Disclosure of Invention
The invention aims to solve the technical problem of providing a method for breeding mule ducks with high laying rate based on data analysis, which can assist in breeding in a relatively objective mode, is suitable for large-scale mule duck breeding and breeding, has a reasonable selection and panning mode, and is beneficial to improving the laying level.
In order to solve the technical problems, the method for breeding the muscovy ducks with high laying rate based on data analysis comprises the following steps:
Firstly, initialization:
1.1, establishing a fence database
The fence database includes at least the following fields: column number, zone location, investigation time period, duck egg number, egg laying coefficient and fence level; the column number is used for uniquely identifying a fence; the number of the breeding duck eggs is used for recording the number of the breeding duck eggs collected in the column in the corresponding investigation time period; the egg laying coefficient is a quantitative index and is used for carrying out quantitative analysis according to the comparison condition of the number of the duck eggs planted in each fence and the average value in the current investigation time period, and the egg laying coefficient = the number of the duck eggs planted in the current fence/the average value of the number of the duck eggs planted in all the fences; the fence level is a qualitative index used for qualitatively determining the current fence according to the egg laying coefficient;
the fence level is set from five-star level to one-star level according to the egg laying level from high to low, and the fence is correspondingly labeled with the red star; 4 days per study period;
1.2, establishing a Muscovy duck database
The Muscovy duck database at least comprises the following fields: muscovy duck ID, Muscovy duck incubation year and month, paternal description, maternal description, individual feature description, investigation time period, column number and individual judgment index;
The Muscovy duck ID is used for uniquely identifying Muscovy duck individuals, and the investigation time period is matched with the column number and is used for recording the specific fence where the Muscovy duck individuals are located in the current time period; the individual judgment index is set as a quantitative index, when the Muscovy duck individual is adjusted from a high-level fence to a low-level fence, the individual judgment index is reduced, otherwise, the individual judgment index is improved;
1.3, establishing a duck egg database
The duck egg database at least comprises the following fields: d, duck egg breeding, collecting time period, collecting column number and genetic relationship judgment;
The duck egg ID is used for identifying the collected duck egg, the collection time period corresponds to the investigation time period, and the genetic relationship judgment is used for judging the genetic relationship range of the duck egg according to the fence database and the Muscovy duck database;
1.4, establishing egg frame database
the egg frame database includes at least the following fields: egg frame ID, duck egg ID;
The egg frame ID is used for uniquely identifying the egg frame, and the egg frame ID is identified on the egg frame in a computer readable mode; the duck egg ID is associated with the duck egg database and used for recording the duck egg planting information contained in the current egg frame.
Feeding in two or more columns
2.1, feeding Muscovy ducks in a house in different columns by using a fence, and feeding a plurality of male Muscovy ducks and female Muscovy ducks in each column according to the ratio of 2: 5; all male muscovy ducks and female muscovy ducks are provided with foot rings with unique identification functions; respectively recording the current fence condition and Muscovy duck information into the fence database and the Muscovy duck breeding database;
at the beginning of the laying period, as initial values: the number of the duck eggs planted in all the pens is 0, the egg laying coefficient is 0, and all the pen grades are set to be the lowest grade;
2.2, picking up eggs every day, marking the picked duck egg seeds, recording related data into a duck egg seed database, and updating the accumulated value of the number of the duck egg seeds corresponding to the column number in the current investigation time period;
2.3, examination and evaluation
accumulating the number of the duck eggs planted in a single fence when the current investigation time period expires, calculating the average value of the number of the duck eggs planted in all the fences, calculating the egg laying coefficient according to the comparison condition of the current fence and the average value, adjusting the fence level according to the classification rule, and recording the fence level in a fence database;
2.4, ladder-like tuning fence
For the pens with the egg laying coefficient lower than the set threshold, selecting the pens with the grade lower than that of the current pens, and performing gradient adjustment between the pens to realize optimal combination;
the specific method comprises the following steps: judging the egg laying level of the Muscovy duck individuals in the current fence and the selected low-level fence by egg touching operation, and according to the fence level, turning the Muscovy ducks with high egg laying rate to the upper fence and turning the Muscovy ducks with low egg laying rate to the lower fence, and correspondingly recording in a database after fence turning is finished;
In the step, the single individual adjustment quantity is determined according to the comparison condition of the egg laying coefficient and the set threshold value, and the egg laying coefficient is inversely proportional to the individual adjustment quantity;
The egg touching means that the egg bag at the abdomen of the Muscovy duck is touched manually to judge whether an egg-shaped object exists; the egg-moulding operation was carried out after 5 pm.
