Principal component regression of carcass traits in meat line funaab alpha chicken genotype (original) (raw)
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64-2018-PCA-Carcass traits of two broilers.pdf
Esxon Publishers(International Journal of Applied Research and Technology), 2018
This study was designed to use the principal components analysis application on carcass indices of two commercial meat-type chickens under Southern Guinea Savanna region of Nigeria. A total 300 day - old chicks comprises of 150 each of Marshall and Abor acre birds were obtained for the study and reared for period of 8 weeks. 80 of each strain were slaughtered for carcass traits assessment, such as live weight (LW), bleed weight (BLW), defeathered weight (DFW), eviscerated weight (EVW), breast weight (BRT ), shank weight (SHK), thigh weight (TH) and wing weight (WG). Abor acre chicken was superior for all carcass traits measured than its Marshall counterpart due to its better genetic make-up. Correlation coefficient revealed that most of the considered variables were positive and highly significant especially for Arbor acre birds. The three principal components was extracted while the three components explained about 63.63 % and 92.55 % of the total variance for Marshall and Abror acre chickens and the first principal component explained 54.75 % and 71.65 % for Marshall and Abror acre chickens, respectively. The eight traits have the highest correlation with the PC1 as evaluated as a group, LW, BLW, DFW, EVW, BRT, WG, SHK and TH are more influential in forming PC1 for Arbor acre birds than the Marshall chicken. The PCA could be used to facilitate genetic programme for selection and breeding purpose due to its way of reducing number of variables considered in evaluation of an animal.
Tarım Bilimleri Dergisi, 2011
The main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre-and postslaughter traits of Ross 308 broiler chickens). Principal component analysis (PCA) was applied to predictor variables to avoid multicolinearity problem. According to results of the PCA, out of 7 principal components only the first three components (PC1, PC2, and PC3) with eigenvalue greater than 1 were selected (explained 89.45 % of the variation) for MMLR analysis. Then, the first three principal component scores were used as predictor variables in MMLR. The results of MMLR analysis showed that shank width, breast circumference and body weight had a similar linear effect on predicting the post-slaughter traits (P=0.746). As a result, since the animals had high value of shank width, breast circumference and body weight, it might be probable that their post-slaughter traits namely heart weight, liver weight, gizzard weight and hot carcass weight were also expected to be high.
The Influence of Genotype and Sex on Carcass Characteristics at Broiler Chickens
In this experiences was studied the influence of genotype and sex on carcass characteristics (slaughter yield, participation percentage of the cut parts from the whole carcasses structure, the meat:bone ratio from carcass and from major parts of the carcass) at broiler chickens reared in identical conditions and slaughtered at 42 days old. The genetic material was represented of broiler chickens that belonged hybrids: „Ross-308” (control batch-Lc) and „Lohmann Meat” (experimental batch-Lexp). After slaughter, from each group were sampled 30 carcasses (15 per sex), was determined slaughter yield and participation percentage of the cut parts from the whole carcasses structure using gravimetric measurements. The meat:bone ratio was determined on 10 carcases from each batch (five per sex) that were manually deboned. For analysis of variance was used Mann Whitney test. The results of this experiment showed that sex influenced the slaughter yield (P≤0.05), participation percentage of the ...
The Effect of Sex on the Accuracy of Predicting Carcass Composition of Ross Broiler Chickens
Linear regression equations predicting carcass composition by live body weight were developed using data from 40 males (M) and 40 females (F) of Ross broiler chickens at 33 days of age. Equations from M, F and combined sexes (M+F) were compared to examine the effects of sex on the precision of predicting carcass composition. M birds had higher live body weights and weights of carcasses, drumsticks and wings than F birds. Live body weight was positively correlated with all the carcass components in M and M+F (r=0.98 to 0.26) and all carcass components except abdominal fat in F birds (r=0.99 to 0.46). Prediction equations for carcass weight and carcass composition of breast, drumsticks, thighs, back and wings of F birds were slightly more variable in precision (R 2 =98.3 to 21.2%) than those developed in M birds (R 2 =96.9 to 63.4%), and equations developed from M + F birds were intermediate. Sex of bird significantly influenced the R 2 when predicting neck and wings weights. It can b...
International Journal of Nutrition and Agriculture Research., 2019
The uses of principal components analysis (PCA) were recently common in analysis of relationships between scores of variables in animals. The study adopted the PCA methods in estimation of body weight from linear body measurements in two commercial meat-type chickens raised in southern guinea environment of Nigeria. A total of 300 birds comprise of 150 each of Marshall and Arbor acre broiler chickens were used for the study. Traits measured were body weight (BW), Body length (BDL), keel length (KL), Breast width (BRW), Thigh length (TH), shank length (SHK) and wing length (WG). The descriptive statistics indicated that the average BDW (1.63 vs 1.91kg), BDL (20.63 vs 20.76cm), KL (10.53 vs 10.47cm), BRW (3.24 vs 3.07cm), TH (10.11 vs 10.09), SHK (11.67 vs 11.85cm) and WG (22.30 vs 23.08cm) were obtained for Marshall and Abor acre, respectively. The correlation coefficient observed varied from r = 0.72 to r = 0.96 for Marshall while the ranged of r =0.73 to r = 0.95 was recorded for Abor acre while all variables were positive and highly significant (P<0.01). The PCA results revealed that three principal components were extracted for the broiler chickens explaining 95.28 % and 94.82 % of the total variation in the original variables for both Marshall and Arbor acre chicken. However, Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy values are 0.90 and 0.92 were termed to be marvelous with Bartlett's test of 9026.63 and 8715.13 at determinants 1.37E and 2.39E for Marshall and Arbor acre birds, respectively. These components could be a template for selection criteria for breeding programme in broiler chickens.
Variation of meat-type chickens in relation to genotypes and age of slaughter on carcass indices
The experiment was conducted to compare the various carcass characteristics between two broiler strains. A total bird of 150 day-old chick of two commercial broiler strains (Marshall and Cobb, 75 each) were raised and at the end of 4, 6 and 8 weeks, 20 birds/strain; 40 birds/week, making a total of 120 birds were randomly selected from both strains for carcass analysis. The birds were starved of feed overnight and individually weighed to obtain starved live body weight. The birds were stunned and bled by severing the blood vessels and the nerve trunks at the roof of the mouth with a sticking knife. Thereafter, the birds were scalded, deplumed manually and eviscerated through a slit made between the end of the keel bone and rectum. Data were obtained on live weight (gram), eviscerated weight (gram), carcass weight (gram), dressing weight (gram), breast weight (gram), shank weight, thigh weight (gram), drumstick weight (gram) and back weight (gram). The visceral organs observed were liver, lungs,