Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in th...Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many areas.In this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,China.The two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction results.In addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.展开更多
This study introduces a novel algorithm known as the dung beetle optimization algorithm based on bounded reflection optimization andmulti-strategy fusion(BFDBO),which is designed to tackle the complexities associated ...This study introduces a novel algorithm known as the dung beetle optimization algorithm based on bounded reflection optimization andmulti-strategy fusion(BFDBO),which is designed to tackle the complexities associated with multi-UAV collaborative trajectory planning in intricate battlefield environments.Initially,a collaborative planning cost function for the multi-UAV system is formulated,thereby converting the trajectory planning challenge into an optimization problem.Building on the foundational dung beetle optimization(DBO)algorithm,BFDBO incorporates three significant innovations:a boundary reflection mechanism,an adaptive mixed exploration strategy,and a dynamic multi-scale mutation strategy.These enhancements are intended to optimize the equilibrium between local exploration and global exploitation,facilitating the discovery of globally optimal trajectories thatminimize the cost function.Numerical simulations utilizing the CEC2022 benchmark function indicate that all three enhancements of BFDBOpositively influence its performance,resulting in accelerated convergence and improved optimization accuracy relative to leading optimization algorithms.In two battlefield scenarios of varying complexities,BFDBO achieved a minimum of a 39% reduction in total trajectory planning costs when compared to DBO and three other highperformance variants,while also demonstrating superior average runtime.This evidence underscores the effectiveness and applicability of BFDBO in practical,real-world contexts.展开更多
Mangrove forest is always considered an effective barrier to protect habitats from high waves,especially tsunami.Therefore,the estimation of wave energy dissipation is required for disater warning.The aim of this stud...Mangrove forest is always considered an effective barrier to protect habitats from high waves,especially tsunami.Therefore,the estimation of wave energy dissipation is required for disater warning.The aim of this study is to calculate wave attenuation in mangrove areas by combining field survey method and mathematical modeling method.The application area is Cu Lao Dung mangrove forest,Soc Trang,Vietnam.From data measurements of hydrodynamics and mangrove characteristics,the wave attenuation coefficient r,the drag coefficient Cd were determined in mud area,mud-mangrove area and mangrove area.In addition,using WAPROMAN model,the attenuation of wave height is simulated in different cases such as without mangrove,with mangrove,breaking wave effect and wave trunk interaction effect.Both the results from the measured method and the model method show the role of mangroves in reducing wave energy.The results from modeling are smaller than the calculated results.However,both methods tend to be suitable.Such difference required more considerations not only on calculation formulas but also on modeling adjustment.The research clearly demonstrated the effectiveness of mangroves in coastal protection,with wave-trunk interaction becoming the dominant factor in energy dissipation deeper into the forest.For future,extending the study to different mangrove forests and longer time scales could provide a more comprehensive understanding of the role of mangroves in coastal protection across various geographical and temporal contexts.展开更多
The dung beetle optimizer(DBO)is a metaheuristic algorithm with fast convergence and powerful search capabilities,which has shown excellent performance in solving various optimization problems.However,it suffers from ...The dung beetle optimizer(DBO)is a metaheuristic algorithm with fast convergence and powerful search capabilities,which has shown excellent performance in solving various optimization problems.However,it suffers from the problems of easily falling into local optimal solutions and poor convergence accuracy when dealing with large-scale complex optimization problems.Therefore,we propose an adaptive DBO(ADBO)based on an elastic annealing mechanism to address these issues.First,the convergence factor is adjusted in a nonlinear decreasing manner to balance the requirements of global exploration and local exploitation,thus improving the convergence speed and search quality.Second,a greedy difference optimization strategy is introduced to increase population diversity,improve the global search capability,and avoid premature convergence.Finally,the elastic annealing mechanism is used to perturb the randomly selected individuals,helping the algorithm escape local optima and thereby improve solution quality and algorithm stability.The experimental results on the CEC 2017 and CEC 2022 benchmark function sets and MCNC benchmark circuits verify the effectiveness,superiority,and universality of ADBO.展开更多
Any malfunctions of the actuators of the robots have the potential to destroy the robot’s normal motion,and most of the current actuator fault diagnosis methods are difficult to meet the requirements of simplifying t...Any malfunctions of the actuators of the robots have the potential to destroy the robot’s normal motion,and most of the current actuator fault diagnosis methods are difficult to meet the requirements of simplifying the actuator modeling and solving the difficulty of fault data collection.To solve the problem of real-time diagnosis of actuator faults in the 3-PR(P)S parallel robot,the model of 3-PR(P)S parallel robot and data-driven-based method for the fault diagnosis are presented.Firstly,only the input-output relationship of the actuator is considered for modeling actuator faults,reducing the complexity of fault modeling and reducing the time consumption of parameter identification,thereby meeting the requirements of real-time diagnosis.A Simulink model of the electromechanical actuator(EMA)was constructed to analyze actuator faults.Then the short-term analysis method was employed for collecting the sample data of the slider position on the test platform of the EMA system and feature extraction.Training samples for neural networks are obtained.Furthermore,we optimized the Back Propagation(BP)neural network using the Dung Beetle Optimization Algorithm(DBO),which effectively resolved the weights and thresholds of the BP neural network.Compared to BP and Particle Swarm Optimization(PSO)-BP,the DBO-BP has better convergence,convergence rate,and the best-classifying quality.So,the classification for the different actuator faults is obviously improved.Finally,a fault diagnosis system was designed for the actuator of the 3-PR(P)S parallel robot,and the experimental results demonstrate that this system can detect actuator faults within 0.1 seconds.This work also provides the technical support for the fault-tolerant control of the 3-PR(P)S Parallel robot.展开更多
[Objective] The aim was to study change of the composition of cow dung compost by adding complex enzyme.[Method] 2.0% enzyme treatment group,1.5% enzyme treatment group and control group were set to analyze temperatur...[Objective] The aim was to study change of the composition of cow dung compost by adding complex enzyme.[Method] 2.0% enzyme treatment group,1.5% enzyme treatment group and control group were set to analyze temperature,moisture,pH value,crude fiber,TOC,TN,GI during composting.[Result] The results showed that adding complex enzymes could accelerate degradation of organic matter in pre-composting period.Crude fiber of 2.0%,.1.5% enzyme treatment group and control group decreased 49.6%,47% and 29.1% respectively,TOC decreased 41.7%,35.3% and 21.1%,TN decreased 32.6%,26.8% and 19.2%.2.0%,1.5% enzyme treatment groups could reach basic maturity degree at 30 d.[Conclusion] Composting cycle be shortened by adding complex enzymes,which was useful for maturity of cow dung compost.展开更多
