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Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar

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2012 - 201931
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Subject: Animal Genetics and Breeding × End date: 2019 × Start date: 2010 ×
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Now showing 1 - 9 of 31
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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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    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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    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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    ThesisItemOpen Access
    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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    ThesisItemOpen Access
    Genetic evaluation of economic traits in different generations of synthetic white leghorn strain
    (LUVAS, 2018) Manjeet; Dalal, D.S.
    The data collected from records (2012-13 to 2016-17) of white leghorn strain maintained at the poultry farm of department of Animal Genetics and Breeding, LUVAS, Hisar were analysed to estimate genetic and phenotypic parameters, to estimate and study relationship between sire’s breeding values of various economic traits and to predict 40 weeks egg production from part period egg production and early performance. The effect of generation and hatch with in generation were significant (P<0.01) on BW20, BW40, AFE, EW40, EM40, EPP1 EPP2, EPP3, EPP4, EP24, EP28, EP32, EP36 and EP40 respectively. The pooled means for BW20, BW40, AFE, EW40, EM40, EPP1, EPP4, EP24, EP28, EP32, EP36 and EP40 were observed as 1360.43±7.34 g, 1733.25±12.16 g, 149.90±1.09 days, 52.27±0.27 g, 4269.18±69.26 g, 16.84±0.60 eggs, 20.34±0.27 eggs, 19.15±0.27 eggs, 17.86±0.63 eggs, 7.64±0.76 eggs, 24.47±1.06 eggs, 44.81±1.22 eggs, 63.95±1.44 eggs and 81.79±1.51 eggs, respectively. The heritability estimates for pooled data were observed as 0.45±0.13, 0.42±0.12, 0.28±0.08, 0.43±0.12, 0.32±0.11, 0.46±0.12, 0.31±0.11, 0.28±0.10, 0.38±0.11, 0.31±0.11, 0.42±0.13, 0.45±0.13, 0.45±0.12 and 0.45±0.13 for BW20, BW40, AFE, EW40, EM40, EPP1, EPP2, EPP3, EPP4, EP24, EP28, EP32, EP36 and EP40, respectively. The genetic and phenotypic correlations of BW20 were negative with age at first egg (AFE). The genetic and phenotypic correlations of body weight at 20 weeks of age with BW40 were significant and high in magnitude (0.67±0.40 and 0.59**±.02, respectively), however with EW4o and EM40 the correlations were positive with low in magnitude,EPP1had moderate genetic (0.46±0.17) and phenotypic (0.25**±.02) correlation with EPP2, while the EPP3 these were moderate at genetic scale (0.37±0.19) and low at phenotypic scale (0.12*±.02). EPP4 had negligible genetic and phenotypic correlations with EPP1. EPP3 had high positive genetic correlation with EP24, however, the correlation on phenotypic scale was negligible. Genetic and phenotypic correlations of EPP3 with EP28 were low positive; with EP32 were moderate positive, whereas the corresponding correlations with EP36 and EP40 were high positive. The expected direct response for performance traits were 26.85g, 46.86 g, 1.39 d, 0.44g and 66.97 for BW20, BW40, AFE, EW40 and EM40, respectively. For part egg production traits direct response ranged from0.39 (EPP3) to o.57 (EPP4) eggs, whereas, corresponding direct response for cumulative part egg production traits ranged from 0.65 (EP25) to 1.58 (EP40) eggs. The phenotypic trend of all other production, part egg production and cumulative part egg production showed positive trend. The product moment and rank correlations between sires’ EBVs for BW20 with those of BW40 were high positive and significant i.e. 0.62** and 0.64**, respectively. The product moment and rank correlations between sires’ EBVs for EP24 (Egg production upto 24 weeks of age) with all other part cumulative egg production traits were found to be positive significant with high magnitude. The product moment and rank correlation of performance traits are negligible with part egg production and cumulative part egg production traits. The sires’ EBVs for EPP3 and EPP4 had moderate to high positive product moment correlations with sires’ EBVs for all part cumulative egg production traits whereas the corresponding correlations of EPP1 with these traits were positive with low to moderate in magnitude. The prediction equations were developed by using stepwise regression procedure for estimation of 40 week egg production based on performance, part egg production and cumulative part egg production traits. Prediction equation for 40 weeks egg production showed highest coefficient of determination (90%), when only EP36 was entered in the prediction equation
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    ThesisItemOpen Access
    Genetic evaluation of economic traits in different generations of synthetic White leghorn strain
    (LUVAS, 2018) Manjeet; Dalal, D.S
