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Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar

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Subject: Animal Genetics and Breeding × Thesis Type: M.V.Sc. ×
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    ThesisItemUnknown
    Association of polymorphism in β- LG and κ-CN genes with milk composition traits in Harnali and Munjal Sheep
    (LUVAS Hisar, 2023-06) Deepak; Magotra, Ankit
    The present study aimed to investigate the association of polymorphisms in the β-LG and κ- CN genes with milk and udder conformation traits in Harnali and Munjal sheep breeds. A total of 105 Harnali and 34 Munjal sheep were included in the study, and blood samples were collected for DNA isolation and genetic profiling.For the β-LG gene, genotype frequencies in Harnali were 54% (AA), 34% (AB), and 12% (BB), with corresponding allele frequencies of 71% (A) and 29% (B). In Munjal, genotype frequencies were 35% (AA), 24% (AB), and 41% (BB), with allele frequencies of 47% (A) and 53% (B). Combined analysis of both breeds showed genotype frequencies of 51% (AA), 32% (AB), and 16% (BB), with allele frequencies of 67% (A allele) and 33% (B allele).For the κ-CN gene, genotype frequencies in Harnali were 74% (AA), 5% (AB), and 20% (BB), with allele frequencies of 0.77 (A) and 0.23 (B). In Munjal, targeted loci revealed a monomorphic banding pattern, indicating limited genetic variability.The study found that the AA genotype of the β-LG gene was associated with a decline in milk yields over the four-month period, while the AB genotype showed consistent milk yields, and the BB genotype exhibited an increasing trend. The AA genotype had the lowest milk yields, while the AB genotype had the highest total milk yield (p < 0.05). The AA genotype also showed a gradual increase in fat percentage over the four-month period, while the AB and BB genotypes had relatively consistent fat percentages. Protein percentages showed an increasing trend in the AA genotype, while the AB and BB genotypes had similar protein percentages (p < 0.05). The SNF content varied among genotypes, with the AA genotype showing fluctuations. Density values and lactose percentages showed slight variations among genotypes (p < 0.05).Regarding udder conformation traits, the genotype of the β-LG gene had a significant effect, but the significance varied across different months. The κ-CN gene genotype showed a significant influence on both monthly milk yield and total milk yield, as well as a significant association with fat percentage for the AA and BB genotypes. The AA genotype exhibited increasing fat percentages over the four-month period, while the BB genotype had higher fat percentages overall. The genotypes of the κ-CN gene were significantly associated with udder circumference (UC), udder width (UW), and teat length left (TLL), with variations observed across different months (p < 0.05). Age at lambing and weight at lambing showed significant associations with milk traits (p < 0.05) and litter weight (p < 0.01). Breed also had significant impacts on certain traits, such as first-month protein percentage, udder width and udder height (p < 0.05).The study employed different prediction methods, including Artificial Neural Network (ANN), Bayesian (BT), and Multiple Regression (MR), to assess the accuracy of predicting milk yield. The ANN method exhibited the highest correlation coefficient (r value) of 0.84, indicating the strongest predictive accuracy for milk yield. The BT method achieved a correlation coefficient of 0.77, while the MR method had a correlation coefficient of 0.64. Overall, these findings enhance our understanding of the genetic factors influencing milk composition traits in Harnali and Munjal sheep. The study highlights the potential implications for selective breeding and management practices in the sheep industry, aiming to improve milk yield and composition through genetic selection.
