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Article

Assessment of Areal Methane Yields from Energy Crops in Ukraine, Best Practices

1
State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, 70599 Stuttgart, Germany
2
Institute of Bioenergy Crops and Sugar Beet of the Agrarian Academy of Sciences of Ukraine, 03110 Kiev, Ukraine
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(13), 4431; https://doi.org/10.3390/app10134431
Submission received: 29 May 2020 / Revised: 23 June 2020 / Accepted: 24 June 2020 / Published: 27 June 2020
(This article belongs to the Special Issue Renewable Energy in Agriculture)

Abstract

:
Growing and utilizing bioenergy crops as feeding substrates in biogas plants may aid the development of the biogas sector in Ukraine. Therefore, research was done on potential methane yields from 22 high-yield varieties of 7 different crops grown in Ukraine for their biogas production suitability. Annual crops (maize, soybean, sweet sorghum and sorghum hybrids) and perennials (miscanthus, paulownia and switchgrass) harvested at three different harvesting times (H1, H2 and H3) related to specific stages of phenological development were investigated. The perennial crops studied were from different vegetation years. The samples were analysed in Ukraine on their dry matter- and volatile solids contents, dry matter yield (DMY) and crop nitrogen (N) uptake. The 55 °C -dried samples were delivered to Germany for their analysis with the Hohenheim Biogas Yield Test (HBT) on their specific methane yield (SMY). Based on DMY and SMY, the areal methane yields (AMY) were calculated. The highest SMY and AMY were found for maize, sweet sorghum and miscanthus. The highest average SMY of 0.35 ± 0.03 m3CH4 kgVS−1 was found for maize samples harvested at H2. Miscanthus “Giganteus” from the 8th vegetation year harvested at H1 has shown the highest AMY of 7404.50 ± 199.00 m3CH4 ha−1.

1. Introduction

In 2018, the natural gas import in Ukraine amounted to 35.7% of the total gas consumption [1]. The topical issue is to reduce the natural gas import, which can be done through the production of biogas. According to Scarlat et al. [2], the biogas production in Ukraine in 2015 sums up to 600 TJ or 117 mil m3, while the biogas share in the natural gas use was only 0.1%. In 2018 this share increased to 0.2% [1]. End of 2019, the installed power capacity of biogas plants in Ukraine amounted to 70 MW power capacity, where 47 MW of these units are based on agricultural wastes and the remaining run on landfill gas [3].
In the development of Ukraine‘s biogas sector, the availability of feedstock plays one of the key roles. As of February 2020, the existing agricultural biogas plants in Ukraine utilize the following substrates: pig and cattle manure, poultry litter, sugar-beet pulp, sugar sorghum silage and maize silage. It is noteworthy that in Ukraine there is a limited amount of manure due to a constant decreasing trend in livestock breeding except for poultry [1]. Therefore, alternative biogas substrates other than manure or poultry litter should be investigated.
To provide continuous availability of substrates supplies in biogas plants, different bioenergy crops cultivated in Ukraine specifically for biogas production can be utilized. Currently, Ukraine does not have a deficiency in the food crops availability which is in correspondence to its relatively low population density of 69.49 inhabitants per km2 (in Germany the population density is 233, in China—146); moreover, Ukraine is one of the leading grain exporting nations in the world [1,4]. As the area of agricultural lands in Ukraine as of 01.01.2016 amounted to 42,726.4 thousand hectares or 70.8% of the total area of Ukraine [5], a part of bioenergy crops can be grown on underutilized agricultural lands or in sustainable rotations with other crops. Furthermore, experts assess the area of marginal lands in Ukraine to be ~4 million hectares for the inland territory [6,7], where the bioenergy crops can be additionally cultivated. Therefore, due to the land’s availability, bioenergy crops are a potentially attractive substrate for biogas production in Ukraine. Additionally, since December 2019 the State Agency on Energy Efficiency and Energy Saving of Ukraine has been requesting the approval of the amendments to the Ukrainian legislation that should provide a state support program for the cultivation of bioenergy crops [8].
The biogas production from bioenergy crops is directly related to the value of crop’s areal methane yield (AMY), measured in m3CH4∙ha−1 [9]. For bioenergy crops, the AMY depends on many parameters: crop species [9,10,11], crop variety [12,13,14], soil-climatic conditions [11], average temperature and precipitation during the cultivation period [15,16,17,18], dosage of fertilizer applied [16,19,20], harvesting time related to specific stages of crop phenological development [9,11,12,13,14,15,19,21,22,23,24], pretreatment, especially for lignocellulosic biomass [23,25,26,27,28] among others.
No literature was found on AMY of bioenergy crops grown in Ukraine. Since the soils and climatic conditions in Ukraine differ significantly from those of Western European countries, the experience gained in energy crops cultivation in these countries cannot be directly transferred to Ukraine. For this reason, the study on the assessment of AMY of high-yield bioenergy crops grown in Ukraine has to be conducted.
In this study, the effects of harvesting time and vegetation year (for perennials) on AMY of potential Ukrainian energy crops are studied. Additionally, the effects of dry matter yield (DMY) and crop N uptake on AMY are determined.

2. Materials and Methods

2.1. Experiment Overview

Ukraine has a temperate climate except on the southern coast of Crimea, which has a subtropical climate. Ukrainian climate conditions are favourable for growing the following bioenergy crops further discussed in this paper: soybean, maize, sweet sorghum and sorghum hybrids (e.g., rice sorghum, known in Ukraine as soriz) [29], switchgrass, miscanthus and paulownia (see Table 1). For this research, high-yield varieties of the above-mentioned crops suitable for dissemination in Ukraine according to the State Register were selected [30], thus leading to a total of 22 varieties of 7 crops, each harvested at three different harvesting times. For perennials, additionally, the effect of the age of plantation (known also as crop vegetation year) on AMY was investigated.

2.2. Field Trials and Plant Material

2.2.1. Field Trials

The analysed crops were cultivated in 2017 at the fields of the Agrarian Academy of Sciences of Ukraine. The location of the fields: Kiev and Kiev region (Vasylkiv district, urban-type settlement Grebinky; the research enterprise and research household “Salyvinkivske”; latitude 49.6° N, longitude 30.1° E, altitude 178 m). 18 varieties were cultivated in the Kiev region; 4 varieties were grown on the research fields of the Institute of Bioenergy Crops and Sugar Beet in Kiev.
The fields belong to an area with a mean annual temperature of 10 °C. The crops were grown in a zone of unstable humidity with a mean annual precipitation of 341.1 mm.
The crops were cultivated on the typical medium-loamy black soils with loessial loam and a humus range of 2.68% ± 0.35%. The soils contained low-medium nitrogen (N) contents: 181.67 ± 78.72 mg N per g air-dry soil. The pH of the soils was 6.64 ± 0.09.
During the crop cultivation period in 2017 at the field locations, there was a higher average monthly temperature and a lower average monthly precipitation in comparison to those values in the years 1985–2016 (see Figure 1). Due to the unfavourable weather conditions, the losses in DMY and thus in AMY could take place.
As the amount of rainfall on-site was considered to be sufficient for cultivation, the field plots were not artificially irrigated.