    The data collected from records (2012-13 to 2016-17) of white leghorn strain maintained at the poultry farm of department of Animal Genetics and Breeding, LUVAS, Hisar were analysed to estimate genetic and phenotypic parameters, to estimate and study relationship between sire’s breeding values of various economic traits and to predict 40 weeks egg production from part period egg production and early performance. The effect of generation and hatch with in generation were significant (P<0.01) on BW20, BW40, AFE, EW40, EM40, EPP1 EPP2, EPP3, EPP4, EP24, EP28, EP32, EP36 and EP40 respectively. The pooled means for BW20, BW40, AFE, EW40, EM40, EPP1, EPP4, EP24, EP28, EP32, EP36 and EP40 were observed as 1360.43±7.34 g, 1733.25±12.16 g, 149.90±1.09 days, 52.27±0.27 g, 4269.18±69.26 g, 16.84±0.60 eggs, 20.34±0.27 eggs, 19.15±0.27 eggs, 17.86±0.63 eggs, 7.64±0.76 eggs, 24.47±1.06 eggs, 44.81±1.22 eggs, 63.95±1.44 eggs and 81.79±1.51 eggs, respectively. The heritability estimates for pooled data were observed as 0.45±0.13, 0.42±0.12, 0.28±0.08, 0.43±0.12, 0.32±0.11, 0.46±0.12, 0.31±0.11, 0.28±0.10, 0.38±0.11, 0.31±0.11, 0.42±0.13, 0.45±0.13, 0.45±0.12 and 0.45±0.13 for BW20, BW40, AFE, EW40, EM40, EPP1, EPP2, EPP3, EPP4, EP24, EP28, EP32, EP36 and EP40, respectively. The genetic and phenotypic correlations of BW20 were negative with age at first egg (AFE). The genetic and phenotypic correlations of body weight at 20 weeks of age with BW40 were significant and high in magnitude (0.67±0.40 and 0.59**±.02, respectively), however with EW4o and EM40 the correlations were positive with low in magnitude,EPP1had moderate genetic (0.46±0.17) and phenotypic (0.25**±.02) correlation with EPP2, while the EPP3 these were moderate at genetic scale (0.37±0.19) and low at phenotypic scale (0.12*±.02). EPP4 had negligible genetic and phenotypic correlations with EPP1. EPP3 had high positive genetic correlation with EP24, however, the correlation on phenotypic scale was negligible. Genetic and phenotypic correlations of EPP3 with EP28 were low positive; with EP32 were moderate positive, whereas the corresponding correlations with EP36 and EP40 were high positive. The expected direct response for performance traits were 26.85g, 46.86 g, 1.39 d, 0.44g and 66.97 for BW20, BW40, AFE, EW40 and EM40, respectively. For part egg production traits direct response ranged from0.39 (EPP3) to o.57 (EPP4) eggs, whereas, corresponding direct response for cumulative part egg production traits ranged from 0.65 (EP25) to 1.58 (EP40) eggs. The phenotypic trend of all other production, part egg production and cumulative part egg production showed positive trend. The product moment and rank correlations between sires’ EBVs for BW20 with those of BW40 were high positive and significant i.e. 0.62** and 0.64**, respectively. The product moment and rank correlations between sires’ EBVs for EP24 (Egg production upto 24 weeks of age) with all other part cumulative egg production traits were found to be positive significant with high magnitude. The product moment and rank correlation of performance traits are negligible with part egg production and cumulative part egg production traits. The sires’ EBVs for EPP3 and EPP4 had moderate to high positive product moment correlations with sires’ EBVs for all part cumulative egg production traits whereas the corresponding correlations of EPP1 with these traits were positive with low to moderate in magnitude. The prediction equations were developed by using stepwise regression procedure for estimation of 40 week egg production based on performance, part egg production and cumulative part egg production traits. Prediction equation for 40 weeks egg production showed highest coefficient of determination (90%), when only EP36 was entered in the prediction equation
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    ThesisItemOpen Access
    Genetic evaluation of performance traits in harnali sheep using different models
    (LUVAS, 2018) LALIT; Malik, Z.S
    The 20 years (1997-2016) data of growth, reproduction and wool traits of a synthetic population of Harnali sheep developed by inter-se mating of half-breds of Corriedale and Russian Merino with Nali maintained at Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar were utilized for the present study. The overall least squares mean for birth weight (BW), weaning weight (WW), six month body weight (SMW), one year body weight (YBW), age at first lambing (AFL), weight at lambing (WL), average lambing interval (ALI), grease fleece weight (GFW), staple length (SL), fibre diameter (FD) and medullation percentage (MP) were 3.26 kg, 12.85 kg, 16.96 kg, 24.13 kg, 736.42 days, 29.37 kg, 373.42 days, 1746.89 gm, 5.64 cm, 25.22 μ and 26.68 %, respectively. The effect of period of birth, sex of lamb and dam‟s weight at lambing were significant for all the growth traits under study. The effect of period of birth, dam‟s weight at lambing were significant for all the reproduction and wool traits The heritability estimates for growth traits were moderate to high, low for reproduction traits and moderate to high for wool traits. The average breeding values of Harnali sire using dfferent univariate, bivarate and multivariate animal models (Wombat, 2005) were estimated as 3.28 kg, 12.91 kg, 17.02 kg , 24.14 kg, 736.24 days, 28.43 kg, 1759.81 gm. 5.09 cm, 25.34 μ and 26.67 % for BW, WW, SMW, YBW, AFL, WFL, ALI GFW, SL, FD and MP respectively. Criteria of comparison of different models showed that multivariate model have higher value of coefficient of determination (R2value) and lowest Sum of squares due to error (MSSE), Akaike information criterion (AIC), Bayesian information criterion (BIC) and Log L value which indicated that multivariate animal model is more accurate than other models. Keeping in view the high heritability of SMW and its favourable correlations with body weights at later ages and grease fleece weight, it is concluded that selection on the basis of SMW would be the best approach to improve growth and wool production in Harnali sheep.
