1. Introduction
In China, meat is a large part of the dietary structure, especially pork, reaching 64.1% of the total meat production during the last five years [
1]. Therefore, much demand for pork stimulated the growth of large-scale and intensive pig production [
2,
3]. However, the vast amount of waste discharged from such raising systems can cause serious environmental problems [
4,
5,
6]. Meanwhile, with improvements in living standards, the increasing population pays more attention to food quality. Under such conditions, production according to China Green Food certification has received more attention [
7]. Green foods are agricultural products with China Green Food certification. Generally, such green foods mainly come from ecological systems; the ecological raising systems allow the proper application of modern science and technology within the scope of ecological and economic principles [
8]. Ecological pig-raising systems (EPRSs) use some unique methods to gain better environmental performance. The above approaches include applying microbiological agents instead of chemical agents to disinfect and control odors, using slatted floors to reduce water consumption, and without heavy-metal or synthetic additives in the diets [
9]. To some degree, ecological raising systems can deal with both environmental pressure and economic profit [
10].
EPRS system aims to benefit the environment during the pig raising process. The EPRS adopts modern sciences and technologies and system engineering methods following ecological and economic principles for more economic benefits and to protect natural resources. For example, the application of the biological agents instead of chemical agents, the application of the slatted floor to reduce the water wasting, and no use of heavy-metal or synthetic additives in the diets. EPRSs provide a balance point between the environment and profit. However, a large number of inputs and long raising period limit improvements to EPRSs [
11]. Generally, EPRSs reduce feed costs and sell pigs at light weights to avoid these two disadvantages [
12]. As a kind of monogastric animal, Pigs can digest some forage crops [
13,
14,
15]. During the fattening period, some plant fiber (crop byproducts, forage, etc.) is added to pig feed for reducing the cost [
16]. The concentration of plant fiber added to the feed affects the pigs’ growth rate. Generally, the percentage of plant fiber added was according to experience. Nearly no one knew how the environmental impact and economic profit would change with increased maize silage percentage. Therefore, feeding the appropriate concentration of plant fiber and adopting a convenient raising period can benefit the environment and economy more [
17,
18].
Previous studies have analyzed the performance of different pig production systems [
18,
19]. However, these studies just focused on comparing two existing systems [
20,
21], and they did not provide quantitative indices to improve system performance. Most data in current studies for emergy analysis came from survey questionnaires or statistical yearbooks instead of a direct data collection. Meanwhile, current studies focused on the pigs’ biological mechanism or production performance when plant fiber was added to the feed, without considering the entire raising system [
22,
23,
24]. Furthermore, few integrated the growth models and emergy analysis to provide quantitative indices for improving an existing system, although limited studies developed quantitative indices using other methods [
25,
26,
27]. Consequently, it is essential to develop growth models by directly collecting data, and assess the performance of the model outputs with different plant fiber concentrations and fattening periods in terms of the environment and economy. In this study, following the dominant cropping patterns in the North China Plain, i.e., winter wheat–summer maize, we took maize silage as the plant fiber added to the feed. The objectives of this study were to (1) provide a new method to output quantification results considering both environmental performances and economic profits, (2) reveal the environmental performance and profit trends with an increased concentration of plant fiber and extended fattening period, and (3) offer a balance point, which could guide the factual pig raising based on the model simulation.
2. Materials and Methods
2.1. Study Site
This study developed five EPRSs via simulation at the Beiqiu Farm (37°00′ N, 116°34′ E), located in Dezhou City, Shandong Province. Beiqiu Farm belongs to the Yucheng Comprehensive Experiment Station, Chinese Academy of Science, and aims to build a typical ecological family farm in the alluvial plain of the Yellow River (
Figure 1). Beiqiu Farm could be a typical representation of a pig raising farm in the North China Plain [
28]. The study area has a warm, temperate, semi-humid monsoon climate. The mean annual temperature and frost-free period are 13.1 °C and 200 d, respectively. In 2014–2016, the average yearly precipitation and wind speed were 451 mm and 2.413 m/s, respectively; the annual average solar radiation was 4936 MJ/m
2, including 2640 h of sunshine annually.