This study investigates the dung beetle fauna in northern Pakistan, including Khyber Pakhtunkhwa province, Gilgit-Baltistan（formerly known as the Northern Areas of Pakistan）, and Federally Administered Tribal Areas,...This study investigates the dung beetle fauna in northern Pakistan, including Khyber Pakhtunkhwa province, Gilgit-Baltistan（formerly known as the Northern Areas of Pakistan）, and Federally Administered Tribal Areas, based on collections and determined specimens. The area is diverse and contains a variety of flora and fauna pertaining to different habitats. We conducted surveys in the Alpine Zone, Montane Temperate Forest and Tropical Deciduous Forest. Three genera and five species, Digitonthophagus gazelle,Digitonthophagus bonasus, Heliocopris midas, Heliocopris bucephalus and Gymnopleurus flagellates were collected. Identification keys and distribution notes are provided. Heliocopris bucephalus was found to be a new country record to Pakistan.展开更多
AD （anaerobic digestion） is a beneficial and efficient technique for the treatment of agricultural wastes, food wastes and wastes water to produce renewable energy. Solid agricultural are potential renewable energy ...AD （anaerobic digestion） is a beneficial and efficient technique for the treatment of agricultural wastes, food wastes and wastes water to produce renewable energy. Solid agricultural are potential renewable energy resoures. Biogas production by co-digestion of mixed Napier Pak Chong I and food waste at thermophilic temperature using anaerobic digestion in cow dung and chicken dung as the seed inoculums were investigated. The total reactor volume of the co-digester reactor was 7.94 m^3, which was equipped with pump, and it was operated continuously for the 20 days as a pilot scale at 50 ℃. The Napier Pak Chong I was cut into 2 mm sections, and the initial VS （volatile solids） was 30%. The initial VS of food waste were 70%. Two pilot-scale digesters filled with Napier Pak Chong I and food waste, which both digesters contained 476 kg of Napier Pak Chong I mixed 305 L of food waste, and 1305 L of water. There were carried out to investigate the optimum C/N （carbon to nitrogen） ratio for effective biogas production. The slurry raw materials provided sufficient buffering capacity to maintain appropriate pH values （between 7.0 and 8.0）. Digester I was designed for 1.98 m^3 of cow dung as the seed inoculum while digester II was designed to establish 1.98 m^3 of chicken dung as the seed inoculum. Gas detector performs analysis gas production. The m^3/day in digester I and 1.86 m^3/day from digester II, resulting in added, respectively. Biogas production in digester I was directly experimental results indicate that total biogas production was 2.19 specific methane yields of 1.26 m^3 CH4/kgVS and 1.07 m^3 CH4/kgVS correlated with temperature.展开更多
A scanning electron microscope was used to observe the structures of the setae on the surface of a dung beetle Copris ochus, Motschulsky. There are lots of setae on the body surface, especially on the ventral part sur...A scanning electron microscope was used to observe the structures of the setae on the surface of a dung beetle Copris ochus, Motschulsky. There are lots of setae on the body surface, especially on the ventral part surface and lateral to the legs which are different in size, arrangement and shape. These setae have different lengths and many thorns on the whole seta. The top ends of these setae stand up without furcations which direct uprightly towards the surface of the touched soil. By the method of removing these setae, getting the insect weight before and after digging into the dung we affirm farther that the setae on the beetle body surface form the anti-stick and non-adherent gentle interface. The soil machines and components made by imitating the gentle body surface of beetles have favorable non-adherent results.展开更多
The cuticle of dung beetle is a layered composite material in micro- or nano-scale. Dung beetle can fly, walk and dig. It can shovel and compact dung of mammals into balls. It use foreleg to walk, midleg and hindleg ...The cuticle of dung beetle is a layered composite material in micro- or nano-scale. Dung beetle can fly, walk and dig. It can shovel and compact dung of mammals into balls. It use foreleg to walk, midleg and hindleg to hold and impel dung ball. Its two foreleges as digging legs are developed. The factors impacting the nanoindentation testing results of the femur cuticle of forelegs of dung beetle Copris ochus Motschulsky were examined. The nanomechanical test instrument used for the tests was Hysitron nanomechanical system. The results shown that the holding time and loading time are important factors im- pacting the accuracy of such indentation properties as reduced modulus (Er) and the harness ( H ) of the femur cuticle of the forelegs of dung beetle Copris ochus Motschulsky in nanoscale. There exists a threshold holding time of 20 s for the reduced modulus of the femur cuticle. The tests of nanoindentation creep property and the regression analysis of relationship between the depth increment at the maximum load and the time further confirmed the correction of the above threshold holding time. There exist visco-elastic-plastic behaviour and creep phenomenon in the femur cuticle during indenting. Its creep property during the holding procedure at maximum load can be regressed by a general logarithmic equation. The equation fitted by the testing data is ? h = 54.83452 ln(0.00723t +1.00486), where, ? h is the depth increment at the maximum load and t is the time.展开更多
Various kinds of pathogenic bacteria derived from the intestinal tract of animals exist in compost material like cow dung. In order to sterilize the pathogenic bacteria completely in compost material, the cow dung was...Various kinds of pathogenic bacteria derived from the intestinal tract of animals exist in compost material like cow dung. In order to sterilize the pathogenic bacteria completely in compost material, the cow dung was put into a heat treatment machine in pilot plan, and harmless condition in short time was examined. The results indicated, pathogenic indicator bacteria such as coliform bacteria, fecal coliform, Escherichia coli and salmonella were all 106 cfu/g dw at the beginning, died rapidly when cow dung temperature rose to above 50~C, and not detected at 54-68~C for 6-24 h heat treatment. Coliform bacteria and salmonella in heated cow dung were not detected by re-growth culture and enrichment culture examination. Moreover, it was hardly influenced on the fermentation ability of composting microbe, organic decomposition bacteria. During heat treatment, the mesophile decreased rapidly and the thermophile stabilized or increased, and the most of composting microbe were bacillus in cow dung by fluorescence microscope, this indicated that bacillus was dominator and composting microbe in composting process.展开更多
