A method for generating a standard
growth curve for chicken
flock breeding comprises the following specific steps that a, the same kind of chicken
flock is divided into N groups to be bred, and it is guaranteed that all chickens in each group of chicken
flock are born on the same day; b, recording the daily average weight of each group of chicken flocks; c, taking the daily average weight of all groups of chicken flocks as a
training set, learning in a learning model, averaging, and finally generating a daily age average weight standard
growth curve of the same type of chicken flocks by means of a Gompertz fitting model; and d, changing any condition of variety, gender, region, henhouse
control mode, climate and breeding mode to form a new type of chicken flocks, and repeating the steps b and c to obtain daily age average weight standard growth curves of different types of chicken flocks. The daily age average weight standard
growth curve obtained by the method is more consistent with the
actual weight of the chicken flocks, the average
weight prediction of the chicken flocks is more scientific and accurate, and meanwhile, the problem of
physical health of the chickens caused by a mode of catching the chickens by sampling is avoided.