scholarly journals Economic analysis of green fodder crops for enhancing the dairy profitability in Punjab

2021 ◽  
Vol 22 (SE) ◽  
pp. 1-8
Author(s):  
Varinder Pal Singh ◽  
Harparteet Singh ◽  
Inderpreet Kaur
Keyword(s):  
Milk Production ◽  
Total Sample ◽  
Herd Size ◽  
Market Prices ◽  
Climatic Regions ◽  
Fodder Crops ◽  
Green Fodder ◽  
Dairy Animals ◽  
Paddy Crop ◽  
The Cost

The present study has been carried out in three agro-climatic regions of Punjab state, i.e.  Sub mountainous, Central and South-Western regions for examining the economics of different green fodder crops and importance of green fodder in enhancing the dairy profitability. The study consisted of a total sample size of 120 farmers growing green fodder crops and keeping dairy animals.  It was observed from the study that the profitability from important green fodder crops based crop cycle is a little bit higher (bajra + berseem ` Rs.1,213) than the traditional wheat-paddy crop rotation (`Rs.49,005). It was found that proportion of green fodder in the cost of milk production was lower (12.12 per cent) if green fodder is home-produced compared to the market prices of green fodder (23.13 per cent). In this way, the expenditure on green fodder can be curtailed by about 13-14 per cent, which will curtail the overall cost of production of milk and enhance the productivity and profitability from milk production. A direct link between green fodder quantity and milk yield has been observed. Therefore, farmers need to motivated for enhancing the green fodder production for properly feeding the animals and further, they should try to increase the herd size so that higher profits from dairy farming can be realized.

scholarly journals An Economic Analysis of Paddy Cultivation in Cuddalore District

2021 ◽  
pp. 153-160
Author(s):  
E. Ragunath ◽  
R. Rajesh
Keyword(s):  
Total Sample ◽  
System Of Rice Intensification ◽  
Net Income ◽  
Increasing Trend ◽  
Rice Intensification ◽  
Gross Income ◽  
High Yielding Varieties ◽  
Paddy Cultivation ◽  
Paddy Crop ◽  
The Cost

In this paper an attempt was made to analyze economics of paddy cultivation in Cuddalore district. Based on area under paddy, three blocks namely Kurinjipadi, Kumaratchi and Vridhachalam were selected. The total sample size was 120 paddy growers. The study revealed that area and production of paddy crop was declining during the period 1998-2008 while the productivity was growing positively during the same period. During 2009-2019, compound growth rate of area, production and productivity of paddy was depicting an increasing trend due to the role-played by high yielding varieties which created greater affinity towards paddy crop. The cost of production of paddy per hectare was estimated to be Rs. 56,617. The average gross income was found to be Rs. 92,077 per hectare and net income was observed to be Rs. 29,712 per hectare. Excessive usage of nitrogen and phosphorous fertilizers could be reduced to decrease the production cost and increase the efficiency of inputs. Adoption of System of Rice Intensification (SRI) method was suggested to increase the productivity of paddy.

An Economic Analysis of Milk Production and Profitability of Dairy Farms in Haryana

2021 ◽  
pp. 104-111
Keyword(s):  
Milk Production ◽  
Sampling Technique ◽  
Total Sample ◽  
Herd Size ◽  
Production Economics ◽  
Net Returns ◽  
Fresh Milk ◽  
Size Groups ◽  
Large Herd ◽  
Selection Of

The present study was carried out in the Sirsa and Bhiwani districts of Haryana state, purposively selected to work out milk production economics and its disposal pattern. The multistage stratified random sampling technique was used for the selection of the respondents. From Sirsa district 41 small, 36 medium and 23 large farmers were selected whereas from Bhiwani district 45 small, 39 medium and 16 large farmers were selected. Thus, in all 86 small farmers, 75 medium and 39 large farmers constituted the total sample of 200 respondents. Milk yield of crossbred cattle was found to be higher than the buffaloes. Net returns (?/animal/day) in the case of buffaloes and crossbred cow were highest in small, followed by medium and large herd size groups in both selected districts. On an average, 50.62 and 61.50 percent of the total milk produced was sold as fresh milk in Sirsa and Bhiwani district, respectively. Rest of the milk (38.76 percent) was used for family consumption and 10.62 for other purposes (conversion to ghee).

scholarly journals Инновационные направления основа повышения эффективности производства продукции растениеводства