In order to clarify the interactive mechanism between grazing yak and alpine meadow on the Qinghai-Tibetan Plateau,our study assessed seed density（by species） in the topsoil of alpine meadow with different grazing i...In order to clarify the interactive mechanism between grazing yak and alpine meadow on the Qinghai-Tibetan Plateau,our study assessed seed density（by species） in the topsoil of alpine meadow with different grazing intensities in the Tianzhu area,north-eastern margins of the Qinghai-Tibetan Plateau and their rates of occurrence in yak dung.Seed density in the topsoil of the lightly grazed,moderately grazed,heavily grazed and extremely grazed alpine meadows in November,2010 were 1 551,1 692,2 660 and 1 830 grains m-2,while in the same meadows in April,2011 densities were 1 530,2 404,2 530 and 2 692 grains m-2,respectively.In the cold season pasture,mean seed density in yak dung from November to April in the lightly grazed,moderately grazed,heavily grazed and extremely grazed sites were 121,127,187,and 120 grains kg-1of dry yak dung.The proportion of total seed numbers in yak dung to soil seed bank in lightly grazed,moderately grazed,heavily grazed and extremely grazed alpine meadow was 1.40,2.62,0.69,and 0.90%.12 species out of the 47 were not found in topsoil but were found in yak dung,10 species out of 45 were not found in yak dung but were found in the topsoil.Endozoochorous dispersal by yaks is therefore very important for soil seed bank and plant biodiversity and population dynamics in alpine meadows.展开更多
Network traffic identification is critical for maintaining network security and further meeting various demands of network applications.However,network traffic data typically possesses high dimensionality and complexi...Network traffic identification is critical for maintaining network security and further meeting various demands of network applications.However,network traffic data typically possesses high dimensionality and complexity,leading to practical problems in traffic identification data analytics.Since the original Dung Beetle Optimizer(DBO)algorithm,Grey Wolf Optimization(GWO)algorithm,Whale Optimization Algorithm(WOA),and Particle Swarm Optimization(PSO)algorithm have the shortcomings of slow convergence and easily fall into the local optimal solution,an Improved Dung Beetle Optimizer(IDBO)algorithm is proposed for network traffic identification.Firstly,the Sobol sequence is utilized to initialize the dung beetle population,laying the foundation for finding the global optimal solution.Next,an integration of levy flight and golden sine strategy is suggested to give dung beetles a greater probability of exploring unvisited areas,escaping from the local optimal solution,and converging more effectively towards a global optimal solution.Finally,an adaptive weight factor is utilized to enhance the search capabilities of the original DBO algorithm and accelerate convergence.With the improvements above,the proposed IDBO algorithm is then applied to traffic identification data analytics and feature selection,as so to find the optimal subset for K-Nearest Neighbor(KNN)classification.The simulation experiments use the CICIDS2017 dataset to verify the effectiveness of the proposed IDBO algorithm and compare it with the original DBO,GWO,WOA,and PSO algorithms.The experimental results show that,compared with other algorithms,the accuracy and recall are improved by 1.53%and 0.88%in binary classification,and the Distributed Denial of Service(DDoS)class identification is the most effective in multi-classification,with an improvement of 5.80%and 0.33%for accuracy and recall,respectively.Therefore,the proposed IDBO algorithm is effective in increasing the efficiency of traffic identification and solving the problem of the original DBO algorithm that converges slowly and falls into the local optimal solution when dealing with high-dimensional data analytics and feature selection for network traffic identification.展开更多
Disposal of the pollutants arising from farming cattle and other livestock threatens the environment and public safety in diverse ways.Herein,we report on the synthesis of engineered biochars using cow dung as raw mat...Disposal of the pollutants arising from farming cattle and other livestock threatens the environment and public safety in diverse ways.Herein,we report on the synthesis of engineered biochars using cow dung as raw material,and investigating these biochars as antibacterial agents for water decontamination.By coating the biochars with N-halamine polymer and loading them with active chlorine (i.e.,Cl+),we were able to regulate them on demand by tuning the polymer coating and bleaching conditions.The obtained N-halamine-modified biochars were found to be extremely potent against Escherichia coli and Staphylococcus aureus.We also investigated the possibility of using these N-halamine-modified biochars for bacterial decontamination in real-world applications.Our findings indicated that a homemade filter column packed with N-halamine-modified biochars removed pathogenic bacteria from mining sewage,dairy sewage,domestic sewage,and artificial seawater.This proposed strategy could indicate a new way for utilizing livestock pollutants to create on-demand decontaminants.展开更多
This study examined the dissolved organic matter(DOM) components of cow dung using a combination of fluorescence(excitation–emission matrix,EEM)spectroscopy and parallel factor(PARAFAC) modelling along with eleven tr...This study examined the dissolved organic matter(DOM) components of cow dung using a combination of fluorescence(excitation–emission matrix,EEM)spectroscopy and parallel factor(PARAFAC) modelling along with eleven trace metals using ICP-MS and nutrients(NH_4^+ and NO_3^-) using an AA3 auto analyser. EEM–PARAFAC analysis demonstrated that cow dung predominantly contained only one fluorescent DOM component with two fluorescence peaks(Ex/Em=275/311 nm and Ex/Em=220/311 nm),which could be denoted as tyrosine by comparison with its standard. Occurrence of tyrosine can be further confirmed by the FTIR spectra. Trace metals analysis revealed that Na,K and Mg were significantly higher than Ca,Fe,Mn,Zn Sr,Cu,Ni and Co. The NH_4^+ concentrations were substantially higher than NO_3^-.These results thus indicate that the dissolved components of the cow dung could be useful for better understanding its future uses in various important purposes.展开更多
This paper aims to address the problem of multi-UAV cooperative search for multiple targets in a mountainous environment,considering the constraints of UAV dynamics and prior environmental information.Firstly,using th...This paper aims to address the problem of multi-UAV cooperative search for multiple targets in a mountainous environment,considering the constraints of UAV dynamics and prior environmental information.Firstly,using the target probability distribution map,two strategies of information fusion and information diffusion are employed to solve the problem of environmental information inconsistency caused by different UAVs searching different areas,thereby improving the coordination of UAV groups.Secondly,the task region is decomposed into several high-value sub-regions by using data clustering method.Based on this,a hierarchical search strategy is proposed,which allows precise or rough search in different probability areas by adjusting the altitude of the aircraft,thereby improving the search efficiency.Third,the Elite Dung Beetle Optimization Algorithm(EDBOA)is proposed based on bionics by accurately simulating the social behavior of dung beetles to plan paths that satisfy the UAV dynamics constraints and adapt to the mountainous terrain,where the mountain is considered as an obstacle to be avoided.Finally,the objective function for path optimization is formulated by considering factors such as coverage within the task region,smoothness of the search path,and path length.The effectiveness and superiority of the proposed schemes are verified by the simulation.展开更多
