5 results about "Carcass weight" patented technology

The application discloses an intelligent device for automatically measuring and collecting live weight before pig slaughtering and carcass weight after pig slaughtering, which comprises a work station one and a work station two. The work station one comprises a visual acquisition station, a weighing table is arranged below the visual acquisition station, and an identification station one is arranged at the side end of the visual acquisition station. The work station two comprises a conveying rail, an identification station two is arranged at the top of the conveying rail, a weighing rail is arranged at the side of the conveying rail, and an anti-shaking stabilizing assembly is arranged below the weighing rail. The intelligent device for automatically measuring and collecting live weight before pig slaughtering and carcass weight after pig slaughtering realizes automatic association of live weight before slaughtering and carcass weight after slaughtering. Meanwhile, a laser sensor is used to collect the shaking characteristics of the carcass, original weight signals are filtered according to the shaking data, and the dynamic weighing precision of the carcass is improved. In addition, the weighing table adopts an open channel design, and the weighing rail adopts a non-contact laser measurement, so that the production line can continuously flow.

The application provides application of a fermenting agent and / or a total mixed fermented daily ration prepared by the fermenting agent in improving growth performance, slaughter performance and / or meat quality of sheep, and belongs to the technical field of feedstuff.The total mixed fermented daily ration prepared by the fermenting agent can effectively improve the growth performance, slaughter performance and meat quality of sheep.The results of examples show that the total mixed fermented daily ration prepared by the fermenting agent can be used for feeding fattening sheep, can significantly improve the tenderness of meat, reduce the shear force of meat, reduce the fiber diameter of longissimus dorsi muscle, reduce the cross-sectional area of longissimus dorsi muscle fiber and improve the fiber density of longissimus dorsi muscle;can significantly reduce the feed conversion ratio, improve the average daily weight gain;can significantly increase the carcass weight, slaughter rate and reduce the back fat thickness.In conclusion, the fermenting agent and the total mixed fermented daily ration prepared by the fermenting agent provided by the application provide a technical scheme for realizing cost reduction in production and cost reduction and benefit increase in the industry of sheep and other ruminants, and are suitable for large-scale popularization and application.

The application discloses a pig carcass quality data evaluation system and method based on machine learning, and relates to the technical field of pig carcass quality data evaluation management. The system comprises a quality optimization demand judgment module, a quality influence factor judgment and optimization module, and a pig carcass quality data quantification module. The application judges whether there is a demand for image quality optimization through image parameters of an initial pig carcass image. If not, pig carcass quality data quantification is directly performed. If yes, whether image quality enhancement is performed to improve the overall visual effect of the image is judged based on an image acquisition confidence evaluation result reflecting image acquisition reliability. If not, whether image blur correction is performed to restore image edges and texture details is further judged. Finally, pig carcass quality data quantification is performed on the optimized pig carcass quality data, which can ensure the accuracy of data quantification and improve the pig carcass quality data evaluation accuracy.

The invention relates to the technical field of biological breeding, in particular to a primer group and a kit for detecting an SNP (Single Nucleotide Polymorphism) marker related to a cattle carcass weight character and application of the primer group and the kit. The primer group comprises an upstream primer F as shown in SEQ ID NO.2 and a downstream primer R as shown in SEQ ID NO.3, the SNP marker detected by the primer group and related to the carcass weight character of the cattle is located at the 59342623bp position on the 20th chromosome of the cattle, an A / G mutation site exists at the 59342623bp position, so that the SNP marker has three genotypes of AA, AG and GG, and the carcass weight of individuals with the genotypes of AA and AG is remarkably higher than that of individuals with the genotypes of GG. The method is used for screening carcass heavy individuals with excellent snowflake beef production aiming at the hybrid population of the He cattle and the Angus cattle, and can be used for early marker-assisted selective breeding to accelerate the breeding process.

The invention relates to the technical field of livestock breeding, in particular to a method for predicting slaughter performance of local pigs, a storage medium and electronic equipment. The method comprises the following steps: acquiring a living body size data set of a local pig; obtaining a body size data candidate set associated with local pig slaughtering performance; obtaining a candidate variable set composed of the key variables; the optimal prediction model of the slaughter performance of the local pigs is obtained, the slaughter performance of the local pigs is predicted through the optimal prediction model, the prediction errors of the carcass weight and the lean meat weight are smaller than 5% and 10% respectively, and high precision and reliability of the optimal prediction model in practical application are shown. A computer program instruction is stored in the storage medium; the electronic device includes at least one processor, at least one memory, and computer program instructions stored in the memory; the method is implemented when computer program instructions are executed by a processor.