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20102
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Subject: Animal Genetics and Breeding × End date: 2011 × Start date: 2010 × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    GENETIC ANALYSIS OF EXOTIC AND NATIVE CHICKEN
    (SRI VENKATESWARA VETERINARY UNIVERSITY TIRUPATI - 517 502. (A.P.) INDIA, 2010-12) SREENIVAS, DASARI; GNANA PRAKASH, M(MAJOR); SHARMA, R.P; RUDRANATH CHATTERJEE; RAVINDER REDDY, V; MAHENDER, M
    ABSTRACT: The present investigation was carried out for estimation of genetic parameters on certain production, immunocompetence and egg quality traits in IWH, IWI and IWK strains and control population of White Leghorns and microsatellite marker based analysis on IWH and IWK strains and native breeds of Aseel and Kadaknath maintained at the Project Directorate on Poultry, Hyderabad. Significant genetic group differences were observed for all the production traits studied. The age at first egg (AFE) and body weights at 40, 52 and 64 weeks of age ranged from 143.49 * 0.56 to 155.63 * 0.57 days, 1290.74 * 7.21 to 1428.36 8.36, 1377.72 8.43 to 148 1.82 * 9.77 and 1455.73 * 9.49 to 1547.15 * 1 1.18 g, respectively. Egg production up to 40, 64 and 72 weeks of age ranged from 94.08 * 0.50 to 106.15 * 0.49, 178.24 * 1.20 to 202.32 k 1.18 and 190.90 + 1.22 to 215.17 1.20 eggs. respectively while egg weight at 28, 40, 52 and 64 weeks of age ranged from 43.81 * 0.15 to 46.77 * 0.15, 49.89 * 0.18 to 53.13 * 0.17, 53.1.3 k 0.16 to 54.65 * 0.15 and 55.47 * 0.15 to 57.59 * 0.14 g, respectively. The AFE was low to moderately heritable while the body weights were moderate to highly heritable. In general, egg production traits were lowly heritable while the egg weights were low to highly heritable. The genetic and phenotypic correlations of AFE were positive with body weights and egg weights but negative with egg production. The genetic and phenotypic correlations of body weight at 52 and 64 weeks of age were negative with egg production and positive with egg weight. The correlations among egg production traits and among egg weights were positive and high while the association between egg production and egg weight traits was moderate to high but negative. Significant differences among genetic groups were observed for antibody titre against SRBC and NDV only. Mean anti SRBC titre, anti NDV titre and response to PHA-P (mrn) ranged from 4.729 * 0.142 to 5.803 * 0.11 8, 10.033 .t 0.056 to 1 1.045 * 0.049 and 0.133 * 0.075 to 0.527 * 0.164, respectively. Heritability estimates of antibody titre against SRBC, NDV and response to PHA-P were low to medium. The anti SRBC titre had positive genetic correlation and negative phenotypic and environmental correlations with AFE. Genetic and phenotypic correlations with body weights and egg production traits were mostly positive. The genetic and phenotypic correlations of antibody titre against NDV with AFE and annual egg production were mostly positive. The correlations of response to PHA-P with other traits varied both in magnitude and direction. Significant genetic group differences were observed for various egg quality traits studied. The egg weight, haugh unit, yolk index, albumen index, yolk weight, albumen weight, shell weight and shell thickness ranged from 53.89 0.43 to 50.01 0.48 g, 65.38 * 0.92 to 80.98 * 1.01, 0.341 * 0.003 to 0.353 * 0.003, 0.056 * 0.002 to 0.087 * 0.002, 14.16 i 0.13 to 15.58k 0.12 g, 30.92 * 0.39 to 33.18k 0.39 g, 4.32 * 0.05 to 5.12 * 0.05 g and 0.336 k 0.003 to 0.376 * 0.003 mrn, respectively. The heritability estimates based on sire, dam and sire + dam components of variance for egg weight, yolk index, albumen index and albumen weight ranged from low to medium while those of haugh unit, yolk weight, shell weight and shell thickness ranged from low to high. The genetic and phenotypic correlations of egg weight with other egg quality traits except shell quality traits were mostly positive and moderate to high. High positive genetic and phenotypic correlations between haugh unit and other traits were observed. Genetic correlation of yolk weight with albumen weight was positive while that with shell quality traits was mostly