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    ThesisItemOpen Access
    Association of polymorphism in β- LG and κ-CN genes with milk composition traits in Harnali and Munjal Sheep
    (LUVAS Hisar, 2023-06) Deepak; Magotra, Ankit
    The present study aimed to investigate the association of polymorphisms in the β-LG and κ- CN genes with milk and udder conformation traits in Harnali and Munjal sheep breeds. A total of 105 Harnali and 34 Munjal sheep were included in the study, and blood samples were collected for DNA isolation and genetic profiling.For the β-LG gene, genotype frequencies in Harnali were 54% (AA), 34% (AB), and 12% (BB), with corresponding allele frequencies of 71% (A) and 29% (B). In Munjal, genotype frequencies were 35% (AA), 24% (AB), and 41% (BB), with allele frequencies of 47% (A) and 53% (B). Combined analysis of both breeds showed genotype frequencies of 51% (AA), 32% (AB), and 16% (BB), with allele frequencies of 67% (A allele) and 33% (B allele).For the κ-CN gene, genotype frequencies in Harnali were 74% (AA), 5% (AB), and 20% (BB), with allele frequencies of 0.77 (A) and 0.23 (B). In Munjal, targeted loci revealed a monomorphic banding pattern, indicating limited genetic variability.The study found that the AA genotype of the β-LG gene was associated with a decline in milk yields over the four-month period, while the AB genotype showed consistent milk yields, and the BB genotype exhibited an increasing trend. The AA genotype had the lowest milk yields, while the AB genotype had the highest total milk yield (p < 0.05). The AA genotype also showed a gradual increase in fat percentage over the four-month period, while the AB and BB genotypes had relatively consistent fat percentages. Protein percentages showed an increasing trend in the AA genotype, while the AB and BB genotypes had similar protein percentages (p < 0.05). The SNF content varied among genotypes, with the AA genotype showing fluctuations. Density values and lactose percentages showed slight variations among genotypes (p < 0.05).Regarding udder conformation traits, the genotype of the β-LG gene had a significant effect, but the significance varied across different months. The κ-CN gene genotype showed a significant influence on both monthly milk yield and total milk yield, as well as a significant association with fat percentage for the AA and BB genotypes. The AA genotype exhibited increasing fat percentages over the four-month period, while the BB genotype had higher fat percentages overall. The genotypes of the κ-CN gene were significantly associated with udder circumference (UC), udder width (UW), and teat length left (TLL), with variations observed across different months (p < 0.05). Age at lambing and weight at lambing showed significant associations with milk traits (p < 0.05) and litter weight (p < 0.01). Breed also had significant impacts on certain traits, such as first-month protein percentage, udder width and udder height (p < 0.05).The study employed different prediction methods, including Artificial Neural Network (ANN), Bayesian (BT), and Multiple Regression (MR), to assess the accuracy of predicting milk yield. The ANN method exhibited the highest correlation coefficient (r value) of 0.84, indicating the strongest predictive accuracy for milk yield. The BT method achieved a correlation coefficient of 0.77, while the MR method had a correlation coefficient of 0.64. Overall, these findings enhance our understanding of the genetic factors influencing milk composition traits in Harnali and Munjal sheep. The study highlights the potential implications for selective breeding and management practices in the sheep industry, aiming to improve milk yield and composition through genetic selection. Student Major Advisor Head
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    ThesisItemOpen Access
    Association of polymorphism in β- LG and κ-CN genes with milk composition traits in Harnali and Munjal Sheep
    (2023-06) Deepak; Magotra, Ankit
    The present study aimed to investigate the association of polymorphisms in the β-LG and κ- CN genes with milk and udder conformation traits in Harnali and Munjal sheep breeds. A total of 105 Harnali and 34 Munjal sheep were included in the study, and blood samples were collected for DNA isolation and genetic profiling.For the β-LG gene, genotype frequencies in Harnali were 54% (AA), 34% (AB), and 12% (BB), with corresponding allele frequencies of 71% (A) and 29% (B). In Munjal, genotype frequencies were 35% (AA), 24% (AB), and 41% (BB), with allele frequencies of 47% (A) and 53% (B). Combined analysis of both breeds showed genotype frequencies of 51% (AA), 32% (AB), and 16% (BB), with allele frequencies of 67% (A allele) and 33% (B allele).For the κ-CN gene, genotype frequencies in Harnali were 74% (AA), 5% (AB), and 20% (BB), with allele frequencies of 0.77 (A) and 0.23 (B). In Munjal, targeted loci revealed a monomorphic banding pattern, indicating limited genetic variability.The study found that the AA genotype of the β-LG gene was associated with a decline in milk yields over the four-month