THE DAIRY HERD MANAGEMENT SYSTEM AND FARM PRODUCTIVITY

1980 ◽  
Vol 60 (2) ◽  
pp. 495-502 ◽  
Author(s):  
J. S. T. BOWMAN ◽  
J. E. MOXLEY ◽  
B. W. KENNEDY ◽  
B. R. DOWNEY
Keyword(s):  
Production Efficiency ◽  
Correlation Coefficients ◽  
Crop Management ◽  
Dairy Herd ◽  
Complete Information ◽  
Annual Data ◽  
Farm Productivity ◽  
Average Production ◽  
Management Factors ◽  
Feed Costs

A study, based on a series of three questionnaires covering calf management, mastitis control and land and crop management, was conducted from 1975 to 1977 on a random sample of 640 dairy farms on the Dairy Herd Analysis Service (DHAS). Information on dairy cow nutrition, farm production efficiency and farm productivity, as measured by herd average production of 4% fat-corrected milk (4% FCM) and income overfeed costs, was obtained from the 1975–76 DHAS annual data files for these farms. Analysis of the complete information on all factors concerned was done on 216 farms. In a multiple regression analysis, 37 farm management factors accounted for 79.9 and 69.5% of the variation in herd average production and income over feed costs, respectively. Levels of meal and succulent (silage) feeding accounted for the largest amount of the variation in production and income. Significant simple correlation coefficients indicated that the land and crop management factors had an important influence on herd nutrition.

scholarly journals TRENDS AND PROSPECTS OF DEVELOPMENT OF MILK PRODUCTION

2020 ◽  
Vol 15 (1) ◽  
pp. 94-98
Author(s):  
Natal'ya Aleksandrova ◽  
Asiya Subaeva ◽  
Leysan Mavlieva ◽  
Nikolay Titov
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Production Efficiency ◽  
Dairy Herd ◽  
Selling Price ◽  
Factors Affecting ◽  
Agricultural Enterprises ◽  
Ulyanovsk Region ◽  
Feed Costs ◽  
Further Development

The studies were carried out in order to identify factors affecting the efficiency of milk production in Ulyanovsk region, to subsequently determine the most important measures for the development of the industry. The bulk of marketed milk in the region is produced by agricultural enterprises. Despite the strengthening of state support measures to stimulate dairy farming, the growth rate of milk production in agricultural organizations in the region remains low. For 2014 - 2018 gross milk yield in farms of this category increased by only 5.7% and was due to increased productivity of cows. At the same time, milk production efficiency decreased from 27.9 to 21.9%, and its growth was noted only in 7 regions of the region. In 11 districts, a decrease in the profitability of milk production for 2014–2018, ranged from 6.2 to 71.5 percentage points. According to the results of the grouping of agricultural enterprises of Ulyanovsk region, the highest level of profitability of milk production is due to the increased average annual milk yield from 1 cow, a larger share of feed costs in the total cost of maintaining the dairy herd, low production and sale costs of 1 centner of milk, and a high selling price of 1 centner milk. Achieving high profitability is possible only with the optimal combination of these factors. Strengthening the fodder base will contribute to increasing the efficiency of milk production in Ulyanovsk region, which will ensure further development of the industry and create conditions for increasing the volume of milk and dairy products

scholarly journals Measuring the Efficiency of Health Services Areas in Kingdom of Saudi Arabia Using Data Envelopment Analysis (DEA): A Comparative Study between the Years 2014 and 2006

2017 ◽  
Vol 9 (4) ◽  
pp. 172 ◽  
Author(s):  
Sanaa Mohamed Aly Helal ◽  
Haga Abdelrahman Elimam
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Health Services ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Average Production ◽  
Government Hospitals ◽  
The Government ◽  
Using Data