negative. Shell weight was positively correlated with shell thickness. All the 15 microsatellite loci were polymorphic. The mean number of alleles (Na) varied from 2.0 to 5.0 among the loci and 3.13 * 0.13 to 3.80 k 0.13 among the populations. The effective number of alleles varied from 1.041 to 4.755 across the loci and between 2.33 0.09 and 3.21 k 0.1 1 among the populations. The allele frequency ranged from 0.012 to 0.980 across the loci. The overall mean PIC values ranged from 0.038 to 0.756 across the loci and 0.434 to 0.579 among the populations. The expected and observed heterozygosity estimates (0.634 * 0.020 and 0.723 * 0.031) were highest in Aseel, while lowest in IWH strain (0.500 i 0.022 and 0.471 * 0.034). Overall mean inbreeding coefficients for IWH, IWK, Kadaknath and Aseel were 0.205, 0.1 16, -0.052 and -0.130, respectively. The mean values of Fls, FST and FIT values over all the loci were -0.050 & 0.065,0.05 1 & 0.308 and 0.003 k 0.064, respectively. The genetic distance was least between Kadaknath and Aseel (0.023) and highest between IWH and Aseel (0.160). Kadaknath and Aseel were closer with maximum genetic identity index (0.977) while IWH and Aseel were more wide apart with least identity index (0.852). Phylogenetic analysis grouped IWH and IWK strains in to one cluster and Kadaknath and Aseel breeds in to another cluster. All the loci except MCW 048 deviated significantly from equilibrium frequency in at least one of the populations, while all the loci except MCW 007 and MCW 048 departed from the equilibrium frequency on overall basis.
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    ThesisItemOpen Access
    GENETIC EVALUATION OF ONGOLE CATTLE UNDER PROGENY TESTING PROGRAMME
    (SRI VENKATESWARA VETERINARY UNIVERSITY TIRUPATI - 517 502. (A.P.) INDIA, 2010-05) SAI REDDY, S; RAMESH GUPTA, B(MAJOR); VINOO, R; SUDHAKAR, K; MAHENDER, M
    ABSTRACT : The data on Ongole cattle maintained under the ICAR Network Project on Genetic improvement of Ongole breed through the Associate Herd Testing Programme at Lam farm, Guntur (1935), Cattle Breeding Farm, Chadalawada, Prakasam district (625), Livestock Research Station Mahanandi, Kurnool district (404) and Composite Livestock Farm, Chintaladevi, Nellore district (201), spread over a period of 22 years from 1987 to 2008, were analyzed. Multivariate analysis was undertaken to estimate the genetic divergence between the sets of the bulls under the progeny testing programme. The morphometric differences of the chromosomes between the cows born by embryo transfer technique and artificial insemination were studied. The overall least squares means for body weight, height at withers, chest girth and body length of Ongole cattle from birth to 24 months of age ranged from 26.49 to 245.40 kg, 71.58 to 133.58 cm, 66.35 to 146.53 cm and 62.91 to 127.64 cm, respectively. The effects of farm and period of birth were significant on the body weight, height at withers, chest girth and body length at all the ages studied. Season of birth significantly affected the body weight at birth, 1 and 3 months of age; height at withers at birth, 1 and 6 months age; chest girth at 3 months and body length at 6 months of age. The sex of the calf and set of the bulls significantly influenced the body weights and biometrical measurements, virtually at all the ages. The overall least squares means for 300-days lactation milk yield, total lactation milk yield, lactation length, peak yield, days to reach peak yield, milk yield per day of lactation and milk yield per day of calving interval were 718.53 kg, 720.90 kg, 233.99 days, 3.90 kg, 35.67 days, 3.08 kg and 1.43 kg, respectively and almost all these traits were affected significantly by the farm, period of calving, set of the bulls and order of lactation. However, peak yield alone was affected (P<0.01) by the season of calving and none of the production traits were influenced by the sex of the calf. The overall least squares means of number of inseminations per conception, age at first conception, age at first calving, gestation period, service period, dry period and calving interval were 2.02, 1358.82 days, 1592.22 days, 287.58 days 232.38 days, 282.94 days and 517.61 