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Shaoxing Duck Production Performance And Its Influencing Factors

Posted on:2005-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:H Y ChenFull Text:PDF
GTID:2193360125962566Subject:Animal breeding and genetics
Abstract/Summary:PDF Full Text Request
125 Shaoxing Ducks at the age of 60 days were used to estimate the phenotypic correlations between contents of the Insulin-like Growth 'Factor- I (IGF- I ), contents of the total protein (TP), activity of Glutamat-Oxaloacetat-Transaminase (GOT), activity of Glutamat-Pyruvat- Transferase (GPT) and the three laying traits (total eggs of 300 days, total egg weight of 300 days, the average egg weight) respectively. Treating the three laying traits as dependent variables, path analysis proceeded for in trait correlation of 60 days. The result indicated that the blood GPT had middle correlations with total eggs of 300 days (0.5274), total egg weight of 300 days (0.6234), strong correlations with the average egg weight (0.6395). The correlation coefficients were highly significant (P<0.01=TP had weak correlations with the three laying traits (0.2067, 0.2629, 0.3026). and they were all significantP< 0.05). The results of path analysis showed: that GPT had great positive effects on the three laying traits (0.5275, 0.6109, 0.6395).Canonical correlation of 9 variables in 3 group-traits (laying, growth and blood trait) for was studied. The results showed that the first coefficient of canonical correlation between the laying and the growth, as well as the growth and the blood trait, was highly significant. The canonical correlation coefficients were 0.8422 and 0.4149, they represented 99.23% and 90.86% of the total correlation respectively. The first coefficient of canonical correlation between the laying and the blood trait was 0.4369. It was significant and expressed 97.99% of the total correlation. The average egg weight, the body weight at D30, the body weight at D60 and the activity of GPT at D60 were the main traits for the contribution.A analysis of variance and estimation of least squares means based on the data of 125 ducks laying performances (total eggs of 300 days , total egg weight of 300 days, the average egg weight), indicated that the influence of the fixed effects of body weight and location on 3 traits of laying, GPT on total egg weight of 300 days and the average egg weight, TP on the average egg weight were all highly significant ( P< 0. 01) . The effect of GPT on total eggs of 300 days and TP on total egg weight of 300 days were significant (P < 0. 05) . The deciding coefficient of 3 traits of laying were 0.58, 0.75 and 0.84 respectivelyKhaki-Campbell duck and 4 strains of Shaoxing duck (Shaobai of high production strain, Shaobai of large egg strain, Shaohong of high production strain, Shaohong of large egg strain) were studied for the analysis of variance and estimation of least squares means based on the data of following blood biochemical parameters: TP, GPT, GOT and IGF- I . The result indicated that the influence of the fixed effects of location, breed(strain), age and sex on the TP, the effect of location on the GOT , the effect of breed (strain) on the GPT as well as the effect of location and breed(strain) on the IGF- I were all highly significant (PO.01). The effect of interaction between breed (strain) and age on TP as well as between breed (strain) and sex on GOT were significant. The significant effects were also estimated for the breed(strain), age, sex and body weight on GOT as well as the age on GPT and IGF- I . The least squares means (LSM) were calculated for TP ( 60.81 + 12.63 mg/ml), GOT (99.97 + 51.58 Karmen), GPT (72.63 + 44.84 Karmen)and IGF- I (116.84 +33.52 ng/ml).The laying rate at the age of 68 weeks of 3 breeds, ( Shaoxing duck, Khaki-Campbell duck and Gaoyou duck), were fitted by Wood Model. The R2 values of these fitting were 0.6098, 0.5338 and 0.7935. The result will provide scientific basis for the selection, feeding management and study of laying pattern in duck.
Keywords/Search Tags:Shaoxing duck, Laying traits, Growth traits, Blood traits, Fixed effects, The path analysis, Canonical correlation, The phenotypic correlations, Wood model
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