period, while the AB genotype showed consistent milk yields, and the BB genotype exhibited an increasing trend. The AA genotype had the lowest milk yields, while the AB genotype had the highest total milk yield (p < 0.05). The AA genotype also showed a gradual increase in fat percentage over the four-month period, while the AB and BB genotypes had relatively consistent fat percentages. Protein percentages showed an increasing trend in the AA genotype, while the AB and BB genotypes had similar protein percentages (p < 0.05). The SNF content varied among genotypes, with the AA genotype showing fluctuations. Density values and lactose percentages showed slight variations among genotypes (p < 0.05).Regarding udder conformation traits, the genotype of the β-LG gene had a significant effect, but the significance varied across different months. The κ-CN gene genotype showed a significant influence on both monthly milk yield and total milk yield, as well as a significant association with fat percentage for the AA and BB genotypes. The AA genotype exhibited increasing fat percentages over the four-month period, while the BB genotype had higher fat percentages overall. The genotypes of the κ-CN gene were significantly associated with udder circumference (UC), udder width (UW), and teat length left (TLL), with variations observed across different months (p < 0.05). Age at lambing and weight at lambing showed significant associations with milk traits (p < 0.05) and litter weight (p < 0.01). Breed also had significant impacts on certain traits, such as first-month protein percentage, udder width and udder height (p < 0.05).The study employed different prediction methods, including Artificial Neural Network (ANN), Bayesian (BT), and Multiple Regression (MR), to assess the accuracy of predicting milk yield. The ANN method exhibited the highest correlation coefficient (r value) of 0.84, indicating the strongest predictive accuracy for milk yield. The BT method achieved a correlation coefficient of 0.77, while the MR method had a correlation coefficient of 0.64. Overall, these findings enhance our understanding of the genetic factors influencing milk composition traits in Harnali and Munjal sheep. The study highlights the potential implications for selective breeding and management prac
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    ThesisItemOpen Access
    Detection of polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits in indigenous goats
    (LUVAS, 2019) Vikram jeet; Magotra, Ankit
    The present study was conducted on randomly selected 84Beetal goat, 47 Jakhrana goat and 62 indigenous goat breeds(from farmers flock) to scan the polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits. Two sets of primers were used to amplify targeted regions of Kiss1 and GDF9 gene in Beetal, Jakhrana and field goat samples. The PCR product of 242 bp size of targeted region of Kiss1 gene was digested with the restriction enzyme Sac1. All the three possible genotypes were observed in our resource population. Frequency of C allele of Kiss1 gene was higher in our studied population goats i.e. 0.89 in Beetal, 0.86 in Jakhrana and 0.73 in field samples. CC genotype was found to be the predominant genotype Beetal (0.81), Jakhrana (0.72) and goats at farmers flock (0.51). The 1069 bp PCR product of GDF9 gene was digested with the DdeI enzyme, resolved into monomorphic pattern AA in field samples but three polymorphic patterns of AA, AB and BB types in Beetal goat and two genotype in Jakhrana goat. The genotypic and allelic frequencies of GDF9 gene indicated that the frequency of A allele was highest in Beetal (0.86), Jakhrana (0.98) and goats at farmers flock (1.00). Effect of Kiss 1 genotype was non-significant in all growth and reproductive traits except 12M body weight in Beetal goats. CC genotype was having significant higher (P<0.05) 12M body weight (22.57) than CT genotype (19.64). In field samples, CT genotype had significant association with litter size. CT and TT genotypes had significantly higher litter size (P<0.01) than CC genotype indicating that allele T was associated with higher litter size. Effect of GDF 9 genotype was non-significant in all growth and reproductive traits except litter size in Beetal goats. AB genotyped Beetal goats showed significantly (P<0.05) highest average litter size 1.592±0.07 compared to AA genotype 1.139±0.05 indicating that allele B was associated with higher litter size. Breed-wise distribution of field samples revealed that Barbari goats showed significantly higher average litter size (2.857±0.11) compared to Beetal, Non-descript, Sirohi and Sojat goat breeds under study (P<0.01). The frequency of CT and TT genotype is also comparatively higher in Barbari goats. In Beetal goat, combined genotypes i.e ABCC (1.67±0.086) and ABCT (1.45±0.141) significantly revealed highest average litter size compared to other genotypes. (P<0.01).These observations on SNPs of Kiss1 and GDF9 gene and their association with growth and reproduction traits can be utilized as a marker after validation of results on large population.