2.2.2. Plant Material

Plant material was provided by the Institute of Bioenergy Crops and Sugar Beet of the Agrarian Academy of Sciences of Ukraine. The high-yield varieties were selected for this investigation. The analysed amount of varieties per crop were as follows: 5 for soybean; 6 for maize; 4 for sweet sorghum; 3 for sorghum orysoidum; 1 for switchgrass harvested at the 2nd and the 8th vegetation years; 2 for miscanthus, where both varieties were harvested at the 3rd year of vegetation and one of them was also harvested at the 8th vegetation year; 1 variety of paulownia from the 1st vegetation year.
The fertilizers were applied to the fields in the dosage as recommended for each crop by the Institute of Bioenergy Crops and Sugar Beet taking into account the chemical content of the soil and the plants’ demands (see Table 2). Herbicides and fungicides were conventionally applied at the individual locations.
The investigated crop varieties were harvested at three harvesting times, related to the different stages of crop phenological development which correspond to specific BBCH-codes [14,32,33,35,36]. The first harvesting time (H1) was between 01.08.17–03.08.17, the second (H2) between 19.08.17–21.08.17, and the third (H3) between 31.08.17–01.09.17, as recommended by the Institute of Bioenergy Crops and Sugar Beet.
For each sample, the above-ground part of the crops was cut. For each harvesting time and for each investigated crop variety, the fresh matter (FM) yields in kg∙ha−1 were determined. These FM yields were determined based on the average weight of the plants, their germination rate, the planting density, and the plants’ hectare population (amount of plants per hectare).
The dry matter (DM) content related to FM (DMFM) in the collected samples was measured immediately after harvesting. Subsequently, the dried samples were analysed on volatile solids content related to DM (VSDM). The DMFM and VSDM of the samples (in %) were determined by differential weighing before and after drying at 105 °C for 24 h and by subsequent ashing at 550 °C for 8 h, respectively by using standard methods [37,38].
DMY for the samples, in t∙ha−1 were determined based on the FM yields and the DMFM values. Total Kjeldahl nitrogen (TKN) is expressed as total nitrogen or N if not stated otherwise. The total nitrogen in the samples was determined by Kjeldahl analysis [37,38]. The crop N uptake for the collected samples, in kgN∙ha−1 was determined based on the crop N concentrations and their DMY.
For futher analysis on the SMY with the Hohenheim Biogas Yield Test (HBT), collected crop samples were ground and dried at 55 °C to a constant weight and they were subsequently delivered to Germany.

2.3. SMY and AMY

2.3.1. SMY

The delivered dry crop samples were ground with a 1 mm grid size in the PULVERISETTE 19 cutting mill (Fritsch GmbH, Markt Einersheim, Germany). The samples were analysed in the HBT system as described in the literature [13,39]. The HBT experiment was conducted in 100 mL syringes, each filled with 400 mg of the grounded substrate (55 °C–dried crop sample) and 30 g of inoculum (30 mL, 4.66% DM, 2.82% VS) according to an inoculum to substrate ratio based on DM of 2:1 as recommended by VDI 4630 [40]. The standardized inoculum is cultivated in a 400 L laboratory reactor that was initially filled in with a biogas slurry and fed by a mixture of shredded wheat, soybean meal, rapeseed oil, maize silage and manure as described by Hülsemann et al. [41]. The experiment was conducted in accordance with standard methods [40] under mesophilic conditions of 37 ± 0.5 °C for a period of 35 days. In course of the fermentation process, the gas volume was manually recorded directly at the glass syringe in different time intervals (if at least 20 mL of gas was formed). The methane content was determined using an infrared-spectrometric methane sensor (Pronova Analysetechnik, Berlin, Germany). The experiment was performed in three repetitions. The results of the experiment are expressed in the determined specific methane yields for the samples in m3∙kg−1VS. Gas yield was corrected at conditions of 273 °K, 1.013 bar (STP - standard temperature and pressure).

2.3.2. AMY

The areal methane yield of the crop samples, in m3CH4∙ha−1 was calculated as defined by the following equation:
A M Y i j = S M Y i j · D M Y i j · ( V S D M ) i j
where i is related to an i-th crop variety, j represents the j-th harvesting time; SMYij, DMYij and (VSDM)ij are specific methane yield, dry matter yield and volatile solids content related to dry matter for i-th variety and j-th harvesting time.

2.4. Statistical Analysis

For data processing and visualization, Microsoft EXCEL 2016, R and RStudio (version 1.1.463) and SAS 9.4 were used. In the statistical analysis, the Tukey-test and the generalized linear model function were applied

3. Results and Discussion

The maize, sweet sorghum and miscanthus have shown the highest values of SMY and AMY. Therefore, the results of these plants are first discussed separately. In the following section, there are combined the research results for soybean, soriz, switchgrass and paulownia. Finally, the effect of DMY on AMY and the specific nitrogen use efficiency of the plants were investigated.

3.1. Maize

Five varieties of maize (Zea mays L.) were analysed: “Varta MV” (FAO 280), “Shedevr MV” (FAO 320), “Slobozhans’kyi MV” (FAO 290), “Svitanok MV” (FAO 250) and “Kardynal MV” (FAO 280). The selected varieties represented a wide ripeness spectrum (FAO 250–320). While “Varta MV” and “Shedevr MV” are especially recommended for steppe zones, the variety “Slobozhans’kyi MV” is preferably grown on humid sites and the varieties “Svitanok MV” and “Kardynal MV” grow best in the steppe, forest-steppe and marshlands covered with shrubs known as ”Polesia”.
According to literature, the highest methane yields for maize can be obtained when harvesting it in the vegetation stage of milk to wax ripeness (BBCH-codes 73–85) [12,23]. However, the timing of these vegetation stages depends on the crop variety and weather conditions. The values of DMFM, VSDM, DMY and crop N uptake are provided in Table 3; the SMY, AMY and BBCH-codes of the maize samples are given in Figure 2.
According to the research results for all the maize varieties, the samples harvested at H3 harvesting time (BBCH-codes 87–89) had the highest average values of DMFM (42.68 ± 7.44%), VSDM (96.30 ± 0.86%), DMY (14.67 ± 3.56 tDM ha−1), crop N uptake (135.98 ± 47.34 kgN ha−1) and AMY (4929.99 ± 1285.53 m3 ha−1). However, the highest average values of SMY (0.35 ± 0.03 m3 kg−1VS) were measured for the maize samples harvested at H2 harvesting time (BBCH-codes 83–85).
As it is shown in Figure 2, the highest SMY of 0.41 ± 0.00 m3 kg−1VS was measured for the variety “Svitanok MV” from the harvesting time H2 (BBCH-codes 83–85), while the highest AMY value (6365.67 ± 55.49 m3 ha−1) was determined for the same variety, which was harvested at H3 (BBCH-code 87).
For Western European countries (Austria, Belgium, Germany) specific methane yields between 0.295 and 0.430 m3 kg−1VS are reported [10,12,14,22,42,43,44], for Southern European countries (Italy, Spain) between 0.203 and 0.419 m3 kg−1VS [25,45] and for Northern European countries (Sweden) between 0.280 and 0.370 m3 kg−1VS [20]. The investigations from the different countries show that areal methane yields of between 2900 and 12,390 m3 ha−1 can be achieved with maize silage [12,22,43,44], with large fluctuations between the individual years. The results of these investigations on the specific methane yields are in the middle range of those values for the Western European countries. The data on areal methane yields should be verified in multi-year studies.