Third, data analysis
the module obtains various valuable information through big data analysis according to the computer readable database obtained in the first step and the second step, thereby providing beneficial reference for subsequent breeding; the data analysis comprises:
3.1 fence analysis
counting the egg laying coefficients of all pens in a specified time period, and marking and analyzing pens higher than the average, wherein the analysis comprises the following steps: analyzing the conditions of corresponding areas, such as illumination, drinking water, ventilation and the like; summarizing and analyzing the common conditions of a plurality of high-level pens;
3.2 egg-laying cycle analysis
Analyzing the number of duck eggs for a plurality of designated fences according to the natural time sequence of the investigation time period, and drawing a line drawing to reflect the egg laying periodic variation of the Muscovy duck group;
3.3 Individual tracking
And drawing individual judgment index change curve graphs of a plurality of designated Muscovy ducks in a designated time period according to the Muscovy duck database data.
The second step further comprises:
2.5 adjustment of genetic trait diversity
Adjusting male Muscovy ducks among different fences according to a specified time period, and correspondingly recording in a database after fence adjustment is finished, so as to obtain different genetic character combinations;
in the step, only one male Muscovy duck is adjusted for each fence at a time;
In this step, the male Muscovy ducks are only adjusted among a plurality of fences with the same fence level index.
The second step further comprises:
2.6 Manual intervention column
For specific individuals in the high-level fence, performing unique identification according to the Muscovy duck ID corresponding to the foot ring, performing egg-touching operation for multiple days continuously to judge the egg laying level of the Muscovy ducks, moving the Muscovy ducks with low egg laying level out of the high-yield fence, correspondingly supplementing the high-yield ducks from the low-level fence, and correspondingly recording in a database after fence adjustment is completed.
The third step further comprises:
3.4 analysis of Individual population influence
according to the database data, for the designated Muscovy duck individual, the individual judgment index change condition of the Muscovy duck related to the Muscovy duck in time and space is called so as to reflect the group influence condition of the examined individual.
The third step further comprises:
3.5, inquiry of genetic relationship between duck eggs
determining an egg frame where the duck egg is planted according to the field condition, determining the ID, the acquisition time period and the acquisition column number of the duck egg according to the label on the egg frame, and tracing the genetic relationship range of the duck egg according to the database.
the third step further comprises:
3.6 Muscovy Duck continuous upgrade prompt
in the fence adjusting process, the Muscovy duck individuals are adjusted from the low-level fence to the high-level fence to be defined as upgrading, according to the record of a database, the Muscovy duck individuals continuously subjected to upgrading are prompted to managers through a data system, and the prompting content comprises Muscovy duck ID and the detailed upgrading process;
3.7 Muscovy Duck continuous degradation prompt
In the fence adjusting process, the Muscovy duck individuals are adjusted from the high-level fence to the low-level fence to be defined as demotion, according to the database records, the Muscovy duck individuals with continuous demotion are prompted to managers through the data system, and the prompting content comprises Muscovy duck ID and a detailed demotion process.
The third step further comprises:
3.8 Muscovy Duck individual elimination analysis
Analyzing the data of the individuals to be eliminated, and revising the elimination probability according to the data.
the advantages of the invention are embodied in that: A. the big data means is introduced for assisting variety breeding, the method is suitable for large-scale Muscovy duck breeding, the data can be traced and analyzed to a certain degree, and the breeding level is fully improved; B. the Muscovy ducks planted in the laying period are out of the superiority and inferiority, relatively high-yield Muscovy duck breeding groups can be obtained, and the obtained hatching eggs are respectively preserved, thereby being beneficial to breeding individuals and varieties with high laying rate; C. the optimized combination of the field and the individual is realized through the echelon adjustment, the breeding labor amount is reduced, the external interference and stress reaction are reduced, and the egg laying level is favorably improved; D. the higher the fence level is, the lower the individual adjustment frequency in the fence is, the better the optimized combination is realized, and the high-yield strain is bred; E. a large amount of first-hand data are accumulated and can be used for subsequent research and deep production analysis, and meanwhile, the invention also provides a plurality of analysis modules, which are beneficial to improving the breeding and breeding levels.