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    ThesisItemOpen Access
    Studies on production performance traits and their association with genetic variants of CACNA2D1 gene in Hardhenu cattle
    (LUVAS, 2018) Kapil Dev; Dhaka, S.S.
    The present study was conducted on 862 crossbred cows maintained at Cattle Breeding Farm, Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana over a period of 20 years from 1997 to 2016. In addition to this, a total of 40 animals were also screened for the presence of polymorphism in genomic region of CACNA2D1 genes with an objective to find the association of different genotypes with the production traits. The overall least -squares means for lactation milk yield (LMY), lactation milk yield-305 (LMY-305), lactation length (LL), peak yield (PY), average daily milk yield (AMY), milk yield per day of calving interval (MCI), milk yield per day of age at second calving (MSC) persistency, age at first calving (AFC), service period (S.P), calving interval (CI) and dry period (DP) were 3111.81± 110.17 kg, 2929.45±90.63 kg, 310.57±6.48 days, 14.65±0.48 kg/day, 9.92±0.24 kg/day, 7.80±0.23 kg/day, 1.93±0.07 kg/day, 208.94±5.86 days, 1235.22±19.53 days, 113.85±4.55 days, 401.65±5.53 days and 87.19±4.08 days, respectively. The overall least-squares means for different test day milk records were 8.11±0.24 kg/day, 11.65±0.28 kg/day, 13.95±0.28 kg/day, 12.51±0.25 kg/day, 11.39±0.21 kg/day, 10.23±0.18 kg/day, 9.10±0.17 kg/day, 8.32±0.16 kg/day, 7.34±0.13 kg/day and 6.33±0.11 kg/day for TD1 to TD10, respectively. With regard to production performance traits, the effect of period of calving was statistically significant on all the production performance traits except on AFC, SP, CI and DP. While, the effect of season of calving was non-significant on all the production performance traits except significant effect on AFC, SP, CI and DP. The effect of parity was statistically significant on all the traits except on LL, PY, SP and CI. The heritability estimates for various production performance traits were found to be low to high ranging from 0.04±0.01 (SP) to 0.50±0.12 (MSC) and for test day milk records it ranged from 0.32±0.17 (TD8) to 0.47± 0.16 (TD4). The positive and high genetic association among production performance and with test day milk records indicated that test day milk records could successfully be utilized for genetic evaluation of sires for FLMY. The average EBVs for production traits viz. LMY, LMY-305, LL, PY, AMY, MCI, MSC, Persistency, AFC, SP, CI and DP were obtained as 2408.57 kg, 2257.0 kg, 297.92 days, 14.58 kg/day, 7.93 kg/day, 5.96 kg/day, 1.48 kg/day, 162.87 days, 1243.17 days, 120.09 days, 404.82 days and 101.74 days, respectively. The average EBVs for test day milk records viz. TD1 to TD10 were obtained as 8.17 kg/day, 11.61 kg/day, 13.92 kg/day, 12.52 kg/day, 11.22 kg/day, 9.90 kg/day, 8.58 kg/day, 7.22 kg/day, 6.16 kg/day and 4.42 kg/day, respectively. Spearman‟s rank and product-moment correlations between EBVs of FLMY, MSC, AFC and FCI from multivariate animal model in combination with TD3 showed that multivariate animal model combinations viz. FLMY-MSC-AFC-TD3, FLMY-FCI-AFC-TD3 and FLMY-MSC-FCI-TD3 had positive, high and significant rank and product-moment correlations between EBVs for various models. The error variance was found the lowest for FLMY-FCI-AFC-TD3 combination. Hence, multivariate animal model having FLMY-FCI-AFC-TD3 combination is recommended for estimation of breeding value of first lactation milk yield as this combination not only take care of milk yield but fertility of animals also. Spearman‟s rank and product-moment correlations between EBVs of FLMY, MSC, AFC and FCI from multivariate animal model in combination with TD3 showed that multivariate animal model combinations viz. FLMY-MSC-AFC-TD3, FLMY-FCI-AFC-TD3 and FLMY-MSC-FCI-TD3 had positive, high and significant rank and product-moment correlations between EBVs for various models. The genotypic and allelic frequencies were obtained as GG = 62.5, AA = 5, AG = 32.5 with allelic frequencies of G = 0.79 and A = 0.21 at A38795904G locus meet the Hardy–Weinberg equilibrium (p<0.01). The association between different genotypes of A38795904G SNP of CACNA2D1 gene and production performance traits revealed significant association (p<0.01) with LMY-305 and FLL with the highest value of association of AG genotype with LMY-305 (2986.46±156.10 kg). While, it was the highest for AA genotype with FLL (432.00±31.09 days). So, differential association with two antagonistically associated traits i.e., mastitis incidence and milk production traits can be utilized for simultaneous genetic improvement of the animals once validated on a large sample of animals.