Effect of genetic and non-genetic factors on lactation yield in Sahiwal cattle

2016 ◽  
Author(s):  
Jitendra Singh ◽  
V. K. Singh ◽  
Alok Kumar Yadav ◽  
Amit Kumar Jha
Keyword(s):  
Statistical Model ◽  
Least Squares ◽  
Milk Production ◽  
Genetic Factors ◽  
Uttar Pradesh ◽  
Breeding Values ◽  
Total Milk ◽  
Sahiwal Cattle ◽  
Sahiwal Cows

The aim of the present study was to evaluate the effect of genetic and non genetic sources of variations on lactation yield in Sahiwal cows maintained at Uttar Pradesh Livestock- cum- Agriculture Farm, Chak Ganjaria, Lucknow, U.P. Data comprising a total of 2985 records on lactation yield spanning over a period of 62 years (1949 to 2011) were analysed by least squares analysis using suitable statistical model. The overall least squares mean for total lactation yield was found to be 2069.2280.69 kg.Lactation yield was significantly influenced by sire (P<0.01), period of calving (P<0.01), season of calving (P<0.05) year and parity (P<0.05). The heritability for total milk production was estimated to be 0.105±0.035 and breeding values of sires ranged from − 121.38 to 103.69. Genetic, phenotypic and environmental trends for lactation yield were −4.46, −116.26 and −111.80, respectively.

Effect of genetic and non-genetic factors on age at first calving in Sahiwal cattle

2016 ◽  
Author(s):  
Jitendra Singh ◽  
V. K. Singh ◽  
Alok Kumar Yadav ◽  
Amit Kumar Jha
Keyword(s):  
Statistical Model ◽  
Least Squares ◽  
Genetic Improvement ◽  
Fixed Effects ◽  
Genetic Factors ◽  
Uttar Pradesh ◽  
Heritability Estimate ◽  
Age At First Calving ◽  
Sahiwal Cows ◽  
Selection Of

The present study was conducted on Sahiwal cows maintained at Uttar Pradesh Livestock- cum- Agriculture Farm, Chak Ganjaria, Lucknow. A total of 1194 records on age at first calving (AFC) spanning over a period of 57 years (1949 to 2006) were subjected to least squares analysis using suitable statistical model considering sire as random while period and season as fixed effects. The least squares mean of AFC was estimated to be 1251.77± 22.15 days. The least squares analysis revealed significant effect (P £ 0.01) of sire and period. However, the effect of season was found to be non-significant. The heritability estimate of age at first calving was found to be 0.159. The genetic, phenotypic and environmental trend for AFC were -3.31, 32.78 and 36.09 respectively. It was concluded from the present findings that selection of sire may be practiced for genetic improvement of this trait and ameliorative managemental practices should be employed to improve upon the trait i.e. age at first calving.

Effect of genetic and non-genetic factors on milk yield and milk constituents on Sahiwal cattle

2015 ◽  
Author(s):  
M. K. Verma ◽  
G. K. Sachdeva ◽  
Alok Kumar Yadav ◽  
S. Gautam ◽  
M. M. Ali ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Genetic Factors ◽  
Mixed Model ◽  
Least Square ◽  
Cattle Breeding ◽  
National Dairy Research Institute ◽  
Total Milk ◽  
Sahiwal Cattle ◽  
Dairy Cattle Breeding

The present study pertained to records on milk production and milk constituents of 259 Sahiwal cattle with 600 lactations spread over a period of 10 years from 2001 to 2010, collected from Dairy Cattle Breeding division of National Dairy Research Institute, Karnal, Haryana. To study the effect of various genetic and non-genetic factors on milk yield and milk constituents traits, mixed model least square analysis was used for analysis of data. Overall least square mean for all lactation traits of total milk yield (TMY), milk yield in 305 days or less (305MY), lactational average fat % (LFA) and lactational average solid not fat % (LSA) were 1880.39 ± 73.82 Kg, 1782.97 ± 68.37 Kg, 4.71 ± 0.01 % and 8.81 ± 0.01 % respectively. Analysis of variance showed that the differences were statistically significant for the effect of sire on TMY and 305MY; period on all the traits except TMY; parity on 305MY. However the effect of season of calving was not found significant on all the traits.

