6459 results about "Fodder" patented technology

The invention relates to the technical field of artificial intelligence, and discloses an intelligent rationing system for pig house feed supply, which comprises the following steps: performing identity recognition on pigs in a feeding area through radio frequency identification tags, and extracting weight, growth cycle and behavior characteristics; based on historical ingestion records, health data and environmental factors, a dynamic nutritional requirement model of the pigs is constructed, and the current feed requirement is predicted in combination with a multi-factor regression algorithm; according to the feed demand result, the feeding amount and the feeding frequency of the corresponding trough are adjusted in real time; dynamically adjusting the power of a conveying motor and the pressure difference of a pipeline section by utilizing a variable-frequency driving control technology; and collecting the ingestion response and the feeding execution state of the pigs, and outputting an updated pig allocation result in combination with online feedback and historical data differences. The feeding device has the advantage that the feeding stability is improved.

The invention provides a feed fermentation parameter intelligent correction method based on the Internet of Things, and the method comprises the steps: carrying out the full-dimensional data collection from a microenvironment in a feed fermentation tank to a cross-regional macroenvironment, and generating a standardized data matrix; detecting communication time delay fluctuation characteristics based on the standardized data matrix, determining a fluctuation period and an amplitude range of a time delay abnormal point, and forming a time delay fluctuation characteristic spectrum; analyzing the influence of a raw material nutrition structure and logistics transportation time efficiency on the purity and concentration uniformity of metabolites through a regional differentiation regulation and control plan, and outputting associated feature distribution of quality control imbalance between regions; and updating an operation instruction of the feed fermentation equipment in real time according to the association feature distribution of the quality control imbalance between the regions, and obtaining equipment state operation feedback data after the operation instruction is updated.

The invention relates to the technical field of microorganisms, in particular to application of streptococcus non-lactolyticus GX-7 and a complex microbial inoculant thereof in sugarcane leaf silage, the strain GX-7 is separated from healthy pig manure by a research group, and through detection, the strain has good cholate resistance and is suitable for surviving in intestinal tracts, and the strain GX-7 has good cholate resistance and is suitable for being used as a feed additive. The antibacterial effect on pseudomonas fluorescens, listeria monocytogenes, salmonella choleraesuis and shigella flexneri is achieved; the strain has a good fermentation capability on sugarcane leaves, and the sugarcane leaves are inoculated with a complex microbial inoculant prepared from streptococcus non-lactolyticus GX-7 and streptococcus non-lactolyticus GX-2, so that a synergistic fermentation effect can be achieved; after the silage prepared from the complex microbial inoculant is fed to female buffalo in the gestation period, it is found that the silage can effectively increase the content of milk protein, milk total solids and milk non-fat solids in colostrum of the female buffalo and relieve diarrhea of the female buffalo, and the silage is safe and good.

The invention provides a feed mixing process uniformity dynamic evaluation and parameter adjustment method, and relates to the technical field of data processing, and the method comprises the steps: building a material characteristic matrix according to raw material characteristic data; correspondingly storing the material characteristic matrix and initial operation parameters of the mixing equipment to generate first mixing control data; in the mixing process, collecting local vibration amplitudes and temperature rise rates at different spatial positions, and combining the local vibration amplitudes and the temperature rise rates with the first mixing control data; calculating the vibration amplitude distribution difference in adjacent sampling periods in the feed mixing treatment process to obtain a spatial fluctuation index; when the spatial fluctuation index is continuously reduced and the temperature rise rate is periodically and suddenly increased, generating local accumulation indication data, and triggering short-time acceleration and inversion operation; executing feed mixing treatment, and generating a mixing termination signal when the spatial fluctuation index change rate of three continuous sampling periods is lower than a preset fluctuation threshold value; according to the invention, autonomy and accuracy of feed mixing uniformity adjustment are improved.

