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Baking quality of winter wheat (Triticum aestivum L.) in the long-term experiments on chernozem soil
152-156Views:100Agriculture has traditionally an important role in Hungarian economy and rural development. About 75 % of Hungary’s total territory
is under agricultural land use. Because of ecological conditions and production traditions cereals (wheat, maize etc) have the greatest
importance in Hungarian crop production. In the 1980’s the country-average yields of wheat were about 5,0-5,5 t ha-1 („industrial-like”
crop production-model). In the 1990’s the yields of wheat dropped to 4,0 t ha-1 because of low input-using and wide application of the issues
of environmental protection and sustainability. Winter wheat production for quality has a decisive role in certain regions of Hungary
(eastern and middle-parts).
The quality of wheat is complex and different. Three major growing factor groups determine the quality of winter wheat: genotype,
agroecological conditions and agrotechnical factors. In wheat production for quality the selection of the variety is the most important
element. Our long-term experiments proved that the quality traits of a variety means the highest (maximum) limit of quality which could not
be exceeded in fact. During the vegetation period of wheat the different ecological and agrotechnical factors could help or on the contrary
could demage the quality parameters of wheat.
The agrotechnical factors determining the baking quality of wheat can be divided into two groups: the first group means the factors with
direct effects on quality (fertilization, irrigation, harvest); the second group contains the elements with indirect effects on quality (crop
rotation, tillage, planting, crop protection).
Appropriate fertilization could help to manifest the maximum of quality parameters of a wheat genotype and could reduce the qualityfluctuation
in unfavourable ecological and agrotechnical conditions. -
Efficiency of Fertilization in Sustainable Wheat Production
59-64Views:124In sustainable (wheat) production plant nutrition supply and fertilization play decisive roles among the agrotechnical elements, because of their direct and indirect effects on other agronomical factors.
In long-term experiments, we studied the roles of agroecological, genetic-biological and agrotechnical factors in the nutrient supply, fertilization and its efficiency in wheat production under continental climatic conditions (eastern part of Hungary, Trans-Tisza) on chernozem soil. Our results have proved that there are different (positive and negative) interactions among ecological, biological, and agrotechnical elements of wheat production. These interaction effects could modify the nutrient demand, fertilizer (mainly nitrogen) response of wheat varieties and efficiency of fertilization in wheat production.
The optimum N-doses (+PK) of wheat varieties varied from 60 kg ha-1 (+PK) to 120 kg ha-1 (+PK) depending on cropyears, agrotechnical elements and genotypes. The winter wheat varieties could be classified into 4 groups according to their fertilizer demand, natural and fertilizer utilization, fertilizer response and yield capacity.
Appropriate fertilization (mainly N) of wheat could affect both the quantity and quality of the yield. By using optimum N (+PK) fertilizer doses, we could manifest genetically- coded baking quality traits of winter wheat varieties and reduce quality fluctuation caused by ecological and other management factors. The efficiency of fertilization on different baking quality parameters (wet-gluten, valorigraph index etc) were variety specific (the changes depended on genotypes).
Our long-term experiments proved that appropriate fertilization provides optimum yield, good yield stability and excellent yield quality in sustainable wheat production. We could this get better agronomic and economic fertilization efficiency with less harmful environmental effects. -
The effect of nickel-contamination, nitrogen-supply and liming on the chemical composition of perennial ryegrass (Lolium perenne L.)
85-92Views:107Plant-production is determined by many production-factors. Each of these factors became subject of research-works through the years, still we state, that studying their interaction is even more important. For studying these interactions we set up a potexperiment, within that the direct effect and the interactions of four factors was inspected: soil, nitrogen-supply, nickel-loading and liming. Experiments were carried out on two soil types with extremely different characters: one was a chernozem soil with good fertility and buffering capacity, the other was a shifting sand soil with low humus-content and buffering capacity. Nitrogensupply and liming was added on two levels, while nickel on three within 12 combinations on each soil types. Plant production was cut two times within the vegetation period. The amount of production and dry matter was weighted, fractured and their element-content was measured by an ICP-detector.
Ca-content on the shifting sand soil was determined by all three factors, however the interaction between nickel-loading and liming was also significant. Nitrogen and liming increased Cauptake, that is due to appropriate nutrient-supply and improvement of a better pH-value. On the chernozem soil nitrogen and CaCO3 also increased the Ca-content. This is caused by a better nutrient supply and a higher amount of available Ca-ions.
