CN110646568A - A screening method for feed palatability based on animal group behavior - Google Patents

Abstract

The invention discloses a feed palatability screening method based on animal group behavior, comprising the following steps: 1) setting of experimental animal breeding circle; 2) feed selection; 3) data processing. The method of the invention is that the animal chooses the feed by itself, which has higher accuracy and is more in line with the real situation. The method of the invention obtains the animal group's preference for the feed by processing the frequency of the animal group's self-movement near the feed, so that the final obtained result is more accurate. The method of the invention can be applied to the screening of feed preferences of various animals, and can provide better feed production and feed selection schemes for feed manufacturers and animal breeders.

Description

A screening method for feed palatability based on animal group behavior

technical field

The invention belongs to the technical field of feed screening, in particular to a method for screening feed palatability based on animal group behavior.

Background technique

The flavor of feed mainly includes two aspects: taste and aroma. There is a close relationship between feed flavor and its palatability, which directly affects the feed intake and production performance of fed animals. The food preferences of the animals fed to them are inseparable from the flavor of the feed. Generally speaking, animals mainly use smell and taste to identify the nature of food, and then regulate appetite and control food intake. For example, pigs have very sensitive senses of smell and taste, and it is usually difficult to change the feed after identifying a certain flavor of feed. Because the olfactory research of animals is a complex process, it is generally difficult to directly obtain the olfactory expression information of fed animals.

At present, it is mainly based on food flavor research technology, such as electronic nose, SPME-GC-MS, GC-O and electronic tongue, HPLC and other technologies to detect and analyze the smell and taste of feed, so as to indirectly confirm the quality of feed flavor. Based on the self-developed electronic nose system, Wang Tenghao and others conducted flavor detection and analysis on 8 kinds of pig feed samples from the same feed factory. By processing the detection information of flavor volatiles, the intelligent analysis of the feed flavor was realized. The results are helpful for enterprises. According to the analysis results of the feed flavor, combined with the pig's preference for the feed flavor, the feed products were improved. (Wang Tenghao, Chen Danni, Hui Guohua. Flavor analysis of pig feed based on electronic nose system [J]. Chinese Journal of Animal Husbandry, 48(10):63-66.). Although electronic nose technology can be used for intelligent analysis of feed flavor, the cost of the instrument is high, the detection information needs to be deeply analyzed, and the feed preference of a certain type of animal cannot be identified and differentiated.

In addition, CN107741477A announced a device and method for detecting VOC odor intensity level and odor concentration level. By selecting animals instead of olfactory discriminators as the subject of VOC odor evaluation, the behavioral signals generated by animals under VOC odor stimulation are used as the detection basis and judgment. Standard, by establishing a mathematical model between odor intensity or odor concentration and animal behavior signals, to achieve the detection of VOC odor intensity level and odor concentration level. Although this method can realize the judgment of the concentration level of the odor to be measured, it is mainly used for the detection of unpleasant odors such as irritants relative to animals, and requires complex model operation analysis of animal movement behavior, let alone many Different feed flavors can be visualized and quickly identified.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a feed palatability screening method based on animal group behavior. In this method, the selection of feed is completely based on the choice of the animal group, and the screened feed is easier to meet the taste of animals and has higher accuracy.

The method for screening feed palatability based on animal group behavior of the present invention comprises the following steps:

1) Setting of animal breeding circles for experiments: Set up animal breeding circles according to the types of experimental feeds and the size of animals to ensure that at the beginning of the experiment, the distance between animals and each feed is basically equal; ensure that the distance between the feed and the feed is sufficient to ensure that it is possible to determine which feeding zone an animal is feeding or stopping, eliminating the effect of distance space on feeding or stopping between different animals;

2) Feed selection: fix the locator on the animals, feed the animals with some food before the test, and then let the animals enter in order from the entrance of the feeding circle to conduct the feed selection experiment; after the experiment is over, obtain all the The location point cloud map of the animal;

3) Data processing: Merge the position point cloud maps of all animals, then demarcate the feed selection area, obtain the position point cloud map of the feed area, judge the density of the position points in the feed area or calculate the number of position points in the feed area, and get the animal the most palatable type of feed.

In the described step 1), in the animal breeding circle, according to the number of types of the experimental feed to be screened and the animal body shape parameters, take the center point of the entrance as the origin, draw an arc; then according to the type of the feed, select the feed on the arc. Placement point, the straight-line distance between feed and feed should be greater than 10 times the average body length of the animal, and the distance between the feed points at both ends and the boundary of the breeding circle should be greater than 5 times the average body length of the animal.

In the described step 2), the locator should be uniformly fixed on the same part of the animal body, preferably the neck or the forelimb; the locator is a miniature locator, and the miniature locator also includes a single-chip microcomputer for use with it. The micro locator is connected through a wireless network; the micro locator collects position information every 10-30s.

