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.

scholarly journals Suicidal Ideation Among Adolescents—The Role of Sexual Abuse, Depression, and Impulsive Behavior

2021 ◽  
Vol 12 ◽  
Author(s):  
Pradeep Kumar ◽  
Shobhit Srivastava ◽  
Prem Shankar Mishra ◽  
Debashree Sinha
Keyword(s):  
Sexual Abuse ◽  
Suicidal Ideation ◽  
Intervention Program ◽  
Uttar Pradesh ◽  
Secondary Data ◽  
Bivariate Analysis ◽  
Impulsive Behavior ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Indian States

Suicide is the second leading cause of death among adolescents. With every fifth Indian to be an adolescent, the cost of an adolescent dying by suicide is enormous. This necessitates an understanding of the potential risk factors of suicidal ideation among adolescents. Secondary data analysis is performed on cross-sectional survey data obtained from Understanding the Lives of Adolescents and Young Adults. The survey was conducted in two Indian states of Bihar and Uttar Pradesh. Descriptive statistics, bivariate analysis and logistic regression are done to examine the results. Adolescent girls reported more suicidal ideation than boys. The odds of suicidal ideation are significantly higher among adolescents whose mother faced physical abuse and adolescents who themselves experienced sexual abuse. Adolescent boys and girls who have moderate depressive symptoms and impulsive behavior are significantly more likely to report suicidal ideation. The results help in identifying the adolescents who are at a particular risk for suicidal ideation while planning for intervention program for prevention of suicide.

scholarly journals Distribution of Holstein Friesian Dairy Cattle Populations in KUD Gemah Ripah Sukabumi, West Java for Milk Production of during Lactation, Daily Milk Production, and Fat Levels

2020 ◽  
Vol 5 (1) ◽  
pp. 1-5
Author(s):  
Raden Febrianto Christi ◽  
H. Hermawan ◽  
Lia Budimulyati Salman
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Secondary Data ◽  
Fat Content ◽  
Lactation Period ◽  
West Java ◽  
Holstein Friesian ◽  
Total Milk ◽  
Daily Milk Production ◽  
Daily Milk

Dairy cows are a type of livestock that have been developed by contributing products in the form of milk as a provider of animal protein. The more dairy cow population, the higher the milk production produced. This study aims to determine the population of dairy farming in Gemah Ripah Sukabumi KUD, West Java, and to determine the amount of milk production during the lactation period, daily milk production, and fat content. The research method used was a survey by taking primary and secondary data in 2018 and then analyzed with simple statistics to determine the mean, standard deviation, and coefficient of diversity. The results showed that the population of dairy cows was widespread in the Sukabumi area.  Namely in the Barokah group in the Sukalarang sub-district, the Cikole group in the Sukaraja sub-district, the Cintaresmi group in the Sukalarang sub-district, the Priangan group in the Sukalarang sub-district, the rukun tani II in the sub-district of Sukalarang, the rukun tani III in Sukalja, sulanjana I in Sukalarang sub-district. Sukalarang sub-district, sulanjana II sub-group sukalarang sub-district, sukalarang talisaid sub-district, Darma Sancang group, Sukaraja group consisting of calves, young dairy cows, dairy cows, and bulls with average total milk production (362.7) 3627 liters/lactation, average the amount of daily milk production is 10.8 liters/head/day. The average fat content is 3.44%. The conclusion showed that the population of dairy cows that was in Gemah Ripah Cooperative Sukabumi District has a total of 776 heads.  Consisting of calves, heifers, cow lactation, and males as well as having an average total milk production during the lactation period with 105 heads, which is 362.5 liters/lactation, the average daily milk production of 10.8 liters/head/day, with a fat content of 3.44%.

scholarly journals Impact of Students Enrolled in Higher Education vis-à-vis Usage of e-PG Pathshala Resources: An Exploratory Study on Select Universities

2021 ◽  
Author(s):  
Subhajit Panda
Keyword(s):  
Higher Education ◽  
Uttar Pradesh ◽  
Analysis Data ◽  
The State ◽  
Final Report ◽  
Indian States ◽  
Learning Platform ◽  
The Status ◽  
E Learning ◽  
Awareness Programme

Purpose: The purpose of the study is to analyse the state-wise impact of uses of e-PG Pathshala by the students enrolled in higher education in India.The study examines the status of acceptance of e-PG Pathshala as an e-learning platform to among the students of higher education in different Indian states.Methodology: The total visitors of e-PG Pathshala were collected manually from the official website of e-PG Pathshala, list of total number of Universities were collected from official website of UGC and the data of total enrolment of higher education was collected from AISHE final report 2018-19.Analysis: Data analysis was done using spreadsheet software for enhanced visualization and to understand the arrangement and correlation between different variables of the data set.Result: The study result shows that, maximum number of e-PG visitors, universities and enrolled students in higher education belongs to the state Uttar Pradesh. The statistical findings also indicate a significant and positive correlation between the variables.Implications: The results of the study gave a clear picture of the acceptance of e-PG Pathshala among the students of different Indian states. And based on the value improvement and awareness programme can be done to those states where the number of e-PG visitors is very low.Originality: No previous study could be identified dealing with the finding of the study.