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    ThesisItemUnknown
    Detection of polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits in indigenous goats
    (LUVAS, 2019) Vikram Jeet; Magotra, Ankit
    The present study was conducted on randomly selected 84Beetal goat, 47 Jakhrana goat and 62 indigenous goat breeds(from farmers flock) to scan the polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits. Two sets of primers were used to amplify targeted regions of Kiss1 and GDF9 gene in Beetal, Jakhrana and field goat samples. The PCR product of 242 bp size of targeted region of Kiss1 gene was digested with the restriction enzyme Sac1. All the three possible genotypes were observed in our resource population. Frequency of C allele of Kiss1 gene was higher in our studied population goats i.e. 0.89 in Beetal, 0.86 in Jakhrana and 0.73 in field samples. CC genotype was found to be the predominant genotype Beetal (0.81), Jakhrana (0.72) and goats at farmers flock (0.51). The 1069 bp PCR product of GDF9 gene was digested with the DdeI enzyme, resolved into monomorphic pattern AA in field samples but three polymorphic patterns of AA, AB and BB types in Beetal goat and two genotype in Jakhrana goat. The genotypic and allelic frequencies of GDF9 gene indicated that the frequency of A allele was highest in Beetal (0.86), Jakhrana (0.98) and goats at farmers flock (1.00). Effect of Kiss 1 genotype was non-significant in all growth and reproductive traits except 12M body weight in Beetal goats. CC genotype was having significant higher (P<0.05) 12M body weight (22.57) than CT genotype (19.64). In field samples, CT genotype had significant association with litter size. CT and TT genotypes had significantly higher litter size (P<0.01) than CC genotype indicating that allele T was associated with higher litter size. Effect of GDF 9 genotype was non-significant in all growth and reproductive traits except litter size in Beetal goats. AB genotyped Beetal goats showed significantly (P<0.05) highest average litter size 1.592±0.07 compared to AA genotype 1.139±0.05 indicating that allele B was associated with higher litter size. Breed-wise distribution of field samples revealed that Barbari goats showed significantly higher average litter size (2.857±0.11) compared to Beetal, Non-descript, Sirohi and Sojat goat breeds under study (P<0.01). The frequency of CT and TT genotype is also comparatively higher in Barbari goats. In Beetal goat, combined genotypes i.e ABCC (1.67±0.086) and ABCT (1.45±0.141) significantly revealed highest average litter size compared to other genotypes. (P<0.01).These observations on SNPs of Kiss1 and GDF9 gene and their association with growth and reproduction traits can be utilized as a marker after validation of results on large population.