3.2. Sweet Sorghum

Four varieties of sweet sorghum (species Sorghum saccharatum (L.) Moench) were analysed: “Sylosne 42”, “Favoryt”, “Zubr”, and “Mamont”. The selected varieties have the following characteristics and recommended growing zones in Ukraine: “Sylosne 42” and “Favoryt” grow best in the Polesia zone with mid-ripening group of ripeness; “Zubr” grows best in the steppe and forest-steppe; “Mamont” grows best in the steppe zone with mid-ripening group of ripeness.
The values of DMFM, VSDM, DMY and crop N uptake are provided in Table 4; the SMY, AMY and BBCH-codes of the sweet sorghum samples are given in Figure 3.
The vegetation stages of the samples for the three analysed harvesting times varied between the stage of shooting/the appearance of the last leaf (BBCH-code 37) and the mid-stage of milk ripeness (BBCH-code 75). The H3 harvesting time was related to the period between the mid-stage of inflorescence (earing) and the mid-stage of milk ripeness (BBCH-codes 55–75). The sweet sorghum samples harvested at H3 had the highest average values of DMFM (23.99 ± 0.59%), VSDM (95.43 ± 0.48%), DMY (14.91 ± 2.89 tDM ha−1), crop N uptake (177.88 ± 80.26 kgN ha−1), SMY (0.33 ± 0.02 m3 kg−1VS) and AMY (4767.17 ± 1125.41 m3 ha−1).
As shown in Figure 3, the highest SMY of 0.35 ± 0.02 m3 kg−1VS was measured for the variety “Zubr” from the harvesting time H2 (BBCH-codes 55–59), while the highest AMY value of 5968.90 ± 82.70 m3 ha−1 was determined for the variety “Favoryt” harvested at H3 (BBCH-code 61).
For sorghum from Western European countries (Germany), specific methane yields between 0.263 and 0.328 m3 kg−1VS are reported [10,43]; for Southern European countries (Italy, Spain), the SMY varied between 0.240 and 0.386 m3 kg−1VS [25,45]. For German sorghum, areal methane yields of between 2900 and 3722 m3 ha−1 can be achieved [43]. The results of these investigations on the specific methane yields are in the middle range of those values for the Southern European countries. The maximal results of the areal methane yields determined for Ukrainian sorghum were higher than those values for German sorghum. However, the data on areal methane yields should be verified in multi-year studies.

3.3. Miscanthus

For biogas production from perennial grasses, harvesting time after the ear-emergence stage is recommended [12]. According to Kiesel and Lewandowski (2017) [15], the SMY of miscanthus decreases with later harvesting times, and the AMY obtained from miscanthus is positively correlated with its DMY and SMY.
Two varieties of miscanthus bred and patented by the Institute of Bioenergy Crops and Sugar Beet of Ukraine for energy purposes were analysed in this study:
-
Species Giant Chinese Silver Grass: Miscanthus x giganteus J.M Greef & Deuter ex Hodkinson Renvoiz, the variety name “Osinnii zoretsvit”. We refer to the analysed variety simply as “Giganteus”.
-
Species Chinese Silver Grass: Miscanthus sinensis Anderss., the variety name “Misiachnyi promin`”. We refer to this variety simply as “Sinensis”.
Both analysed miscanthus varieties are recommended for growing in the Polesia and the forest-steppe zones in Ukraine.
As it is stated in literature [11,16,46], the age of plantation and environmental factors, such as site, climate and weather conditions, have a direct impact on miscanthus yields, furthermore, mature or stabilized crop yields start from second to fourth year of vegetation and last for at least 15 years. The year of vegetation corresponds to the age of miscanthus rhizomes in soil. For this reason, both analysed miscanthus varieties were harvested from the 3rd vegetation year. For examining whether there is an effect of the age of miscanthus on its SMY and AMY, the miscanthus “Giganteus” (variety “Osinnii zoretsvit”) from the 8th vegetation year was additionally analysed.
The values of DMFM, VSDM, DMY and crop N uptake are provided in Table 5; the SMY, AMY and BBCH-codes of the miscanthus samples are given in Figure 4.
The samples were harvested in the period between the stem elongation, booting and before the inflorescence emergence stage (BBCH-codes 36–47). All miscanthus samples had the highest average DMFM (47.80 ± 3.29%) when harvested at H3 (BBCH-codes 41–47). The highest average VSDM content (95.13 ± 1.90%) was measured for the samples harvested at H2 (BBCH-codes 39–43). All tested varieties showed the highest average DMY (22.12 ± 8.57 tDM ha−1) during the third harvesting period. However, the DMY values for “Giganteus” varied between the samples from different vegetation years. The maximum DMY (30.43 ± 0.85 tDM ha−1) was determined for “Giganteus” from the 8th vegetation year harvested at H3 (BBCH-code 41). The highest average crop N uptake (104.97 ± 33.38 kgN ha−1) of miscanthus is related to the H3 harvesting time. Nonetheless, N uptake varied between the varieties: at H3 the uptake for “Sinensis” was 66.50 ± 1.86 kgN ha−1 (BBCH-code 47), while for two “Giganteus” samples from H3 the determined average crop N uptake was 124.19 ± 0.10 kgN ha−1 (BBCH-code 41). In spite of that, the highest average SMY of 0.26 ± 0.04 m3 kg−1VS and the highest average AMY of 4805.44 ± 2357.94 m3 ha−1 corresponded to the crop samples from H1 (BBCH-codes 36–39). There was also a big difference in SMY between the samples. The highest SMY (0.29 ± 0.02 m3 kg−1VS) and the highest AMY (7404.55 ± 199.00 m3 ha−1) were measured for “Giganteus” from the 8th vegetation year harvested at H1 (BBCH-code 36).
For Germany, the specific methane yields for miscanthus between 0.179 and 0.280 m3 kg−1VS are reported [10,15]. The areal methane yields for German miscanthus varied between 2300 and 6400 m3 ha−1 [15]. The results of these investigations are in the middle range of the values reported in the literature, except for miscanthus “Giganteus” from the 8th vegetation year with the higher SMY and AMY values.