The Beiqiu farm covers 15.3 ha with about 10 ha of planting area and 1.5 ha of ecological pig production area. All feed except soybean meal consumed in the ecological raising system was obtained from the planting area. The feed at Beiqiu Farm is mainly silage, maize, soybean, and wheat bran, without any chemical additives. Vaccines and medicines are not used unless necessary to cure existing diseases. During the raising period, microbiological additives are used for disinfection.
2.2. Experimental Design
According to previous studies, the best production performance point was below 10% roughage addition [
29,
30,
31,
32]. We assumed the best production performance point might gain better environmental performance. With the limit of trails, we set a 10% addition level instead of a 20% level, aiming to achieve a result close to the actual effect. This study involved two trials. The first trial lasted from 27 July 2017 to 11 January 2018, with 0% and 40% maize silage (dry) added to the feed. The second trial was an extended experiment with 10%, 60%, and 80% maize silage (dry) added to the feed, from 6 September 2018 to 6 January 2019. The maize silage was harvested at the late milk stage. Then, the straw was harvested and packed by a silage baler. When the maize silage was fermented well, the fodder used to feed pigs would be dried by the sun and stored in the barn. All components were mixed with a grinder with a 20-mesh sieve during the feed preparation. In this study, the crude protein content of the maize silage (dry weight) was 10.54 ± 2.03%. The first trial raised 16 crossed pigs, and the second trial raised 15 crossed pigs. Every 4 or 5 crossbred Duroc × (Landrace × Northeastern Indigenous) pigs of both sexes were fed in 20 m
2 pens.
All pens had concrete slatted floors and were cleaned by a manure scraper under the floor to reduce water consumption. In summer, the pig house used two axial flow fans and wet curtains to maintain the indoor temperature below 30 °C. In winter, when the outdoor temperature was below 0 °C, all windows and doors of the pig house were closed, with no other heating methods. Every day 125 mL of a microbiological agent (ETS Gold Liquid Enzyme, ETS Biotechnology Development Co. Ltd., Tianjin, China) was diluted in 20 L of water and sprayed in the house for daily disinfection and odor control. Beiqiu Farm raises two batches of pigs every year. All piglets are bought from the market. Then, the piglets are raised with the ecological diet (only containing maize grain, soybean meal, and wheat bran meal). The composition of the feed of all EPRSs is listed in
Table 1.
2.3. Data Collection
In this study, the primary data were the pig weights and the amount of EPRS inputs (water, electricity, feed, medicine, microbiological materials, etc.). Pigs were weighed by an electronic cage scale (Lilang XK3190, Changzhouliliang Electronics Co., Ltd. Changzhou, China) at each growing phase. The amount of water and electricity consumed during the entire raising period was recorded by meters. The feed added every day was recorded as the amount of feed consumed. The amount of feed recorded was measured per pen. Additionally, the feed weight consumed per pig was the recorded data divided by the pig number per pen. The mean values of feed weight considered individual differences were suitable to use in the emergy analysis. Additionally, statistical indicators such as the standard deviation and coefficient of variation were not used for the emery analysis. Other economic data (building materials, equipment, sold price, etc.) were gained from the farm’s account books.
2.4. Pig Growth Modeling
A biological growth model reveals the general rules of development. Such models are widely used to predict future production performance in the commercial breeding field [
26]. Especially when the experimental conditions are limited, the pig growth modeling provides a way to gain vast amounts of data without setting too many trials [
33,
34]. Many biological growth models have been developed to describe pig growth and reveal related rules, such as the Logistic, Gompertz, Brody, and Bertalanffy models [
35,
36,
37,
38]. The formula of each model is listed below (Equations (1)–(4)). In this case, we calculated each pig growth model using the data collected from experiments and chose the best fitting model to construct the future database.
where W
t is the live weight of the pig at a specific time and
t is raising time in days.