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    ThesisItemOpen Access
    Detection of polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits in indigenous goats
    (LUVAS, 2019) Vikram jeet; Magotra, Ankit
    The present study was conducted on randomly selected 84Beetal goat, 47 Jakhrana goat and 62 indigenous goat breeds(from farmers flock) to scan the polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits. Two sets of primers were used to amplify targeted regions of Kiss1 and GDF9 gene in Beetal, Jakhrana and field goat samples. The PCR product of 242 bp size of targeted region of Kiss1 gene was digested with the restriction enzyme Sac1. All the three possible genotypes were observed in our resource population. Frequency of C allele of Kiss1 gene was higher in our studied population goats i.e. 0.89 in Beetal, 0.86 in Jakhrana and 0.73 in field samples. CC genotype was found to be the predominant genotype Beetal (0.81), Jakhrana (0.72) and goats at farmers flock (0.51). The 1069 bp PCR product of GDF9 gene was digested with the DdeI enzyme, resolved into monomorphic pattern AA in field samples but three polymorphic patterns of AA, AB and BB types in Beetal goat and two genotype in Jakhrana goat. The genotypic and allelic frequencies of GDF9 gene indicated that the frequency of A allele was highest in Beetal (0.86), Jakhrana (0.98) and goats at farmers flock (1.00). Effect of Kiss 1 genotype was non-significant in all growth and reproductive traits except 12M body weight in Beetal goats. CC genotype was having significant higher (P<0.05) 12M body weight (22.57) than CT genotype (19.64). In field samples, CT genotype had significant association with litter size. CT and TT genotypes had significantly higher litter size (P<0.01) than CC genotype indicating that allele T was associated with higher litter size. Effect of GDF 9 genotype was non-significant in all growth and reproductive traits except litter size in Beetal goats. AB genotyped Beetal goats showed significantly (P<0.05) highest average litter size 1.592±0.07 compared to AA genotype 1.139±0.05 indicating that allele B was associated with higher litter size. Breed-wise distribution of field samples revealed that Barbari goats showed significantly higher average litter size (2.857±0.11) compared to Beetal, Non-descript, Sirohi and Sojat goat breeds under study (P<0.01). The frequency of CT and TT genotype is also comparatively higher in Barbari goats. In Beetal goat, combined genotypes i.e ABCC (1.67±0.086) and ABCT (1.45±0.141) significantly revealed highest average litter size compared to other genotypes. (P<0.01).These observations on SNPs of Kiss1 and GDF9 gene and their association with growth and reproduction traits can be utilized as a marker after validation of results on large population
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    ThesisItemUnknown
    Detection of SNP in Leptin Gene and its association with performance traits in Dairy Cattle
    (LUVAS, 2019) Yadav, Tejwanti; Ramesh Kumar
    The present study was conducted on 81Hardhenu and 38 Sahiwal cattle maintained at Cattle breeding farm, Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, to screen genomic region of leptin gene with an objective to find the association of genotypes with performance traits. The association analysis with performance traits were analyzed by least squares analysis of variance by taking SNPs genotype as fixed effects in the statistical model. The genotypic and allelic frequencies g.92450765 G>A indicated that A (0.52) allele was highest in Hardhenu and G (0.54) allele was predominant in Sahiwal cattle. Chi-squared tests showed that g.92450765 G>A SNP did not meet with the Hardy–Weinberg equilibrium (p<0.01) in both breeds. The association between different genotypes of A92450765G SNP of leptin gene and performance traits in Hardhenu cattle revealed significant association (p<0.05) with first lactation total milk yield and 305 days milk yield (P<0.05). First parity Service period and calving interval also revealed significant association with genotypes (P<0.05). Days in milk, Dry days, AFC did not reveal any significant association with genotype. However, no significant association observed in 2nd, 3rd lactation and parity traits under study because of small sample size. The GG and AG genotypes were associated with higher milk yields during 1st, lactation as compared with AA genotype, indicating that allele G was associated with superior milk performance. In Sahiwal cattle trait under study did not showed significant association with identified genotypes (P>0.05) because of small sample size. However, GG genotype having highest mean value of TMY and 305 milk yield as compared to AA and AB genotype. Similarly, AA genotype comparatively revealed lower mean value for SP and CI. Chi square () analysis revealed that genetic variants of both SNPs i.e. A92450765G SNP of Leptin gene differ significantly with regard to reproductive disorders incidence (p<0.01) in our resource population. The animals with GG genotype were found to be more susceptible to reproductive disorders as suggested by the higher odd ratio value (16.00). The frequency of GG genotype (88.89%) in the affected animal group was very high in population under study Association of SNPs markers with A.I per conception The different genotypes of A92450765G SNP in revealed significant association (P<0.01) with Service per conception. AA genotype found to be more favorable w.r.t A.I /conception. However, validation of results on large number of samples is need to be warranted.
