)的适应能力更强,其中以西稷2号的抗逆性表现最好。因此应用柳枝稷在边际土壤地区推广种植时,要尽量避免强酸性土壤(p H值5.0),且选用西稷2号品系较为适宜。     

青贮对柳枝稷制取燃料乙醇转化过程的影响

青贮是一种传统的生物质原料保存方法,广泛应用于纤维素乙醇炼制领域尚需要考察其对原料品质和下游乙醇转化过程的影响。文中以秋季(初、中和末)收割的柳枝稷为原料,通过青贮、高温水热(LHW)预处理、纤维素酶水解和同步糖化与发酵(SSF)实验对上述问题予以回答。结果显示,秋季初收割的柳枝稷以不同湿度青贮后pH均小于4.0,干重损失小于2%,各主要成分与青贮前相比无明显变化;LHW预处理中青贮样品半纤维素水解率普遍高于未贮存样品,但青贮同样使原料获得了更高的发酵抑制物产生水平;青贮柳枝稷葡萄糖、木糖和半乳糖产量(预处理+酶水解)高于未贮存柳枝稷;经过168 h的SSF,青贮样品乙醇浓度为12.1 g/L,未贮存的秋季初、秋季中和秋季末柳枝稷为底物的浓度分别为10.3 g/L、9.7 g/L和10.6 g/L。综上,青贮有助于提高柳枝稷LHW预处理效率、酶水解率和乙醇产量。     

干旱胁迫下柳枝稷在露天矿区土壤中的种子萌发和生长特性

将能源植物用作矿区生态修复物种,对矿区的经济发展和生态环境具有重要意义。以能源植物柳枝稷为研究对象,通过盆栽试验,分析其在对照、轻度、中度以及重度干旱胁迫下柳枝稷幼苗在矿区土壤基质和非矿区土壤基质下的生长特性,并结合不同干旱胁迫下矿区土壤基质中种子萌发特征,揭示柳枝稷对干旱胁迫的响应机制和对矿区土壤的生态适应性。试验结果表明：(1)柳枝稷种子发芽总数、发芽率、发芽势以及发芽指数在轻度胁迫下达到最大值,活力指数在对照组最高,而在重度胁迫下,各项指标均达到最小值;种苗各生长指标在轻度胁迫下最小,幼苗根长和鲜重在重度胁迫下最高,芽长和芽重在其余三组胁迫下相差不大。(2)干旱胁迫使两种土壤基质下的柳枝稷株高降低,枯叶率增加,在对照、轻度胁迫和重度胁迫下能够保持叶片水分含量和分蘖数稳定;矿区土壤基质中,柳枝稷根体积在轻度胁迫下最大,中度胁迫下根长最长,重度胁迫下根数最多;根冠比随着干旱胁迫的加剧表现出先减后增的趋势,在轻度胁迫下最小,在重度胁迫下最大。(3)与非矿区土壤基质相比,柳枝稷在矿区土壤基质下根冠比更大,其余生长指标均更小;随着干旱胁迫的加剧,柳枝稷在矿区土壤基质下的株高、枯叶率、叶片相...     

Purdue开展谷物基因研究促进生物燃料发展

Purdue大学的2位研究人员Nick Carpita和Maureen McCann指出,鉴别与植物细胞壁生长有关的基因并研究其功能,有助于开发新的、更高产的交通运输生物燃料。他们研究包括谷物在内的草类细胞壁的构成,目的是发掘更多的富含糖类并可高效转化为生物燃料的生物质。此外,研究小组还将分析玉米和柳枝稷基因。大部分植物只运用它们基因组中的10％左右进行细胞壁构建,     