Effect of Breed and Some Non - Genetic Factors on Milk Production and Some Proportions of Its Chemical Components in Two Breeds of Local Sheep

2020 ◽  
Vol 10 (1) ◽  
pp. 227-231
Author(s):  
Rahman Hussein AL-Qasimi ◽  
Shatha Mohammed Abbas ◽  
Allawi L.D. AL-Khauzai
Keyword(s):  
Milk Production ◽  
Genetic Factors ◽  
Chemical Components ◽  
Lactation Period ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Awassi Sheep ◽  
Total Milk ◽  
Milk Components

The study was carried out on 19 ewes of local Awassi sheep and 12ewes local Arabi sheep in the Al-kafeel sheep station Karbala, to determine the effect of breed and some non-genetic factors such as (sex of the lamb, type of birth, age and weight of ewes at birth) on daily and total milk production and lactation period and some of milk components (fat, protein and lactose). The results showed that a significant effect (P <0.05) of the breed on milk production traits where Awassi sheep recorded the highest mean (0.91 kg , 101.63 kg , 104.86 day) compared to the Arabi sheep she was means (0.77 kg , 88.15 kg , 99.15 day) respectively. As well as in proportions of milk components with mean( 5.1 , 4.90 , 5.51) % respectively compared to the Arabi sheep (4.70 . 4.20 . 4.89) ewes with male lambs also exceeded superior ewes with female lambs in daily and total milk production and the lactation period the sex of the lamb did not affect the proportions of milk components the weight of the ewes had a significant effect (P <0.05) in milk production attributes with superior weight of ewes on lower ewes and did not affect the proportions of milk ingredients except for lactose. The type of birth and the age of the ewes did not have a significant effect in all the studied traits except for the superiority (P<0.05) of young ewes on age ewes in the fat percentage of milk.

Effect of non-genetic factors on milk production performance and composition traits in Sahiwal cattle

2020 ◽  
Vol 73 (6) ◽  
pp. 587-591
Author(s):  
Suchit Kumar ◽  
Anupama Mukherjee ◽  
Alok Kumar Yadav ◽  
Prajwalita Pathak ◽  
Saleem Yousuf
Keyword(s):  
Milk Production ◽  
Genetic Factors ◽  
Production Performance ◽  
Sahiwal Cattle

scholarly journals In Search of the Determinants of Dairy Production in an Emerging Market

2021 ◽  
Vol 53 (4) ◽  
Author(s):  
Avijit Sarkar ◽  
Hemant Gupta ◽  
Avijit Dutta
Keyword(s):  
Milk Production ◽  
Focal Point ◽  
Emerging Market ◽  
Uttar Pradesh ◽  
Secondary Data ◽  
Dairy Production ◽  
Grazing Land ◽  
Indian States ◽  
Total Milk ◽  
The Status

In view of the growing importance of the dairy sector, especially for the livelihood of the rural population and the increasing demand for milk by the Indian population, higher yield of milk animals and milk availability have become the focal point of attention. This study aims to identify the determinants of dairy production in India by examining the relationship of crossbreed and buffalo populations with the quantity of milk production across different Indian states. Fifteen major Indian states were included in this study and relevant secondary data from 2001 to 2019 was taken for analysis. The sources of statistical data are BAHS (GOI), Statistical abstract, NDDB website, etc. Coarse cereal, fodder crops, grazing land, artificial insemination and veterinary services have an influence on the total milk production of the Indian states, and the significance of these impacts were tested by pooled OLS regression analysis. Crossbreed cows, indigenous cows, buffalo and goat populations were tested with the Spearman’s rho correlation test, and these variables were also found to have a positive correlation with the quantity of total milk production (TMP). The study was further extended to compare the population strength of the crossbreed and buffalo, their growth rate and ultimately the status of average milk production across the major Indian states during the period 2001 to 2019. Uttar Pradesh, Rajasthan, Gujarat, Punjab and Andhra Pradesh were found to have healthy production of milk. However, Bihar and Rajasthan were found as promising states. States like Orissa, Kerala, Uttarakhand and West Bengal were found to have certain points of concern.

