10 results about "Carcass weight" patented technology

The application discloses a SNP molecular marker related to chicken carcass weight traits and application thereof, the molecular marker site is located in an intron region of RNASEH2B gene, GRCg6a version genome chr1:171223058, 1174 chicken crossbreeding population individuals are sequenced by using resequencing technology, and whole genome association analysis is carried out, a SNP site significantly related to a carcass phenotype is found, the SNP marker has three genotypes, AA, CC and AC, wherein CC corresponds to higher carcass weight, breast muscle weight and leg muscle weight, SNP frequency analysis of the SNP site in low-weight chicken breeds and high-weight chicken breeds is carried out, and it is found that the SNP frequency distribution has a significant difference in the low-weight chicken breeds and the high-weight chicken breeds, in the high-weight chicken, C is the dominant allele, and in the low-weight chicken, A is the dominant allele, and early selection of chicken carcass traits can accelerate chicken genetic breeding by selecting the C / C genotype of the SNP site.

The invention discloses application of oxidized berberine and neohesperidin in improving intestinal health of broiler chickens, and belongs to the technical field of feed additives. Research finds that oxidized berberine and neohesperidin can increase the intestinal villus height, crypt depth and goblet cell number of broiler chickens and improve intestinal health; the slaughter indexes such as daily weight gain and feed intake can be improved, the feed-weight ratio is reduced, and the slaughter indexes such as carcass weight and semi-eviscerating weight are increased; meanwhile, the serum immune factor and antioxidant index level is improved, the safety is high, and no obvious toxicity exists; and the two components are combined for use, so that a synergistic interaction effect is also achieved. The invention provides a new raw material resource for improving the intestinal health of the broiler chicken and improving the production performance and economic value of the broiler chicken.

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 discloses a SNP molecular marker related to multiple growth traits of chickens and application of the molecular marker, the molecular marker site is located in an intron region of an NCAPG gene, a GRCg6a version genome chr4:75892495, 845 chicken crossbreeding population individuals are sequenced by using resequencing technology, and whole genome association analysis is carried out, a SNP (chr4:75892495) site significantly related to chicken body weight and carcass weight phenotypes is found, the SNP marker has three genotypes, TT, CC and TC, wherein TT corresponds to higher body weight and carcass weight, SNP frequency analysis of the SNP site in low body weight chicken breeds and high body weight chicken breeds is carried out, and it is found that the SNP frequency distribution has significant differences in the low body weight chicken breeds and the high body weight chicken breeds, in the high body weight chicken, T is the dominant allele, and in the low body weight chicken, C is the dominant allele, and through optimization of the T / T genotype of the SNP site, early selection of chicken body weight and carcass weight traits can accelerate the genetic breeding of the chicken.

The present application relates to a kind of genetic markers related to multiple carcass traits of chicken and its application.The present application discloses a SNP site related to chicken carcass weight, total stomach weight and liver weight, which is located on the upstream of SETDB2 gene, and the genomic position is GRCg6a version genome 1 chromosome 170526425 nucleotide.The SNP marker exists 3 genotypes, T / T, C / C and T / C, wherein T / T corresponds to higher chicken carcass weight, total stomach weight and liver weight and other carcass traits.In high weight chicken, T is dominant allele, and in low weight chicken, C is dominant allele, by selecting the T / T genotype of the SNP site, early selection of chicken carcass traits can speed up the genetic breeding of chicken.

The invention discloses an Indel molecular marker related to growth and slaughter traits in the IGF2BP3 gene of meat pigeons and its application. The Indel molecular marker is an Indel mutation in the 3'UTR region of the IGF2BP3 gene of meat pigeons, a deletion of 25bp in the physical position 267209-267233 interval on the meat pigeon reference genome Assembly Cliv_1.0NW_004973668.1Scaffold, and the sequence is shown in SEQ ID NO:1. Growth traits include live weight, body oblique length, keel length, breast depth, chest width, shank length and shank circumference; slaughter traits include carcass weight, heart weight, liver weight, gizzard weight, wing weight, leg muscle weight, half-eviscerated weight and full-eviscerated weight. The Indel molecular marker is used for meat pigeon growth and slaughter trait improvement and auxiliary breeding, greatly improving the accuracy of improved breeding, low cost and high efficiency.

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.