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Interaction of yield stability and year in major agricultural crops
Published September 7, 2001
41-46

The effect of hydro-meteorological extremities on plant cultivation is the result of the correlation of many factors. These may increase or decrease the effects of hydro-meteorological extremes. The degree of this variance depends on the professionality of treatments, on the quality of the applied technique and technology and also on the soil...s water management characteristics.
The water management characteristics of Hungary’s arable land are mainly unfavorable or medium. In the past two decades the conditions of originally good soils, from a water management aspect, have significantly deteriorated in the critical 0-60 cm soil layer. This is mainly due to unprofessional land use, a lack of deepening cultivation and neglected organic cultivation. At the same time, hydro-meteorological extremities occur more frequently and the sensibility of plant cultivation has increased.
The sensibility of plant cultivation is type and location specific, yet, it also effects both the quality and quantity of the result.
The stability analysis, which covered the period of four decades and incorporated 6-7 agro-ecological areas proves and highlights the following:
• Winter wheat only reacted to extensive cultivation and unfavorable environmental conditions to a small degree. On the other hand, the effect of hydro-meteorological extremities increases.
• The stability analysis of maize, which is sensitive to cultivation technology and the location of cultivation, proved just the opposite. Good soil and adequate technology significantly reduces the effect of any particular year.
• From the years examined, the most favorable proved to be the one with average precipitation. Maize reacted to both extremities in a similar way. Winter wheat reacted to more precipitation with less yield.
• The yield quality of winter wheat was negatively effected by drought. The negative effect of precipitation is limited to the period of ripening and harvest, so the likelihood of such an effect is not significant.
• The yield of sunflower – due to pests – significantly reduces in years with high precipitation, while a difference between dry and average years cannot be pinpointed out. The oil content in both dry years and in years with high precipitation is evident, compared to years with average precipitation.
• The root yield of sugar beet is reduced by drought while the sugar content depends on soil characteristics and climatic extremities. A difference could also be noted by location, whether in Western Hungary and on the Great Plain. Great sugar content can be achieved in years with high precipitation in Western Hungary, while the same result occurred with average precipitation on the Great Plain. Drought did not have a positive effect on sugar content in either location.

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Impact of weather on the spring crops yield in Croatia with emphasis on climatic change and the 2014 growing season
Published October 24, 2016
41-46

Main field crops in Croatia are maize, soybean, sunflower and sugar beet. By these crops are covered (status 2014) close to 50% (385 234 ha) of utilized arable land. Global warming, have often adverse influence on field crop yields. Aim of this study was testing precipitation and temperature regimes on spring crops yield in Croatia in 15-year p...eriod (1999–2013) and elaboration of the 2014 growing season with aspect of climatic change.

Four growing seasons (2000, 2003, 2007 and 2012) were less favorable for maize because annual yield was bellow 5 t ha-1 (average 4.38 t ha-1), while in four more favorable years (2005, 2008, 2009 and 2010) annual yield was above 6.8 t ha-1 (average 7.32 t ha-1). Average precipitation and temperature for the April-September period in Osijek were 226 mm and 496 mm, 19.6 oC and 18.6 oC, for less and more favorable years, respectively. Yields of soybeans and sugar beet have mainly similar trend as maize yields in function of weather conditions, while sunflower is more susceptible to extremely moist growing seasons (for example, 2001 and 2005: 650 mm and 697 mm precipitation and very low yields in level 1.7 and 1.6 t ha-1, respectively). On the other side, under drought conditions of 2003, 2007 and 2012, yields of sunflower were above average in range from 2.5 to 2.7 t ha-1), while at same period yields of maize, soybean and sugar beet were drastically reduced.

Average precipitation in the April-September period of 2014 for eight selected sites of Croatia was 756 mm or for 68% higher in comparison with the long-term average 1961–1990 with variation among the sites from 520 mm in Osijek to 910 mm in Varazdin. On the other side, average air-temperature in 2014 was 17.8 oC or for 0.7 oC higher with variations among the sites from 17.2 oC in Daruvar and Varazdin to 18.2 oC in Osijek and 18.3 oC in Gradiste. Under these favorable weather conditions, annual yields of maize (8.1 t ha-1), soybeans (2.8 t ha-1) , sunflower (2.9 t ha-1) and sugar beet 63.6 t ha-1) were considerable higher than usual.

