Four-factor and three-level orthogonal experimental design(L9(34))was used in the experiment.The effects of three genotypes:Germany SAB three-bred-cross rabbits(S2),New Zealand purebred(N),and crossbred rabbits(ON);th...Four-factor and three-level orthogonal experimental design(L9(34))was used in the experiment.The effects of three genotypes:Germany SAB three-bred-cross rabbits(S2),New Zealand purebred(N),and crossbred rabbits(ON);three levels of Clenbuterol treatment: 1 ng.g-1,2 ng.g-1and 3 ng.g-1,and three feeding methods:5-day,7-day and 10-day withdrawal period after two weeks of feeding Clenbuterol(CL)on bodyweight gain were evaluated.CL apparently improved average daily gain(ADG)of rabbits.70-day ADG of 5-day and 10-day withdrawal were higher than that of 7-day withdrawal,70-day ADG of S2 genotype was significantly higher than that of the control and N genotype was significant.Genotype,additive dose and feeding method had significant effects on overall-stage ADG.ON genotype,2 ng.g-1 dose and 5-day withdrawal feeding method was the best.Responses of different genotype to Clenbuterol appeared different at experimental prophase or whole experimental period.展开更多
With the development of precision livestock farming,non-contact health monitoring technology is particularly important in the breeding process.To help improve the management of the rabbit breeding industry,a remaining...With the development of precision livestock farming,non-contact health monitoring technology is particularly important in the breeding process.To help improve the management of the rabbit breeding industry,a remaining feed weight(RFW)estimation model was developed based on the image segmentation method.The model proposed in this study consisted of a feed instance segmentation neural network and feed weight estimation network.Feed instance segmentation neural network was based on the improved Mask Region-based Convolution Neural Network(Mask RCNN),the state-of-art image segmentation method,and the PointRend algorithm was used to replace the original network head.Through an adaptive subdivision strategy,the boundary points were segmented with fine details.Features were extracted from the segmentation results and used as the input of the feed weight estimation network based on the Back Propagation(BP)algorithm.The model was applied in rabbit breeding to explore the relationship between RFW and the mortality probability of meat rabbits.The model evaluation results showed that the Average Precision(AP)value of the feed instance segmentation neural network was 0.987,the Mean Pixel Accuracy(MPA)value was 0.985.The correlation coefficient of the feed weight estimation network was 0.97,the Mean Squared Error(MSE)was 208.3,and the Mean Absolute Error(MAE)was 10.51 g.The practical application results showed that the feed intake of the unhealthy meat rabbits would decrease significantly.When the RFW was more than 50%of feed quantity,the mortality probability of the rabbit was more than 85%;when the RFW was more than 65%of feed quantity,all the rabbits finally died in a short time.Therefore,there is a significant correlation between RFW and the mortality probability of rabbits,by which this proposed model can help farms to monitor the health of meat rabbits by predicting RFW.展开更多
The growth curves of five meat rabbit breeds are fitted in form of Gompertz model.The results are shown as follows:the goodness of fit is higher than 99 50%;considering the body weight at one hundred day?the maximum ...The growth curves of five meat rabbit breeds are fitted in form of Gompertz model.The results are shown as follows:the goodness of fit is higher than 99 50%;considering the body weight at one hundred day?the maximum weight(A)?the instantaneous relative growth rate(K)?the turning weight(W )?the turning age (t )?the early average daily gain (KW ) selection,the Checkered Giant(GG) and the New Zealand White (NN) are better than other meat breeds,the slauthter age should be at the age of 90 day.展开更多
[Objectives]miRNAs play an important role in the proliferation and differentiation of different myoblasts.This study was conducted to elucidate the complex genetic mechanisms that affect the meat production performanc...[Objectives]miRNAs play an important role in the proliferation and differentiation of different myoblasts.This study was conducted to elucidate the complex genetic mechanisms that affect the meat production performance of Sichuan white rabbits and reveal the regulatory role of miRNAs in their muscle growth and meat quality formation.[Methods]Three constructed skeletal muscle libraries of Sichuan white rabbits aged six months were sequenced by the solexa technology to identify known miRNAs,predict new miRNAs and construct an expression profile of muscle miRNAs.[Results]A total of 511 known miRNAs and 42 miRNAs were detected in 34089472 pure sequences,and the proportion of miRNAs with a length of 22 nt was the highest.The number of known miRNA sequences accounted for 71.38%of pure sequences,which was much higher than the proportion of other types of RNAs.The proportion of sequences from exons was 0.38%,indicating a low degree of mRNA degradation in the samples.Base U had the highest proportion at the first position,and the bases with the highest proportions at positions 8 and 10 were U and A,respectively.Muscle-specific miRNAs(miR-1,miR-133,and miR-206)ranked in the top 10 in terms of expression level.The number and expression levels of new miRNAs were lower than those of known miRNAs.The length distribution,base bias at different positions and expression profile characteristics of miRNAs might be related to the biological function of miRNAs in regulating muscle proliferation and differentiation and the action mechanisms with target genes.[Conclusions]The identification and expression of miRNAs in muscle tissues of Sichuan white rabbits will help to understand the complex molecular mechanisms of meat production performance and provide a theoretical basis for the functional research of miRNAs in meat rabbits.展开更多
Rabbits are easy to raise and have a high reproductive capacity. Rabbit meat is a digestive food and has high protein, low fat and low cholestorol. According to tests, the content of protein in rabbit meat is 28.4%, h...Rabbits are easy to raise and have a high reproductive capacity. Rabbit meat is a digestive food and has high protein, low fat and low cholestorol. According to tests, the content of protein in rabbit meat is 28.4%, higher than beef, pork, mutton and fowls, that of fat is 8%, roughly the same as beef, and that of cholestorol is only 0.05%. Thus, the展开更多
文摘Four-factor and three-level orthogonal experimental design(L9(34))was used in the experiment.The effects of three genotypes:Germany SAB three-bred-cross rabbits(S2),New Zealand purebred(N),and crossbred rabbits(ON);three levels of Clenbuterol treatment: 1 ng.g-1,2 ng.g-1and 3 ng.g-1,and three feeding methods:5-day,7-day and 10-day withdrawal period after two weeks of feeding Clenbuterol(CL)on bodyweight gain were evaluated.CL apparently improved average daily gain(ADG)of rabbits.70-day ADG of 5-day and 10-day withdrawal were higher than that of 7-day withdrawal,70-day ADG of S2 genotype was significantly higher than that of the control and N genotype was significant.Genotype,additive dose and feeding method had significant effects on overall-stage ADG.ON genotype,2 ng.g-1 dose and 5-day withdrawal feeding method was the best.Responses of different genotype to Clenbuterol appeared different at experimental prophase or whole experimental period.