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    ThesisItemOpen Access
    Detection of polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits in indigenous goats
    (LUVAS, 2019) Vikram jeet; Magotra, Ankit
    The present study was conducted on randomly selected 84Beetal goat, 47 Jakhrana goat and 62 indigenous goat breeds(from farmers flock) to scan the polymorphism in Kiss1 and GDF9 gene and its association with growth and reproduction traits. Two sets of primers were used to amplify targeted regions of Kiss1 and GDF9 gene in Beetal, Jakhrana and field goat samples. The PCR product of 242 bp size of targeted region of Kiss1 gene was digested with the restriction enzyme Sac1. All the three possible genotypes were observed in our resource population. Frequency of C allele of Kiss1 gene was higher in our studied population goats i.e. 0.89 in Beetal, 0.86 in Jakhrana and 0.73 in field samples. CC genotype was found to be the predominant genotype Beetal (0.81), Jakhrana (0.72) and goats at farmers flock (0.51). The 1069 bp PCR product of GDF9 gene was digested with the DdeI enzyme, resolved into monomorphic pattern AA in field samples but three polymorphic patterns of AA, AB and BB types in Beetal goat and two genotype in Jakhrana goat. The genotypic and allelic frequencies of GDF9 gene indicated that the frequency of A allele was highest in Beetal (0.86), Jakhrana (0.98) and goats at farmers flock (1.00). Effect of Kiss 1 genotype was non-significant in all growth and reproductive traits except 12M body weight in Beetal goats. CC genotype was having significant higher (P<0.05) 12M body weight (22.57) than CT genotype (19.64). In field samples, CT genotype had significant association with litter size. CT and TT genotypes had significantly higher litter size (P<0.01) than CC genotype indicating that allele T was associated with higher litter size. Effect of GDF 9 genotype was non-significant in all growth and reproductive traits except litter size in Beetal goats. AB genotyped Beetal goats showed significantly (P<0.05) highest average litter size 1.592±0.07 compared to AA genotype 1.139±0.05 indicating that allele B was associated with higher litter size. Breed-wise distribution of field samples revealed that Barbari goats showed significantly higher average litter size (2.857±0.11) compared to Beetal, Non-descript, Sirohi and Sojat goat breeds under study (P<0.01). The frequency of CT and TT genotype is also comparatively higher in Barbari goats. In Beetal goat, combined genotypes i.e ABCC (1.67±0.086) and ABCT (1.45±0.141) significantly revealed highest average litter size compared to other genotypes. (P<0.01).These observations on SNPs of Kiss1 and GDF9 gene and their association with growth and reproduction traits can be utilized as a marker after validation of results on large population.