3.4. Data Analysis for Maize, Sweet Sorghum and Miscanthus

A generalized linear model procedure was used for the analysis of data based on the results for maize, sweet sorghum and miscanthus. Based on the modelling results, the following conclusions can be drawn:
SMY was significantly affected by the BBCH-code (p = 0.0009) and by the variety (p < 0.0001). The highest SMY was determined for the analysed maize and sweet sorghum samples. The highest SMY values for the maize samples were related to the vegetation stage of wax to full ripeness (BBCH-codes 83–87). For sweet sorghum, the highest SMY corresponded to the period between the mid-stage of inflorescence (earing) and the flowering stage (BBCH-codes 55–61). For miscanthus, the highest SMY values were determined for the samples harvested at earlier harvesting times, which corresponded to the vegetation period between the stem elongation and booting (BBCH-codes 36–39).
AMY was significantly affected by the BBCH-code (p = 0.0024) and by the variety (p < 0.0001). The highest AMY among the three crops was found for miscanthus “Giganteus” from the 8th vegetation year harvested at H1 (7404.55 ± 199.00 m3 ha−1, BBCH-code 36). For maize and sweet sorghum, the highest yields were found when collected at the third harvesting time. When harvested at H3, the mean AMY values for maize with the highest yields (4929.99 ± 1285.53 m3 ha−1, BBCH-codes 87–89) have slightly overperformed those values for sweet sorghum (4767.17 ± 1125.41 m3 ha−1, BBCH-codes 55–75). Thus, the AMY of miscanthus was about 50% higher than that of the traditional energy crops maize and sweet sorghum. Miscanthus has an additional advantage of being a perennial crop, which can be cultivated for more than 20 years; moreover, this crop can be grown on marginal and contaminated lands for soil phytoremediation [16,47]. Furthermore, the cultivation costs for miscanthus are lower, than those for maize and sweet sorghum. In further studies, SMY and AMY of miscanthus under other vegetation years up to the death of plantation have to be further investigated.

3.5. Other Analysed Crops

In addition to the “traditional” energy crops, also soybean, soriz, switchgrass and paulownia had been analysed according to their methane yield potential. These results are provided in Table 6. Soybean (Glycine max (L.) Merrill) can be successfully grown in rotation with a large variety of other plants [11], as well as in widely diverse climates and on varied soil types [48]. Soriz (Sorghum oryzoidum) is a hybrid of sorghum and rice, which was selected for this study for being nonexacting to soil with lodging resistance, as well as with resistance to smut diseases and lice [29]. Switchgrass (Panicum virgatum L.) is a perennial plant, which is valued for its soil stabilizing, phytoremediation and windbreaking capacities in crop fields [16,31]. Paulownia (Paulownia Sieb. et Zucc., species P. tomentosa x P. fortunei) is a very fast-growing plant, which is extremely adaptive to a wide range of soils and climatic conditions and can also be grown on marginal lands [34,49].
For switchgrass, specific methane yields between 0.191 and 0.309 m3 kg−1VS are reported for South European countries (Spain) [25]. Similar SMY were measured for switchgrass from Canada (between 0.210 and 0.365 m3 kg−1VS) with an AMY between 1500 and 3280 m3 ha−1 [21]. The results of these investigations on the specific methane yields from Ukrainian switchgrass are in the middle range of those values reported in the literature. However, the maximal results of the areal methane yields determined for Canadian switchgrass were higher than those values achieved in our study.

3.6. Influence of DMY on AMY

For all the analysed samples, when comparing DMY and AMY, a high correlation (R2 = 0.97) significant at the 0.001 probability level was found (see Figure 5). A rather small correlation was identified for only the samples from miscanthus “Giganteus”. With the exception of paulownia and miscanthus “Giganteus”, almost all varieties for all analysed crops have shown higher AMY values at higher DMY, harvested at the later stage of maturity.

3.7. Influence of Crop N Uptake on AMY

Crop N uptake is related to crop N demand, the dosage of fertilizer supplied, and the N contents in soil [50,51]. The generalised mechanism of N uptake by plants related to N supply is described by Lawlor [51]. A small correlation (R2 = 0.29, significant at the 0.001 probability level) was found between the crop N uptake and the AMY values for all the analysed samples (see Figure 6). The crop N uptake varied depending on plant, variety and harvesting time.
Among all the analysed research crops, miscanthus has the lowest N-demand per 1 m3 methane produced (23.41 ± 7.18 gN m−3). Maize has higher N-demand than miscanthus, but is more efficient in N-use compared to other analysed crops (29.58 ± 7.13 gN m−3). Switchgrass and sweet sorghum continue this list with their N-demand of 36.84 ± 13.87 gN m−3 and 39.08 ± 11.35 gN m−3, respectively. Paulownia, soriz and soybean are the least efficient in N use for producing 1 m3 methane among all the analysed plants.

4. Conclusions

In this study, Ukrainian energy crops were harvested at different harvesting times, related to the different stages of crop phenological development and analysed according to their dry matter content, volatile solids content, dry matter yield, crop nitrogen uptake, specific methane yield, and areal methane yield. Miscanthus, sweet sorghum and maize are, in that order, particularly well suited for use as energy crops in Ukraine. Whereas the AMY of maize and sweet sorghum are mainly influenced by DMY of the crops, the SMY of miscanthus has a great influence on its methane yield per hectare. In relation to the biogas formation potential, miscanthus and silage maize showed the highest nitrogen use efficiency. This means that they have the lowest N requirement relative to biogas formation. For the continental climate of Ukraine, miscanthus appears to be the most interesting energy crop under the aspects of cultivation costs, methane yield per area and nitrogen use efficiency.

Author Contributions

Conceptualization: I.M., A.L., M.R.; data curation: I.M., B.H.; formal analysis: I.M., B.H.; funding acquisition: H.O., A.L., I.M.; investigation: I.M., B.H.; project administration; I.M., H.O., A.L., M.R.; resources: H.O., A.L., M.R.; supervision: A.L.; visualization: I.M.; writing—original draft: I.M.; writing—review & editing: A.L., I.M., B.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the German Academic Exchange Service (Deutscher Akademischer Austauschdienst, DAAD) and the State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim. The APC was partly funded by the German Academic Exchange Service.