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The Role of Cultivation Systems in Quality Sugar Beet Production
Published December 6, 2005
134-138

Producing sugar beet, as it is a demanding field crop, has contributed to the raising standard of plant production. It has an outstanding place among the plants that are cultivated in the intensive plant production system. Rentability of sugar manufacture is determined by the stability of yield and the quality (saccharose content) of sugar beet.... In this way, the fundamental interest both of the producers and the processing industry is high yield and quality, year by year. The yield and the quality of the sugar beet are mainly determined by the plant production system, so we studied the effect of fertilization, irrigation and plant protection.

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Examination of Possibilities for Increasing Sugar Content
Published May 11, 2003
202-206

The result of sugar beet production is highly effected by the quality and the yield. Those agricultural techniques are very important which can be applied at low cost to improve these parameters. Such an opportunity is to increase sugar yield by foliar fertilization with nutrients and by treatment with bioactive fungicides.
In my small block... trial I examined the effect of the magnesium and strobilurin active ingredients in different combinations and at different application times on the quality and the yield of sugar beet.
I found that there was a signifficant increase in sugar content on that blocks which were treated with a bioactive ingredient combined with magnesium in the middle of July and on those which were sprayed with bioactive ingredient in August.

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Spatially Discrete GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
Published March 4, 2006
32-37

Fulfilment of the increasing quality requirements of sugar beet production can be analysed with sampling of plants and soil at the cultivated area. Analyses of the spatial characteristics of samples require exact geodetic positioning. This is applied in practice using GPS in precision agriculture. The examinations were made in a sample area loc...ated in north-western Hungary with sugar beet test plant. According to the traditional sample taking procedure N=60 samples were taken in regular 20 x 20 m grid, where besides the plant micro and macro elements, the sugar industrial quality parameters (Equations 1-2) and the agro-chemical parameters of soils were analysed. Till now, to gain values of mean, weighted mean and standard variance values, geometric analogues used in geography were adapted, which correspond to the mean centre (Equation 3), the spatially weighted mean centre (Equation 4), the standard distance (Equation 5), and the standard distance circle values. Robust spatial statistical values provide abstractions, which can be visually estimated immediately, and applied to analyse several parameters in parallel or in time series (Figure 1). This interpretation technique considers the spatial position of each point to another individually (distance and direction), and the value of the plant and soil parameters. Mapping the sample area in GIS environment, the coordinates of the spatially weighted mean centre values of the measured plant and soil parameters correlated to the mean centre values showed a northwest direction. Exceptions were the total salt and calcium-carbonate contents, and the molybdenum concentration of the soil samples (Table 1). As a new visual analysis, the spatially weighted mean centre values of the parameters as eigenvectors were projected to the mean centre values as origin. To characterize the production yield, the raw and digested sugar contents of the sample area, the absolute rotation angles of the generated vectors were determined, which indicate numerically the inhomogenity of the area (Figure 2). The generated spatial analogues are applicable to characterise visually and quantitatively the spatial positions of sampling points and the measured parameters in a quick way. However, their disadvantage is that they do not provide information on the tightness and direction of the spatial correlation similarly to the original statistical parameters.

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Long term researches regarding the irrigation influence on sugarbeet crop inthe Crisurilor Plain
Published May 6, 2013
11-15

...5); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">The paper is based on the researches carried out in the long term trial placed on the preluvosoil from Agricultural Research and Development Station Oradea, Crisurilor Plain in during 1976–2012.

The soil water reserve in 0–75 cm depth decreased bellow easily available water content every year and in 32% of years the soil water reserve decreased bellow wilting point. For optimum water supply an irrigation rate of 2665 m3 ha-1 (variation interval 500–5090 m3 ha-1) was needed.

The irrigation determined improving of water/temperature + light report (Domuta climate index) with 47.4% in average in the period May–September. A statistically very significant connection was quantified between this indicator and the yield.