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    ThesisItemUnknown
    Genetic studies on growth, Production and reproduction traits of synthetic broiler dam line
    (LUVAS, 2017) Kapishwar; Ramesh Kumar
    The data over 8 generations collected from the record of broiler dam line maintained in the Department of Animal Genetics & Breeding, LUVAS, Hisar was analyzed to estimate genetic and phenotypic parameters and response to selection in broiler for growth, production and reproduction traits. Generation and hatch effect was significant (P≤0.01) on all the growth, production and reproduction traits except BW6. Least squares means of BW6, BW20, BW40, AFE, EW40, EN40, EM40, CS, PS, PF, hatchability (TES) and hatchability (FES) pooled over generations were 832.81±4.80, 2314.24±23.33, 2912.49±30.31, 147.89±0.77, 53.18±0.21, 79.37±0.64, 4220.67±35.74, 2.74±0.05, 1.97±0.08, 81.04±0.60, 59.65±0.76 and 72.86±0.64 respectively. The heritability of growth traits, production traits and reproduction traits ranged from 014±0.06 to 0.23±0.08, 0.22±0.08 to 0.32±0.11 and 0.15±0.29±0.07 respectively. The heritability estimated from the pooled data over the generations indicated that body weight at 6, 20 and 40 weeks of age were low to moderately heritable , egg number, egg weight and egg mass up to 40 weeks of age, clutch size and pause size were moderately heritable while age at first egg was low heritable traits. Low to moderate estimates of heritability for growth and production traits and moderate estimates of heritability for reproduction traits indicated that these traits can be improved through family selection. BW6 had positive high association with BW20 (0.46±0.22, 0.52±0.02**) and BW20 also had positive high association with BW40 (0.48±0.21, 0.61±0.02**) both at genetic and phenotypic level. While BW6, BW20 and BW40 had negative association with age at first egg (-0.19±0.29, -0.16±0.28, -0.21±0.27 and -0.10±0.02, - 0.19±0.02, -0.11±0.02) respectively at genetic and phenotypic level. BW6 and BW20 had negative association with EN40, EM40 and CS (-0.21±0.27, -0.19±0.2, -0.24±0.26, -0.23±0.25, -0.21±0.27 and-0.22±0.26) respectively while BW40 had positive association with EN40, EM40 and CS (0.31±0.24, 0.28±0.24 and 0.07±0.27) respectively. BW6 and BW40 had positive correlation with EW40 (0.28±0.27 and 0.03±0.27) respectively and BW20 had negative correlation with EW40 (- 0.32±0.25), BW6 had positive correlation with PS (0.04±0.28) while BW20 and BW40 had negative correlation with PS (- 0.10±0.27 and -0.54±0.21) respectively at genetic level. Age at first egg was negatively associated with egg number (- 0.52±0.23, -0.39±0.02), egg mass (-0.45±0.24,-0.36±0.02) and clutch size (-0.25±0.27, -0.04±0.02) and positively associated with egg weight (0.02±0.28, 0.07±0.03**) and pause size (0.22±0.27, 0.11±0.02**) at genetic and phenotypic level respectively. There existed negative association of egg number with egg weight (-0.44±0.22, -0.01±0.02) and pause size (-0.61±0.20, -0.53±0.02) at genetic and phenotypic level respectively.. Clutch size was negatively associated with pause size (-0.21±0.26, -0.28±0.01) at both genetic as well as phenotypic level. The genetic trend in term of regression of heritability on generation number has been found negative for all body weights i.e BW6 (-0.11±0.05), BW20 (-0.04±0.15) and BW40 (-0.19±0.08). Egg weight (-0.10±0.09), clutch size (-0.04±0.10) and pause size (-0.09±0.13) were also negative while positive trend for age at first egg (0.05±0.04), egg number (0.12±0.04) and egg mass (0.12±0.11) were observed, however, the trends were statistically non-significant. Phenotypic trend as the regression of generation mean on generation number was positive and highly significant (P˂0.01) for body weight at 20 weeks of age (140.06±2.44**). Phenotypic trend were also positive for BW6 (10.69±2.03), BW40 (77.84±156.39), EN40 (7.53±7.59), EM40 (397.19±473.65) and CS (0.14±0.37) while negative for AFE (-6.44±1.67, EW40 (-0.15±0.69) and PS (-0.62±0.49) but statistically non-significant..Maximum direct response observed in egg mass at 40 weeks of age(133.876) and maximum correlated response observed between egg number up to 40 weeks of age and egg mass up to 40 weeks of age(119.465).. The pullets weighing 1900±50 g body weight at 20 weeks of age and start laying at 148 days of age laid more number of egg up to 40 weeks of age.