Acknowledgments

We would like to thank the Institute of Bioenergy Crops and Sugar Beet of Ukraine for the assistance with the cultivation of the crops. We want to thank Nina Morozova for her valuable help with harvesting and pretreatment of the samples. We are grateful Volodymyr Kvak, Valery Katelevsky, Mykhaylo Gumentyk, Oleksandr Ganzhenko, Pavlo Zykov, Viktor Sinchenko, Iryna Boiko, Galyna Sinchuk, Nadiia Kononyuk, Galyna Tsvigun, Liudmyla Pravdyva, Vadym Ivanina, Iryna Strigun and Oleksandra Tryboi for their advisory services and assistance with the laboratory analysis of the crop samples in Ukraine.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. State Statistics Service of Ukraine. Available online: http://www.ukrstat.gov.ua/ (accessed on 19 June 2020).
  2. Scarlat, N.; Dallemand, J.-F.; Fahl, F. Biogas: Developments and perspectives in Europe. Renew. Energy 2018, 129, 457–472. [Google Scholar] [CrossRef]
  3. State Agency on Energy Efficiency and Energy Saving of Ukraine. Ukraine, There Operate Biogas Plants with a Total Capacity of 70 MW (В Україні працюють біoгазoві устанoвки загальнoю пoтужністю 70 МВт). Available online: https://www.kmu.gov.ua/news/derzhenergoefektivnosti-v-ukrayini-pracyuyut-biogazovi-ustanovki-zagalnoyu-potuzhnistyu-70-mvt (accessed on 4 February 2020).
  4. Babych, M.M. Food security indicators in Ukraine: Development trends (Індикатoри прoдoвoльчoї безпеки в Україні: тенденції рoзвитку). Ekonomika APK 2018, 5, 41–50. [Google Scholar]
  5. State Service of Ukraine for Geodesy, Cartography & Cadastre. The Land Fund of Ukraine as of January 1, 2016 and the Dynamics of its Changes Compared to the Data as of January 1, 2015. (Земельний фoнд України станoм на 1 січня 2016 рoку та динаміка йoгo змін у пoрівнянні з даними на 1 січня 2015 рoку). Available online: https://land.gov.ua/info/zemelnyi-fond-ukrainy-stanom-na-1-sichnia-2016-roku-ta-dynamika-ioho-zmin-u-porivnianni-z-danymy-na-1-sichnia-2015-roku/ (accessed on 30 March 2020).
  6. SEEMLA Project-Horizon. 2020. Available online: https://www.seemla.eu/ukraine/ (accessed on 30 March 2020).
  7. Bioplat EU Project-Horizon. 2020. Available online: https://bioplat.eu/about (accessed on 30 March 2020).
  8. State Agency on Energy Efficiency and Energy Saving of Ukraine. Ukraine Will Implement a Program of State Support for Bioenergy Crops. Available online: https://www.ukrinform.ua/rubric-economy/2840751-v-ukraini-zaprovadat-programu-derzpidtrimki-bioenergeticnih-kultur.html (accessed on 19 June 2020).
  9. Lehtomäki, A. Biogas Production from Energy Crops and Crop Residues; University of Jyväskylä: Jyväskylä, Finland, 2006; ISBN 951-39-2559-5. [Google Scholar]
  10. Herrmann, C.; Idler, C.; Heiermann, M. Biogas crops grown in energy crop rotations: Linking chemical composition and methane production characteristics. Bioresour. Technol. 2016, 206, 23–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. El Bassam, N. Handbook of Bioenergy Crops; Routledge: Abingdon, UK, 2010; ISBN 978-1-84407-854-7. [Google Scholar]
  12. Amon, T.; Amon, B.; Kryvoruchko, V.; Machmüller, A.; Hopfner-Sixt, K.; Bodiroza, V.; Hrbek, R.; Friedel, J.; Pötsch, E.; Wagentristl, H.; et al. Methane production through anaerobic digestion of various energy crops grown in sustainable crop rotations. Bioresour. Technol. 2007, 98, 3204–3212. [Google Scholar] [CrossRef] [PubMed]
  13. Hübner, M.; Oechsner, H.; Koch, S.; Seggl, A.; Hrenn, H.; Schmiedchen, B.; Wilde, P.; Miedaner, T. Impact of genotype, harvest time and chemical composition on the methane yield of winter rye for biogas production. Biomass Bioenergy 2011, 35, 4316–4323. [Google Scholar] [CrossRef]
  14. Mukengele, M.M. Biochemical Composition of Biomass and its Impact on the Prediction of the Specific Methane Yield Potential; University of Hohenheim: Stuttgart, Germany, 2017. [Google Scholar]
  15. Kiesel, A.; Lewandowski, I. Miscanthus as biogas substrate-cutting tolerance and potential for anaerobic digestion. GCB Bioenergy 2017, 9, 153–167. [Google Scholar] [CrossRef]
  16. Zegada-Lizarazu, W.; Elbersen, H.W.; Cosentino, S.L.; Zatta, A.; Alexopoulou, E.; Monti, A. Agronomic aspects of future energy crops in Europe. Spec. Issue Biofuels Eur. 2010, 4, 674–691. [Google Scholar] [CrossRef]
  17. Kotrla, M.; Prčík, M. Evaluating the Effects of Climatic Parameters on Growth and Biomass Production of Miscanthus in Climate Conditions of Southern Slovakia. Pol. J. Environ. Stud. 2019, 29, 669–675. [Google Scholar] [CrossRef]
  18. Hui, D.; Yu, C.-L.; Deng, Q.; Dzantor, E.K.; Zhou, S.; Dennis, S.; Sauve, R.; Johnson, T.L.; Fay, P.A.; Shen, W.; et al. Effects of precipitation changes on switchgrass photosynthesis, growth, and biomass: A mesocosm experiment. PLoS ONE 2018. [Google Scholar] [CrossRef]
  19. Mast, B.; Lemmer, A.; Oechsner, H.; Reinhardt-Hanisch, A.; Claupein, W.; Graeff-Hönninger, S. Methane yield potential of novel perennial biogas crops influenced by harvest date. Ind. Crop. Prod. 2014, 58, 194–203. [Google Scholar] [CrossRef]
  20. Gissén, C.; Prade, T.; Kreuger, E.; Nges, I.A.; Rosenqvist, H.; Svensson, S.-E.; Lantz, M.; Mattsson, J.E.; Börjesson, P.; Björnsson, L. Comparing energy crops for biogas production–Yields, energy input and costs in cultivation using digestate and mineral fertilisation. Biomass Bioenergy 2014, 64, 199–210. [Google Scholar] [CrossRef]
  21. Massé, D.; Gilbert, Y.; Savoie, P.; Bélanger, G.; Parent, G.; Babineau, D. Methane yield from switchgrass harvested at different stages of development in Eastern Canada. Bioresour. Technol. 2010, 101, 9536–9541. [Google Scholar] [CrossRef] [PubMed]
  22. Schumacher, B. Studies on the Processing and Conversion of Energy Crops into Biogas and Bioethanol (Untersuchungen zur Aufbereitung und Umwandlung von Energiepflanzen in Biogas und Bioethanol); University of Hohenheim: Stuttgart, Germany, 2008. [Google Scholar]