The invention discloses a ruminant feed capable of replacing soybean meal as well as a preparation method and application of the ruminant feed. The ruminant animal feed is prepared from the following raw material matrixes in parts by weight through compound probiotic fermentation: 45-55 parts of corn sugar residues, 15-25 parts of corn steep liquor, 10-20 parts of corn germ meal, 3-8 parts of extruded soybeans, 3-8 parts of corn protein powder, 2-4 parts of urea and 0.5-1.5 parts of lysine. The compound probiotics are prepared from saccharomyces cerevisiae, lactobacillus plantarum and bacillus subtilis. The invention further discloses a preparation method of the ruminant feed and application of the ruminant feed in completely replacing soybean meal in daily ration of ruminants. The ruminant feed disclosed by the invention can completely replace soybean meal in daily ration of ruminants, and even if the ruminants are in a fattening period, the soybean meal does not need to be additionally added to maintain protein supply, so that the feed cost is effectively reduced, and multiple targets of saving cost, improving efficiency and protecting environment are achieved.

The invention discloses a livestock feed proportioning method based on livestock growth, and relates to the technical field of feed proportioning, and the livestock feed proportioning method comprises the following steps: collecting the body temperature and motion track data and environmental temperature and humidity data of livestock individuals, monitoring the concentration of amino acids in digestive tracts, preprocessing the collected data, and generating a standardized biological data set; analyzing the compensation amount of vitamins and trace elements according to the metabolic fingerprint spectrum, and constructing a multi-objective optimization function in combination with an individual growth curve; solving the multi-objective optimization function through a quantum annealing algorithm, and matching local raw material inventory data of block chain evidence storage to generate an optimization strategy; and executing the optimization strategy and detecting the mixing uniformity, and when the mixing uniformity index exceeds a preset mixing uniformity threshold, starting the compensation device to adjust the optimization strategy. According to the invention, through a cooperation mechanism of dynamic nutritional requirement identification and multi-constraint optimization, the precise regulation and control capability of livestock breeding is significantly improved.

The invention belongs to the technical field of aquaculture, and provides a feed feeding efficiency assessment method and system, and the method specifically comprises the steps: firstly, arranging a monitoring node camera in a farm, reading real-time monitoring data at a monitoring node to calculate a feeding fluctuation value, then calculating a feeding abnormal factor according to the feeding fluctuation value, and recognizing a feeding risk state; and finally, evaluating the feed feeding efficiency through the feeding risk state. The feeding abnormity is that the feeding fluctuation value of each sampling point of each monitoring node in a monitoring period is calculated, the fish feeding enthusiasm microscopic decline performance observed by each monitoring node in a long-period feeding strategy is captured, and the identified feeding risk state can more sensitively prevent the excessive feeding amount of feed; the risks of feed waste and water quality deterioration are avoided, and the feed utilization efficiency and the breeding quality under the long-period feeding strategy are improved.

The invention discloses a feed proportion abnormity identification method and system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance time sequence expression of a frequency, form and amplitude triple feature structure, and carrying out the recognition of the vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark expression library; constructing an aligned trajectory expression set by analyzing the frequency domain structure and the time slice expression of each channel signal in the current batch of disturbance data and combining the binding relationship between the batch number and the formula number; by constructing an offset matching and track consistency judgment mechanism based on multi-source disturbance track expression, structured recognition and path logic verification of a formula drift phenomenon are realized, and the problem that the actual feed nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.

The invention provides a method and system for predicting the utilization rate of feed amino acid in multiple stages of laying hens, and relates to the field of bioinformatics, and the method comprises the following steps: obtaining chemical component measured values of feed raw material samples in different growth stages of the laying hens and in-vivo measured values of standard ileum amino acid digestibility; performing predictive factor screening according to the chemical component measured value and the standard ileum amino acid digestibility in-vivo measured value to obtain a predictive factor combination; constructing a prediction model according to the prediction factor combination to obtain a candidate prediction equation; optimizing according to the candidate prediction equation, and screening to obtain an optimized equation; performing model verification according to the optimization equation to obtain a target prediction model; and performing digestibility prediction according to the target prediction model to obtain a predicted standard ileum amino acid digestibility value. According to the method, the standard ileum amino acid digestibility is accurately predicted based on in-vitro detection data, and the limitation of a traditional in-vivo determination method is effectively overcome.

