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Ratwan P, Kumar M, Chakravarty AK. Bayesian approach for assessment of co-variances and genetic parameters of production and reproduction traits in Sahiwal cattle. Trop Anim Health Prod 2024; 56:299. [PMID: 39340732 DOI: 10.1007/s11250-024-04148-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 09/11/2024] [Indexed: 09/30/2024]
Abstract
Precise as well as unbiased estimates of genetic parameters of economically important traits is important for framing breeding programmes meant for genetic progress of dairy animals. Present work was carried out to assess the co-variances along with genetic parameters of production and reproduction traits in Sahiwal cattle with Bayesian approach. Records of Sahiwal cattle kept at ICAR-National Dairy Research Institute, Karnal, Haryana for the period 1988-2016 were used. Heritability estimates ± posterior standard deviation for 305 days' milk yield (305DMY), lactation milk yield (LMY), lactation length (LL), peak yield (PY), days to attain peak yield (DPY), dry period (DP), gestation period (GP), calving to first insemination interval (CFI), days open (DO) and calving interval (CI) as obtained were 0.23 ± 0.03, 0.26 ± 0.03, 0.18 ± 0.03, 0.18 ± 0.03, 0.07 ± 0.02, 0.08 ± 0.02, 0.08 ± 0.02, 0.07 ± 0.02, 0.09 ± 0.02 and 0.02 ± 0.02, respectively and estimates of repeatability for the corresponding traits were 0.23 ± 0.03, 0.26 ± 0.03, 0.21 ± 0.03, 0.21 ± 0.03, 0.12 ± 0.02, 0.14 ± 0.03, 0.16 ± 0.03, 0.16 ± 0.03, 0.17 ± 0.03 and 0.17 ± 0.03. Moderate heritability values for 305DMY and LMY implies that sufficient additive genetic variability is available to obtain selection response. Repeatability estimates for 305DMY, LMY and PY were moderate, pointing towards the possibility of early appraisal of Sahiwal cattle for selection. Antagonistic genetic associations were observed between reproduction and production traits suggesting that reproduction traits need due attention while selecting high producing Sahiwal animals.
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Affiliation(s)
- Poonam Ratwan
- Department of Animal Genetics and Breeding, LUVAS, Hisar, Haryana, 125004, India.
- Principal Scientist and Head (Retd.) Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India.
| | - Manoj Kumar
- Department of Animal Genetics and Breeding, LUVAS, Hisar, Haryana, 125004, India
| | - A K Chakravarty
- Principal Scientist and Head (Retd.) Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
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Ampadi AN, Sadeesh EM, Lahamge MS. Mitochondrial DNA D-loop SNPs unveil molecular signatures of milk production variation in Murrah buffalo. Mol Biol Rep 2024; 51:902. [PMID: 39126486 DOI: 10.1007/s11033-024-09830-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND The Murrah buffalo, pivotal in Asian agriculture, faces challenges in maximizing milk production despite significant breeding efforts. Recognizing its economic importance, this study investigates mtDNA D-loop variations in Murrah buffalo as potential indicators of milk production variability, addressing challenges in maximizing yield despite significant breeding efforts. METHODS AND RESULTS Analyzing mtDNA D-loop sequences from 50 buffaloes, we categorized them into Low (Group 1), Medium (Group 2), and High ECM (Group 3) groups based on milk yields, fat and protein percentage of a 30-day period data. Somatic cell mtDNA D-loop analysis revealed distinct genetic variations, with significant differences among ECM groups. Group 2 showed higher SNP prevalence, group 3 had more insertions/deletions, and Group 1 exhibited the highest transition frequency. Notably, a consistent "C" deletion at the 714th position occurred in Groups 1 and 3, prevalent in 68% of Group 2. A G-A variation at the 93rd position was specific to the medium ECM group. Negative Tajima D values indicated unique variations in each group, with Group 1 having the highest number, and a specific SNP linked to Group 2 was identified. These SNPs in the D-loop region could impact mtDNA replication, influencing mitochondrial content among animals. Our results provide valuable insights into the role of mtDNA D-loop polymorphisms in milk production traits in Murrah buffalo. CONCLUSIONS Our research highlights the potential for valuable markers of cellular energy efficiency in Murrah buffalo. Exploring diverse cytoplasmic backgrounds opens avenues for mtDNA-based selection strategies, enhancing milk production and optimizing genetic traits for the dairy industry.