  23. Sawatdeenarunat, C.; Surendra, K.C.; Takara, D.; Oechsner, H.; Khanal, S.K. Anaerobic digestion of lignocellulosic biomass: Challenges and opportunities. Bioresour. Technol. 2015, 178, 178–186. [Google Scholar] [CrossRef] [PubMed]
  24. Korres, N. Bioenergy Production by Anaerobic Digestion; Routledge: Abingdon, UK, 2013; ISBN 9780203137697. [Google Scholar]
  25. Raposo, F.; De La Rubia, M.Á.; Fernández-Cegrí, V.; Borja, R. Anaerobic digestion of solid organic substrates in batch mode: An overview relating to methane yields and experimental procedures. Renew. Sust. Energy Rev. 2012, 16, 861–877. [Google Scholar] [CrossRef]
  26. El-Mashad, H.M. Biomethane and ethanol production potential of Spirulina platensis algae and enzymatically saccharified switchgrass. Biochem. Eng. J. 2015, 93, 119–127. [Google Scholar] [CrossRef]
  27. Agbor, V.B.; Cicek, N.; Sparling, R.; Berlin, A.; Levin, D.B. Biomass pretreatment: Fundamentals toward application. Biotechnol. Adv. 2011, 29, 675–685. [Google Scholar] [CrossRef]
  28. Behera, S.; Arora, R.; Nandhagopal, N.; Kumar, S. Importance of chemical pretreatment for bioconversion of lignocellulosic biomass. Renew. Sust. Energy Rev. 2014, 36, 91–106. [Google Scholar] [CrossRef]
  29. Galaev, O.V.; Shevchuk, G.Y.; Dudchenko, V.V.; Sivolap, Y.M. Molecular genetic analysis of the soriz genome (Sorghum oryzoidum). Cytol. Genet. 2011, 45, 208–213. [Google Scholar] [CrossRef]
  30. Ministry of Agrarian Policy and Food. State Register of Plant Varieties Suitable for Dissemination in Ukraine in 2019 (Реєстр Сoртів Рoслин, Придатних для Пoширення в Україні на 2019 рік); Ministry of Agrarian Policy and Food: Kyiv, Ukraine, 2019.
  31. Brown, R.C.; Brown, T.R. Biorenewable Resources. Engineering New Products from Agriculture, 2nd ed.; Wiley-Blackwell: Chichester, UK, 2014; ISBN 978-1-1185-2495-4. [Google Scholar]
  32. Hu, S.-Y. The Economic Botany of the Paulownias. Econ. Bot. 1961, 15, 11–27. [Google Scholar]
  33. Smart, A.J.; Moser, L.E. Morphological Development of Switchgrass as Affected by Planting Date. Agron. J. 1997, 89, 958–962. [Google Scholar] [CrossRef] [Green Version]
  34. Icka, P.; Damo, R.; Icka, E. Paulownia Tomentosa, a Fast Growing Timber. Ann. Valahia Univ. Targoviste Agricult. 2016, 10, 14–19. [Google Scholar] [CrossRef] [Green Version]
  35. Tejera, M.D.; Heaton, E.A. Description and Codification of Miscanthus × giganteus Growth Stages for Phenological Assessment. Front. Plant Sci. 2017, 8, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Meier, U. Development Stages of Mono- and Dicotyledonous Plants (Entwicklungsstadien mono- und dikotyler Pflanzen), 2nd ed.; BBCH Monografie: Berlin, Germany, 2001. [Google Scholar]
  37. American Public Health Association; American Water Works Association; Water Environment Federation. Standard Methods for the Examination of Water and Wastewater; American Public Health Association: Washington, DC, USA, 1998; ISBN 0-87553-235-7. [Google Scholar]
  38. Kalra, Y.P. Handbook of Reference Methods for Plant Analysis; CRC Press: Boca Raton, FL, USA, 1998; ISBN 978-1-57444-124-6. [Google Scholar]
  39. Mittweg, G.; Oechsner, H.; Hahn, V.; Lemmer, A.; Reinhardt-Hanisch, A. Repeatability of a laboratory batch method to determine the specific biogas and methane yields. Eng. Life Sci. 2012, 12, 270–278. [Google Scholar] [CrossRef]
  40. VDI 4630: VDI-Society Energy and Environment. VDI 4630 Fermentation of Organic Materials. Characterization of the Substrate, Sampling, Collection of Material Data, Fermentation Tests; VDI-Verlag: Düsseldorf, Germany, 2006. [Google Scholar]
  41. Hülsemann, B.; Zhou, L.; Merkle, W.; Hassa, J.; Müller, J.; Oechsner, H. Biomethane Potential Test: Influence of Inoculum and the Digestion System. Appl. Sci. 2020, 10, 2589. [Google Scholar] [CrossRef] [Green Version]
  42. Dandikas, V.; Heuwinkel, H.; Lichti, F.; Drewes, J.E.; Koch, K. Correlation between biogas yield and chemical composition of energy crops. Bioresour. Technol. 2014, 174, 316–320. [Google Scholar] [CrossRef] [PubMed]
  43. Herrmann, C.; Prochnow, A.; Heiermann, M.; Idler, C. Particle Size Reduction During Harvesting of Crop Feedstock for Biogas Production II: Effects on Energy Balance, Greenhouse Gas Emissions and Profitability. Bioenerg. Res. 2012, 5, 937–948. [Google Scholar] [CrossRef]
  44. Mayer, F.; Gerin, P.A.; Noo, A.; Foucart, G.; Flammang, J.; Lemaigre, S.; Sinnaeve, G.; Dardenne, P.; Delfosse, P. Assessment of factors influencing the biomethane yield of maize silages. Bioresour. Technol. 2014, 153, 260–268. [Google Scholar] [CrossRef]
  45. Battista; Frison; Bolzonella. Energy and Nutrients’ Recovery in Anaerobic Digestion of Agricultural Biomass: An Italian Perspective for Future Applications. Energies 2019, 12, 3287. [Google Scholar] [CrossRef] [Green Version]
  46. Caslin, B.; Finnan, J.; Easson, L. Miscanthus. Best Practice Guidelines; Johnston, C., Ed.; Ecclesville Printing Services Ltd.: Belfast, UK, 2015; ISBN 1-84170-611-5. [Google Scholar]
  47. Barbosa, B.; Boléo, S.; Sidella, S.; Costa, J.; Duarte, M.P.; Mendes, B.; Cosentino, S.L.; Fernando, A.L. Phytoremediation Potential of Heavy Metal Contaminated Soils by the Perennial Energy Crops Miscanthus SPP. and Arundo Donax L. under Low Irrigation; ETA-Florence Renewable Energies: Florence, Italy, 2018. [Google Scholar]
  48. Bennett, J.M.; Hicks, D.R.; Naeve, S.L.; Minnesota Soybean Growers Association. The Minnesota Soybean Field Book; University of Minnesota Extension Service: Minneapolis, MN, USA, 1999. [Google Scholar]
  49. Yadav, N.K.; Vaidya, B.N.; Henderson, K.; Lee, J.F.; Stewart, W.M.; Dhekney, S.A.; Joshee, N. A Review of Paulownia Biotechnology: A Short Rotation, Fast Growing Multipurpose Bioenergy Tree. AJPS 2013, 4, 2070–2082. [Google Scholar] [CrossRef] [Green Version]