基金the China Agriculture Research System of MOF and MARA(Grant CARS-43-D-2).
文摘With the development of precision livestock farming,non-contact health monitoring technology is particularly important in the breeding process.To help improve the management of the rabbit breeding industry,a remaining feed weight(RFW)estimation model was developed based on the image segmentation method.The model proposed in this study consisted of a feed instance segmentation neural network and feed weight estimation network.Feed instance segmentation neural network was based on the improved Mask Region-based Convolution Neural Network(Mask RCNN),the state-of-art image segmentation method,and the PointRend algorithm was used to replace the original network head.Through an adaptive subdivision strategy,the boundary points were segmented with fine details.Features were extracted from the segmentation results and used as the input of the feed weight estimation network based on the Back Propagation(BP)algorithm.The model was applied in rabbit breeding to explore the relationship between RFW and the mortality probability of meat rabbits.The model evaluation results showed that the Average Precision(AP)value of the feed instance segmentation neural network was 0.987,the Mean Pixel Accuracy(MPA)value was 0.985.The correlation coefficient of the feed weight estimation network was 0.97,the Mean Squared Error(MSE)was 208.3,and the Mean Absolute Error(MAE)was 10.51 g.The practical application results showed that the feed intake of the unhealthy meat rabbits would decrease significantly.When the RFW was more than 50%of feed quantity,the mortality probability of the rabbit was more than 85%;when the RFW was more than 65%of feed quantity,all the rabbits finally died in a short time.Therefore,there is a significant correlation between RFW and the mortality probability of rabbits,by which this proposed model can help farms to monitor the health of meat rabbits by predicting RFW.
文摘The growth curves of five meat rabbit breeds are fitted in form of Gompertz model.The results are shown as follows:the goodness of fit is higher than 99 50%;considering the body weight at one hundred day?the maximum weight(A)?the instantaneous relative growth rate(K)?the turning weight(W )?the turning age (t )?the early average daily gain (KW ) selection,the Checkered Giant(GG) and the New Zealand White (NN) are better than other meat breeds,the slauthter age should be at the age of 90 day.
基金Supported by Science and Technology Achievement Transformation Project of Scientific Research Institutions(2021JDZH0019)National Modern Agricultural Industry Technology System of the Ministry of Agriculture(CARS-43-D-1)+4 种基金Sichuan Provincial Breeding Research(2021YFYZ0033)Special Fund for Basic Scientific Research Business of Sichuan Animal Science Academy(SASA202105SASA202305)Natural Science Foundation of Sichuan Province(2023NSFSC0171)Basic Research for Application of Sichuan Provincial Science and Technology Planning Project(2021YJ0267)。
文摘[Objectives]miRNAs play an important role in the proliferation and differentiation of different myoblasts.This study was conducted to elucidate the complex genetic mechanisms that affect the meat production performance of Sichuan white rabbits and reveal the regulatory role of miRNAs in their muscle growth and meat quality formation.[Methods]Three constructed skeletal muscle libraries of Sichuan white rabbits aged six months were sequenced by the solexa technology to identify known miRNAs,predict new miRNAs and construct an expression profile of muscle miRNAs.[Results]A total of 511 known miRNAs and 42 miRNAs were detected in 34089472 pure sequences,and the proportion of miRNAs with a length of 22 nt was the highest.The number of known miRNA sequences accounted for 71.38%of pure sequences,which was much higher than the proportion of other types of RNAs.The proportion of sequences from exons was 0.38%,indicating a low degree of mRNA degradation in the samples.Base U had the highest proportion at the first position,and the bases with the highest proportions at positions 8 and 10 were U and A,respectively.Muscle-specific miRNAs(miR-1,miR-133,and miR-206)ranked in the top 10 in terms of expression level.The number and expression levels of new miRNAs were lower than those of known miRNAs.The length distribution,base bias at different positions and expression profile characteristics of miRNAs might be related to the biological function of miRNAs in regulating muscle proliferation and differentiation and the action mechanisms with target genes.[Conclusions]The identification and expression of miRNAs in muscle tissues of Sichuan white rabbits will help to understand the complex molecular mechanisms of meat production performance and provide a theoretical basis for the functional research of miRNAs in meat rabbits.
文摘Rabbits are easy to raise and have a high reproductive capacity. Rabbit meat is a digestive food and has high protein, low fat and low cholestorol. According to tests, the content of protein in rabbit meat is 28.4%, higher than beef, pork, mutton and fowls, that of fat is 8%, roughly the same as beef, and that of cholestorol is only 0.05%. Thus, the