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Affiliation(s)
- A N Ampadi
- Laboratory of Mitochondrial Biology of Farm Animals, Animal Biochemistry Division, ICAR- National Dairy Research Institute, Karnal-132001, Haryana, India
| | - E M Sadeesh
- Laboratory of Mitochondrial Biology of Farm Animals, Animal Biochemistry Division, ICAR- National Dairy Research Institute, Karnal-132001, Haryana, India.
| | - Madhuri S Lahamge
- Laboratory of Mitochondrial Biology of Farm Animals, Animal Biochemistry Division, ICAR- National Dairy Research Institute, Karnal-132001, Haryana, India
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Kumar M, Vohra V, Ratwan P, Lathwal SS. Genetic analysis of milk and milk composition traits in Murrah buffaloes using Bayesian inference. Anim Biotechnol 2023; 34:3280-3286. [PMID: 36227584 DOI: 10.1080/10495398.2022.2130797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Accurate and unbiased assessment of genetic parameters of milk and milk composition traits play an important role in formulating breeding program for genetic improvement of Murrah buffaloes. In this study, data spread over 28 years were utilized to estimate genetic parameters of traits viz., 305 d milk yield (305MY), 305 d fat yield (305FY), 305 d solid not fat yield (305SNFY), milk fat percentage (fat%) and solid not fat percentage (SNF) percentage (SNF%) in Murrah buffaloes kept at ICAR-National Dairy Research Institute, Karnal. Bayesian multiple-trait analysis was done using animal model and Gibbs sampling to estimate (co)variance components. Posterior means of heritability and posterior standard deviation for 305MY, 305FY, 305SNFY, fat% and SNF% were 0.18 ± 0.05, 0.17 ± 0.05, 0.18 ± 0.05, 0.07 ± 0.03 and 0.15 ± 0.06 and posterior means of repeatability estimates along with posterior standard deviation for corresponding traits were 0.33 ± 0.04, 0.32 ± 0.04, 0.33 ± 0.04, 0.14 ± 0.02 and 0.30 ± 0.04, respectively. Estimates of genetic correlation varied from -0.080 (305MY and fat %) to 0.999 (305MY and 305SNFY). Permanent environmental correlations varied from -0.060 (305MY and SNF%) to 0.999 (305FY and 305SNFY). This study indicated that all considered traits except fat% have ample genetic variability which can be exploited for selection and genetic improvement of Murrah buffaloes.
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Affiliation(s)
- Manoj Kumar
- Department of Livestock Farm Complex, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Vikas Vohra
- Animal Genetic & Breeding Division, ICAR-National Dairy Research Institute, Karnal, India
| | - Poonam Ratwan
- Department of Animal Genetics & Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - S S Lathwal
- Livestock Production Management Section, ICAR-National Dairy Research Institute, Karnal, India
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Bayesian approach for genetic analysis of production and reproduction traits in Jersey crossbred cattle. ZYGOTE 2022; 30:656-663. [PMID: 35799425 DOI: 10.1017/s0967199422000120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The knowledge of genetic parameters of performance traits is crucial for any breeding programme in dairy animals. The present study was conducted to use a Bayesian approach for estimation of genetic parameters of production and reproduction traits in Jersey crossbred cattle. Data of Jersey crossbred cattle maintained at Eastern Regional Station, National Dairy Research Institute, West Bengal spread over a span of 41 years were utilized. The marginal posterior medians of heritability for 305-day milk yield (305MY), total milk yield (TMY), peak yield (PY), lactation length (LL), calving interval (CI), total milk yield per day of lactation length (TMY/LL) and total milk yield per day of calving interval (TMY/CI) were 0.31 ± 0.07, 0.29 ± 0.07, 0.27 ± 0.06, 0.16 ± 0.05, 0.15 ± 0.05, 0.29 ± 0.06, 0.27 ± 0.06, respectively. Moderate heritability estimates for 305MY, TMY, PY and production efficiency traits indicate the presence of adequate additive genetic variance in these traits to respond to selection combined with better herd management. Repeatability estimates for 305MY, TMY, PY, LL, CI, TMY/LL and TMY/CI were 0.57 ± 0.08, 0.58 ± 0.08, 0.51 ± 0.07, 0.34 ± 0.06, 0.31 ± 0.06, 0.54 ± 0.07 and 0.49 ± 0.07, respectively. Repeatability estimates for 305MY, TMY and PY were high in the current study, suggesting the use of first lactation records for early evaluation of Jersey crossbred cattle for future selection. Genetic correlations varied from 0.21 to 0.97 and maximum genetic correlation was observed between 305MY and TMY indicating that consideration of 305MY instead of TMY in breeding programmes would suffice. Positive genetic correlations of CI with 305MY and TMY indicated the antagonistic association between production and reproduction traits.