On the shifting sand soil nickel content was increasing parallel to higher nitrogen-dosages. In presence of higher nickelamount the nickel-content of plants was also increasing, still according to liming, this increment was different. On the chernozem soil nitrogen a nickel increased Ni-uptake. However, liming also had a positive effect on Ni-content, that can be explained by the high amount on colloids in the soil, the adsorption of Ni-ions on them and in presence of liming material the replacement of Ca-and Ni-ions.
The potassium-content on the shifting sand soil was different in each liming-combination. In combinations without nickel the potassium-content of limed and not limed combinations was on the same level. In not limed combinations by adding nickel potassiumcontent was increasing, while in limed combinations no change was observed. On the chernozem soil by adding liming material the amount of uptaken potassium was decreasing, that is due to the antagonism between Ca- and K-ions. -
Evaluation of critical factors determining the profitability of sweet maize
97-102Views:136The main goal of this analysis was to determine, whether the production of sweet corn competitive is from the point of view of profitability and identify the main factors determining profitability. The hypothesis of this research was that sweet corn production is profitable and output factors (yields, selling prices) affect most significantly the profitability. The total costs of production with irrigation are 560 000 HUF ha-1. Average yield is 18 t ha-1, while selling prices on average of the last 5 years were about 38 000 HUF t-1. The realisable profit in the sector was 248 828 HUF ha-1. Direct cost-related profitability was 48.6% and profit level 26%. Elasticity analysis pointed out that the changes of selling prices and yields affect profitability. The critical value shows the turning point of profitability, which was at the yield of 13.82 t ha-1. It can be concluded, the hypothesis was true, because sweet corn production was profitable compared to other field crops.
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The possibilities and limitations of organic fruit production
41-45Views:83In this review, direct and indirect technological elements of organic production are discussed. Today, there is a growing interest in production prepared without chemicals. We discuss the following issues: site selection, soil, rootstock and cultivar requirements, plant material, planting distances, crown formation, phytotechical operation, irrigation, soil tillage, soil covering and muchning, nutrition supply. Separate section deals with methods of plant protection.
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Comparative analysis in residential property price level and price dynamics in urban and rural areas of Hajdú-Bihar County
85-90Views:141In modern market economies residential real estate prices, price shifts and their correlations with macroeconomic factors are surveyed quite frequently. However, in contrast with the wide scope of foreign examples, so far existing analyses in Hungary have ignored examining relation and extensity of macroeconomic indicators and failed to examine their effect on real estate pricing. The scope of this survey is to highlight these potential correlations and thus develop new aspects of analysis. Although the examination needs further extension both in time and space, the results of this survey may help to understand the importance of the responsible management of the most precious element of national wealth from the perspective of sustainable rural development.
Based on my preliminary results, there exists a strong correlation between the number of inhabitants of a settlement and the average real estate prices. Nevertheless, the correlation seems to be significant only for cities. In the case of smaller settlements the correlation still exists but at a lower level. As opposed to the results of former publications and my own expectations, no direct link could be tackled between the amount of income tax paid by private individuals and real estate prices either in the cities or in the villages within the territory and time span examined in my analysis. Although this correlation is measurable on a macro-economic level, my micro-regional analyses revealed the complexity of asset pricing and price volatility. Continuing this survey, my goal is to identify the hidden factors influencing real estate prices, whose thorough mapping may promote conscious rural development.
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Agronomical and Economic Evaluation of Different Soil Cultivation Systems
17-22Views:88In the interest of profitable plant production and environmental protection we have to make an effort to protect and improve the productivity of our soils while moderating production limiting factors. Due to different soil cultivation methods, the quantity of yield and required expenses also differ.
We examined the production costs in four different production technology systems. Overall, it can be said that farming standards are good, since cost prices were low (2001: 14-15 HUF/kg, 2002: 15-21 HUF/kg, 2003: 39-49 HUF/kg) in the case of all main products per 1 kg. Cost prices were lowest in the case of direct sowing, probably due to low machinery costs.
All economic indicators have to be compared when choosing the most suitable production technology in a specific farming environment. -
Agronomical and Economic Evaluation of Different Soil Cultivation Systems
255-258Views:84In the interest of profitable plant production and environmental protection we have to make an effort to protect and improve the productivity of our soils while moderating production limiting factors. Due to different soil cultivation methods, the quantity of yield and required expenses also differ.
We examined the production costs in four different production technology systems. Overall, it can be said that farming standards are good, since cost prices were low (2001: 14-15 HUF/kg, 2002: 15-21 HUF/kg, 2003: 39-49 HUF/kg) in the case of all main products per 1 kg. Cost prices were lowest in the case of direct sowing, probably due to low machinery costs.