利用SCoT分析柳枝稷遗传资源的多样性

本研究利用SCoT标记对96份柳枝稷种质的亲缘关系和遗传变异进行了研究。筛选出20条引物对96份供试材料进行PCR扩增,共获得445条带,其中多态性条带402条,平均多态性条带比率(PPB)达90.31%,多态性信息含量(PIC)为0.166~0.410,平均值为0.332,标记指数(MI)为10.20。遗传相似系数(GS)为0.498~0.912,平均值为0.688。表明SCoT标记能够揭示柳枝稷种质间的遗传变异。通过UPGMA分析表明,96份种质资源聚为高地型和低地型两大类。经POPGENE1.32软件分析结果显示:96份柳枝稷基因多样性指数(H)为0.285,Shannon指数(I)为0.431,表明供试的种质间遗传多样性丰富,遗传多样性水平高。经AMOVA 1.55方差分析揭示:96份柳枝稷生态型内的遗传变异占总变异的72.85%,生态型间遗传变异占总变异的27.15%,结果表明ScoT可用于柳枝稷遗传多样性研究,该研究结果可为柳枝稷种质资源的进一步开发利用提供重要信息。     

不同倍性柳枝稷45S rDNA的染色体定位研究

以3个四倍体和6个八倍体栽培品种的根尖为材料,利用荧光原位杂交技术,在核型分析的基础上,开展了不同倍性柳枝稷45S rDNA的染色体定位研究。研究结果表明,四倍体柳枝稷核型公式为2n=4x=36=32m(SAT)+4sm,且45S rDNA在四倍体柳枝稷染色体上分布稳定,位于3号染色体顶端。八倍体柳枝稷栽培品种以及同一栽培品种不同个体间45S rDNA信号分布位置和数目差异较大,可大致分为四类:第Ⅰ类为较强的45S rDNA信号分别分布于染色体两臂的顶端;第Ⅱ类为较强的45S rDNA信号位于染色体一臂内部,第Ⅲ类为较强的45S rDNA信号位于染色体一臂的顶端,第Ⅳ类为较弱的45S rDNA位于染色体一臂内部。八倍体柳枝稷不同栽培品种以及同一栽培品种不同个体间45S rDNA信号复杂性的成因可能与染色体同源重组以及染色体结构变异密切相关。     

Knife grid size reduction to pre-process packed beds of high- and low-moisture switchgrass

A linear knife grid device was developed for first-stage size reduction of high- and low-moisture switchgrass (Panicum virgatum L.), a tough, fibrous perennial grass being considered as a feedstock for bioenergy. The size reduction is by a shearing action accomplished by forcing a thick packed bed of biomass against a grid of sharp knives. The system is used commercially for slicing forages for drying or feed mixing. No performance data or engineering equations are available in published literature to optimize the machine and the process for biomass size reductions. Tests of a linear knife grid with switchgrass quantified the combined effect of shearing stresses, packed bed consolidation, and frictional resistance to flow through a knife grid. A universal test machine (UTM) measured load-displacement of switchgrass at two moisture contents: 51%, and 9% wet basis; three knife grid spacings: 25.4, 50.8, and 101.6mm; and three packed bed depths: 50.8, 101.6, and 152.4mm. Results showed that peak load, ultimate shear stress, and cutting energy values varied inversely with knife grid spacing and directly with packed bed depth (except ultimate shear stress). Mean ultimate shear stresses of high- and low-moisture switchgrass were 0.68+/-0.24, and 0.41+/-0.21 MPa, mass-based cutting energy values were 4.50+/-4.43, and 3.64+/-3.31 MJ/dry Mg, and cutting energy based on new surface area, calculated from packed-circle theory, were 4.12+/-2.06, and 2.53+/-0.45 kJ/m2, respectively. The differences between high- and low-moisture switchgrass were significant (P<0.05), such that high-moisture switchgrass required increased shear stress and cutting energy. Reduced knife grid spacing and increased packed bed depths required increased cutting energy. Overall, knife grid cutting energy was much less than energy values published for rotary equipment. A minimum knife grid spacing of 25.4mm appears to be a practical lower limit, considering the high ram force that would be needed for commercial operation. However, knife grid spacing from 50 to 100mm and greater may offer an efficient first-stage size reduction, especially well suited for packaged (baled) biomass. Results of this research should aid the engineering design of size reduction equipment for commercial facilities.     