  50. Chen, P.; Du, Q.; Liu, X.; Zhou, L.; Hussain, S.; Lei, L.; Song, C.; Wang, X.; Liu, W.; Yang, F.; et al. Effects of reduced nitrogen inputs on crop yield and nitrogen use efficiency in a long-term maize-soybean relay strip intercropping system. PLoS ONE 2017, 12, e0184503. [Google Scholar] [CrossRef] [Green Version]
  51. Lawlor, D. Carbon and nitrogen assimilation in relation to yield: Mechanisms are the key to understanding production systems. J. Exp. Bot. 2002, 53, 773–787. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The comparison of weather conditions, such as monthly temperature and monthly precipitation, at the field locations during the cultivation period of the crop samples in 2017 with those values in years 1985–2016. Error bars indicate the monthly variability of temperature and precipitation in 2017.
Figure 1. The comparison of weather conditions, such as monthly temperature and monthly precipitation, at the field locations during the cultivation period of the crop samples in 2017 with those values in years 1985–2016. Error bars indicate the monthly variability of temperature and precipitation in 2017.
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Figure 2. Specific methane yield (SMY) and areal methane yield (AMY) of the maize varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between all the maize samples according to the results of the Tukey test.
Figure 2. Specific methane yield (SMY) and areal methane yield (AMY) of the maize varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between all the maize samples according to the results of the Tukey test.
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Figure 3. Specific methane yield (SMY) and areal methane yield (AMY) of the sweet sorghum varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between all the maize samples according to the results of the Tukey test.
Figure 3. Specific methane yield (SMY) and areal methane yield (AMY) of the sweet sorghum varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between all the maize samples according to the results of the Tukey test.
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Figure 4. Specific methane yield (SMY) and areal methane yield (AMY) of the miscanthus varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. The analysed varieties were: (1) Species Giant Chinese Silver Grass: Miscanthus x giganteus J.M. Greef & Deuter ex Hodkinson Renvoiz, the variety name “Osinnii zoretsvit”, referred to as “Giganteus”. (2) Species Chinese Silver Grass: Miscanthus sinensis Anderss., the variety name “Misiachnyi promin`”, referred to as “Sinensis”. “Giganteus” from the 3rd and the 8th years of vegetation and “Sinensis” from the 3rd vegetation year were analysed. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between the analysed miscanthus samples according to the results of the Tukey test.
Figure 4. Specific methane yield (SMY) and areal methane yield (AMY) of the miscanthus varieties harvested at H1, H2 and H3 harvesting times, which correspond to a certain BBCH-code related to a specific stage of crop phenological development. The analysed varieties were: (1) Species Giant Chinese Silver Grass: Miscanthus x giganteus J.M. Greef & Deuter ex Hodkinson Renvoiz, the variety name “Osinnii zoretsvit”, referred to as “Giganteus”. (2) Species Chinese Silver Grass: Miscanthus sinensis Anderss., the variety name “Misiachnyi promin`”, referred to as “Sinensis”. “Giganteus” from the 3rd and the 8th years of vegetation and “Sinensis” from the 3rd vegetation year were analysed. Histograms are charted based on the mean values; error bars indicate the variability between the three replications. Lower case letters indicate significant differences between the analysed miscanthus samples according to the results of the Tukey test.
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Figure 5. Correlation between dry matter yield (DMY) in t ha−1 and areal methane yield (AMY) in m3 ha−1 for the total of 22 varieties from 7 crops harvested in three harvesting times (H1, H2 and H3) in 2017 (total amount of samples n = 66).
Figure 5. Correlation between dry matter yield (DMY) in t ha−1 and areal methane yield (AMY) in m3 ha−1 for the total of 22 varieties from 7 crops harvested in three harvesting times (H1, H2 and H3) in 2017 (total amount of samples n = 66).
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Figure 6. Correlation between crop nitrogen (N) uptake in kg ha−1 and areal methane yield (AMY) in m3 ha−1 for the total of 22 varieties from 7 crops harvested in three harvesting times (H1, H2 and H3) in 2017 (total amount of samples n = 66).
Figure 6. Correlation between crop nitrogen (N) uptake in kg ha−1 and areal methane yield (AMY) in m3 ha−1 for the total of 22 varieties from 7 crops harvested in three harvesting times (H1, H2 and H3) in 2017 (total amount of samples n = 66).
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Table 1. The basic characteristics of the bioenergy crops.
Table 1. The basic characteristics of the bioenergy crops.
Name of Plant Climate PreferenceCarbon FixationAnnual/PerennialClassReference
SoybeanCool seasonC3AnnualLegume[11,16,31,32,33,34,35]
MaizeWarm seasonC4AnnualGrass
Sweet sorghumWarm seasonC4AnnualThick-stemmed grass
Sorghum oryzoidum or rice sorghum (soriz)Warm seasonC4AnnualThick-stemmed grass
SwitchgrassWarm seasonC4PerennialThin-stemmed grass
MiscanthusCool seasonC4PerennialThick-stemmed grass
PaulowniaWarm seasonC3PerennialFast growth coppice
Table 2. Fertilizer application at the fields where the analysed bioenergy crops were cultivated.
Table 2. Fertilizer application at the fields where the analysed bioenergy crops were cultivated.
Name of PlantFertilizerDosage AppliedApplication Time
SoybeanAmmonia nitrate (NH4NO3, consists
34.5% N)
100 kg ha−1Application during presowing cultivation