2019 ◽  
pp. 56-60
Author(s):  
L.A. Khomutova ◽  
L.M. Isaeva
Keyword(s):  
Crop Production ◽  
Crop Yields ◽  
Potato Yield ◽  
Perennial Grasses ◽  
Current State ◽  
Fodder Crops ◽  
Green Fodder ◽  
Feed Costs ◽  
The Cost ◽  
Competitive Products

Рассматриваются результаты анализа современного состояния отрасли растениеводства в Костромской области и основные направления её инновационного развития. Отрасль характеризуется низким уровнем интенсивности ведения производства, нестабильным уровнем рентабельности и низким показателем товарности. Неэффективные технологические процессы в отрасли не могут обеспечить производство конкурентоспособной продукции. Одной из причин неэффективного развития отрасли растениеводства региона является нерациональное использование сельских территорий, их природного, демографического, экономического потенциалов. В последние годы сократились площади посева под зерновыми (на 7,5 тыс. га, или на 19,6) и кормовыми культурами (на 4,8 тыс. га, или на 4,1), но наблюдается увеличение площади посадки картофеля (на 102 га, или на 12). Применение экстенсивных технологий не позволяет обеспечить высокую урожайность сельскохозяйственных культур. Она колеблется по зерновым культурам в пределах 11 16 ц/га, картофелю 179 220 ц/га, сену 16 17 ц/га, зелёному корму 72 225 ц/га. Повышение эффективности развития отрасли растениеводства возможно за счёт внедрения инновационных направлений: системы семеноводства сельскохозяйственных культур, организации интенсивного производства и освоения новых и усовершенствованных индустриальных технологий, использования биоклиматического потенциала, научно обоснованного размещения производства отдельных сельскохозяйственных культур. Расчёты показали, что при внедрении инновационных технологий урожайность картофеля может увеличиться на 59,7 ц/га, или на 27,1, а зерна на 16 ц/га, или на 114,3, при снижении себестоимости на 28,5 и 18,4 и увеличении рентабельности в 3,3 и 2,8 раза соответственно. Рост урожайности зелёной массы и сена однолетних и многолетних трав в 2,6 раза приведёт к снижению себестоимости их производства на 41,5 и 23,2 соответственно и снижению доли затрат на корма в структуре себестоимости продукции животноводства.The results of the analysis of the current state of the crop production branch in the Kostroma region and the main directions of its innovative development are considered. The branch is characterized by a low level of intensity of conducting production, an unstable level of profitability and a low rate of marketability. Ineffective technological processes in the branch cannot provide the production of competitive products. One of the reasons for the inefficient development of the crop production branch in the region is the irrational use of rural territories, their natural, demographic, and economic potentials. In recent years planting acreage under grain crops have been reduced (by 7.5 thousand ha, or 19.6) and fodder crops (by 4.8 thousand ha, or 4.1) but there has been an increase in the planted area of potatoes (on 102 hectares, or 12). The use of extensive technologies does not allow for high crop yields. It varies between 11 16 kg/ha for crops, 179 220 kg/ha for potatoes, 16 17 kg/ha for hay, and 72 225 kg/ha for green fodder. Improving the efficiency of the development of the crop production branch is possible through the introduction of innovative directions: a system of seed farming of crops, the organization of intensive production and the development of new and improved industrial technologies, the use of bioclimatic potential and the scientifically based distribution of production of individual crops. Calculations showed that with the introduction of innovative technologies the potato yield may be increased by 59.7 kg/ha, or 27.1, and grain by 16 kg/ha or 114.3 while reducing the cost by 28.5 and 18.4 and an increase in profitability by 3.3 and 2.8 times respectively. Increase in the yield of green mass and hay of annual and perennial grasses by 2.6 times will lead to a decrease in the cost of their production by 41.5 and 23.2, respectively and a decrease in the share of feed costs in the structure of the cost of livestock production.

Tribal dairy farming status in the Northern Hills Zone ofChhattisgarh state, India - An survey research

2016 ◽  
Vol 35 (4) ◽  
Author(s):  
P. Mooventhan ◽  
K. S. Kadian ◽  
R. Senthil Kumar ◽  
A. Manimaran ◽  
A. Sakthivel Selvan
Keyword(s):  
Survey Research ◽  
Milk Production ◽  
Rural Areas ◽  
Herd Size ◽  
Dairy Farming ◽  
Production Performance ◽  
Dairy Production ◽  
Subsistence Level ◽  
Dairy Animals ◽  
F2 Generation