Economics and Energy of Ethanol Production from Alfalfa, Corn, and Switchgrass in the Upper Midwest, USA

In the USA, biomass crop systems will be needed to meet future ethanol production goals. We estimated production costs, profits, and energy budgets for three potential crop systems for the Upper Midwest: continuous corn with stover harvest, an alfalfa–corn rotation with stover harvest, and switchgrass. Production costs, profits, and on-farm energy use were greatest for continuous corn, less for alfalfa–corn, and least for switchgrass. Energy to transport crops was similar for all crop systems. Both energy used to produce ethanol and energy output in ethanol was greatest for continuous corn, less for alfalfa–corn, and least for switchgrass. Co-product energy output was 32% greater for alfalfa–corn than continuous corn and 42% greater than switchgrass. Net energy produced (outputs–inputs) was greatest for switchgrass, followed by continuous corn, and then alfalfa–corn. Efficiency of energy production (outputs/inputs) was greatest for switchgrass, followed by alfalfa–corn, and then continuous corn. Our analysis emphasizes tradeoffs among crop systems. Corn may produce high rates of ethanol and net energy, but will do so least efficiently and with the greatest erosion and N leaching. Corn may have the greatest production costs, but return the greatest profit. Comparatively, alfalfa–corn will produce less ethanol and net energy, but will do so more efficiently, and with less erosion and little N leaching. Production costs, but also profits, may be less for alfalfa–corn than continuous corn. Switchgrass may produce the most net energy and will do so most efficiently and with the least erosion, but will also yield the least ethanol. Nitrogen leaching will be less for switchgrass than corn, but greater than alfalfa–corn. Switchgrass may be the least expensive to produce, but may return a profit only if selling prices or yields are high.     

A simplified protocol for genetic transformation of switchgrass (Panicum virgatum L.)

The increasing interest in renewable energy has attracted more research attention on biofuels. In order to generate sustainable amount of biomass feedstock from dedicated biofuel crops such as switchgrass they need to be genetically improved. Genetic transformation is one of the techniques to achieve this goal. The aim of our study was to devise a simplified protocol for switchgrass genetic transformation. We have used NB(0) as the basal medium and mature seeds of the cultivar Alamo as the starting material. The nutrient medium used and scutellum-derived callus are fashioned after rice genetic transformation protocols. We obtained friable calluses, which were similar to the type II calluses in other monocotyledonous species. Calluses were amenable for Agrobacterium-mediated genetic transformation with at least 6?% transformation efficiency. The concentration of hygromycin was optimized for successful selection of transgenic calluses. The Green Fluorescent Protein gene was used to monitor and demonstrate successful genetic transformation. Compared to the previously published methods for genetic transformation of switchgrass, our protocol is simpler and equally efficient. KEY MESSAGE: An efficient, simplified switchgrass genetic transformation method with NB(0) basal medium and mature seeds as inoculum was developed. The appropriate concentrations of hormones and selection agent are described.     

Direct measures of mechanical energy for knife mill size reduction of switchgrass, wheat straw, and corn stover

Lengthy straw/stalk of biomass may not be directly fed into grinders such as hammer mills and disc refiners. Hence, biomass needs to be preprocessed using coarse grinders like a knife mill to allow for efficient feeding in refiner mills without bridging and choking. Size reduction mechanical energy was directly measured for switchgrass (Panicum virgatum L.), wheat straw (Triticum aestivum L.), and corn stover (Zea mays L.) in an instrumented knife mill. Direct power inputs were determined for different knife mill screen openings from 12.7 to 50.8 mm, rotor speeds between 250 and 500 rpm, and mass feed rates from 1 to 11 kg/min. Overall accuracy of power measurement was calculated to be ±0.003 kW. Total specific energy (kWh/Mg) was defined as size reduction energy to operate mill with biomass. Effective specific energy was defined as the energy that can be assumed to reach the biomass. The difference is parasitic or no-load energy of mill. Total specific energy for switchgrass, wheat straw, and corn stover chopping increased with knife mill speed, whereas, effective specific energy decreased marginally for switchgrass and increased for wheat straw and corn stover. Total and effective specific energy decreased with an increase in screen size for all the crops studied. Total specific energy decreased with increase in mass feed rate, but effective specific energy increased for switchgrass and wheat straw, and decreased for corn stover at increased feed rate. For knife mill screen size of 25.4 mm and optimum speed of 250 rpm, optimum feed rates were 7.6, 5.8, and 4.5 kg/min for switchgrass, wheat straw, and corn stover, respectively, and the corresponding total specific energies were 7.57, 10.53, and 8.87 kWh/Mg and effective specific energies were 1.27, 1.50, and 0.24 kWh/Mg for switchgrass, wheat straw, and corn stover, respectively. Energy utilization ratios were calculated as 16.8%, 14.3%, and 2.8% for switchgrass, wheat straw, and corn stover, respectively. These data will be useful for preparing the feed material for subsequent fine grinding operations and designing new mills.     