For pig raising systems, the general raising periods are one or two batches a year. Very few pig raising systems feed pigs for more than a year. A short break between two batches is needed to disinfect the pens and fix some facilities. Thus, six time spans (60, 120, 180, 240, 300, and 360 raising days) were set to reveal the rules of the environmental performance with different concentrations of maize silage added and different raising periods. The soybean meal concentration is 15% in all trials, as soybean meal was the primary source of protein in the diet. It is unclear if the growth models would still fit when the soybean meal concentration decreased, so we set 80% (the percentage of maize silage added to the feed) as the x-axis’s upper limit to ensure the model’s matching degree. Then, the balance point of the suitable diet component and raising period was calculated. In the Discussion section, we predict the changing trend when the percentage of maize silage is extended to 100%.
The systematic deviation of cumulative feed consumption calculated by the model was smaller than that of daily feed consumption. Then, the cumulative feed consumption (CFI) was calculated based on the allometric growth model [
39,
40]. As our experimental data were not collected from the time the pigs were born, a constant coefficient was used to reflect the cumulative feed consumption from the pigs’ birth to the start of the experiment.
where CFI is the cumulative feed intake; W
t is the live weight of the pig at a specific time;
a is the regularization constant;
b is the scaling exponent;
c is feed consumption before pigs taken in the trails.
All model fitting and calculations were carried out by MATLAB R2015b, 1stOpt 1.5 Pro, and Microsoft Excel 2010.
2.5. Emergy Analysis
Emergy analysis is a systematic analysis approach that transforms different units of materials and energy and economic data into one standard unit—the solar emjoules (seJ). The unique energy systems language (ESL) can reveal the internal relationships among different parts of an entire system [
41,
42]. Good evaluation indices derived from the emergy analysis could reflect one system’s integrated performance (
Figure 2) [
43,
44]. The unit emergy value (UEV) reflects the emergy efficiency of the yield and key transformed parameters [
45,
46]. Emergy yield ratio (EYR) shows the utilization efficiency of emergy invested [
45]. The environmental loading ratio (ELR) shows the pressure of the whole system on the environment [
43]. The emergy sustainability index (ESI) shows one system’s sustainability degree [
43]. These four indexes could provide an integrated evaluation of a system. These advantages make it easier to compare different systems. In this study, UEV, EYR, ELR, and ESI were used to evaluate the various systems (
Table 2).
As the two trials lasted from 2017 to 2019, we chose the UEV of the Chinese yuan (¥) in 2018 as the conversion coefficient. There was a near-linear correlation between actual gross domestic product (GDP) and total emergy inputs. The UEV of the Chinese yuan (¥) in 2018 was calculated based on the UEV (7.27 × 1011 seJ/¥ with 9.26 × 1024 seJ/year baseline) calculated by Yang et al. (2010) in 2005 [
47]. The GDP deflator from 2005 to 2018 was 3.03 [
48]. The UEV of the Chinese yuan (¥) in 2018 was 3.11 × 1011 seJ/¥ (12.0 × 1024 seJ/year baseline). In this study, the global emergy baseline was 12.00 × 1024 seJ/year. All UEVs from other baselines were converted to the same baseline by multiplying by a coefficient.
2.6. Economic Analysis
Economic benefits can stimulate the formation and development of a system. For most farmers, the dominant aim is to earn more profit. If a new environmentally friendly technology or method increases profit, it could be considered in practical applications. In this study, we chose profit as the economic index (profit per live pig body weight) to reflect the performance of a system in terms of economic aspects. Profit can reflect the cost and price of production indirectly. The economic analysis was calculated based on the inputs and outputs of systems.
3. Results
3.1. Pig Growth Modeling
Based on the raw data, the models were calculated by 1stOpt software with nonlinear fitting. The raw data of the experiments are listed in
Table 2, and the calculated models are listed in
Table 3. Comparing the results of generated models, the maximum body weights of groups A, B, C, D, and E with corresponding values of 188.8 kg, 370.8 kg, 224.6 kg, 153.8 kg, and 148.6 kg, respectively, were obtained from the logistical growth model. Among the maximum weight, group B (10% sun-dried maize silage added) had the greatest potential to reach the heaviest live weight. However, group E (80% sun-dried maize silage added) with the smallest coefficient
a value (Equation (2)) had the least weight.