The study aimed to assess the efficiency of health services provided by the government hospitals in various districts of the Kingdom of Saudi Arabia. The number of beds at hospitals, doctors, nursing staff and paramedical categories were used as inputs for the model. The average productivity efficiency of government hospitals in the districts of the Kingdom of Saudi Arabia in 2014 was 92.3%; whereas, the average internal production efficiency of these districts in the provision of health services through their respective hospitals was 94.7%; and the average external productivity efficiency in the different cities of the districts in Kingdom of the Saudi Arabia was 97.5%. It has been found that the average overall productivity efficiency was 90.2%, concerning the relative efficiency indicators of government hospitals, which were based on the hospitals’ distribution of Saudi Arabian districts in 2006. An analysis of the indicator showed that the average production efficiency of the services provided (internally) by the districts of the Kingdom of Saudi Arabia was 94.7%, and that the average of the external production efficiency for such services was 95.4%. The Data Envelopment Analysis is a successful technique in measuring the performance efficiency of hospitals and it also assists to identify possible improvement and reduction in cost.

scholarly journals RISK ANALYSIS OF INEFFICIENCY AT UKRAINE’S MACHINE BUILDING ENTERPRISES

2019 ◽  
Vol 2019 (3) ◽  
pp. 22-34
Author(s):  
Maryna AFANASIEVA ◽  
Keyword(s):  
Production Efficiency ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Value Added ◽  
Risk Groups ◽  
Analysis Data ◽  
Risk Identification ◽  
Machine Building ◽  
Distribution Law ◽  
Market Capture

The paper considers the risk identification of inefficiency concerning 51 Ukrainian joint-stock companies of machine building in 2012–2017. The value added at factor cost (VA) is determined as the resulting indicator of production efficiency, which is a source of income of various social groups, so it contributes to combined efforts. To support advanced production and management technologies, rather than an extensive market capture, the multiplicative model of VA has been suggested with the VA share in output to assess the quality processes within the enterprise. Economic analysis of the annual public financial statements and the structural statistics were conducted to study proportion between the cost elements in sum of expenses with link to profit in net turnover for the main operating activity. As a result the models of two types of risk coefficient have been proposed. It has been verified by statistical analysis. Data were checked on submission to normal distribution law by Shapiro – Wilk test and homogeneity by coefficient of variation. With the help of nonparametric analysis of variance by Kruskal – Wallis test and Spearman rank correlation coefficients; it has been proved that risk groups differ from other enterprises and from each other statistically significantly. We conclude that 37% of the sample enterprises are risky; a third of this is the large and medium-sized companies. Advantages of the method in comparison with Ward clusterization were shown. When making decisions about resource allocation, it should be confirmed that the enterprise is risk-free according to algorithms provided. To improve situation it needs to apply sustainable development concept.

scholarly journals Relative variability of phenotypic traits and indicators of milk productivity of cows

2021 ◽  
Vol 23 (95) ◽  
pp. 101-107
Author(s):  
Ye. I. Fedorovych ◽  
V. V. Fedorovych ◽  
P. V. Bodnar ◽  
S. I. Fyl ◽  
A. V. Dymchuk ◽  
...  
Keyword(s):  
Milk Yield ◽  
Correlation Coefficients ◽  
Live Weight ◽  
Dairy Herd ◽  
Reproductive Capacity ◽  
Phenotypic Traits ◽  
Body Measurements ◽  
Milk Productivity ◽  
Black And White ◽  
Relative Variability

The research was conducted on cattle of Black-and-White breed (Holstein and Ukrainian Black-and-White dairy breed) at LLC “Veleten” Glukhiv district of Sumy region (n = 1956) and PJSC “Breeding Plant “Stepnoy” of Kamyansko-Dniprovsk district of Zaporizhzhia region (n = 1981). Based on retrospective data analysis (“Uniform-Agri” – program of dairy herd management) for the period from 2004 to 2017 it was studied the live weight of cows in growing period (newborns, 6, 12; 18 months, at first insemination and after the first calving), body measurements of heifers (height at shoulders, chest depth, chest width, chest girth behind the shoulder blades, oblique body length, width of hips, wrist girth) and traits of reproducibility (age at first insemination, age at first calving, duration of service period, insemination index, fertility index) and milk productivity of cows (milk yields for 305 days, fat and protein content in milk for the first, second and third lactation). Based on our previously obtained data by correlation analysis method it was studied the relative variability of phenotypic traits and indicators of dairy productivity of cows. It is established that the connections of live weight of cows during their rearing with traits of milk productivity were multidirectional and ranged from slightly improbable to moderately significant values. At the same time, in both farms, the most significant highly probable connection was noted between the live weight of animals at the age of 12 months and the milk yield of first-borns that indicates the possibility of selecting heifers at the specified age to provide them future high milk productivity. There was significant variability of the relationship between body measurements and the amount of milk yield of cows for the first, second and third lactation. However, cows of both farms, had direct connection, but a bit weaker in animals at PJSC “Breeding Plant “Stepnoy”. Positive correlation coefficients between indicators of exterior and milk yields of cows give reasons to claim the efficiency of indirect selection of heifers by body measurements. Rational management of dairy farming and high profits depend a lot on knowledge of regularities of correlative variability of productive traits of cows and indicators of reproductive capacity. It is established that the connections between the traits of milk productivity and reproductive capacity of animals were different and ranged from weak to medium and from reliable to improbable. The most significant highly reliable, however, with negative correlation coefficients were observed between milk yield of cows for all studied lactations and their age at the first insemination and the first calving