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 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.

scholarly journals FARMER’S DISTRESS AND AGRARIAN CRISES IN INDIA: CAUSES AND WAYS FORWARD

2020 ◽  
pp. A 63-A 69
Author(s):  
Shreya Suppannavar ◽  
Duragesh Pujari
Keyword(s):  
Uttar Pradesh ◽  
Secondary Data ◽  
Poverty Line ◽  
High Poverty ◽  
Indian States ◽  
Farmer Suicides ◽  
Major Loss ◽  
Major Factors ◽  
Commit Suicide ◽  
Agricultural Labourers

Agriculture in India is referred to as “Gamble of the monsoon”. It has been observed that among Indian states. In recent years, many farmers in India have committed suicide, Uttar Pradesh, Maharashtra, Rajasthan and Karnataka record for high suicide rates due to indebtedness of agricultural households. Maharashtra accounted for the maximum share of farmer suicides and Karnataka second. Cultivators are more prone to commit suicide compared to that of Agricultural Labourers. The study found that the high poverty states have the highest farmers committing suicide. Among the cultivators, bankruptcy or indebtedness are the major factors leading to purposive killing of farmers killing themselves. The study is based on secondary data. The data such as number of cultivators, agricultural labourers by age, gender and size of landholdings have been collected and been used for further analysis. Indian States are categorized into low, middle and High Poverty states based on ‘combined poverty line’ estimated by Suresh Tendulkar. Also the farmers are divided into four groups according to size of landholdings (marginal, small, medium and large farmers) for clear analysis. Simple statistical tools such as averages, Coefficient of Variation and percentage are used to analyze and interpret the data. Out of 39.8 percent of total working population in India 21.7 percent of population are engaged in agricultural activities and are in distress and committing suicide which triggers a major loss to India’s Human Capital resource. The study also shows that high rates of suicide are recorded in Maharashtra (34.1 percent) and Karnataka (12.5 percent) and therefore farmers’ suicide is high among the high poverty states of India. KEY WORDS: Agriculture, Farmers, Cultivators, agricultural Labourers, Suicide, Bankruptcy, High and Low Poverty States, Factors.

STATISTICAL METHODS FOR THE ASSESSMENT OF AIR POLLUTION OF JHANSI CITY, UTTAR PRADESH, INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
V. S. CHAUHAN ◽  
BHANUMATI SINGH ◽  
SHREE GANESH ◽  
JAMSHED ZAIDI
Keyword(s):  
Air Pollution ◽  
Uttar Pradesh ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Base Line ◽  
Multivariate Statistical ◽  
Large Cities ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
The Status

Studies on air pollution in large cities of India showed that ambient air pollution concentrations are at such levels where serious health effects are possible. This paper presents overview on the status of air quality index (AQI) of Jhansi city by using multivariate statistical techniques. This base line data can help governmental and non-governmental organizations for the management of air pollution.

LIME AND DAIRY PRODUCTION

1982 ◽  
pp. 93-103
Author(s):  
N.A. Thomson
Keyword(s):  
Soil Moisture ◽  
Dairy Cows ◽  
Milk Production ◽  
Soil Ph ◽  
Dairy Production ◽  
Pasture Production ◽  
The Third ◽  
One Year ◽  
Plasma Magnesium

In a four year grazing trial with dairy cows the application of 5000 kg lime/ ha (applied in two applications of 2500 kg/ha in winter of the first two years) significantly increased annual pasture production in two of the four years and dairy production in one year. In three of the four years lime significantly increased pasture growth over summer/autumn with concurrent increases in milk production. In the last year of the trial lime had little effect on pasture growth but a relatively large increase in milkfat production resulted. A higher incidence of grass staggers was recorded on the limed farmlets in spring for each of the four years. In the second spring immediately following the second application of lime significant depressions in both pasture and plasma magnesium levels were recorded. By the third spring differences in plasma magnesium levels were negligible but small depressions in herbage magnesium resulting from lime continued to the end of the trial. Lime significantly raised soil pH, Ca and Mg levels but had no effect on either soil K or P. As pH levels of the unlimed paddocks were low (5.2-5.4) in each autumn and soil moisture levels were increased by liming, these factors may suggest possible causes for the seasonality of the pasture response to lime

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.

Status of Food Security in Banten Province, Indonesia

2019 ◽  
Author(s):  
Weksi Budiaji
Keyword(s):  
Population Dynamics ◽  
Food Security ◽  
Arable Land ◽  
Secondary Data ◽  
Disaster Risk ◽  
Soil Types ◽  
Indicator Variables ◽  
Cereal Production ◽  
The Status ◽  
Vast Area

This paper discusses the status of food security in Banten Province, Indonesia based on regional and city characteristics. Secondary data is used and is analyzed descriptively covering population dynamics, the population living in poverty, cereal production, disaster risk and soil types. Tangerang Region is found to have the largest population with the greatest number of people living in poverty among the regions and cities in Banten Province. Cereal production is dominated by the regions rather than the cities due to their vast area. Regarding arable land, flooding is the most threatening disaster in the major rice producing areas. In order to identify the distributions of regions and cities regarding food security, three indicator variables of food security dimensions are plotted, namely, cereal normative consumption, proportion of the population living in poverty, and proportion of malnourished babies. The three regions of Pandeglang Region, Lebak Region and Serang Region are grouped together in a less secure group.

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