The effect of plant growth substance and fertilizer on root formation was studied in a newly planted apple tree (Malm pumila Mill / Malus hupenensis Rhed). The results indicated that urea and IBA ( indole butyric acid...The effect of plant growth substance and fertilizer on root formation was studied in a newly planted apple tree (Malm pumila Mill / Malus hupenensis Rhed). The results indicated that urea and IBA ( indole butyric acid) and sheep dung all increased the total number and activity of new roots and changed the ratio of absorbing root to extensive roots obviously. Urea increased the number of extensive root and decreased the ratio of the root to shoot mostly. IBA lengthened the extensive root and increased the ratio of root to shoot obviously. Sheep dung increased the nu mber of absorbing root and increased the ratio of absorbing root to extensive root, divided new root into many branches, increased the fresh weight of the root and thickened the extensive root. The fresh weight of root increased and the ratio of root to shoot declined after urea was added to sheep dung. Both the ratio of absorbing root to extensive root and root fresh weight was increased after IBA was added to sheep dung, then the ratio of root to shoot had no change obviously.展开更多
Dung deposition is an important pathway of nutrient return and redistribution in alpine grasslands of the Qinghai-Tibetan Plateau.To date,information on the greenhouse gas emissions of yak dung on alpine grasslands,es...Dung deposition is an important pathway of nutrient return and redistribution in alpine grasslands of the Qinghai-Tibetan Plateau.To date,information on the greenhouse gas emissions of yak dung on alpine grasslands,especially where there are large amounts of rock fragments,is limited.Our aim,therefore,was to evaluate variations in N_2O,CH_4,and CO_2 emissions from yak dung(CCD),and compare it to dung placed on rock fragments(RCD),alpine steppe soil(CSD),and a soil and rock fragment mixture(RSD) over a 30-day incubation period.The results showed that the total N_2O emissions from treatments without soil were significantly(P < 0.05) lower than those from treatments with soil.The highest total CH_4 emissions were detected in the CSD treatment,while CH_4 losses from treatments without rock fragments were significantly(P < 0.05) greater than those with rock fragments.The total CO_2 emissions from the RSD treatment was 6.30%–12.0% lower than those in the other three treatments.The soil beneath yak dung pats elevated the globalwarming potential(GWP),while the addition of rock fragments to the soil significantly(P < 0.05) decreased the GWP by reducing emissions of the three greenhouse gases.We therefore suggest that interactions between rock fragments and alpine steppe soil are effective in decreasing yak dung greenhouse gas emissions.This finding indicates that rock fragments are an effective medium for reducing greenhouse gas emissions from dung pats,and more attention should therefore be paid to evaluate its ecological impact in future studies.These results should help guide scientific assessments of regional GHG budgets in agricultural ecosystems where the addition of livestock manure to soils with large amounts of rock fragments is common.展开更多
The 30 pairs of feed and dung samples from the livestock and poultry farms with different scales were checked and analyzed. The results showed： a great linear relation existed between the feed factors and 7 pollutant...The 30 pairs of feed and dung samples from the livestock and poultry farms with different scales were checked and analyzed. The results showed： a great linear relation existed between the feed factors and 7 pollutants such as ammonia nitrogen, phosphorus, copper, iron, arsenic, mercury, cadmium in livestock and poultry＇s dung. The main affecting factors of feed were respectively nitrogen, phosphorus, copper, and arsenic, which were totally feed ingredient elements. And it indicated that the dung pollutants such as nitrogen, phosphorus, copper, iron, arsenic, mercury, and cadmium could be regulated by controlling the feed ingredients. But the dung nitrogen did not have a linear relation with the feed factors. Reducing the nitrogen in feed did not mean the relative decrease of the dung nitrogen content. Feed consumption rate of unit weight did not have notable performances, and it did not show curve model after curve fitting method. The pollutant index of ammonia nitrogen, phosphorus, copper, and arsenic of the group whose feed consumption rate of unit weight was less than 20 g/kg·d was extremely remarkably lower than those of the 20 -30 g/kg·d group. The pollutant index of mercury, chromium, and cadmium showed the opposite performance. With the increase of feed consumption rate, each pollutant did not act in an increasing trend, of which the pollutant index of ammonia nitrogen and the general phosphorus presented a quadratic model trend. The feed consumption level of unit weight had an extremely remarkable effect on the pollution level rate and the eady warning level rate, showing the thrice model trend, of which the 20 -30 g/kg. d group was the maximal, respectively for 16.67% and 50%, which was the same with the above-mentioned law.展开更多
The field experiment cultivating wheat during the winter season from November 2014 to March 2015 was conducted in the “North Eastern Barind Tract Soils” at Kushadaha, Nawabganj, Dinajpur in Bangladesh. The wheat var...The field experiment cultivating wheat during the winter season from November 2014 to March 2015 was conducted in the “North Eastern Barind Tract Soils” at Kushadaha, Nawabganj, Dinajpur in Bangladesh. The wheat variety BARI Gom 26 was selected in focusing to evaluate the effects of organic amendments using poultry manure (PM) and cow dung (CD) on the growth, yield and nutrient uptake by the plant. The texture of the field soil was clay with acidic nature (pH 5.61). The trials comprise three treatments following a randomized complete block design (RCBD) replicated thrice. Results showed that significantly greater plant height, number of tillers per hill and straw yield were 98.10 cm, 3.66 and 5425 kg/ha respectively in receiving the treatment T<sub>2</sub> than T<sub>3</sub> (95.66 cm, 3.38 and 4483 kg/ha) and T<sub>1</sub> (control). Spike length, 1000 grain weight and grain yield were 9.23 cm, 39.81 kg/ha and 3100 kg/ha respectively also higher in T<sub>2</sub> treatment than T<sub>3</sub> (8.76 cm, 38.51 kg/ha, 3091 kg/ha) with no statistical differences among them. Therefore, the treatment T<sub>2</sub> (PM) comprised of poultry manure and NPK exhibited as the best treatment for producing the highest in all growth and yield parameters of wheat. In wheat grain, the content of N, P, K, S, Mg, Zn and B ranged from 1.080% to 1.380% N, 0.390% to 0.398% P, 0.780% to 0.840% K, 0.079% to 0.111% S, 0.181% to 0.187% Mg, 25.56 to 29.77 ppm Zn and 10.12 to 12.54 ppm B. Similarly in straw, nutrients content ranged from 0.220 to 0.300% N, 0.045% to 0.074% P, 0.970% to 1.250% K, 0.152% to 0.191% S, 0.097% to 0.101% Mg, 10.78 to 13.23 ppm Zn and 27.98 to 2989 ppm B. Therefore, organic amendment with 5-ton cow dung (CD) ha<sup>-1</sup> with a recommended dose of NPK significantly increased the content of N, S, Mg, Zn and B in the grain and straw of wheat. Alternatively, the poultry manure treatment with NPK significantly increased the content of P and K in the grain and straw of wheat. However, results revealed that the treatments T<sub>2</sub> and T<sub>3</sub> comprising a recommended dose of NPK with poultry manure and cow dung respectively could increase the content of N, P, K, S, Mg, Zn and B in wheat. The overall results expressed that the poultry manure treatment with NPK (T<sub>2</sub>) exposed as superior for producing the top growth and yield attributes of wheat in the studied area.展开更多
基金supported by the National Natural Science Foundation of China [grant numbers 42088101 and 42375048]。
文摘Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many areas.In this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,China.The two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction results.In addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.