In the step 2), animals are fed half of the usual normal feeding amount before the experiment; the experiment time is 1-1.5 hours; the number of individuals in the animal group is 15-50.

In the described step 3), the following steps are specifically included:

3.1 Merge all the obtained animal position point cloud images to obtain all position point cloud images of the animal group;

3.2 In step 3.1, the point cloud diagram of the position of the animal group circles the area with a distance from the feed ≤ 5 times the average animal body length. If there is a feed area with a location density that is significantly better than other areas, the feed is the most palatable feed;

If the difference in density of points in multiple feed areas is not obvious, the number of points in each feed area is calculated, and the most suitable feed is judged in the following two situations:

①If the number of location points in a certain feed area is more than 2% of the total number of location points in any other feed area, the feed is the most palatable feed;

②If the number of location points in certain areas is equal, then these feeds are the most palatable feed; or if the number of location points in some areas is similar, the difference between these areas is calculated. If the difference is within 2% of the total number of location points, these areas are also recorded as the most palatable feed, if not, they are not counted.

The beneficial effects of the present invention are as follows: 1) The method of the present invention is that the animal chooses the feed by itself, which is more accurate and more consistent with the real situation. 2) The method of the present invention obtains the animal group's preference for the feed by processing the frequency of the animal group's self-movement near the feed, so that the final result is more accurate. 3) The method of the present invention can be applied to the screening of feed preferences of various animals, and can provide better feed production and feed selection schemes for feed manufacturers and animal breeders.

Description of drawings

The layout diagram of the piglet breeding pen in Fig. 1 embodiment 1;

A point cloud diagram of a certain suckling pig position in Fig. 2 embodiment 1;

The position point cloud map of suckling pig herd in Fig. 3 embodiment 1;

The layout diagram of Fig. 4 embodiment 2 teal breeding circle;

The position point cloud map of a certain teal in the embodiment 2 of Fig. 5;

FIG. 6 is a point cloud map of the location of the teal flock in implementation 2.

Detailed ways

Example 1

The animals were ternary hybrid suckling pigs with an average length of 0.5m, an average weight of 10kg, and a group size of 20.

Feed A formula: corn 58%, wheat bran 2%, whey powder 5%, soybean meal 22%, fish meal (imported) 7%, vegetable oil 2%, premix 4%;

Feed B formula: corn 60%, wheat bran 4%, whey powder 3.5%, soybean meal 22%, fish meal (imported) 6%, vegetable oil 0.5%, premix 4%;

Feed C formula: corn 57.5%, soybean meal 25%, fish meal (imported) 5%; yeast powder 2.7%, salt 0.5%, whey powder 3%, organic acid 1.5%, oil 2%, calcium hydrogen phosphate 0.5%, stone powder 0.5%, premix 2%.

1) Setting of the animal breeding circle for the experiment: In the animal breeding circle, take the center of the entrance as the center, draw an arc with a radius r of 8m and a central angle of 120°. The midpoint of the arc is taken as the first feed position point, and then the arc positions corresponding to the left and right deviations of the first feed point by 60° from the central angle are taken as the second and third feed points. The straight-line distance x between adjacent feed points is 8m, the distances d ₁ and d ₃ from the feed points to the fence are 5.0m, and d ₂ is 6.0m. The specific arrangement is shown in Figure 1.

2) Animal selection experiment: 20 suckling pigs were fed half of the usual normal feeding amount, and a micro-positioner (the model of the positioner: security E-star EV11S positioner) was tied to the forelimb of each pig, and the micro-position was set with a single-chip microcomputer. The first pig enters from the entrance, and the start time is recorded, and the experiment is started. During the experiment, it is necessary to ensure that the feed is sufficient. After the experiment is completed for 1 hour, the experiment is completed, and every single pig is extracted from the microcontroller. The position point cloud map of the piglet, and the movement point map of a piglet are shown in Figure 2.

3) Data processing:

3.1 Merge the location point cloud images of 20 pigs, and the result is shown in Figure 3.

3.2 Circle the area 2.5m away from the feed, as shown in Figure 3.

3.3 It can be clearly seen from Figure 3 that the density of feed A area is significantly higher than that of feed area B and C. Due to the obvious difference, it can be concluded that feed A is the most palatable feed without calculating the number of position points. .

Example 2

The animal is Yuanjiang teal, with an average length of about 0.3m, an average weight of 1.1kg, and a group size of 30.

Feed A: Duck compound feed from Yangpu Feed Co., Ltd.;

Feed B: Duck compound feed from Anhui Zhengdayuan Feed Group Co., Ltd.;

Feed C is Jindelong duck feed from Jindelong Trading Co., Ltd.;

Feed D Duck feed from Yangxin County Nature Green Animal Husbandry Co., Ltd.