Detailed Description
The following further illustrates embodiments of the invention:
firstly, initialization:
1.1, establishing a fence database
the fence database includes at least the following fields: column number, zone location, investigation time period, duck egg number, egg laying coefficient and fence level; the column number is used for uniquely identifying a fence; the number of the breeding duck eggs is used for recording the number of the breeding duck eggs collected in the column in the corresponding investigation time period; the egg laying coefficient is a quantitative index and is used for carrying out quantitative analysis according to the comparison condition of the number of the duck eggs planted in each fence and the average value in the current investigation time period, and the egg laying coefficient = the number of the duck eggs planted in the current fence/the average value of the number of the duck eggs planted in all the fences; the fence level is a qualitative index used for qualitatively determining the current fence according to the egg laying coefficient;
The classification rule of the fence level is set according to the production management requirement, and can be simply set as: high-yield columns, medium-yield columns and low-yield columns; the production level of the current fence can be intuitively reflected, and the fence can be visually labeled on the production site of the corresponding fence so as to be convenient for management and adjustment of cultivation personnel.
The investigation period is divided by 2 days or 4 days;
in the embodiment, in order to improve the management level, the fence level is set from five-star level to one-star level according to the egg laying level from high to low, and the fence is correspondingly labeled with the red star; each study period was 4 days.
1.2, establishing a Muscovy duck database
The Muscovy duck database at least comprises the following fields: muscovy duck ID, Muscovy duck incubation year and month, paternal description, maternal description, individual feature description, investigation time period, column number and individual judgment index;
The Muscovy duck ID is used for uniquely identifying Muscovy duck individuals, and the investigation time period is matched with the column number and is used for recording the specific fence where the Muscovy duck individuals are located in the current time period; the individual judgment index is set as a quantitative index, when the Muscovy duck individual is adjusted from a high-level fence to a low-level fence, the individual judgment index is reduced, otherwise, the individual judgment index is improved;
1.3, establishing a duck egg database
the duck egg database at least comprises the following fields: d, duck egg breeding, collecting time period, collecting column number and genetic relationship judgment;
The duck egg ID is used for identifying the collected duck egg, the collection time period corresponds to the investigation time period, and the genetic relationship judgment is used for judging the genetic relationship range of the duck egg according to the fence database and the Muscovy duck database; it should be noted that the ID of the breeding duck eggs can be accurate to each duck egg, or can be accurate to fence and time period, namely the breeding duck eggs collected in the same batch share one ID of the breeding duck eggs; the genetic relationship is judged according to the current fence and the time period, namely, the fact that a certain batch of eggs have the genetic relationship with a plurality of Muscovy ducks in a certain time period of a certain fence is judged, but the reason that the too fine attribution judgment is difficult to implement and unnecessary, and the too frequent data acquisition possibly has too large interference on the normal egg laying of the Muscovy ducks.
the kinship of a certain batch of duck eggs can be framed according to a duck egg database, the kinship comprises a father range and a mother range, and the fineness of the kinship is determined by the quantity and the scale of Muscovy ducks in a fence in an acquisition time period; therefore, necessary technical support can be provided for the subsequent Muscovy duck breeding and specific father and mother breeding work.
1.4, establishing egg frame database
The egg frame database includes at least the following fields: egg frame ID, duck egg ID;
the egg frame ID is used for uniquely identifying the egg frame, and the egg frame ID is identified on the egg frame in a computer readable mode; the duck egg ID is associated with the duck egg database and is used for recording the information of the duck eggs placed in the current egg frame;
A large number of egg frames are arranged in the strain breeding process, each egg frame has a unique egg frame ID, each egg frame ID is associated with a batch of duck egg IDs, and the source traceability of the duck eggs is facilitated in the circulation process.
feeding in two or more columns
2.1, feeding Muscovy ducks in a house in different columns by using a fence, and feeding a plurality of male Muscovy ducks and female Muscovy ducks in each column according to the ratio of 2: 5; all male muscovy ducks and female muscovy ducks are provided with foot rings with unique identification functions; respectively recording the current fence condition and Muscovy duck information into the fence database and the Muscovy duck breeding database;
at the beginning of the laying period, as initial values: the number of the duck eggs planted in all the fences is 0, the egg laying coefficient is 0, all the fence levels are set to be the lowest level, and in the subsequent management process, the data are adjusted according to the actual measurement condition; after 2-3 investigation time periods, the fence level is obviously different;
2.2, picking up eggs every day, marking the picked duck egg seeds, recording related data into a duck egg seed database, and updating the accumulated value of the number of the duck egg seeds corresponding to the column number in the current investigation time period;
In this step, a sufficient number of egg frames are prepared, and each frame is marked with an egg frame ID. The breeding duck eggs are respectively put into different egg frames according to different column division, and batch property marking of the breeding duck eggs is realized through egg frame marking.