基金funded by the National Defense Science and Technology Innovation project,grant number ZZKY20223103the Basic Frontier InnovationProject at the Engineering University of PAP,grant number WJY202429+2 种基金the Basic Frontier lnnovation Project at the Engineering University of PAP,grant number WJY202408the Graduate Student Funding Priority Project,grant number JYWJ2024B006Key project of National Social Science Foundation,grant number 2023-SKJJ-A-116.
文摘This study introduces a novel algorithm known as the dung beetle optimization algorithm based on bounded reflection optimization andmulti-strategy fusion(BFDBO),which is designed to tackle the complexities associated with multi-UAV collaborative trajectory planning in intricate battlefield environments.Initially,a collaborative planning cost function for the multi-UAV system is formulated,thereby converting the trajectory planning challenge into an optimization problem.Building on the foundational dung beetle optimization(DBO)algorithm,BFDBO incorporates three significant innovations:a boundary reflection mechanism,an adaptive mixed exploration strategy,and a dynamic multi-scale mutation strategy.These enhancements are intended to optimize the equilibrium between local exploration and global exploitation,facilitating the discovery of globally optimal trajectories thatminimize the cost function.Numerical simulations utilizing the CEC2022 benchmark function indicate that all three enhancements of BFDBOpositively influence its performance,resulting in accelerated convergence and improved optimization accuracy relative to leading optimization algorithms.In two battlefield scenarios of varying complexities,BFDBO achieved a minimum of a 39% reduction in total trajectory planning costs when compared to DBO and three other highperformance variants,while also demonstrating superior average runtime.This evidence underscores the effectiveness and applicability of BFDBO in practical,real-world contexts.
基金funded by Vietnam National University Ho Chi Minh City(VNU-HCM)under grant number B2019-18-09.
文摘Mangrove forest is always considered an effective barrier to protect habitats from high waves,especially tsunami.Therefore,the estimation of wave energy dissipation is required for disater warning.The aim of this study is to calculate wave attenuation in mangrove areas by combining field survey method and mathematical modeling method.The application area is Cu Lao Dung mangrove forest,Soc Trang,Vietnam.From data measurements of hydrodynamics and mangrove characteristics,the wave attenuation coefficient r,the drag coefficient Cd were determined in mud area,mud-mangrove area and mangrove area.In addition,using WAPROMAN model,the attenuation of wave height is simulated in different cases such as without mangrove,with mangrove,breaking wave effect and wave trunk interaction effect.Both the results from the measured method and the model method show the role of mangroves in reducing wave energy.The results from modeling are smaller than the calculated results.However,both methods tend to be suitable.Such difference required more considerations not only on calculation formulas but also on modeling adjustment.The research clearly demonstrated the effectiveness of mangroves in coastal protection,with wave-trunk interaction becoming the dominant factor in energy dissipation deeper into the forest.For future,extending the study to different mangrove forests and longer time scales could provide a more comprehensive understanding of the role of mangroves in coastal protection across various geographical and temporal contexts.
基金Project supported by the National Natural Science Foundation of China(No.62102130)the Central Government Guides Local Science and Technology Development Fund Project of China(No.226Z0201G)+4 种基金the Natural Science Foundation of Hebei Province of China(Nos.F2020204003 and F2024204001)the Hebei Youth Talents Support Project of China(No.BJ2019008)the Science and Technology Research Projects of Higher Education Institutions in Hebei Province of China(No.QN2024138)the Basic Scientific Research Funds Research Project of Hebei Provincial Colleges and Universities of China(No.KY2022073)the Hebei Province Higher Education Institution Scientific Research Project of China(No.QN2025192)。
文摘The dung beetle optimizer(DBO)is a metaheuristic algorithm with fast convergence and powerful search capabilities,which has shown excellent performance in solving various optimization problems.However,it suffers from the problems of easily falling into local optimal solutions and poor convergence accuracy when dealing with large-scale complex optimization problems.Therefore,we propose an adaptive DBO(ADBO)based on an elastic annealing mechanism to address these issues.First,the convergence factor is adjusted in a nonlinear decreasing manner to balance the requirements of global exploration and local exploitation,thus improving the convergence speed and search quality.Second,a greedy difference optimization strategy is introduced to increase population diversity,improve the global search capability,and avoid premature convergence.Finally,the elastic annealing mechanism is used to perturb the randomly selected individuals,helping the algorithm escape local optima and thereby improve solution quality and algorithm stability.The experimental results on the CEC 2017 and CEC 2022 benchmark function sets and MCNC benchmark circuits verify the effectiveness,superiority,and universality of ADBO.
文摘Any malfunctions of the actuators of the robots have the potential to destroy the robot’s normal motion,and most of the current actuator fault diagnosis methods are difficult to meet the requirements of simplifying the actuator modeling and solving the difficulty of fault data collection.To solve the problem of real-time diagnosis of actuator faults in the 3-PR(P)S parallel robot,the model of 3-PR(P)S parallel robot and data-driven-based method for the fault diagnosis are presented.Firstly,only the input-output relationship of the actuator is considered for modeling actuator faults,reducing the complexity of fault modeling and reducing the time consumption of parameter identification,thereby meeting the requirements of real-time diagnosis.A Simulink model of the electromechanical actuator(EMA)was constructed to analyze actuator faults.Then the short-term analysis method was employed for collecting the sample data of the slider position on the test platform of the EMA system and feature extraction.Training samples for neural networks are obtained.Furthermore,we optimized the Back Propagation(BP)neural network using the Dung Beetle Optimization Algorithm(DBO),which effectively resolved the weights and thresholds of the BP neural network.Compared to BP and Particle Swarm Optimization(PSO)-BP,the DBO-BP has better convergence,convergence rate,and the best-classifying quality.So,the classification for the different actuator faults is obviously improved.Finally,a fault diagnosis system was designed for the actuator of the 3-PR(P)S parallel robot,and the experimental results demonstrate that this system can detect actuator faults within 0.1 seconds.This work also provides the technical support for the fault-tolerant control of the 3-PR(P)S Parallel robot.