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

Simulation models for perennial energy crops such as switchgrass (Panicum virgatum L.) and Miscanthus (Miscanthus x giganteus) can be useful tools to design management strategies for biomass productivity improvement in US environments. The Agricultural Production Systems Simulator (APSIM) is a biophysical model with the potential to simulate the growth of perennial crops. APSIM crop modules do not exist for switchgrass and Miscanthus, however, re‐parameterization of existing APSIM modules could be used to simulate the growth of these perennials. Our aim was to evaluate the ability of APSIM to predict the dry matter (DM) yield of switchgrass and Miscanthus at several US locations. The Lucerne (for switchgrass) and Sugarcane (for Miscanthus) APSIM modules were calibrated using data from four locations in Indiana. A sensitivity analysis informed the relative impact of changes in plant and soil parameters of APSIM Lucerne and APSIM Sugarcane modules. An independent dataset of switchgrass and Miscanthus DM yields from several US environments was used to validate these re‐parameterized APSIM modules. The re‐parameterized modules simulated DM yields of switchgrass [0.95 for CCC (concordance correlation coefficient) and 0 for SB (bias of the simulation from the measurement)] and Miscanthus (0.65 and 0% for CCC and SB, respectively) accurately at most locations with the exception of switchgrass at southern US sites (0.01 for CCC and 2% for SB). Therefore, the APSIM model is a promising tool for simulating DM yields for switchgrass and Miscanthus while accounting for environmental variability. Given our study was strictly based on APSIM calibrations at Indiana locations, additional research using more extensive calibration data may enhance APSIM robustness.     

A spatial model of climate change effects on yields and break‐even prices of switchgrass and miscanthus in Ontario,Canada

Concerns over global climate change have led many jurisdictions to implement strategies aimed at reducing greenhouse gas levels. One example is the replacement of coal with dedicated energy crops, such as switchgrass and miscanthus. The yields and costs of these potentially valuable bio‐energy crops have been evaluated in only a few cases, and previous studies have not focused on climate change effects. This article assesses the potential yields and costs of growing switchgrass and miscanthus on the agricultural land base in Ontario, Canada, under different climate assumptions, using a GIS‐based integrated biophysical and economic simulation model. The model shows that miscanthus has a mean peak yield that is 88.5% (29.6 t ha^?1 compared with 15.7 t ha^?1) higher and a mean farm gate break‐even price that is 25.9% ($58.20 per tonne compared with $73.29 per tonne) lower than switchgrass. The impact of climate change on the yield and break‐even price of switchgrass and miscanthus is dependent upon the climate model. CGCM3.1 predicts that mean peak yields of switchgrass and miscanthus could drop by 17.8% and 14.9%, whereas CCSM3.0 predicts that mean yields could increase to 41.4% and 44.9%, from 2071 to 2100, in the A2 climate scenario respectively. Both crops show promise as biomass sources for bio‐energy production, but a changing global climate, along with cultivar and planting technology developments, could affect crop choices.     

