scholarly journals FACTORS INFLUENCING CHANGES OF BEEF CATTLE HERD QUANTITY AND SIZE: CASE OF LATVIA

Author(s):  
Andra ZVIRBULE ◽  
Raivis ANDERSONS

Beef production volumes in Latvia have been different over a long period of time, beef output growth has been noted, as well as its sharp decrease, so it is important to analyze, what are the most important factors that are affecting beef production volumes, that will give an idea of the possibilities for beef market regulation. Consequently, the study objective can be defined: Identify factors affecting beef production in Latvia. For this research statistical methods, correlation analysis, induction, deduction, analysis and synthesis were used. These methods gave an accurate picture of factors that are affecting beef production volumes. According to the results, it can be concluded that beef production volumes are significantly affected by such factors as demand for beef. The results of this research indicate that Latvia beef production volumes are affected by the market demand. As an essential factor for increasing the number of beef cattle in Latvia, export opportunities are available where increasing amount of fresh or chilled beef exported in EUR is increasing the number of suckler cows, where there is a close positive relationship (r = 0.76), which indicates an increase in demand from Latvian meat beef holding output. The quality of the soil in the region and climatic conditions will affect the specialization of farms. The largest number of bovine animals is grown in regions of Vidzeme and Latgale, where average cereal production is lowest per hectare. Pierīga and Zemgale regions have high crop yields on average per hectare, so in this region the number of bovine animals is the smallest.

Author(s):  
Yaropud Vitaliy ◽  
Volyk Borys

Modern agricultural production persistently requires solving the problems of increasing crop yields, preserving the effective and potential soil fertility on the basis of resource-saving soil-protective technologies that provide complex mechanization of all technological operations with a significant reduction of energy costs. Of particular relevance is the problem of reducing or completely eliminating the proportion of manual labor when performing the most time-consuming technological operations. A significant reserve for improving the efficiency of land use, increasing the yield of crops is the reduction of time and a significant improvement in the quality of technological operations of tillage. Known tools with needle working bodies, intended for early spring, pre-sowing and harvesting small surface loosening of stubble background in areas with soils that are prone to wind erosion, are inefficient, and increasing their speed leads to a sharp decrease in quality. Crop productivity is the result of the interaction of many factors and conditions, the most important of which are: soil fertility, nature of plants, soil and climatic conditions and mechanized tillage technology. The current level of crop culture requires the search for new resource-saving technologies and machines that fully meet the agrobiological requirements of cultivated plants. In this regard, there is a need to rationalize the use of surface tillage, increase their fertility, as well as protection against erosion. The results of researches of the designs of machines and technologies of surface tillage showed that on the slope lands the most promising is the reception of tillage with leveling of the surface and creation of a micro-cellular structure of the bottom of the loosened layer with fulfillment of all agrotechnical requirements. On the basis of the analysis of the body of the hedgehog, the elements of functional identification with the rotary harrow disc needle are substantiated. The possibility of adopting the needle control mechanism structure as a biological analogue of the mechanism of elastic attachment of needles to the disc of the harrow has been proved. The design of a disk and variants of execution of needles is offered.


1995 ◽  
Vol 35 (7) ◽  
pp. 825 ◽  
Author(s):  
PR Poulton

This paper gives examples of how long-term experiments can be used t o improve our understanding of sustainable farming systems. Rothamsted conducts more than 20 long-term (>20 years) experiments in south-eastern England; several were started in the middle of the last century. Some have continued with minor changes, others have been modified considerably t o ensure their continuation and relevance. Examples are given of the effect on soils and crop yields of organic matter, the availability of P, and acidification. The use of archived material in addressing problems not even considered when the experiments began is also discussed. Long-term experiments are essential in determining the factors affecting soil fertility and sustainable production. In many cases, effects may only be observed or interactions become apparent over an extended time. Full use should be made of existing experiments and data; in particular, those on different soil types and under different climatic conditions should be compared so that the information is valuable to farmers, advisers, legislators, and other scientists in both the local and wider community.


Author(s):  
Nikolaj Dobrzinskij ◽  
Algimantas Fedaravicius ◽  
Kestutis Pilkauskas ◽  
Egidijus Slizys

Relevance of the article is based on participation of armed forces in various operations and exercises, where reliability of machinery is one of the most important factors. Transportation of soldiers as well as completion of variety of tasks is ensured by properly functioning technical equipment. Reliability of military vehicles – armoured SISU E13TP Finnish built and HMMWV M1025 USA built were selected as the object of the article. Impact of climatic conditions on reliability of the vehicles exploited in southwestern part of the Atlantic continental forest area is researched by a case study of the vehicles exploitation under conditions of the climate of Lithuania. Reliability of military vehicles depends on a number of factors such as properties of the vehicles and external conditions of their operation. Their systems and mechanisms are influenced by a number of factors that cause different failures. Climatic conditions represent one of the factors of operating load which is directly dependent on the climate zone. Therefore, assessment of the reliability is started with the analysis of climatic factors affecting operating conditions of the vehicles. Relationship between the impact of climatic factors and failure flow of the vehicles is presented and discussed.


Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1278
Author(s):  
Anna Turysheva ◽  
Irina Voytyuk ◽  
Daniel Guerra

This paper presents a computational tool for estimating energy generated by low-power photovoltaic systems based on the specific conditions of the study region since the characteristic energy equation can be obtained considering the main climatological factors affecting these systems in terms of the symmetry or skewness of the random distribution of the generated energy. Furthermore, this paper is aimed at determining any correlation that exists between meteorological variables with respect to the energy generated by 5-kW solar systems in the specific climatic conditions of the Republic of Cuba. The paper also presents the results of the influence of each climate factor on the distribution symmetry of the generated energy of the solar system. Studying symmetry in statistical models is important because they allow us to establish the degree of symmetry (or skewness), which is the probability distribution of a random variable, without having to make a graphical representation of it. Statistical skewness reports the degree to which observations are distributed evenly and proportionally above and below the center (highest) point of the distribution. In the case when the mentioned distribution is balanced, it is called symmetric.


Author(s):  
Bernardina Algieri ◽  
Arturo Leccadito

Abstract This study presents a set of integer-valued generalised autoregressive conditional heteroskedastic models to identify possible transmission channels of joint extreme price moves (coexceedances) across a group of agricultural commodities. These models are very useful to identify factors affecting joint tail events and they are superior in terms of goodness of fit to models without autoregressive components. Emerging market demand, crude oil, exchange rate, stock market conditions and credit spread explain extreme joint returns. Psychological factors and the Monday effect play a role in affecting extreme events, while weather anomalies (El Niño and La Niña episodes) do not have explanatory power.


1979 ◽  
Vol 11 (1) ◽  
pp. 101-105
Author(s):  
B. R. Eddleman ◽  
J. E. Moya-Rodriguez

Many decisions made by farm producers are based on expectations. The process of formulating and incorporating these expectations into decision making is difficult when high variability occurs in product prices, crop yields, production costs, or other factors affecting net income. Farm producers may be influenced by a number of goals in selecting combinations of crops to produce and marketing outlets for the crops. Two goals generally held to be important to farm decision makers are maximization of net income and net income stability. Given the price, yield, and cost of production variability characteristics of a farm enterprise and these two goals of farm decision makers, a fundamental problem is to determine what combination of alternative marketing actions can best satisfy the two objectives. A systematic examination of the relationship between the level of net income and net income variability for combinations of marketing alternatives would aid farmers in deciding on marketing actions to attain these goals.


Author(s):  
Colby A. Redifer ◽  
Natalie B. Duncan ◽  
Allison M. Meyer

Author(s):  
O.A. Karpova ◽  
◽  
V.A. Semenikhin ◽  
B.A. Balandovich ◽  
◽  
...  

Abstract: Introduction. In the context of the COVID-19 pandemic, it is necessary to look for new approaches to the prevention, diagnosis and treatment of skin diseases in the working population. Study objective. To study the hygienic influence of harmful and dangerous factors of the working environment and the severity of the labor process on the structure of the general dermatological morbidity in railway transport workers who ensure the safety of train traffic in the conditions of the COVID-19 pandemic. Materials and methods. The complex of harmful production factors affecting railway transport workers was studied according to the sanitary and hygienic characteristics of the working conditions of employees of the Altai region of the West Siberian Railway of JSC "Russian Railways". The structure of the general dermatological morbidity was studied according to the statistical coupons of outpatient patients who applied to a dermatovenerologist in the CHUZ " CB "Russian Railways-Medicine" Barnaul for the period 2019-2020. Results. The conducted complex of hygienic, epidemiological and statistical studies showed that the combined impact of chemical, meteorological, physical, biological harmful production factors and the severity of the labor process (class 3.1-3.5) in railway transport workers who ensure the safety of train traffic leads to the development of such production-related skin diseases as contact dermatitis and psoriasis. In the context of the COVID-19 pandemic, skin infections (62.8%) predominate over non-infectious dermatoses in the structure of the total dermatological morbidity. The share of primary morbidity increased to 90.8%. The first rank is occupied by pyoderma (47.5%), the second – allergodermatoses (20.0%), the third – mycoses (11.6%). Conclusion. The COVID-19 pandemic leads to changes in the epidemiological and clinical features of dermatoses in the working population, which must be taken into account in their prevention, diagnosis and treatment.


1955 ◽  
Vol 14 (4) ◽  
pp. 970-978 ◽  
Author(s):  
George Nelms ◽  
Ralph Bogart

2018 ◽  
Vol 21 (2) ◽  
pp. 81-98
Author(s):  
Mehmed Ganić

This paper provides an empirical analysis of factors affecting Bank Interest Margins in eight countries of the South‑East European (SEE) region between 2000 and 2014. The purpose of this paper is to examine and investigate the main drivers of Bank Interest Rate Margins across selected countries throughout the SEE region. Also, the study explored the relationship between the dependent variable Interest Rate Spread (IRS – as a proxy variable for measuring variation in Bank Interest Rate Margins) and a set of selected banks’ specific variables in SEE by employing panel data estimation methodology. This research is based on aggregate data for the whole banking sector of each country. In line with some expectations, our findings confirm the importance of credit risk, bank concentration operative efficiency, and inflation expectations in determining Bank Interest Rate Margins. Interestingly, in contrast to the majority of recent empirical research, the study found an inverse relationship between the bank concentration variable and Bank Interest Rate Margins as well as between the operational efficiency variable and Bank Interest Rate Margins. Also, the study could not find statistically significant evidence that Bank Interest Rate Margins are determined by output growth, bank profitability (measured by ROA) or liquidity risk.


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