MaizeNitroammophos
(NH4NO3 + NH4H2PO4,
consists 21.0–25.0% N, 20.0–25.5% P2O5)
150 kg ha−1Application in autumn before plowing
Ammonia nitrate (NH4NO3,
consists 34.5% N)
300 kg ha−1Post-emergence fertilizing
Sweet sorghum, Sorghum oryzoidum or rice sorghum (soriz)Superphosphate
(consists 14.0–21.0% P2O5)
200 kg ha−1Post-emergence fertilizing
SwitchgrassSuperphosphate
(consists 14.0–21.0% P2O5)
200 kg ha−1Application during presowing cultivation
MiscanthusSuperphosphate
(consists 14.0–21.0% P2O5)
200 kg ha−1Application during cultivation, before planting the rhizomes
PaulowniaAsh (consists ~4.6% P2O5,
~3.2% K2O)
16,000 kg ha−1 (1 kg of ash per plant)Application during hole planting of seedlings
Table 3. Maize: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
Table 3. Maize: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
CultivarHarvesting
Time
DMFM *, [%]VSDM **, [%]DMY ***,
[tDM ha−1]
Crop N Uptake,
[kgN ha−1]
Kardynal MVH124.4 (1.10)93.9 (4.22)7.30 (0.33)55.45 (2.46)
Shedevr MVH125.0 (1.13)93.2 (4.19)7.70 (0.35)87.8 (3.95)
Slobozhans’kyi MVH127.7 (1.25)93.4 (4.20)10.1 (0.46)71.0 (3.19)
Svitanok MVH124.3 (1.09)93.7 (4.22)9.75 (0.44)116.9 (5.26)
Varta MVH126.9 (1.21)94.3 (4.25)8.91 (0.40)76.6 (3.49)
Kardinal MVH225.8 (0.52)96.5 (1.93)7.71 (0.15)58.63 (1.17)
Shedevr MVH227.4 (0.55)96.1 (1.92)8.44 (0.17)96.2 (1.92)
Slobozhans’kyi MVH236.9 (0.74)96.1 (1.92)13.5 (0.27)94.6 (1.89)
Svitanok MVH225.6 (0.51)81.3 (1.63)10.3 (0.21)123.24 (2.47)
Varta MVH235.4 (0.71)96.9 (1.94)11.7 (0.23)100.8 (2.02)
Kardinal MVH339.4 (1.10)95.4 (2.67)11.78 (0.33)89.5 (2.51)
Shedevr MVH332.2 (0.90)95.7 (2.68)9.91 (0.28)113.0 (3.17)
Slobozhans’kyi MVH345.6 (1.28)95.9 (2.69)16.7 (0.47)116.8 (3.27)
Svitanok MVH344.0 (1.23)97.3 (2.72)17.7 (0.49)211.8 (5.93)
Varta MVH352.2 (1.46)97.2 (2.72)17.3 (0.48)148.7 (4.16)
* The dry matter content related to fresh matter, ** Volatile solids content related to dry matter, *** Dry matter yield.
Table 4. Sweet sorghum: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
Table 4. Sweet sorghum: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
CultivarHarvesting
Time
DMFM *, [%]VSDM **, [%]DMY ***,
[tDM ha−1]
Crop N Uptake,
[kgN ha−1]
FavorytH119.7 (0.89)92.6 (4.17)14.2 (0.64)136.8 (6.16)
MamontH124.0 (1.08)92.8 (4.17)17.8 (0.80)284.6 (12.8)
Sylosne 42H122.3 (1.00)94.1 (4.24)11.0 (0.49)76.8 (3.46)
ZubrH123.8 (1.07)92.8 (4.18)12.7 (0.57)178.1 (8.01)
FavorytH220.9 (0.42)95.3 (1.91)15.1 (0.30)145.1 (2.90)
MamontH223.6 (0.47)94.5 (1.89)17.5 (0.35)279.8 (5.60)
Sylosne 42H222.6 (0.45)94.1 (1.88)11.1 (0.22)77.9 (1.56)
ZubrH224.1 (0.48)92.3 (1.85)12.9 (0.26)180.3 (3.61)
FavorytH324.0 (0.67)95.9 (2.68)17.4 (0.49)166.7 (4.67)
MamontH323.4 (0.66)95.1 (2.66)17.3 (0.49)277.5 (7.77)
Sylosne 42H323.8 (0.67)94.9 (2.66)11.67 (0.33)81.8 (2.29)
ZubrH324.8 (0.69)95.8 (2.68)13.3 (0.37)185.6 (5.20)
* The dry matter content related to fresh matter, ** Volatile solids content related to dry matter, *** Dry matter yield.
Table 5. Miscanthus: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
Table 5. Miscanthus: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
Cultivar, Vegetation YearHarvesting
Time
DMFM *, [%]VSDM **, [%]DMY ***,
[tDM ha−1]
Crop N Uptake,
[kgN ha−1]
Giganteus, 3rd yearH144.4 (2.00)93.8 (4.22)20.5 (0.92)115.0 (5.18)
Giganteus, 8th yearH145.6 (2.05)92.9 (4.18)27.5 (1.24)110.1 (4.96)
Sinensis, 3rd yearH136.6 (1.65)91.0 (4.10)11.0 (0.50)55.2 (2.48)
Giganteus, 3rd yearH245.6 (0.91)97.5 (1.95)21.1 (0.42)118.0 (2.36)
Giganteus, 8th yearH246.9 (0.94)96.8 (1.94)28.3 (0.57)113.3 (2.27)
Sinensis, 3rd yearH238.6 (0.77)94.4 (1.89)11.6 (0.23)58.2 (1.16)
Giganteus, 3rd yearH348.9 (1.37)95.5 (2.67)22.6 (0.63)126.7 (3.55)
Giganteus, 8th yearH350.4 (1.41)96.8 (2.71)30.4 (0.85)121.7 (3.41)
Sinensis, 3rd yearH344.1 (1.23)93.1 (2.61)13.3 (0.37)66.5 (1.86)
* The dry matter content related to fresh matter, ** Volatile solids content related to dry matter, *** Dry matter yield.
Table 6. Soybean, soriz, switchgrass and paulownia: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
Table 6. Soybean, soriz, switchgrass and paulownia: DM and VS- content at harvest time, dry matter yield per hectare and N-uptake. Units are given in square brackets. Values are given as mean; standard deviation is given in round brackets.
CropAnalysed CultivarsDMFM *, [%]VSDM **, [%]DMY ***,
[tDM ha−1]
Crop N Uptake,
[kgN ha−1]
SMY,
[Nm3 ****kg−1VS]
AMY,
[Nm3 ha−1]
Soybean “Diona”, “Muza”, “Sharm”, “Sprytna”28.88 (4.74)90.17 (2.76)1.41 (0.71)20.47 (9.72)0.266 (0.025)341.77 (183.31)
Soriz “Kvarts”, “Saliut”, “Titan” 16.32 (3.07)92.16 (1.89)3.81 (1.21)0.06 (0.02)0.329 (0.006)1164.05 (407.62)
Switchgrass“Morozko” from the 2nd and the 8th vegetation years38.21 (5.77)95.21 (0.82)2.99 (0.89)24.78 (4.24)0.258 (0.006)732.77 (210.23)
Paulownia“Shantong” 25.87 (0.01)83.47 (5.58)7.08 (0.36)56.66 (2.85)0.231 (0.055)1363.95 (329.73)
* The dry matter content related to fresh matter, ** Volatile solids content related to dry matter, *** Dry matter yield, **** Nm3 (273° K, 1.013 bar).

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MDPI and ACS Style

Morozova, I.; Oechsner, H.; Roik, M.; Hülsemann, B.; Lemmer, A. Assessment of Areal Methane Yields from Energy Crops in Ukraine, Best Practices. Appl. Sci. 2020, 10, 4431. https://doi.org/10.3390/app10134431

AMA Style

Morozova I, Oechsner H, Roik M, Hülsemann B, Lemmer A. Assessment of Areal Methane Yields from Energy Crops in Ukraine, Best Practices. Applied Sciences. 2020; 10(13):4431. https://doi.org/10.3390/app10134431

Chicago/Turabian Style

Morozova, Ievgeniia, Hans Oechsner, Mykola Roik, Benedikt Hülsemann, and Andreas Lemmer. 2020. "Assessment of Areal Methane Yields from Energy Crops in Ukraine, Best Practices" Applied Sciences 10, no. 13: 4431. https://doi.org/10.3390/app10134431

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