days, respectively and almost all these characters were affected by the farm, period, set of the bulls and order of lactation, while none of the reproductive traits were influenced by the season. Sex of the calf had significant influence on gestation period and dry period only. The mean breeding efficiency of the Ongole cows varied from 63.66 to 83.75 per cent and the rank correlations of breeding efficiency estimated by three different formulae were positive and significant. The farm and set of the bulls significantly influenced the breeding efficiency. The overall least squares means for life time milk yield, herd life, productive life, milk yield per day of herd life and productive life; wet days and dry days per herd life; wet days and dry days per productive life and gestation period per herd life and productive life were 3805.88 kg, 3773.84 days, 2287.48 days, 1.00 and 1.67 kg; 32.15 and 67.85%; 53.58 and 46.41% and 39.46 and 66.54%, respectively and all these traits were influenced by one or the other of the non-genetic effects studied. However, none of these characters were influenced by the set of the bulls. The estimates of heritability and genetic and phenotypic correlations of body weights and biometrical measurements varied from 0.01 to 0.43, 0.06 to 0.99 and 0.03 0.40 respectively. Similarly, the heritabilities of 300-days lactation milk yield, total lactation milk yield, Lactation length, peak yield, milk yield per day of lactation, milk yield per day of calving interval, gestation period, service period, dry period and calving interval were 0.27, 0.24, 0.21, 0.24, 0.09, 0.22, 0.14, 0.06, 0.06 and 0.06, respectively. The genetic correlations among production and reproduction traits were positive and ranged from 0.04 to 0.99, while the phenotypic correlations among these traits varied from 0.01 to 0.49. The heritability estimates for life time milk yield, herd life, productive life, lactation milk yield per herd life and productive life; wet and dry days per herd life; wet and dry days per productive life and gestation period per herd life and productive life were 0.66, 0.10, 0.17, 0.49 and 0.49; 0.23 and 0.23; 0.30 and 0.30 and 0.08 and 0.08, respectively. The genetic correlations among the various life time production traits ranged between 0.69 and 0.99 whereas the phenotypic correlations ranged from 0.01 to 0.47. The Mahalonobis genetic distances (D2) between all combinations of sets were highly significant. The calving interval, total lactation milk yield and lactation length contributed 40%, 40% and 20% to the total genetic diversity among the sets. Two distinct clusters were formed, the first one consisting of sets 1, 2, 3 and 5, while the second cluster had only 4th set. The diploid chromosome number was found to be 60, XX in both ET born and AI born cows. All autosomes were acrocentric, while the X-chromosome was longest submetacentric. The mean relative length of the autosomes varied from 1.95 to 4.97 and 1.95 to 4.99 per cent in ET and AI born cows respectively. The relative length of chromosome 20 of ET born cows was significantly longer (2.86%) than that of the AI born cows (2.77%). Except this, no other differences either in chromosome number or in chromosome morphology were detected between the ET born and AI born cows, suggesting that ET born cows were as good as the AI born cows with respect to their chromosome profiles. The present study indicated that the overall performance of the animals of Lam farm, with respect to the production, reproduction and life time traits, was the best, followed by Chadalawada, Mahanandi and Chintaladevi farms. The performance of the Ongole cattle during various periods did not exhibit any specific trend while the animals either born or calved during summer exhibited superior performance, when compared to those in rainy and winter seasons. The production and reproduction performance of the cows delivering female calves was better than those giving birth to male calves. The genetic variation among the set of bulls did not show a definite trend although the multivariate analysis revealed two clusters, one consisting of sets 1, 2, 3 and 5 and another set 4, with a considerable inter cluster distance.