The invention relates to the technical field of feed quality control, in particular to an intelligent feed processing quality control method and system. According to the method, the operation parameters and the environment temperature and humidity of the production equipment are acquired in real time, and the environment and equipment state parameter set is established, so that the influence factors of the production conditions are quantified, and an accurate basis is provided for parameter adjustment of the subsequent processing flow. In the production process, the adaptive processing flow threshold value is calculated based on the operation stability of equipment and the change trend of raw material components, and unstable product quality caused by raw material fluctuation or equipment state change is avoided. And whether key indexes in the production process are in an adaptive range or not is dynamically judged by combining the change conditions of the steam absorption rate and the granulation pressure, so that the processing flow control is finer. For trend deviation possibly occurring in the production process, the stability of the production process is analyzed by analyzing the equipment load level, the energy consumption change synchronism and the abnormal trend of processing flow parameters.

The invention discloses a feed additive ratio control method and system based on environmental perception. The method comprises the steps that breeding environment, feed characteristics, equipment operation and animal physiological parameters are collected, and a high-quality parameter set is generated after preprocessing; calculating an environment stress index based on a multi-factor data fusion algorithm and analyzing a change trend; combining historical and current data, using time sequence prediction and a machine learning algorithm to predict additive requirements and generating an optimal proportioning strategy; a control instruction is generated according to the strategy, and the additive conveying and spraying process is regulated and controlled; and a matching strategy and control parameters are corrected in real time through closed-loop feedback, so that accurate regulation and control are realized. The device can dynamically adapt to environmental changes, reduce animal stress, and improve mixing uniformity and nutrition retention effect.

Provided herein, inter alia, are ruminant feed or feed additive compositions, and methods of using these feed or feed additive compositions to reduce methane emissions in ruminants while improving animal performance, these feed or feed additive compositions comprise one or more compounds that increase hydrogen production in ruminants, such as, but not limited to, 3-nitroxypropanol (3NOP) and one or more acetogens.

The invention relates to an agricultural robot, and discloses an animal husbandry pushing robot autonomous navigation method based on a laser radar, which comprises a microsecond-level multi-sensor time synchronization architecture based on an FPGA (Field Programmable Gate Array); in a navigation layer, seamless switching between the GNSS and the laser SLAM is realized by constructing a virtual fusion observation value by utilizing extended Kalman filtering and a self-adaptive dynamic weight algorithm; in the sensing layer, an RGB-I multi-mode model fused with laser reflectivity and a biological micro-motion detection technology are adopted, and feed and biological obstacles are accurately distinguished; and in the execution layer, flexible self-adaptive material pushing is achieved in combination with material groove edge fitting and force-position hybrid control, and the navigation precision, the operation quality and the safety of the material pushing robot in the all-weather and unstructured pasture environment are effectively improved.

The invention belongs to the technical field of bioinformatics, particularly relates to a computer simulation and regulation method and system for beef cattle fat metabolism, and aims to solve the problems of excessive fat deposition, low feed conversion efficiency, difficulty in multi-objective optimization and the like in existing beef cattle breeding. A multi-scale biological network model is constructed, a computer simulation and prediction engine is developed, an intelligent intervention strategy optimization engine is designed, and implementation and feedback optimization are carried out. By reducing unnecessary fat deposition, improving the feed conversion efficiency and improving the beef quality, the economic benefit of beef cattle breeding is remarkably improved, the requirements of consumers for high-quality and safe beef products are met, and the method has important value for promoting intelligent upgrading and sustainable development of the beef cattle industry.

The invention relates to the field of intelligent breeding, aims to solve the problems that traditional cattle breeding is inaccurate in monitoring and early warning, extensive in feeding control and insufficient in environment control linkage, and provides a fine management method and system. The method comprises the steps of system initialization and individual binding, multi-dimensional data acquisition, physiological state accurate early warning, dynamic adaptive feeding, environment linkage regulation and control and data statistics optimization. The system correspondingly comprises an individual identification and data acquisition module, an improved physiological state monitoring and early warning module, a dynamic adaptive feeding control module, an environment regulation and control module, a data storage and analysis module and a system operation and maintenance module. Multi-dimensional data are collected through the intelligent neck ring, an individual adaptation algorithm is adopted for early warning of the health state, an exclusive feeding scheme is generated, and the breeding environment is regulated and controlled in a linkage mode. The method and the system improve the health rate and the breeding efficiency of cattle herds, reduce feed waste, and are suitable for large-scale cattle breeding fine management scenes.