Effect of mineral mixture to enhance milk production and retarded sterility

2018 ◽  
Vol 3 (01) ◽  
pp. 94-97
Author(s):  
Manoj Kumar ◽  
Kirtimani Tripathi ◽  
Ravinder Pal Singh ◽  
Parvindra Kumar
Keyword(s):  
Milk Production ◽  
Uttar Pradesh ◽  
Animal Husbandry ◽  
Sampling Technique ◽  
Physical Parameters ◽  
Age Group ◽  
Mineral Deficiency ◽  
Milk Fever ◽  
Total Milk ◽  
Mineral Mixture

Uttar Pradesh is the largest contributor to the national milk production contributing around 18 % of total milk production in the country. It has got the second highest cattle number and highest number of buffalo in the country. Bulandshahr district is known as “Milk Belt” of Uttar Pradesh. The production of district milk has increased to 233.00 lakh ton in 2013 as against 189.00 lakh ton in 2007-2008. A survey was conducted in Bulandshahr district of western U.P. during 2014 - 2016 to find out the constraints faced by dairy farmer in adoption of improved milch animal husbandry practices. Total 120 animal keepers, Blocks namely Bulandshahr, Gulaoti, Lakhaoti and Sikandrabad were selected through random sampling technique. All animals selected were of same age group of 5 to 6 years. 50-60 gram of mineral mixture per day was given to each cow for 120 days. Among different health parameters relating to milk fever problem of animals in village Ginora Sheak, the effect of mineral mixture was of high significance (83% decrease) andm milk increased at the lower rate (5%) per animal in village Jainpur. From the study it can be concluded that mineral deficiency is one of the major cause behind the different problems faced by cows with respect to health and physical parameters followed by decreased milk production, fertility and repeated breeding. In the study it was found the all the assessed parameters concluded significant results. Thus mineral mixture was found to be very effective in improving different health aspects of cow.

Effect of genetic and non-genetic factors on milk yield and milk constituents in Murrah buffalo

2016 ◽  
Author(s):  
M. K. Verma ◽  
G. K. Sachdeva ◽  
Alok Kumar Yadav ◽  
S. Gautam ◽  
M. M. Ali ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Genetic Improvement ◽  
Genetic Factors ◽  
Least Square ◽  
Statistical Tool ◽  
Murrah Buffalo ◽  
Murrah Buffaloes ◽  
Total Milk

The present study was carried on milk production and milk constituents of 444 lactations of 176 Murrah buffaloes over a period of 10 years from 2001 to 2010 with the objective to find out the effect of various genetic and non-genetic factors on milk yield and milk constituents traits in Murrah buffaloes. Data on total milk yield, milk yield in 305 days or less, lactational average fat per cent and lactational average solid not fat percent (LSA) were collected and compiled purposely and analyzed with suitable statistical tool. Overall least square mean for all lactation traits of total milk yield (TMY), milk yield in 305 days or less (305MY), lactational average fat % (LFA) and lactational average solid not fat % (LSA) were 2253.88 ±70.15 Kg, 2097.11 ±59.12 Kg, 7.97 ±0.02 % and 9.64 ±0.01 % respectively. The period has significant effect on milk yield and milk constituent traits. Sire and parity affects significantly to TMY and 305MY, however, seasons were affecting to TMY only. Hence it is concluded as milk constituents (LFA and LSA) not affected by sire, parity and season. Although, sire and parity has affect on TMY and 305MY whereas season affects only TMY, therefore, due importance should be given to sire and parity during selection and genetic improvement of Murrah buffalo. Analysis among the parities also revealed that there were no significant (P<sup>3</sup>0.05) difference among the second, third and fourth parity hence, at the time of selection second lactation (305MY) milk yield is equally important as fourth lactation in which highest milk yield has been reported in present study.