Results of experimental work on the application of the aquacrop rotation practice in fish ponds in Iraq

2021 ◽  
pp. 56-67
Author(s):  
Farhan Yasin Hamed Farhan Yasin Hamed ◽  
Lydia Mikhailovna Vasilyeva ◽  
Natalia Viktorovna Sudakova ◽  
Ali Attala Muheisin ◽  
Adelia Zakirovna Anokhina
Keyword(s):  
Crop Rotation ◽  
Production Efficiency ◽  
Crop Yields ◽  
Fish Farming ◽  
Fish Ponds ◽  
Average Value ◽  
Fish Breeding ◽  
Feed Costs ◽  
The Cost ◽  
Fish Productivity

The use of the crop rotation method in fish farming makes it possible to increase fish productivity and crop yields in ponds. In the countries of the Middle East, in recent years, the Aqua Crop rotation practice has been developing, in particular, the consistent cultivation of fish and rice in fish ponds, which allows eliminating the contradictions between these crops and increasing production efficiency. In Iraq, an experiment was carried out on the variable cultivation of rice and carp in fish ponds for four years, with the aim of introducing this practice into the country’s agriculture. Four ponds, each with an area of 7.5 hectares, were involved. The research was carried out in two variants: in experiment No.1 rice was grown in the first year, fish in the second, then rice again and in the fourth year — fish, in the second experiment, on the contrary, at the beginning of the fish, then rice, etc. The fish-breeding season lasted 9 months (March to November). Fish-breeding indicators were studied in detail: survival rate, feed costs, fish productivity, the results of rice cultivation were judged by yield. In addition, indicators of economic efficiency were determined according to a simplified scheme. The results indicate that, in general, fish-breeding indicators turned out to be higher when growing fish in ponds after rice, so fish productivity increased by almost 30% with an average value of 3.9 t/ha, feed costs decreased, while rice yield increased by 15–16% and averaged 3.6 t/ha. The best fish-breeding indicators were obtained in the second experiment after rice was grown in the ponds for two years. Economic calculations confirmed the advantages of using the aquacrop rotation practice, so in the second experiment the cost of marketable fish decreased by 10%, and the profitability increased by almost 30%.

scholarly journals The Relationship between China’s Financial Industry Performance and Energy Elimination

2019 ◽  
Vol 81 ◽  
pp. 01023
Author(s):  
Jun-Qi Wu ◽  
Li-Chen Chou
Keyword(s):  
Energy Consumption ◽  
Production Efficiency ◽  
Mainland China ◽  
Financial Industry ◽  
Empirical Results ◽  
Annual Basis ◽  
Average Production ◽  
Industry Performance ◽  
Research Objects ◽  
The Relationship

Taking the provinces, autonomous regions and cities in mainland China as the research objects, this paper collects and collates the data of production, input and energy consumption of the financial industry from 2009 to 2014, and analyzes the production efficiency of each region. The empirical results show that the production efficiency of all prefecture-level cities is 0.782. If analysed on region basis, the average production efficiency of prefecture-level cities is the highest in the eastern provinces, followed by the central provinces and the lowest in the western provinces. If analysed on annual basis, the distribution of production efficiency shows a trend of decline during 2009-2010 and increase after 2012.