The invention relates to the technical field of agricultural science, and discloses a low-purine ecological pig circulating breeding system which comprises a breeding environment regulation and control module, a low-purine feed management module, an excrement treatment module, a recycling module, a health monitoring module, an intelligent decision-making module, a traceability management module, a water quality purification module and an energy recovery module. The breeding environment regulation and control module monitors in real time and automatically regulates pig house environment parameters through a distributed sensor network; the low-purine feed management module generates a low-purine feed formula based on growth stage recognition and nutritional requirement analysis; the excrement treatment module is used for converting breeding wastes into organic fertilizer raw materials; the cyclic utilization module realizes precise returning of the organic fertilizer to the field according to planting requirements; the health monitoring module evaluates the purine level of the swinery; the intelligent decision-making module integrates the multi-source data to generate a comprehensive optimization scheme; and the traceability management module records whole-process data through a block chain technology. The stability of low-purine culture is guaranteed, and the success rate of low-purine culture is increased.

The invention relates to the technical field of intelligent control, in particular to a breeding feed mixing control method and mixing equipment, and solves the technical problem of poor mixing quality caused by physical property difference of raw materials in the prior art. The method comprises the following steps: monitoring component composition and particle physical form of a mixed material in a mixing process and stirring parameters of mixing equipment; the mixing process comprises the following steps: stirring the dry materials in the mixing equipment, and adding liquid by spraying; the components are obtained through near infrared spectroscopic analysis; the physical form of the particulate matter is obtained through image analysis; analyzing the influence of the stirring parameters on the mixing quality based on the component composition, and determining a correction coefficient of the operation parameters of the mixing equipment in combination with the physical form of the particles; and regulating and controlling the current operation parameter of the mixing equipment according to the correction coefficient, so that the mixing equipment operates according to the regulated and controlled target operation parameter.

The invention discloses a compound feed for raising plateau live pigs and a preparation method thereof, and relates to the technical field of feed processing. The compound feed for raising the plateau live pigs is prepared from manganese-selenium compound modified charcoal, soybean polysaccharide polylysine-based supported nanoparticles, aspergillus oryzae, soybean meal powder, corn flour, wheat bran, mountain flour, calcium hydrophosphate, table salt and multivitamins. Manganese-selenium composite modified charcoal, soybean polysaccharide polylysine-based supported nanoparticles and aspergillus oryzae are subjected to co-fermentation culture to form a uniform, stable, loose and porous three-dimensional network fermentation substrate composite system, so that the damage of gastric acid to components is reduced, the targeted release of intestinal tracts is realized, and the bioavailability is improved. The composite functional additive which is high in nutrition, easy to absorb, anti-oxidation, anti-anemia, anti-ultraviolet radiation and the like is obtained, and the adverse effects of low temperature, oxygen deficit and ultraviolet factors on animal growth and feed oxidative rancidity are effectively reduced.

The invention discloses a cattle feed additive. The cattle feed additive consists of the following raw materials in parts by weight: 4-16 parts of perilla frutescens, 2-20 parts of cyrtomium rhizomes, 10-30 parts of cod-liver oil, 2-10 parts of sodium selenite, 3-13 parts of Haixiao, 5-25 parts of radix polygalae, 2-12 parts of longan aril, 4-20 parts of Chinese yam rhizomes, 5-25 parts of vietnamese sophora roots, 3-17 parts of folium isatidis, 2-12 parts of endothelium corneum gigeriae galli, 4-16 parts of actinolitum brevifibrum, 2-12 parts of herba asari, 4-12 parts of origanum vulgare, 3-13 parts of Chinese pulsatilla roots, 4-16 parts of fleeceflower roots, 2-18 parts of radix achyranthis bidentatae, 1-9 parts of a bacillus natto agent, 2-10 parts of bacillus and 1-7 parts of active dry yeast. The cattle feed additive disclosed by the invention has the advantages of being rich in nutrition, capable of improving beef quality, increasing the survival rate of cattle and the like.