1) Setting of the animal breeding circle for the experiment: In the animal breeding circle, take the center of the entrance as the center, draw an arc with a radius r of 5m and a central angle of 180°. Take the center line of the arc deviating 30° to the left as the first feed point, 90° to the left as the second feed point, and 30° to the right as the third feed point. A deviation of 90° to the right is the fourth feed point, as shown in Figure 4. The x-spacing of adjacent feed points is 5m, and the margins d ₁ , d ₂ , d ₃ and d ₄ of the feed from the fence boundary are 4 m; d ₅ and d ₆ are 4.5 m,

2) Animal selection experiment: 30 teal ducks were fed half of the normal feeding amount, and a miniature locator (locator model: security E-star EV11S locator) was tied to the duck feet of each duck, and a microcomputer was used to set the miniature locator. The positioner collects position points every 20s; enter the first teal from the entrance, record the start time, and start the experiment. During the experiment, it is necessary to ensure that the feed is sufficient. The position point cloud map of each teal is extracted, and the motion point map of a teal is shown in Figure 5.

3) Data processing:

3.1 Merge the position point cloud images of 30 teal ducks, and the result is shown in Figure 6.

3.2 Circle the area 1.5m away from the feed, as shown in Figure 6,

3.3 It can be clearly seen from Figure 6 that the area density of feeds A and C is relatively large, but the difference in the density of the two locations is not obvious. It can be concluded by calculation that the total number of location points is: 8143 points, of which the area of feed A is The number of points in the feed C area is 2491, and the number of position points in the feed C area is 2604, a difference of 113 quantity points, less than 163 points, so both feeds A and C are recorded as the most palatable feeds.

Claims (6)

1. A method for screening feed palatability based on animal group behavior, comprising the following steps: 1) Setting of animal breeding circles for experiments: Set up animal breeding circles according to the types of experimental feeds and the size of animals to ensure that at the beginning of the experiment, the distance between animals and each feed is basically equal; ensure that the distance between the feed and the feed is sufficient to ensure that it is possible to determine which feeding zone an animal is feeding or stopping, eliminating the effect of distance space on feeding or stopping between different animals; 2) Feed selection: fix the locator on the animals, feed the animals with some food before the test, and then let the animals enter in order from the entrance of the feeding circle to conduct the feed selection experiment; after the experiment is over, obtain all the The location point cloud map of the animal; 3) Data processing: Merge the position point cloud maps of all animals, then demarcate the feed selection area, obtain the position point cloud map of the feed area, judge the density of the position points in the feed area or calculate the number of position points in the feed area, and get the animal the most palatable type of feed. 2. the feed palatability screening method based on animal group behavior according to claim 1, is characterized in that, in described step 1), in animal rearing circle, according to the kind number of experimental feed to be screened, animal body shape parameter, with The center point of the entrance is the origin, and an arc is drawn; then, according to the type of feed, select the feed placement point on the arc, and the straight-line distance between the feed and the feed should be 10 times greater than the average body length of the animal. The distance between the boundaries of the circle should be greater than 5 times the average body length of the animal. 3. the feed palatability screening method based on animal group behavior according to claim 1, is characterized in that, in the described step 2), the locator should be uniformly fixed on the same part on the animal body, and the locator is a miniature locator The micro-positioner also includes a single-chip microcomputer that is used together with it. The single-chip micro-positioner and the micro-positioner are connected through a wireless network; the micro-positioner collects position information every 10-30s. 4 . The method for screening feed palatability based on animal group behavior according to claim 3 , wherein the positioner is fixed on the neck or forelimb of the animal. 5 . 5. the feed palatability screening method based on animal group behavior according to claim 1 and 3, is characterized in that, in described step 2), before animal experiment, first feed half of the usual normal feeding amount; The experiment time is 1～ 1.5h; the number of individuals in the fauna is 15 to 50. 6. the feed palatability screening method based on animal group behavior according to claim 1, is characterized in that, in described step 3), specifically comprises the following steps: 3.1 Merge all the obtained animal position point cloud images to obtain all position point cloud images of the animal group; 3.2 In step 3.1, the point cloud diagram of the position of the animal group circles the area with a distance from the feed ≤ 5 times the average animal body length. If there is a feed area with a location density that is significantly better than other areas, the feed is the most palatable feed; If the difference in density of points in multiple feed areas is not obvious, the number of points in each feed area is calculated, and the most suitable feed is judged in the following two situations: ①If the number of location points in a certain feed area is more than 2% of the total number of location points in any other feed area, the feed is the most palatable feed; ②If the number of points in certain areas is equal, then these kinds of feeds are the most palatable feeds; or If the number of location points in certain areas is similar, the difference between these areas is calculated. If the difference with the area with the largest number of points is within 2% of the total number of location points, these areas are also recorded as the most palatable feed. , if not, do not count.

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