Feed conversion efficiency as a key determinant of dairy herd performance: a review

2007 ◽  
Vol 47 (6) ◽  
pp. 645 ◽  
Author(s):  
D. E. Beever ◽  
P. T. Doyle
Keyword(s):  
Milk Production ◽  
Conversion Efficiency ◽  
Dry Matter ◽  
Dairy Herd ◽  
Farming System ◽  
Feed Conversion ◽  
Dairy Farmers ◽  
Feed Conversion Efficiency ◽  
Stage Of Lactation ◽  
Feed Costs

This paper focuses on dairy herd performance in the United Kingdom and southern Australia, where feed costs have been estimated to comprise between 40 and 67% of the total costs of production. The efficiency of conversion of grazed pasture, home grown forages and purchased feeds into milk has a major bearing on farm profit. Feed conversion efficiency (FCE), defined as ‘kg milk of standardised composition with respect to protein and fat concentrations produced per kg feed dry matter consumed’, is a useful measure of the performance of a farm feeding system, but is seldom used by dairy farmers. It could also be defined as ‘g protein plus fat produced per kg feed dry matter consumed’, given that farmers are often paid for these components. The value of estimating FCE on an annual or shorter-term basis is discussed in relation to accepted principles of feed utilisation and dairy cow energy requirements. The implications of feed intake, conversion of ingested nutrients into absorbed nutrients and the subsequent utilisation of these nutrients for milk production or other purposes, as well as the effects of stage of lactation on FCE, are reviewed. Measuring FCE and identifying opportunities for improvement is relatively straightforward in housed feeding systems, but is more problematic under grazing. Hence, approaches and the key assumptions in estimating FCE in grazing situations, as well as possible limitations of these estimates, are discussed. Finally, a case study examining the potential impact of improved nutritional strategies on FCE and on margin over feed costs is presented. It is concluded that, to remain profitable, dairy farmers need to have a sound knowledge of cow nutrition, along with appropriate measures of FCE to monitor the performance of their milk production system. Such indicators of the biological performance of the farming system are most useful when used in conjunction with appropriate measures of economic performance.

An evaluation of estimating and indexing methods to simplify the determination of management treatment effects on raspberry yields

2003 ◽  
Vol 83 (1) ◽  
pp. 141-147 ◽  
Author(s):  
C. G. Kowalenko
Keyword(s):  
Treatment Effects ◽  
Correlation Coefficients ◽  
Crop Management ◽  
Rubus Idaeus ◽  
Individual Treatment ◽  
Index Method ◽  
Significant Treatment ◽  
Nutrient Effects ◽  
Biomass N ◽  
Index Methods

The effectiveness of using several proposals to estimate or index yield and size of raspberries as an alternative to picking berries as they ripen was examined in two field plot trials over two seasons at two locations in south coast British Columbia. The evaluation included examination of general correlations of the proposed estimate and index values with fresh picked yield, comparison of the significant nutrient and inter-row management treatment effects on proposed method values with effects on fresh picked yield values, influence of individual cane variability to distinguish significant treatment effects, and the effect of N on plant components used to derive the estimate and index method. Correlation coefficients for all yield estimate and index method values with fresh picked yields were generally good. Crop management treatment effects determined by the estimate and index values, however, were not the same as determined by harvesting the berries as they ripened. This showed that the estimate and index method values were biased relative to picked yield. Cane-to-cane variability within individual treatment plots was sufficiently large that differences between treatments had to be greater than 10 to 15% to be significant at P < 0.05 when five canes were randomly sampled for index component measurements to represent the plants in the plot. The five canes sampled for each plot were 5 to 10% of all the floricanes in the plots of this study. The concentration and biomass N measurements that were possible on the floricane components that were sampled for the index methods showed that management treatments of the two trials of the study could have influenced berry development, and hence contributed to the bias of the estimate and index method values relative to fresh picked yield. Although the estimate and index methods were generally quite well correlated with fresh picked yield, caution is advised when they are used directly as alternatives to fresh picking to evaluate crop management treatment effects on berry yield. Further knowledge about the physiological changes that occur during berry ripening may provide opportunities to improve the estimate and index measurements. Key words: Raspberry, Rubus idaeus L., yield estimate, yield index, nutrient effects, nitrogen effects

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