Certain exemplary embodiments can provide systems and / or methods for producing dried biomass materials, such as from bales of biomass. Biomass materials can be converted into, e.g., pellets, briquettes, cubes, and / or other products with dried and / or densified states. These dried, densified products can be used for, e.g., bioenergy and / or animal feed applications.

The invention discloses a method for evaluating piglet feed digestibility based on excrement indexes, and particularly relates to the field of piglet feed digestibility evaluation.The method comprises the steps that a piglet excrement sample under target feed intervention is obtained, and multiple biochemical index data in a preset time sequence are collected for the excrement sample; the biochemical index data comprises moisture content, ammonia nitrogen concentration and short-chain fatty acid concentration, and a corresponding excrement index original data sequence is formed according to the biochemical index data. Continuous aggregation of discontinuous sampling data is realized by constructing a sample index structure, and in combination with frequency domain feature extraction, interpolation reconstruction and a collaborative tensor modeling mechanism, an absorptivity inversion path having a robust adaptability to missing and asynchronous data is established. The key problems that in the prior art, a current evaluation method seriously depends on data integrity, and discontinuous information in a real sampling environment cannot be processed are solved.

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

The invention relates to the technical field of feed efficiency optimization, in particular to a feed efficiency optimization system based on a growth model, and the system comprises a data collection unit which is used for collecting and associating individual identities, individual weight data, time-phased feed intake data, environment data and environment forecast data; the model calibration unit is used for calibrating individual energy conversion efficiency parameters, generating an environment dynamic correction factor by using the environment data and generating a group classification label based on historical individual performance data; and the decision and execution unit operates a double-cycle cooperation mechanism based on pre-judgment and execution. By dynamically calibrating the individual energy conversion efficiency and combining with the environment forecast, real-time calculation and differentiated feeding regulation and control of the individual energy demand can be realized.

The invention relates to application of a molecular marker related to daily gain of pigs at the stage of 30kg-120kg. The invention discloses a method for identifying the daily gain of pigs at the stage of 30 kg to 120 kg and a breeding method for breeding the pigs with the daily gain at the stage of 30 kg to 120 kg. According to the method, by detecting the genotype of a to-be-detected pig at the 161610871th site of a chromosome 1 in a pig reference genome Susscrofa.Sscrofa11.1, the daily gain of the pig at the stage of 30 kg to 120 kg is identified, the pig with the TT genotype is higher than the pig with the CT genotype, and the pig with the CT genotype is higher than the pig with the CC genotype. In actual breeding work, a to-be-detected pig with the genotype of the C161610871T site being TT can be selected as a parent for breeding, and the method has important significance on selection of pigs with high feed intake and high feed utilization efficiency.

The embodiment of the invention discloses a feeding method and device capable of accurately regulating and controlling the feed intake of sows. The method comprises the following steps: identifying an individual identity through an electronic ear tag, and collecting backfat thickness, body condition score and weight data by using an inspection robot; dynamically calling a standard feeding curve based on the fetus number and the body condition score, and finely adjusting the target feed intake in combination with the body weight change trend; a quantitative or interactive feeding mode is adopted in the gestation period, feeding is carried out with different meals of wet mixed feed in the lactation period, and the feed-water ratio is dynamically adjusted; meanwhile, a data closed loop is constructed, a feeding strategy is optimized through big data analysis, and abnormal individuals are visualized. According to the scheme, precise self-adaptive regulation and control of the feeding behavior of the sow in the whole breeding cycle are achieved, and the feed efficiency and the breeding performance are remarkably improved.