The following functions can be achieved by establishing a duck egg database and an egg frame database: the method can determine the range of Muscovy ducks possibly having parent relationship with the duck eggs, and can determine the range of Muscovy ducks absolutely not having parent relationship with the duck eggs. The duck eggs planted in one batch have corresponding relation with the egg frames, so that the storage and circulation are convenient, and reference is provided for subsequent refined variety breeding.
In the step, the ID of the egg frame is marked by an RFID label and is pasted on the egg frame, and the duck egg planting data is directly recorded into a database. Accordingly, the system is equipped with a radio frequency identification system to achieve rapid identification and reading.
The egg frame database is used for realizing that the egg frame can be scanned and duck eggs can be traced. Production practice shows that if the mark is attached to an egg, the ink and the sticker have negative influence on the hatching of a duck egg, so that the mark only achieves the first level of an egg frame.
2.3, examination and evaluation
Accumulating the number of the duck eggs planted in a single fence when the current investigation time period expires, calculating the average value of the number of the duck eggs planted in all the fences, calculating the egg laying coefficient according to the comparison condition of the current fence and the average value, adjusting the fence level according to the classification rule, and recording the fence level in a fence database;
2.4, ladder-like tuning fence
For the pens with the egg laying coefficient lower than the set threshold, selecting the pens with the grade lower than that of the current pens, and performing gradient adjustment between the pens to realize optimal combination;
The specific method comprises the following steps: judging the egg laying level of the Muscovy duck individuals in the current fence and the selected low-level fence by egg touching operation, and according to the fence level, turning the Muscovy ducks with high egg laying rate to the upper fence and turning the Muscovy ducks with low egg laying rate to the lower fence, and correspondingly recording in a database after fence turning is finished;
In the step, the single individual adjustment quantity is determined according to the comparison condition of the egg laying coefficient and the set threshold, the egg laying coefficient is in inverse proportion to the individual adjustment quantity, namely, the fence with high egg laying quantity reduces the individual adjustment quantity as much as possible, so that the existing egg laying advantages are continued as much as possible, and the subjective intervention is reduced as much as possible.
the egg touching means that the egg bag at the abdomen of the Muscovy duck is touched manually to judge whether egg-shaped objects exist or not.
According to the biological habit, the Muscovy ducks lay eggs generally at 8 am in the morning, so the eggs are suitable to be laid after 5 pm, because the eggs are formed, the eggs are easy to touch, the recognition rate is high, the workload of workers is reduced, the stress reaction is also reduced, and the production performance of duck groups is fully exerted. The Muscovy ducks domesticated in a large scale are not rejected to egg-touching operation and have small stress response; meanwhile, the method reduces the intervention on the high-yield fence as much as possible and further reduces the human interference.
The laying period of the Muscovy ducks is about 170 days, the maximum laying amount of 90 Muscovy ducks in the laying period is about 2 days, namely the average level of 1 Muscovy duck is higher, and in addition, a plurality of eggs in the high-yield Muscovy ducks are generally developed after the first time, so that the egg touching of each day has obvious indications. In order to reduce misjudgment, the specific individual can be subjected to continuous egg-touching examination for at least 2 days, and the egg laying level is judged to be low and eliminated in downward gradient in all the continuous 2 days.
In this step, the stepwise means of selecting superior or inferior is adopted, and the advantages are as follows: the Muscovy duck is upgraded or degraded in a echelon manner, so that accidental interference can be reduced; managers can treat the fence according to the fence level and the egg laying coefficient, the high-yield fence is small in adjustment amount, relative stability is kept favorably, meanwhile, the workload is reduced, and the working efficiency is improved.
for the five-star management mode, 4 and 5 star levels are not adjusted; optimization of the 3-star fence by tuning is expected; 1. the 2 star level is taken as the lower level ladder of the 3 star level, and the complete elimination of partial individuals in the 1 star level column from the variety library can be considered after the adjustment for many times.
2.5 adjustment of genetic trait diversity
Adjusting male Muscovy ducks among different fences according to a specified time period, and correspondingly recording in a database after fence adjustment is finished, so as to obtain different genetic character combinations;
in the step, only one male Muscovy duck is adjusted for each fence at a time;
In the step, the male Muscovy ducks are only adjusted among a plurality of fences with the same fence level index, namely the male Muscovy ducks are continuously adjusted to the high yield fence in the past and are continuously adjusted to the low yield fence in the past, so that the negative influence possibly generated by the adjustment of the male Muscovy ducks is reduced.
