A5020161117- Genetic and phenotypic traits in livestock
- Livestock Management and Performance Improvement
- Agricultural Economics and Practices
- Effects of Environmental Stressors on Livestock
- Agricultural Systems and Practices
- Reproductive Physiology in Livestock
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Cancer-related molecular mechanisms research
- Rangeland Management and Livestock Ecology
- Animal Nutrition and Health
- Livestock and Poultry Management
- Animal Genetics and Reproduction
- Animal Diversity and Health Studies
- Leptospirosis research and findings
- Viral Infectious Diseases and Gene Expression in Insects
- Livestock Farming and Management
- Microbial infections and disease research
- CRISPR and Genetic Engineering
- Agriculture and Biological Studies
- Innovations in Medical Education
- Plant Physiology and Cultivation Studies
- Animal Nutrition and Physiology
- Control Systems and Identification
- Extremum Seeking Control Systems
Southern Illinois University School of Medicine
2024
National Bureau of Animal Genetic Resources
2023-2024
Indian Council of Agricultural Research
2009-2019
National Dairy Research Institute
2006-2017
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
2006
Abstract Background Medical educators who implement problem-based learning (PBL) strive to balance realism and feasibility when simulating patient cases, aiming stimulate collaborative group discussion, engage students’ clinical reasoning, motivate self-directed learning, promote the development of actionable scientific understanding. Recent advances in generative artificial intelligence (AI) offer exciting new potential for simulation PBL Method This study used a between-groups,...
A total of 1,367 first lactation records daughters 81 sires, having 5 or more progeny were used to evaluate sires by 3 different methods viz., least squares (LS), best linear unbiased prediction (BLUP) and derivative free restricted maximum likelihood (DFREML) method.The highest lowest overall average breeding value for 305 days less milk yield was obtained BLUP (1,520.72 kg) LS method (1,502.22kg), respectively.The accuracy, efficiency stability sire evaluation compared judge their...
Abstract Gandhi, R.S., Raja, T.V., Ruhil, A.P. and Kumar, A. 2010. Artificial neural network versus multiple regression analysis for prediction of lifetime milk production in Sahiwal cattle. J. Appl. Anim. Res., 38: 233–237. First lactation records (1493) cows comprising age at first calving, 305-d or less yield, length, service period dry were analyzed to predict the using (MRA) artificial (ANN). The data was divided into three sets i.e. retained herd up parities (set I), 4th 6th II) more...
Summary The Sahiwal cattle, one of the best dairy breeds Zebu cattle in India and Pakistan, originate from Montgomery district Pakistan is distributed on farmer herds certain pockets bordering districts Punjab Rajsthan India. animals this breed are also available Kenya used for crossing with local East African types to improve milk production. have deep body, loose skin, short legs, stumpy horns a broad head pale red dark brown body colour. average weight adult females males around 350 500...
Data consisted of 725 body weights and 330 first lactation records Murrah buffaloes maintained at National Dairy Research Institute, Karnal. The overall least squares means for were 32.63 ± 0.42 kg birth weight, 103.03 1.19 six months 162.67 1.98 twelve 254.92 2.69 eighteen 344.49 3.11 twenty-four weight 418.17 3.36 thirty weight. Least square analysis variance indicated significant (P<0.01) effect season on age, period was having all but traits found to be 1307.18 12.39 days age calving,...
The data on body weights of 780 Sahiwal animals from birth to first calving for a period 47 years (1961–2007) were adjusted significant non-genetic factors (season and period) using least squares analysis the records used subsequent analysis. season had no effect weight, at 24 months age, 30 age weight calving. Body 12 was significantly influenced (P 0.05) by highly ≤ 0.01) 6 18 weights. influence all variance showed regression 6, 12, 18, in cattle. heritability estimates were: 0.13 ± 0.06,...
The random regression test-day models can accelerate the genetic improvement of Sahiwal cattle as milk yield offer a faster, accurate and economical approach evaluation. First three lactation monthly records cows calved between 1961 2012 at ICAR-National Dairy Research Institute, Karnal were used to fit model (RRM) with various order legendre polynomial, constant (RRM-HOM) or heterogeneous residual variance (RRM-HET). For both RRM-HOM RRM-HET third polynomial for modelling additive effects...
The first lactation production records of 351 Sahiwal cows maintained at National Dairy Research Institute, Karnal over a period 52 years (1961-2012) were used to estimate the persistency measures using different methods viz. Rao and Sundaresan method, 1982 (P<sub>1</sub>), P<sub>TOMAX2</sub> (P<sub>2</sub>), P<sub>TOMAX3</sub> (P<sub>3</sub>), P<sub>SD2</sub> (P<sub>4</sub>), P<sub>SD3</sub>...
The present investigation was carried out using data of first lactation bimonthly (BTDY) test day milk yields and 305-day yield records 1345 Karan Fries cows sired by 84 bulls from 1984-2006 maintained at NDRI, Karnal. recorded 6th to 305th intervals were used predict 305 milk. Based on simple linear regression analysis with only one independent variable, the coefficients showed a consistently increasing trend up BTDY-3 thereafter declining BTDY-7 noticed. accuracy prediction (R2) based...
In the present study, first three lactation 305-day milk yield variance components, genetic parameters and breeding value were estimated using test-day actual data of Sahiwal cattle. The estimates obtained methods viz. random regression model (RRM) with homogeneous residual (RRM-HOM), RRM heterogeneous (RRM-HET) univariate animal model. additive from was higher compared to for all lactation. From RRM, it possible account permanent environmental effects due individual variations during...
Data on 880 first lactation records of Sahiwal cattle maintained at NDRI Karnal, spread over a period 47 years (1961-2007) were used to study the effect certain non-genetic factors viz. season and production reproduction traits. The traits considered age calving (AFC), 305-day or less milk yield (FL305DMY), length (FLL), service (FSP) interval (FCI). Among factors, had highly significant (P<0.01) all except FCI. no regression AFC was FL305DMY. overall least squares means for AFC, FL305DMY,...
The first lactation weekly test day milk yield (WTDMY) records (57233) and monthly (MTDMY) (11970) spread over a period of 23 years (1984– 2006) sired by 82 bulls Karan Fries cattle were used to develop the best curve model. parameters Quadratic cum log model (QCLM), Gamma function (GF), Cobby Le Du (CLDM), Polynomial regression (PRF) Multiphasic logistic (MLF) estimated. average was predicted with high degree accuracy (R2 > 85%) all models maximum = 99.50%) obtained polynomial least fit...
A comparative study of connectionist network (also known as artificial neural network, ANN)) and multiple regression is made to predict the first lactation 305 days or less milk yield (FL305DMY) from early body weights in Sahiwal cattle. multilayer feed forward with back propagation error learning mechanism was used for prediction. Data collected 221 heifers were partitioned into 2 data sets namely training set comprising 75% build model test 25% model. Early weights, viz. birth weight, at...
Data on 713 Sahiwal cows maintained at the Institute over a period of 49 years (1961–2009) were used to estimate genetic and phenotypic parameters first lactation 305- day or less milk yield monthly test-day yields. The heritability estimates 305–day these 10 test yields (6th, 35th, 65th, 95th, 125th, 155th, 185th, 215th, 245th 275th day) 0.3581, 0.0489, 0.2621, 0.2723, 0.2204, 0.1802, 0.2927, 0.2585, 0.3122, 0.3645 0.3492, respectively. All statistically highly significant except for 6th...