This survey research was carried out to explore the existing dairy farming status in the tribal populated districts of northern hills zone of Chhattisgarh state. Dairy sector has huge potential to generate rural employment and assures the nutritional security to rural folk who belongs to weaker section of the society. Chhattisgarh state is still in primordial stage in dairy farming though the state has good number of cattle population compared to other leading milk producing states. To augment the dairy production in the rural areas, surveying and analysis of existing dairying status is essential and this result helps the planners, administrators, development workers, scientists and others to frame policies to implement developmental schemes. The results indicated that, more than half (56.33%) of the tribal dairy farmers falling under the category of subsistence level of dairy production system, about half (44.67 %) of the respondents possessing medium herd size, non-descript dairy cattle ranks first in the livestock category numbers (865), followed by draught animal (539), cross breeds (126), non-descript upgraded (93), Buffalo upgraded + ND (79), Scrub bulls (27) and Calves (ND + CB + BC were (146). Non-descript lactating cows had 1.24 litres/animal as an average milk production with the maximum of 2 litres and minimum of 250 ml. Crossbred, Upgraded buffaloes and Upgraded non-descript dairy animals had shown the superior milk production performance in F2 generation. Less than half (45.33%) of the tribal farmers producing less than 1.2 litres of milk per day and majority (64.67%) of the respondents selling surplus milk through middle man.

Sources and uses of information on a West Coast dairy farm

2002 ◽  
pp. 31-32
Author(s):  
C. Van der Geest
Keyword(s):  
Milk Production ◽  
Time Pressure ◽  
Data Gathering ◽  
Technical Information ◽  
Dairy Farm ◽  
Farming System ◽  
Herd Size ◽  
Financial Benefit ◽  
Nitrogen Response ◽  
Directional Information

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.

COST OF MILK PRODUCTION AND BREAK EVEN ANALYSIS OF MEMBER AND NON MEMBER OF DAIRY COOPERATIVE SOCIETY FOR MILCH ANIMALS (COW & BUFFALO) IN DISTRICT ETAWAH OF U.P.

2014 ◽  
Vol 2 (1) ◽  
pp. 30-37
Author(s):  
Ashish Chandra ◽  
Dr. A. K. Dubey ◽  
Dr. Sachin Kumar Srivastava
Keyword(s):  
Milk Production ◽  
Herd Size ◽  
Total Cost ◽  
Minimum Quantity ◽  
Cooperative Society ◽  
Point Analysis ◽  
Large Herd ◽  
Breakeven Point

This study covered 150 cooperative member milk producers and 150 non-member milk producers which were post- stratified into Landless, Marginal, small, medium and large herd size categories. Breakeven point is a point where no profit no loss status achieved where MR = MC. In this study breakeven point analysis was done to estimate the minimum quantity milk to be produced to cover the total cost on all categories (members and nonmembers) of households of milch animals (Cow and buffalo). And also in this study the researchers have find out the Total cost of milk production per liter for member and non member categories. This study is helpful to find out the total cost of milk production in all categories as well as members and nonmembers of dairy cooperative society are able to find out the breakeven point of the whole business.

Immunodetection of Ostertagia ostertagi in Cattle Milk Samples in Wasit Province

2017 ◽  
Vol 1 (28) ◽  
pp. 637-648
Author(s):  
Abbas Hassan Khlaty Al-Sray
Keyword(s):  
Milk Production ◽  
Herd Size ◽  
Elisa Test ◽  
Production Factor ◽  
Size Factor ◽  
Ostertagia Ostertagi ◽  
Milk Samples ◽  
Management Group ◽  
Breed Group ◽  
Age Factor

The aim of present study was to detect the seroprevalence of Ostertagia ostertagi specific antibodies in cattle milk samples in Wasit province, by using the indirect ELISA test for first time in Iraq. For this purpose, an overall 368 dairies cow was submitted for study and the results were revealed that 51 (13.86 %) of tested cows were positive, and the mean optic density ratios (ODRs) of ELISA test values in seropositive cattle were 0.58. Also, this study aimed to investigate an association of seropositive results with some epidemiological risk factors. Hence, the positive results, according to these factors, were as follow: in milk production factor, 6.32 % for ³18 liters/day group, 14.29 % for ³10-18 liters/day group, and 25 % for < 10 liters/day group; in age factor, 13.41% for ³3-6 years group, and 14.75% for >6 years group; in breed factor, 18.27% for local breed group, 12.17% for cross-breed group, and 12% for pure breed group; in farm management factor, 21.35% for bad management group, and 5.68% for good management group; and in herd size factor, 11.59% for <25 (cow/herd) group, and 17.78% for ³ 25 (cow/herd) group. Statistically, the significant differences (P£ 0.05) were observed among related groups of milk production, breed, husbandry management, and herd size factors; while it’s not reported among groups of age factor.