All economic indicators have to be compared when choosing the most suitable production technology in a specific farming environment. -
Agronomical and economic evaluation of different soil cultivation systems
47-52Views:92In the interest of profitable plant production and environmental protection, we have to make an effort to protect and improve the productivity of our soils while moderating production limiting factors. Due to different soil cultivation methods, the quantity of yield and required expenses also differ.
We examined the production costs in four different production technology systems. Overall, it can be said that farming standards are good, since cost prices were low (2001: 14-15 HUF/kg, 2002:15-21 HUF/kg, 2003: 39-49 HUF/kg) in the case of all main products per 1 kg. Cost prices were lowest in the case of direct sowing, probably due to low machinery costs.
All economic indicators have to be compared when choosing the most suitable production technology in a specific farming environment. -
Microbiological quality of bulk tank raw milk from two dairy farms in Hajdú-Bihar County, Hungary
105-112Views:327Two main channels have been identified to be responsible for microbiological contamination of raw milk and milk products. Firstly, contamination has occurred due to udder infection from the cow or the blood which harbours most bacteria that come in contact with the raw milk. Secondly, via external factors (may include faeces, skin, contaminated water, environment etc.) which are associated with the operation of milking. There is direct contact with the milk and/or surfaces before, during or after the milking, posing public health risk and economic decline. The aim of this study was to examine the bacteriological quality of bulk tank raw milk samples collected from two different size dairy farms (Farm 1 and Farm 2) of different housing forms (cubicle loose and deep litter) in Hajdú-Bihar County, Hungary in July, 2017. Three samples were taken from each farm, and the total plate count, coliform count, Escherichia coli count, Staphylococcus aureus count, and yeast and mould count were determined in them.
The results clearly showed low level of all measured bacteria group load in Farm 1 samples in comparison to Farm 2 with the exception of coagulase-negative Staphylococcus (CNS) which represented high level in general, indicating significant difference (P<0.05). The mean value of total plate count in Farm 2 samples was higher (1.0 × 105 CFU/mL) than Farm 1 samples (2.8 × 104 CFU/mL). There was a significant difference (P<0.05) in mean count of coliforms in raw milk samples between Farm 1 and Farm 2. Similarly, results of E. coli were significantly different (P<0.05) with mean count of 1.44 × 102 CFU/mL and 2.02 × 103 CFU/mL for Farm 1 and Farm 2 respectively.
Results of Staphylococcus aureus also showed significant difference (P<0.05) with mean count of 9.7 × 101 CFU/mL for Farm 1 and 6.28 × 102 CFU/mL for Farm 2. The mean of mould count recorded was 1.07 × 102 CFU/mL and 4.93 × 102 CFU/mL for Farm 1 and Farm 2 respectively. The recorded mean of yeast count was 1.68 × 103 CFU/mL and 3.41 × 103 CFU/mL for Farm 1 and Farm 2 respectively; however, both farms showed no significant difference (P>0.05) in terms of mean of mould and yeast count. Although Farm 2 produced six times lower milk quantity than Farm 1, the measured microbial parameters were high. Both farms’ microbiological numbers were higher above the permitted limit values as stated by Regulation (EC) No 853/2004, Hungarian Ministry of Health (MoH) 4/1998 (XI. 11.).
This could be an indication of non-conformance to effective GMP, ineffective pre–milking disinfection or udder preparation, poor handling and storage practice, time and temperature abuse and inadequate Food Safety Management System Implementation. Therefore, our recommendation is as follows; establish control measures for pre- and postharvest activities involved in the milking process which would be an effective approach to reduce contamination of the raw milk by pathogenic microorganisms from these farms, strict sanitation regime and hygiene protocol be employed and applied to cows, all equipment, contact surfaces and minimize handling of the milk prior, during and after milking. This will also serve as scientific information to the producers for continual improvement in their operations.
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Genetic Diversity of Hair Colour in Horses
40-45Views:94The main aim of this study was to analyze sources of variability for coat colour expressed as a quantitative trait as well as to determine non genetic factors influencing horse colour variation and shades. Traditional Hungarian horse breeds such as Lipizzan (grey), Gidran (chestnut), Shagya Arabian and Arabian Pure Bred (grey) and Nonius (bay and black) horses were involved in the current study. We report results using direct measurements of horse coat colour using objective colorimetric dimensions and a spectrophotometer for determining hair melanin. Correlation analysis indicated that the single biological component that correlated best with the total melanin content of horse hair is the L* value (r=-0.858, p<0.0001). Subjective colour classes and coat colour variables L* and a* were obviously related, with R2 values of 0.88 and 0.46 respectively, with a lower R2 for b* of 0.22 (all p<0.001).