scholarly journals A New Inverted Topp-Leone Distribution: Applications to the COVID-19 Mortality Rate in Two Different Countries

Axioms ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 25 ◽  
Author(s):  
Ehab Almetwally ◽  
Randa Alharbi ◽  
Dalia Alnagar ◽  
Eslam Hafez
Keyword(s):  
Statistical Model ◽  
Least Squares ◽  
Weighted Least Squares ◽  
Likelihood Estimation ◽  
Linear Representation ◽  
Rate Function ◽  
Estimation Methods ◽  
Unknown Parameters ◽  
Least Squares Estimators ◽  
New Distribution

This paper aims to find a statistical model for the COVID-19 spread in the United Kingdom and Canada. We used an efficient and superior model for fitting the COVID 19 mortality rates in these countries by specifying an optimal statistical model. A new lifetime distribution with two-parameter is introduced by a combination of inverted Topp-Leone distribution and modified Kies family to produce the modified Kies inverted Topp-Leone (MKITL) distribution, which covers a lot of application that both the traditional inverted Topp-Leone and the modified Kies provide poor fitting for them. This new distribution has many valuable properties as simple linear representation, hazard rate function, and moment function. We made several methods of estimations as maximum likelihood estimation, least squares estimators, weighted least-squares estimators, maximum product spacing, Crame´r-von Mises estimators, and Anderson-Darling estimators methods are applied to estimate the unknown parameters of MKITL distribution. A numerical result of the Monte Carlo simulation is obtained to assess the use of estimation methods. also, we applied different data sets to the new distribution to assess its performance in modeling data.

scholarly journals Scopes and opportunities of buffalo farming in Bangladesh: A review

2017 ◽  
Vol 14 (2) ◽  
pp. 63-77 ◽  
Author(s):  
MA Hamid ◽  
MNA Siddiky ◽  
MA Rahman ◽  
KM Hossain
Keyword(s):  
Milk Production ◽  
South Asian ◽  
Coastal Region ◽  
Buffalo Milk ◽  
Meat Production ◽  
Subsistence Farming ◽  
Asian Countries ◽  
Production Potential ◽  
The World ◽  
Total Milk

The present study attempts to examine the scenario of buffalo production in Bangladesh. The buffalo plays a very important role in the South Asian region which constitutes 77.5% of world buffalo population. This region has a great biodiversity in buffalo germplasm, including the world famous source promising buffaloes Murrah and Nili-Ravi - renowned for high milk production potential. It is estimated that about 96.05 % of Asia and 93.19 % of world buffalo milk are produced in South Asian countries. Besides, buffalo milk in South Asian countries is around 54.95 % of the total milk production. The India and Pakistan share 67.99% and 23.96%, of world buffalo milk production respectively. About 71.4% of world buffalo meat is produced in South Asian countries. Although buffalo is an integral part of livestock production system in South Asian countries, it has never been addressed in Bangladesh and always neglected despite their important role in the national economy. In Bangladesh, the total buffalo population are 1.464 million heads that are managed in household subsistence farming as well as extensive free range (Bathan) farming in saline coastal region that are used as a draught animal and partially for milk and meat production. The contribution of buffalo in total milk and meat production in Bangladesh is only 2.0% and 0.94%, respectively. This review has tried to unearth the present scenario of buffalo production in Bangladesh, describing the benefits and values of buffalo milk and meat, advantages of buffalo husbandry over cattle, constraints in buffalo production and recommendations for buffalo development in Bangladesh.SAARC J. Agri., 14(2): 63-77 (2016)

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