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RAJEEV RAJEEV, KUMAR RAVINDER, SINGH RAJBIR, RAJA TV. Effect of non-genetic factors on first lactation production and reproduction traits in Frieswal cattle. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2021. [DOI: 10.56093/ijans.v90i12.113198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The present study was undertaken on first lactation production and reproduction records of 1470 Frieswal cows maintained over a period of 10 years (2003–2012) at two military farms, viz Meerut and Ambala at CIRC, Meerut, Uttar Pradesh. The data were classified according to farm, season, period, and age groups. The overall least squares means of AFC, FL305DMY, FLMY, FLL, FSP, FDP and FCI were 921.35±05.17 days, 2658.57±42.59 kg, 2718.28±44.40 days, 304.15±1.4 days, 163.19±24.75 days, 114.20±5.94 days and 459±8.06 days, respectively. Period had highly significant effect on AFC, FL305YP, FLMY, and FLL, while it had non-significant effect on FSP, FDP and FCI. The effect of season of birth on AFC was statistically non-significant. The average FL305DMY for Meerut farm was 2879.13±41.28 kg while the corresponding estimate for Ambala farm was 2438.02±61.79 kg and the difference was statistically highly significant. The analysis on the effect of season on FL305DMY revealed that the cows calved in summer season had the maximum FL305DMY of 2700.61±57.02 kg followed by the winter (2639.75±50.38 kg) and rainy calvers (2635.37±65.81 kg). The study also revealed that the differences between different seasons were not statistically significant. The least squares analysis revealed that the AFC group had highly significant effect on the FL305DMY.
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KUMAR MANOJ, RATWAN POONAM, DAHIYA SP. Potential candidate gene markers for milk fat in bovines: A review. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2020. [DOI: 10.56093/ijans.v90i5.104601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
In dairy animals, the principal goal of selection is to improve quality and quantity of milk. Genetic information inferred from single nucleotide polymorphism (SNP) primarily linked to Quantitative Trait Loci (QTL) can be used to improve selection for milk and milk constituent traits in bovines. Selection for a marker allele known to be associated with a beneficial QTL increases the frequency of that allele and hence, dairy performance can be enhanced. One of the potential benefit of selection based on molecular marker is that the marker genotypes can be determined in a dairy animal just after birth. Thus, marker information can be used to predict an animal's genotype before its actual performance recording for a trait is available, which considerably reduces generation interval and thus improves genetic gain in a herd for milk and its constituent traits. This review article is an attempt to comprehend the idea behind marker based selection for milk fat and genes regulating milk fat with significant effects that can be targeted specifically in selection of superior dairy animals. Once an association is established, itcan be utilized in a marker assisted breeding program for improvement of bovines.
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Ahlawat S, Arora R, Sharma U, Sharma A, Girdhar Y, Sharma R, Kumar A, Vijh RK. Comparative gene expression profiling of milk somatic cells of Sahiwal cattle and Murrah buffaloes. Gene 2020; 764:145101. [PMID: 32877747 DOI: 10.1016/j.gene.2020.145101] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 08/18/2020] [Accepted: 08/25/2020] [Indexed: 01/31/2023]
Abstract
India is the world's largest milk producing country because of massive contribution made by cattle and buffaloes. In the present investigation, comprehensive comparative profiling of transcriptomic landscape of milk somatic cells of Sahiwal cattle and Murrah buffaloes was carried out. Genes with highest transcript abundance in both species were enriched for biological processes such as lactation, immune response, cellular oxidant detoxification and response to hormones. Analysis of differential expression identified 377 significantly up-regulated and 847 significantly down-regulated genes with fold change >1.5 in Murrah buffaloes as compared to Sahiwal cattle (padj <0.05). Marked enrichment of innate and adaptive immune response related GO terms and higher expression of genes for various host defense peptides such as lysozyme, defensin β and granzymes were evident in buffaloes. Genes related to ECM-receptor interaction, complement and coagulation cascades, cytokine-cytokine receptor interaction and keratinization pathway showed more abundant expression in cattle. Network analysis of the up-regulated genes delineated highly connected genes representing immunity and haematopoietic cell lineage (CBL, CD28, CD247, PECAM1 and ITGA4). For the down-regulated dataset, genes with highest interactions were KRT18, FGFR1, GPR183, ITGB3 and DKK3. Our results lend support to more robust immune mechanisms in buffaloes, possibly explaining lower susceptibility to mammary infections as compared to cattle.