The invention discloses an application of a BnaMYB7 gene or an encoded protein thereof in regulating and controlling the oil content of rape, and belongs to the fields of genetic engineering and crop genetic breeding. The nucleotide sequence of the BnaMYB7 gene is shown as SEQ ID NO: 1 or SEQ ID NO: 2, an agrobacterium-mediated genetic transformation method is used, an overexpression vector of the BnaMYB7 gene and a CRISPR / Cas9 gene editing vector are respectively transformed into a genome of the rape, the rape germplasm with overexpression and function deletion of the BnaMYB7 gene is obtained, and the rape germplasm with overexpression and function deletion of the BnaMYB7 gene is determined by measuring the oil content of seeds of overexpression and mutant materials. It is found that the BnaMYB7 gene positively regulates the oil content of the rape, so that rape varieties with different oil contents can be obtained by using the gene to perform molecular breeding on the rape. The feed additive is of great significance in relieving grain and oil tension and guaranteeing feed safety.

The invention discloses a feed mixing preparation device based on a dairy cow feeding system, and relates to the technical field of mixing, and the feed mixing preparation device comprises a mixing device. According to the feed mixing preparation device based on the dairy cow feeding system, through the design of the mixing device, feed enters the mixing shell from a feeding pipe, a first motor controls a center rotating shaft to rotate, the center rotating shaft drives blades to rotate, one side of each blade is of a beveling structure, and the feed is crushed in the rotating process; and secondly, a second motor controls a scraping mechanism to rotate, so that the stirring effect of materials at the bottom of the equipment is improved, excessive precipitation of the materials at the bottom of the equipment is avoided, and the mixing efficiency and the mixing effect of the materials at the bottom of the equipment are improved. The feed mixing effect is prevented from being influenced, so that the feed mixing efficiency is improved, and the bottom feed is pushed to move towards the discharge valve through the rotating mechanism, so that feed retention is reduced, and the discharge speed is increased.

The invention provides an intelligent cattle farm feeding management system, which belongs to the technical field of intelligent agriculture and animal husbandry, and comprises a data acquisition module, a data processing module, a control module, a user interface module, a communication module and a storage module. The system obtains cattle farm environment and cattle physiological behavior data in real time through a multi-source sensor and image acquisition equipment, intelligent analysis and decision generation are carried out through algorithms such as machine learning, reinforcement learning and fuzzy logic, and automatic management of functions such as feed feeding, environment regulation and control and health early warning is achieved. The system has the characteristics of comprehensive perception, intelligent decision making and accurate execution, the cattle farm feeding efficiency can be effectively improved, cattle health is guaranteed, and the operation cost is reduced.

The present disclosure relates to compositions and methods comprising a yeast cell wall extract and a clay material admixed to a proteinaceous and / or cell wall extract(s) from bacterial or fungal fermentation from amino acid production. In another embodiment, the present compositions comprise a yeast cell wall extract, a clay material, and an algal material admixed to a proteinaceous and / or cell wall extract(s) from bacterial or fungal fermentation from amino acid production. This disclosure also relates to methods of utilizing the same to sequester and / or adsorb mycotoxins internal or external to an animal, thereby reducing and / or preventing the toxic and harmful effects of mycotoxin contamination and / or infection in animals. Specifically, application of the present methods and compositions are found in the dietary administration and / or co-administration of the present compositions to animals in animal feed and / or animal production systems, as well as in therapeutic, prophylactic, and research applications.

Disclosed are novel pharmaceutical, animal feed compositions and methods of treating non-human animals comprising at least one component selected from the extract(s), fraction(s), active compound(s) and phytochemical(s), or mixtures thereof, derived from non-woody plants of the genus Hesperaloe. Animal feed compositions may comprise a basal animal feed and water soluble solids extracted from Hesperaloe and comprising at least one saponin. The water soluble solids may comprise from about 5 to about 30 wt % saponin. The compositions of the present invention can be used for the treatment of non-human animals, such as poultry and more particularly for preventing and treating coccidiosis. An embodiment provides an immunological composition useful for inducing the production of antibodies to an antigen in a non-human animal comprising an antigen, preferably a coccidia, and a saponin composition extracted from Hesperaloe. The saponins extracted from Hesperaloe biomass may comprise 25(27)-dehydrofucreastatin, 5(6),25(27)-disdehydroyuccaloiside C, 5(6)-disdehydroyuccaloiside C, furcreastatin and yuccaloiside C.