In order to reveal the rules about the effects of time span and maize silage concentration on the entire raising system, we chose 60, 120, 180, 240, 300, and 360 days to obtain W
t and CFI data. The time spans reflected the actual pig raising period (1–4 batches a year) based on different raising methods. The data details were the basics in the emergy and economic evaluation (
Table 4). The initial weight was 40 kg, as the feed component in these trials stayed fixed when the pig’s live body weight reached 40 kg.
3.2. Emergy Analysis
The emergy input and output details can be found in the
Supplementary Materials (
Table S1). The main emergy indices of the EPRSs are shown in
Table 5, which was the basic data used to draw matched curves.
3.2.1. EYR Trend
Generally, higher EYR means better production capacity by investing emergy from outside. The EYR results showed that, from 60 to 360 days, the EYR increased with raising growing period (
Table 5). The matched curves of maximum EYR and raising period had a linear relationship, suggesting the longer periods boost the increasing of EYR. In this study, 360 days was the upper limit for the EPRS, so the best raising period was 360 days. On the other side, the fitting curves of EYR and the percentage of maize silage were cubic equations (
Figure 3), and the two extremes became clearer with the increased raising time. The first extreme EYR values are mainly located in the range of 10–30% of maize silage added, and the minimum EYR values are found in the range of 60–80%. The best raising period was 360 days, the best percentage of maize silage added was 19.0%, and the other extreme point (69.5%) with 360 days was only 34.5% of the maximum EYR value. The above results indicate that 19.0% maize silage added to the fodder with a 360-day raising period achieved the highest EYR value. This mainly depended on the considerable amount of maize silage with less UEV value counteracting the disadvantages of the slow growth rate. Meanwhile, a more extended raising period could enhance the performance of the EYR.
3.2.2. ELR Trend
ELR reflects the environmental pressure caused by a system. The linear fitting result (
R2) between each period and its maximum EYR value was 0.99. It has been recognized that the general trend of maximum EYR value increases with the breeding period increased. This means that a longer breeding period can bring higher EYR value. In this trial, 360 days is the upper limit of the ecological farming system. Therefore, the optimal breeding period is 360 days. The fitting curve of ELR is a quartic equation (
Figure 4). Overall, the ELR decreased with the increased raising period, and ELR yielded a “decrease-increase-decrease” trend with the increased percentage of maize silage. The ELR curve sunk in the range of 30–40% of maize silage added, but the gaps of ELR from 0% to 80% were heavily limited, i.e., the maximum values were only 3.2–9.2% higher than the minimum values. The extreme ELR values of different raising periods above 180 days were similar, with a change range of only 3.1–7.0%. The result indicates that a too-short raising period (<180 days) might cause high environmental pressure; pigs raised with 34.3% maize silage in 360 days would undergo the slightest environmental pressure.
3.2.3. ESI Trend
The fitting curves of ESI were similar to those of EYR (
Figure 5). The linear fitting result (
R2) between each period and its maximum ESI value was 0.87. It can be believed that the general trend of maximum ESI value increases with the breeding period increased. In this trial, 360 days is the upper limit of the ecological farming system. Therefore, the optimal breeding period is 360 days. These curves were cubic equations with maximum values in the range of 10–20% and minimum values in the range of 60–80%. The linear relationship between ESI and maize silage percentage decreased with the increased raising period. ESI performed best in the range of 10–30% maize silage added when the raising period was more than 180 days. The results above show that the advantages of added silage could not eliminate the disadvantages of the slow growth rate when 40–80% maize silage was added. The best ESI performance existed below the range of 20% maize silage added when the raising period was less than 180 days. This means that a too-short raising period was not suitable for developing EPRSs with maize silage added. Overall, the longer the feeding period, the better the ESI performed. In this section, the best point was 19.9% silage maize added with a 360-day raising period.