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Affiliation(s)
- Sonika Ahlawat
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - Reena Arora
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India.
| | - Upasna Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - Anju Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - Yashila Girdhar
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - Rekha Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - Ashish Kumar
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
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KUMAR MANOJ, DAHIYA SP, RATWAN POONAM, KUMAR SUNIL, CHITRA ANIL. Status, constraints and future prospects of Murrah buffaloes in India. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2020. [DOI: 10.56093/ijans.v89i12.96616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
In the present review, an attempt has been made to explore Murrah buffalo, an important milch breed for its performance, genetic parameters, constraints and future scenario. In India, price of milk is decided on basis of fat percentage and buffalo milk fetches more money compared to cow milk to dairy farmers. Production and reproduction performances are among most important considerations to determine the profitability of any dairy farm. The production, reproduction and functional traits of Murrah buffaloes as reported by different workers at different organized farm were reviewed. Literature revealed that the 305-days lactation milk yield, 305-days lactation fat yield, 305-days lactation SNF yield, 305-days lactation total solid yield, peak yield, Fat %, SNF %, lactation length, dry period, age at first calving, service period, conception rate, pregnancy rate and calving interval varied from 1365±03 to 2086.17±44.66 kg, 118.3 to 167.38±4.46 kg,185.5±3.4 to 198.88±5.05 kg, 336.2±6.1 to 360.61±9.25 kg, 9.96 to 11.13±0.44 kg, 6.84% to 8.17%, 9.36% to 9.76%, 267.15 to 321.62 days,121.68 to 250.5 days, 1202 to 1618.83 days, 135.79 to 308 days, 68.80%, and 428.30 to 559.6 days, respectively in Murrah buffaloes. Heritability and repeatability estimates for the production, 38% reproduction and functional traits of Murrah buffaloes were also reviewed. Breeding, feeding, health and housing management practices have much impact on production and reproduction performance of animals and ultimately influence the economy of dairy farmers. Constraints in all these aspects are the obstacles to implement better animal husbandry practices in dairy animals and these should be overcome by taking suitable measures.
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SATHWARA RN, GUPTA JP, CHAUDHARI JD, PRAJAPATI BM, SRIVASTAVA AK, CHAUHAN HD, PATEL PA. Sire evaluation models for estimating breeding values of Mehsana buffaloes. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2019. [DOI: 10.56093/ijans.v89i4.89148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
First lactation data on 7,782 Mehsana buffaloes sired by 184 sires maintained at Dudhsagar Research and Development Association, Dudhsagar Dairy, Mehsana over a period of 24 years (1989–2012) were used to estimate least-squares means (LSM) and breeding value of the first lactation fat yield (FLFY) and average fat percentage (AFP) using univariate and bivariate models with the help of WOMBAT software. The effectiveness of different sire evaluation models using FLFY and AFP were compared on the basis of error variance, coefficient of determination (CV%), R2-value, AIC, BIC and Spearman’s rank correlation. The average estimate of FLFY and AFP was 135.04±0.57 kg and 7.11±0.11% in Mehsana buffaloes. These estimates were significantly affected by period and season of calving, and age at first calving group. The average expected breeding value of Mehsana buffalo bulls for FLFY and AFP were 133.24 kg and 7.14% using sire model (BLUP-SM), 135.71 kg and 7.22% using univariate animal model (BLUP-U-AM) and 133.23 kg and 7.14% from bivariate animal model (BLUP-B-AM), respectively for FLFY and AFP. The spearman’s rank correlation indicated similarity of rankings by BLUP-U-AM and BLUPB- AM. Animal model had a wider range of breeding values indicating the greater differentiating ability of the model. Based on error variance, AIC, BIC, R2 and CV; animal model was found to be superior in comparison to sire model.
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