基金Supported by National Science and Technology Support Program"Key Technology Integration Research and Demonstration in the High-efficiency Production Mode of Farmland Cycle "(2007BAD89B16)~~
文摘[Objective] The aim was to study change of the composition of cow dung compost by adding complex enzyme.[Method] 2.0% enzyme treatment group,1.5% enzyme treatment group and control group were set to analyze temperature,moisture,pH value,crude fiber,TOC,TN,GI during composting.[Result] The results showed that adding complex enzymes could accelerate degradation of organic matter in pre-composting period.Crude fiber of 2.0%,.1.5% enzyme treatment group and control group decreased 49.6%,47% and 29.1% respectively,TOC decreased 41.7%,35.3% and 21.1%,TN decreased 32.6%,26.8% and 19.2%.2.0%,1.5% enzyme treatment groups could reach basic maturity degree at 30 d.[Conclusion] Composting cycle be shortened by adding complex enzymes,which was useful for maturity of cow dung compost.
基金supported by the National Basic Research Program of China (973 Program) (2011CB302102)by a Humboldt Fellowship (M.B.) from the Alexander von Humboldt Foundation
文摘This study investigates the dung beetle fauna in northern Pakistan, including Khyber Pakhtunkhwa province, Gilgit-Baltistan（formerly known as the Northern Areas of Pakistan）, and Federally Administered Tribal Areas, based on collections and determined specimens. The area is diverse and contains a variety of flora and fauna pertaining to different habitats. We conducted surveys in the Alpine Zone, Montane Temperate Forest and Tropical Deciduous Forest. Three genera and five species, Digitonthophagus gazelle,Digitonthophagus bonasus, Heliocopris midas, Heliocopris bucephalus and Gymnopleurus flagellates were collected. Identification keys and distribution notes are provided. Heliocopris bucephalus was found to be a new country record to Pakistan.
文摘AD （anaerobic digestion） is a beneficial and efficient technique for the treatment of agricultural wastes, food wastes and wastes water to produce renewable energy. Solid agricultural are potential renewable energy resoures. Biogas production by co-digestion of mixed Napier Pak Chong I and food waste at thermophilic temperature using anaerobic digestion in cow dung and chicken dung as the seed inoculums were investigated. The total reactor volume of the co-digester reactor was 7.94 m^3, which was equipped with pump, and it was operated continuously for the 20 days as a pilot scale at 50 ℃. The Napier Pak Chong I was cut into 2 mm sections, and the initial VS （volatile solids） was 30%. The initial VS of food waste were 70%. Two pilot-scale digesters filled with Napier Pak Chong I and food waste, which both digesters contained 476 kg of Napier Pak Chong I mixed 305 L of food waste, and 1305 L of water. There were carried out to investigate the optimum C/N （carbon to nitrogen） ratio for effective biogas production. The slurry raw materials provided sufficient buffering capacity to maintain appropriate pH values （between 7.0 and 8.0）. Digester I was designed for 1.98 m^3 of cow dung as the seed inoculum while digester II was designed to establish 1.98 m^3 of chicken dung as the seed inoculum. Gas detector performs analysis gas production. The m^3/day in digester I and 1.86 m^3/day from digester II, resulting in added, respectively. Biogas production in digester I was directly experimental results indicate that total biogas production was 2.19 specific methane yields of 1.26 m^3 CH4/kgVS and 1.07 m^3 CH4/kgVS correlated with temperature.
文摘A scanning electron microscope was used to observe the structures of the setae on the surface of a dung beetle Copris ochus, Motschulsky. There are lots of setae on the body surface, especially on the ventral part surface and lateral to the legs which are different in size, arrangement and shape. These setae have different lengths and many thorns on the whole seta. The top ends of these setae stand up without furcations which direct uprightly towards the surface of the touched soil. By the method of removing these setae, getting the insect weight before and after digging into the dung we affirm farther that the setae on the beetle body surface form the anti-stick and non-adherent gentle interface. The soil machines and components made by imitating the gentle body surface of beetles have favorable non-adherent results.
文摘The cuticle of dung beetle is a layered composite material in micro- or nano-scale. Dung beetle can fly, walk and dig. It can shovel and compact dung of mammals into balls. It use foreleg to walk, midleg and hindleg to hold and impel dung ball. Its two foreleges as digging legs are developed. The factors impacting the nanoindentation testing results of the femur cuticle of forelegs of dung beetle Copris ochus Motschulsky were examined. The nanomechanical test instrument used for the tests was Hysitron nanomechanical system. The results shown that the holding time and loading time are important factors im- pacting the accuracy of such indentation properties as reduced modulus (Er) and the harness ( H ) of the femur cuticle of the forelegs of dung beetle Copris ochus Motschulsky in nanoscale. There exists a threshold holding time of 20 s for the reduced modulus of the femur cuticle. The tests of nanoindentation creep property and the regression analysis of relationship between the depth increment at the maximum load and the time further confirmed the correction of the above threshold holding time. There exist visco-elastic-plastic behaviour and creep phenomenon in the femur cuticle during indenting. Its creep property during the holding procedure at maximum load can be regressed by a general logarithmic equation. The equation fitted by the testing data is ? h = 54.83452 ln(0.00723t +1.00486), where, ? h is the depth increment at the maximum load and t is the time.
文摘Various kinds of pathogenic bacteria derived from the intestinal tract of animals exist in compost material like cow dung. In order to sterilize the pathogenic bacteria completely in compost material, the cow dung was put into a heat treatment machine in pilot plan, and harmless condition in short time was examined. The results indicated, pathogenic indicator bacteria such as coliform bacteria, fecal coliform, Escherichia coli and salmonella were all 106 cfu/g dw at the beginning, died rapidly when cow dung temperature rose to above 50~C, and not detected at 54-68~C for 6-24 h heat treatment. Coliform bacteria and salmonella in heated cow dung were not detected by re-growth culture and enrichment culture examination. Moreover, it was hardly influenced on the fermentation ability of composting microbe, organic decomposition bacteria. During heat treatment, the mesophile decreased rapidly and the thermophile stabilized or increased, and the most of composting microbe were bacillus in cow dung by fluorescence microscope, this indicated that bacillus was dominator and composting microbe in composting process.