The Economics of Biomass Collection and Transportation and Its Supply to Indiana Cellulosic and Electric Utility Facilities

With cellulosic energy production from biomass becoming popular in renewable energy research, agricultural producers may be called upon to plant and collect corn stover or harvest switchgrass to supply feedstocks to nearby facilities. Determining the production and transportation cost to the producer of corn stover or switchgrass and the amount available within a given distance from the plant will result in a per metric ton cost the plant will need to pay producers in order to receive sufficient quantities of biomass. This research computes up-to-date biomass production costs using recent prices for all important cost components including seed, fertilizer, herbicide, mowing/shredding, raking, baling, storage, handling, and transportation. The cost estimates also include nutrient replacement for corn stover. The total per metric ton cost is a combination of these cost components depending on whether equipment is owned or custom hired, what baling options are used, the size of the farm, and the transport distance. Total costs per dry metric ton for biomass with a transportation distance of 60 km ranges between $63 and $75 for corn stover and $80 and $96 for switchgrass. Using the county quantity data and this cost information, we then estimate biomass supply curves for three Indiana coal-fired electric utilities. This supply framework can be applied to plants of any size, location, and type, such as future cellulosic ethanol plants. Finally, greenhouse gas emissions reductions are estimated from using biomass instead of coal for part of the utility energy and also the carbon tax required to make the biomass and coal costs equivalent. Depending on the assumed CO₂ price, the use of biomass instead of coal is found to decrease overall costs in most cases.     

Agricultural Management of Switchgrass for Fuel Quality and Thermal Energy Yield on Highly Erodible Land in the Driftless Area of Southwest Wisconsin

Converting row crop production to a perennial grass crop on highly erodible land has numerous benefits. Switchgrass, grown as a biofuel crop, can provide soil conservation benefits as a perennial crop and also provide economic value to the grower. However, little information exists regarding switchgrass management and production on these lands. The objectives of this study were to determine the effect of two management practices, nitrogen (N) fertilizer rate (0, 56, 112, 168, and 224 kg ha^?1) and harvest timing (mid-fall, late-fall, and spring), on: (1) dry matter (DM) yield, (2) switchgrass quality components (moisture, ash, and chloride (Cl^?) concentrations), and (3) combustion energy content and yield. The study was conducted in 2009 and 2010 on highly erodible lands in the Driftless Area of southwest Wisconsin. Results showed a positive response of switchgrass DM to N fertilizer, with no yield gain above 112 kg ha^?1 of N, although application of N increased Cl^? concentrations. Harvest timing also affected switchgrass yield, with decreases in yield observed with progressively later harvest timings; this yield decrease was slightly greater compared with previous studies. Progressively later harvest timings led to a decrease in moisture, ash concentration, and Cl^? concentration in both years. Energy content of switchgrass was not significantly affected by management. Energy yields, similar to DM yields, were maximized with 112 kg ha^?1 of N with a mid-fall harvest. The similarities between this study and other research indicate there is a universal response of switchgrass to N in the northern USA and yields determined in this study indicate that highly erodible lands in the Driftless Area can be used to produce switchgrass at regionally expected yields.     

Determining spatially varying profit-maximizing management practices for miscanthus and switchgrass production in the rainfed United States

Determining optimal management practices for the profitable production of perennial energy crops is critical for scaling up production beyond experimental levels. Although many experimental field studies have examined the effects of management practices on the performance of miscanthus and switchgrass, there are no recommendations for economically optimal nitrogen (N) application rates and how they should vary spatially and with the age of the energy crop as well as on optimal rotation age of the energy crop to maximize profits. We develop a modeling framework to determine economically optimal crop management decisions and simulate the variability under various scenarios for miscanthus and switchgrass production across 2287 counties in the rainfed United States. We find that profit-maximizing N recommendations for these crops vary across maturity stages and regions and can increase the landowner's profits compared with a uniform N rate across ages and regions. We also find that the optimal rotation for these crops is shorter than the productive physical lifespan (15–20 and 10 years for miscanthus and switchgrass, respectively). Specifically, the N rate that maximizes the economic returns is negligible for miscanthus and 111 kg ha⁻¹ for switchgrass production at age 2. The mean profit-maximizing N rate increases with age for miscanthus, peaking at 151 kg ha⁻¹ at age 11 before declining to 114 kg ha⁻¹ at the optimal rotation age of 13 years while that for switchgrass is 150 kg ha⁻¹ for middle-aged stands and declines to 114 kg ha⁻¹ at the optimal rotation of 8–9 years. We find that miscanthus is the most profitable energy crop in the northern region of the rainfed United States while switchgrass is most profitable in the south of the rainfed United States. Our findings are useful for improving assessments of the profitability of energy crops and guiding future management decisions by landowners.