2.6 Manual intervention column
For specific individuals in the high-level fence, performing unique identification according to the Muscovy duck ID corresponding to the foot ring, performing egg-touching operation for multiple days continuously to judge the egg laying level of the Muscovy ducks, moving the Muscovy ducks with low egg laying level out of the high-yield fence, correspondingly supplementing the high-yield ducks from the low-level fence, and correspondingly recording in a database after fence adjustment is completed.
In the step, the number of the eggs regulated in the high-level fence at each time is not higher than 2, and in addition, the egg-touching operation of a specific individual is carried out for at least 2 days continuously so as to obtain accurate conditions.
Preferably, tuning is an optional step that the breeder does after observing abnormalities in a particular individual.
Third, data analysis
The module obtains various valuable information through big data analysis according to the computer readable database obtained in the first step and the second step, thereby providing beneficial reference for subsequent breeding.
3.1 fence analysis
Counting the egg laying coefficients of all pens in a specified time period, and marking and analyzing pens higher than the average, wherein the analysis comprises the following steps: analyzing the conditions of corresponding areas, such as illumination, drinking water, ventilation and the like; summarizing and analyzing the common conditions of a plurality of high-level pens;
3.2 egg-laying cycle analysis
Analyzing the number of duck eggs for a plurality of designated fences according to the natural time sequence of the investigation time period, and drawing a line drawing to reflect the egg laying periodic variation of the Muscovy duck group;
3.3 Individual tracking
Drawing individual judgment index change curve graphs of a plurality of designated Muscovy ducks in a designated time period according to the Muscovy duck database data;
the change curve graph is set as an egg laying period and can reflect individual change conditions in the current period;
According to historical data, the change curve graph is set to be the whole life cycle of the individual so as to reflect the growth or aging condition of the individual;
3.4 analysis of Individual population influence
According to the database data, for the designated Muscovy duck individual, the individual judgment index change condition of the Muscovy duck related to the Muscovy duck in time and space is called so as to reflect the group influence condition of the examined individual.
for example: for a certain individual, if the situation that the individual judgment index is reduced frequently occurs in the partner raised in the same column of the individual in different time periods or in the same time period, the examined individual may have negative effects such as diseases or aggressivity.
in the step, the computer resources are greatly consumed, the computer can be set to automatically analyze all individuals except the data acquisition time, and the result is fed back to the culturists. The steps are preferentially considered for male Muscovy ducks and female Muscovy ducks frequently adjusted in columns.
3.5, inquiry of genetic relationship between duck eggs
determining an egg frame where the duck egg is planted according to the field condition, determining the ID, the acquisition time period and the acquisition column number of the duck egg according to the label on the egg frame, and tracing the genetic relationship range of the duck egg according to the database.
It should be noted that, this step only determines the approximate range of relationships, and may explicitly exclude the possibility of partial relationships, but not specifically to the individual parent.
3.6 Muscovy Duck continuous upgrade prompt
In the fence adjusting process, the Muscovy duck individuals are adjusted from the low-level fence to the high-level fence to be defined as upgrading, according to the record of a database, the Muscovy duck individuals continuously subjected to upgrading are prompted to managers through a data system, and the prompting content comprises Muscovy duck ID and the detailed upgrading process;
3.7 Muscovy Duck continuous degradation prompt
in the fence adjusting process, the Muscovy duck individuals are adjusted from high-level fences to low-level fences to be defined as degradation, according to the record of a database, the Muscovy duck individuals with continuous degradation are prompted to managers through a data system, and the prompting content comprises Muscovy duck ID and a detailed degradation process;
3.8 Muscovy Duck individual elimination analysis
analyzing the data of the individuals to be eliminated, and revising the elimination probability according to the data. The concrete way is many, for example: A. according to the Muscovy duck ID recorded by the foot ring, calling the original data of Muscovy duck incubation years and months, paternal description, maternal description and the like, analyzing the age and genetic characters of the Muscovy duck, and using the age and genetic characters as reference of elimination conditions; if the age is older, or the paternal line and the maternal line have no obvious advantages, the elimination probability is improved; B. analyzing the change condition of the individual judgment index in a specified time period as a reference of elimination conditions; and if the individual judgment index has no good performance in a plurality of investigation time periods and is continuously reduced, the elimination probability is improved. The individual historical conditions can be traced in detail by means of big data analysis, and subjective interference of cultivation personnel can be reduced in the elimination process.
the embodiments of the present invention include, but are not limited to, the above-mentioned embodiments, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the substance of the present invention, and still fall into the scope of the present invention.