3.2.4. UEV Trend
The trend of UEV decreased with the increased maize silage percentage when the raising period was below 120 days (
Figure 6), but when the raising period was over 120 days, the trend first decreased and then increased. The linear fitting result (
R2) between each period and its maximum UEV value was 0.81. It shows that the general trend of maximum UEV value increases with the increase of the breeding period. In this trial, 360 days is the upper limit of the ecological farming system. Therefore, the optimal breeding period is 360 days. The linear relationship between UEV and maize silage percentage decreased with the increased raising period. Generally, UEV performed better in the range of 10–30% maize silage added than with other concentrations when the raising period was below 180 days. When the raising period (>180 days) increased, the advantages of the low UEV of maize silage were eliminated by the increased amount of feed consumed and facility wear. For ESI, the best point was 24.6% maize silage added in 360 days.
3.3. Economic Analysis
Economic profit increased with the changed raising period (
Table 6), but the increasing rate of profit dropped with an increased period. Meanwhile, feed adding more maize silage did not gain more economic profits for the same raising period (
Figure 7). The matched curves regarding the percentage of maize silage and profit were quartic equations with two extreme points. With the increased raising period, the maximum point changed from the second extreme point (60–80%) to the first extreme point (10–30%). The linear fitting result (
R2) between each period and its maximum economic profit value was 0.85. It has been recognized that the general trend of maximum economic profit value increases with the breeding period increased. This means that a longer breeding period can bring higher financial profit. In this trial, 360 days is the upper limit of the ecological farming system. Therefore, the optimal breeding period is 360 days. As
Figure 8 shows, the maximum profit was located on the 360-day curve whose maximum point was 24.20 ¥/kg (18.0%). The above result means that feed with about 18.0% maize silage added with a 360-day raising period could gain the most economic benefits. This point represents better pig live bodyweight performance and better cost control. Feed without any maize silage added showed inadequate cost control.
3.4. Balance Point of EPRSs
Under the emergy evaluation, the points with the best performance of EYR, ELR, UEV, and ESI were, respectively, at 19.0%, 34.3%, 24.6%, and 19.9% of maize silage added with 360 days; 18.0% maize silage added to the feed with 360 days obtained best economic profit. Based on the median principle, the median of these values would affect the entire performance least. At this point, the performance of EYR, ELR, UEV, ESI, and economic profit were only 0.04%, 3.0%, 0.8%, 0.0%, and 0.1% lower than their maximum values, respectively. Generally, 0% maize silage added feed was widely used in ecological pig raising systems to gain a faster growth rate. The performances of EYR, ELR, UEV, ESI, and economic profit from the balance point were 41.3%, 6.5%, 20.8%, 52.0%, and 17.2%, respectively, better than that of the 0% maize silage added raising system. These results show that the balance point could account for environmental pressure and economic profits. In the actual pig raising process, 19.9% sun-dried maize silage addition would be too accurate for the managers to prepare the feed. Therefore, the 20% sun-dried maize silage added to the feed is suitable.
5. Conclusions
With the development of green, ecological, and organic food, it is common to add plant fiber materials to the feed during the pig raising period. However, before our trials, the precision feed concentration that is good for economic profit and the environment was unclear. This study found that 19.9% maize silage added with a 360-day raising period was the best balance point between environmental impact and economic profit. At this point, the performance of EYR, ELR, UEV, ESI, and the economic profit were only 0.04%, 3.0%, 0.8%, 0.0%, and 0.1%, respectively, lower than their corresponding maximum values. However, the performances of the balance point were much better than with traditional ecological feeding (0% silage added). Additionally, such degree of integrated performance decline was acceptable. In the actual raising process, 20% sun-dried maize silage added is easy to implement, therefore we recommend the addition of 20% of sun-dried maize silage in ecological pig-raising system during the fattening period.