Attitude of Dairy Farmers Towards Cultivation of Green Fodder Crops in Bidar District of Karnataka

2017 ◽  
Vol 12 (3) ◽  
Author(s):  
Prakash Kumar Rathod
Keyword(s):  
Attitude Scale ◽  
Dairy Production ◽  
Personal Interview ◽  
Dairy Farmers ◽  
Interview Method ◽  
Ex Post ◽  
Fodder Crops ◽  
Ex Post Facto ◽  
Medium Level ◽  
Green Fodder

An ex-post-facto exploratory study was conducted to assess the attitude of dairy farmers towards cultivation of green fodder crops and constraints faced by them for fodder cultivation in Bidar district of Karnataka, India using an attitude scale through personal interview method. The study reported that majority of the respondents had medium level of favorable attitude towards green fodder cultivation and the variables education and scientific orientation of the farmers was found to be significantly correlated with attitude towards green fodder cultivation. The respondents perceived that non-availability of inputs and scarcity of water was the major constraints for cultivation of fodder in the study area. The study concluded that, there is a need to educate the farmers about green fodder cultivation and feeding through various extension approaches for improved dairy production in the study area.

Potential of warm-season annual forages and Brassica crops for grazing: A Canadian Review

2009 ◽  
Vol 89 (4) ◽  
pp. 431-440 ◽  
Author(s):  
D McCartney ◽  
J Fraser ◽  
A Ohama
Keyword(s):  
Foxtail Millet ◽  
Warm Season ◽  
Yield Potential ◽  
High Yield ◽  
Hordeum Vulgare L ◽  
Grazing Season ◽  
Brassica Crops ◽  
Fodder Crops ◽  
Secale Cereale L ◽  
The Cost

Extension of the grazing season beyond the normal perennial grazing season has been identified as a potential mechanism to reduce the cost of production on Canadian cow-calf operations. This review will provide an overview of the potential use of warm-season and Brassica crops including corn (Zea mays), Golden German foxtail millet (Setaria italica L. Beauv.), kale (Brassica oleracea L.), forage rape (B. napus ssp. biennis L.) and turnip (B. rapa L.). These crops have a high yield potential, but the cost for grazing these crops has not been adequately compared with the cost of grazing oat (Avena sativa L.), barley (Hordeum vulgare L.), and fall rye (Secale cereale L.). There are very few actual animal grazing trials evaluating the economics of using these crops in grazing systems in Canada, and this requires further research.Key words: Corn, millet, sorgum, sudan grass, fodder crops, brassicas

Seasonal Influence on Milk Production Performance in SDCMPUL in Tamil Nadu

2021 ◽  
Keyword(s):  
Milk Production ◽  
Tamil Nadu ◽  
Seasonal Fluctuation ◽  
Secondary Data ◽  
Climatic Conditions ◽  
Production Performance ◽  
Reproduction Traits ◽  
Dairy Animals ◽  
The Mean ◽  
Spss Software

Dairy farming is vulnerable to seasonal variable factors such as temperature, cold climatic conditions, and rainfall. These affect the production and reproduction traits of dairy animals. Seasonal variability also affects the quantity of consumption and marketing of milk considerably. The study aimed to assess the seasonal fluctuation in milk production in Sivagangai District Cooperative Milk Producer Union Limited (SDCMPUL), Tamil Nadu. The study used secondary data. The milk production data were collected from SDCMPUL, Karaikudi, Tamil Nadu. The data covered the period from 2001-02 to 2020-21. The study used descriptive statistics, CAGR, and paired ‘t-test to determine the variation of milk production according to seasonal changes. The MS office - Excel software and SPSS software were used to analyse the data. The results revealed that the mean milk production of the lean and flush season was 2.46 and 2.30 lakh liters, and the CAGR of milk production in SDCMPUL, Tamil Nadu, during the period 2001-02 to 2020-21 was 5.65 percent, and it was 5.23 percent in lean season and 6.11 percent in the flush season while the growth rate of milk production during the lean and flush season was positive and was significant statistically. It was found that the quantity of milk production was higher in the lean season than a flush season; however, the variability of milk production was more in the flush season than in the lean season.

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