基金supported by the National Natural Science Foundation of China(31001029)
文摘In order to clarify the interactive mechanism between grazing yak and alpine meadow on the Qinghai-Tibetan Plateau,our study assessed seed density（by species） in the topsoil of alpine meadow with different grazing intensities in the Tianzhu area,north-eastern margins of the Qinghai-Tibetan Plateau and their rates of occurrence in yak dung.Seed density in the topsoil of the lightly grazed,moderately grazed,heavily grazed and extremely grazed alpine meadows in November,2010 were 1 551,1 692,2 660 and 1 830 grains m-2,while in the same meadows in April,2011 densities were 1 530,2 404,2 530 and 2 692 grains m-2,respectively.In the cold season pasture,mean seed density in yak dung from November to April in the lightly grazed,moderately grazed,heavily grazed and extremely grazed sites were 121,127,187,and 120 grains kg-1of dry yak dung.The proportion of total seed numbers in yak dung to soil seed bank in lightly grazed,moderately grazed,heavily grazed and extremely grazed alpine meadow was 1.40,2.62,0.69,and 0.90%.12 species out of the 47 were not found in topsoil but were found in yak dung,10 species out of 45 were not found in yak dung but were found in the topsoil.Endozoochorous dispersal by yaks is therefore very important for soil seed bank and plant biodiversity and population dynamics in alpine meadows.
基金supported by the National Natural Science Foundation of China under Grant 61602162the Hubei Provincial Science and Technology Plan Project under Grant 2023BCB041.
文摘Network traffic identification is critical for maintaining network security and further meeting various demands of network applications.However,network traffic data typically possesses high dimensionality and complexity,leading to practical problems in traffic identification data analytics.Since the original Dung Beetle Optimizer(DBO)algorithm,Grey Wolf Optimization(GWO)algorithm,Whale Optimization Algorithm(WOA),and Particle Swarm Optimization(PSO)algorithm have the shortcomings of slow convergence and easily fall into the local optimal solution,an Improved Dung Beetle Optimizer(IDBO)algorithm is proposed for network traffic identification.Firstly,the Sobol sequence is utilized to initialize the dung beetle population,laying the foundation for finding the global optimal solution.Next,an integration of levy flight and golden sine strategy is suggested to give dung beetles a greater probability of exploring unvisited areas,escaping from the local optimal solution,and converging more effectively towards a global optimal solution.Finally,an adaptive weight factor is utilized to enhance the search capabilities of the original DBO algorithm and accelerate convergence.With the improvements above,the proposed IDBO algorithm is then applied to traffic identification data analytics and feature selection,as so to find the optimal subset for K-Nearest Neighbor(KNN)classification.The simulation experiments use the CICIDS2017 dataset to verify the effectiveness of the proposed IDBO algorithm and compare it with the original DBO,GWO,WOA,and PSO algorithms.The experimental results show that,compared with other algorithms,the accuracy and recall are improved by 1.53%and 0.88%in binary classification,and the Distributed Denial of Service(DDoS)class identification is the most effective in multi-classification,with an improvement of 5.80%and 0.33%for accuracy and recall,respectively.Therefore,the proposed IDBO algorithm is effective in increasing the efficiency of traffic identification and solving the problem of the original DBO algorithm that converges slowly and falls into the local optimal solution when dealing with high-dimensional data analytics and feature selection for network traffic identification.
基金supported by the National Natural Science Foundation of China(No.51663019)the Natural Science Foundation of the Inner Mongolia Autonomous Region(No.2019JQ03)the Program for National Undergraduate Innovation and Entrepreneurship Training(Nos.201911709005 and 201911709006).
文摘Disposal of the pollutants arising from farming cattle and other livestock threatens the environment and public safety in diverse ways.Herein,we report on the synthesis of engineered biochars using cow dung as raw material,and investigating these biochars as antibacterial agents for water decontamination.By coating the biochars with N-halamine polymer and loading them with active chlorine (i.e.,Cl+),we were able to regulate them on demand by tuning the polymer coating and bleaching conditions.The obtained N-halamine-modified biochars were found to be extremely potent against Escherichia coli and Staphylococcus aureus.We also investigated the possibility of using these N-halamine-modified biochars for bacterial decontamination in real-world applications.Our findings indicated that a homemade filter column packed with N-halamine-modified biochars removed pathogenic bacteria from mining sewage,dairy sewage,domestic sewage,and artificial seawater.This proposed strategy could indicate a new way for utilizing livestock pollutants to create on-demand decontaminants.
基金financially supported by the Key Construction Program of the National 985 Project,Tianjin University,Chinathe National Key R and D Program of China (2016YFA0601000)
文摘This study examined the dissolved organic matter(DOM) components of cow dung using a combination of fluorescence(excitation–emission matrix,EEM)spectroscopy and parallel factor(PARAFAC) modelling along with eleven trace metals using ICP-MS and nutrients(NH_4^+ and NO_3^-) using an AA3 auto analyser. EEM–PARAFAC analysis demonstrated that cow dung predominantly contained only one fluorescent DOM component with two fluorescence peaks(Ex/Em=275/311 nm and Ex/Em=220/311 nm),which could be denoted as tyrosine by comparison with its standard. Occurrence of tyrosine can be further confirmed by the FTIR spectra. Trace metals analysis revealed that Na,K and Mg were significantly higher than Ca,Fe,Mn,Zn Sr,Cu,Ni and Co. The NH_4^+ concentrations were substantially higher than NO_3^-.These results thus indicate that the dissolved components of the cow dung could be useful for better understanding its future uses in various important purposes.
基金supported by the Natural Science Foundation of China(62273068)the Fundamental Research Funds for the Central Universities(3132023512)Dalian Science and Technology Innovation Fund(2019J12GX040).
文摘This paper aims to address the problem of multi-UAV cooperative search for multiple targets in a mountainous environment,considering the constraints of UAV dynamics and prior environmental information.Firstly,using the target probability distribution map,two strategies of information fusion and information diffusion are employed to solve the problem of environmental information inconsistency caused by different UAVs searching different areas,thereby improving the coordination of UAV groups.Secondly,the task region is decomposed into several high-value sub-regions by using data clustering method.Based on this,a hierarchical search strategy is proposed,which allows precise or rough search in different probability areas by adjusting the altitude of the aircraft,thereby improving the search efficiency.Third,the Elite Dung Beetle Optimization Algorithm(EDBOA)is proposed based on bionics by accurately simulating the social behavior of dung beetles to plan paths that satisfy the UAV dynamics constraints and adapt to the mountainous terrain,where the mountain is considered as an obstacle to be avoided.Finally,the objective function for path optimization is formulated by considering factors such as coverage within the task region,smoothness of the search path,and path length.The effectiveness and superiority of the proposed schemes are verified by the simulation.
基金supported by the National Natura Science Foundation of China(No.39600102,30170655).
文摘The effect of plant growth substance and fertilizer on root formation was studied in a newly planted apple tree (Malm pumila Mill / Malus hupenensis Rhed). The results indicated that urea and IBA ( indole butyric acid) and sheep dung all increased the total number and activity of new roots and changed the ratio of absorbing root to extensive roots obviously. Urea increased the number of extensive root and decreased the ratio of the root to shoot mostly. IBA lengthened the extensive root and increased the ratio of root to shoot obviously. Sheep dung increased the nu mber of absorbing root and increased the ratio of absorbing root to extensive root, divided new root into many branches, increased the fresh weight of the root and thickened the extensive root. The fresh weight of root increased and the ratio of root to shoot declined after urea was added to sheep dung. Both the ratio of absorbing root to extensive root and root fresh weight was increased after IBA was added to sheep dung, then the ratio of root to shoot had no change obviously.
基金supported by grants from the“Strategic Priority Research Program”of the Chinese Academy of Sciences(Grant No.XDB03030505)the National Natural Science Foundation of China(Grant No.41573070)the Open Fund of the State Key Laboratory of Soiland Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences(Grant No.Y412201403)
文摘Dung deposition is an important pathway of nutrient return and redistribution in alpine grasslands of the Qinghai-Tibetan Plateau.To date,information on the greenhouse gas emissions of yak dung on alpine grasslands,especially where there are large amounts of rock fragments,is limited.Our aim,therefore,was to evaluate variations in N_2O,CH_4,and CO_2 emissions from yak dung(CCD),and compare it to dung placed on rock fragments(RCD),alpine steppe soil(CSD),and a soil and rock fragment mixture(RSD) over a 30-day incubation period.The results showed that the total N_2O emissions from treatments without soil were significantly(P < 0.05) lower than those from treatments with soil.The highest total CH_4 emissions were detected in the CSD treatment,while CH_4 losses from treatments without rock fragments were significantly(P < 0.05) greater than those with rock fragments.The total CO_2 emissions from the RSD treatment was 6.30%–12.0% lower than those in the other three treatments.The soil beneath yak dung pats elevated the globalwarming potential(GWP),while the addition of rock fragments to the soil significantly(P < 0.05) decreased the GWP by reducing emissions of the three greenhouse gases.We therefore suggest that interactions between rock fragments and alpine steppe soil are effective in decreasing yak dung greenhouse gas emissions.This finding indicates that rock fragments are an effective medium for reducing greenhouse gas emissions from dung pats,and more attention should therefore be paid to evaluate its ecological impact in future studies.These results should help guide scientific assessments of regional GHG budgets in agricultural ecosystems where the addition of livestock manure to soils with large amounts of rock fragments is common.
基金supported by the Scientific Project of Jiangsu Province(DS2007027)
文摘The 30 pairs of feed and dung samples from the livestock and poultry farms with different scales were checked and analyzed. The results showed： a great linear relation existed between the feed factors and 7 pollutants such as ammonia nitrogen, phosphorus, copper, iron, arsenic, mercury, cadmium in livestock and poultry＇s dung. The main affecting factors of feed were respectively nitrogen, phosphorus, copper, and arsenic, which were totally feed ingredient elements. And it indicated that the dung pollutants such as nitrogen, phosphorus, copper, iron, arsenic, mercury, and cadmium could be regulated by controlling the feed ingredients. But the dung nitrogen did not have a linear relation with the feed factors. Reducing the nitrogen in feed did not mean the relative decrease of the dung nitrogen content. Feed consumption rate of unit weight did not have notable performances, and it did not show curve model after curve fitting method. The pollutant index of ammonia nitrogen, phosphorus, copper, and arsenic of the group whose feed consumption rate of unit weight was less than 20 g/kg·d was extremely remarkably lower than those of the 20 -30 g/kg·d group. The pollutant index of mercury, chromium, and cadmium showed the opposite performance. With the increase of feed consumption rate, each pollutant did not act in an increasing trend, of which the pollutant index of ammonia nitrogen and the general phosphorus presented a quadratic model trend. The feed consumption level of unit weight had an extremely remarkable effect on the pollution level rate and the eady warning level rate, showing the thrice model trend, of which the 20 -30 g/kg. d group was the maximal, respectively for 16.67% and 50%, which was the same with the above-mentioned law.
文摘The field experiment cultivating wheat during the winter season from November 2014 to March 2015 was conducted in the “North Eastern Barind Tract Soils” at Kushadaha, Nawabganj, Dinajpur in Bangladesh. The wheat variety BARI Gom 26 was selected in focusing to evaluate the effects of organic amendments using poultry manure (PM) and cow dung (CD) on the growth, yield and nutrient uptake by the plant. The texture of the field soil was clay with acidic nature (pH 5.61). The trials comprise three treatments following a randomized complete block design (RCBD) replicated thrice. Results showed that significantly greater plant height, number of tillers per hill and straw yield were 98.10 cm, 3.66 and 5425 kg/ha respectively in receiving the treatment T<sub>2</sub> than T<sub>3</sub> (95.66 cm, 3.38 and 4483 kg/ha) and T<sub>1</sub> (control). Spike length, 1000 grain weight and grain yield were 9.23 cm, 39.81 kg/ha and 3100 kg/ha respectively also higher in T<sub>2</sub> treatment than T<sub>3</sub> (8.76 cm, 38.51 kg/ha, 3091 kg/ha) with no statistical differences among them. Therefore, the treatment T<sub>2</sub> (PM) comprised of poultry manure and NPK exhibited as the best treatment for producing the highest in all growth and yield parameters of wheat. In wheat grain, the content of N, P, K, S, Mg, Zn and B ranged from 1.080% to 1.380% N, 0.390% to 0.398% P, 0.780% to 0.840% K, 0.079% to 0.111% S, 0.181% to 0.187% Mg, 25.56 to 29.77 ppm Zn and 10.12 to 12.54 ppm B. Similarly in straw, nutrients content ranged from 0.220 to 0.300% N, 0.045% to 0.074% P, 0.970% to 1.250% K, 0.152% to 0.191% S, 0.097% to 0.101% Mg, 10.78 to 13.23 ppm Zn and 27.98 to 2989 ppm B. Therefore, organic amendment with 5-ton cow dung (CD) ha<sup>-1</sup> with a recommended dose of NPK significantly increased the content of N, S, Mg, Zn and B in the grain and straw of wheat. Alternatively, the poultry manure treatment with NPK significantly increased the content of P and K in the grain and straw of wheat. However, results revealed that the treatments T<sub>2</sub> and T<sub>3</sub> comprising a recommended dose of NPK with poultry manure and cow dung respectively could increase the content of N, P, K, S, Mg, Zn and B in wheat. The overall results expressed that the poultry manure treatment with NPK (T<sub>2</sub>) exposed as superior for producing the top growth and yield attributes of wheat in the studied area.