Daily water consumption increased in the irrigated variant, the biggest difference in comparison with unirrigated variant was registered in August, 86% in comparison with unirrigated variant. As consequence, the value of the total water consumption increased with 50%, variation interval was 11–154%. The irrigation covered 37.8% of total water consumption, the variation interval was 8.3%–67.9%.

The yield level of the sugarbeet increased in average with 61%, the variation interval was 9–227%. Standard deviation was lower in the irrigated variant and this emphasizes an improve of the yield stability with 25.1%. The sugar content of the sugarbeet roots from irrigated variant increased statistically very significantly in the droughty years and differs significantly in the rainy years.

Water use efficiency increased in the irrigated variant with 7% and irrigation water use efficiency was between 7.9 kg yield gain 1 m-3 irrigation water and 17.4 kg yield gain 1 m-3 irrigation water.

The positive influence of the irrigation on microclimate, water consumption, yield level, stability and quality and on water use efficiency sustain the need of the irrigation in sugarbeet from Crisurilor Plain.

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Spatially Continuous GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
Published March 4, 2005
56-61

The homogeneity of a study area of 20x20 m used for beetroot production in North-West Hungary was analysed with geo-statistical methods on the basis of measured plant and soil parameters. Based on variogram calculations (Equation 1 and 2), the yield surface showed homogeneity in North-South direction. Considering the results, decrease of sampli...ng distance to 17 m can be suggested. The direction of the variability of yield (Figure 1) could be modelled with a direction variogram based on analysis of the variogram surface. In the study, developed methodological processes are presented for the analysis of spatial relationship between measured production and soil parameters. 5 spatial evaluation methods for yield surface were compared (Table 1). On the basis of the analysed methods, it can be stated that different methods (LP, RBF) should be used when the reasons for locally extreme yields are in focus than in case when the yield surface of the whole area is estimated (IDW, GP). Using adequate parameters the kriging method is applicable for both functions. Similarly to the results of an ordinary Pearson correlation analysis, spatial correlation analysis was shown using soil pH and Cu concentration data. The results of cross variogram analysis (Equation 2) and the North-South direction of the variogram surface showed negative correlation (Figure 3). Based on simulation calculations, decrease of 30% in sampling points resulted in increase of 12% in error for the total sample number considering Cu concentration. The method provides a tool to decrease the cost of sampling and sample analyses of spatially correlating features, and to increase the reliability of spatial estimation using a better sampling strategy with the same sample number.

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Influence of Foliar Treatments on the yield and quality of Sugar Beet
Published May 23, 2006
119-123

The yield and quality of the sugar beet are mainly determined by the plant production system, thus we studied the effect of mineral fertilization. Our field trials were carried out in 2005 in Hajdúböszörmény, at two sites. We studied the effect of sulphur (Cosavet DF), copper (Kelcare Cu) and two foliar nutrients with high active agents. Tr...eatments were replicated four times.
We took root samples at 4 week intervals, starting in August. The quality of root (sucrose, potassium, sodium and alfa-amino N content) was determined from filtrated beet broth, by an automatic beet laboratory system, called VENEMA.
We found that the crop and the sugar yield were significantly influenced by the foliar treatments

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Foliar treatments of Sugar beet
Published November 15, 2007
55-59

The yield and quality of the sugar beet are mainly determined by the plant production system, thus we studied the effect of mineral fertilization. Our field trials were carried out in 2005 and 2006 in Hajdúböszörmény, at two sites. We studied the effect of sulphur (Cosavet DF), copper (Kelcare Cu) and two foliar nutrients with high active a...gents. Treatments were replicated four times.
We took root and leaf samples at 4 week intervals, starting in August. The quality of root (sucrose, potassium, sodium and alfaamino N content) was determined from filtrated beet broth, by an automatic beet laboratory system, called VENEMA. Leaf samples were measured with ICP-OES.
We found that the crop and the sugar yield were significantly influenced by the foliar treatments. 

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Results of foliar treatments on Sugar beet (Beta vulgaris L.)
Published July 16, 2007
303-308

The yield and quality of the sugar beet are mainly determined by the plant production system, thus we studied the effect of mineral fertilization. Our field trials were carried out in 2005 and 2006 in Hajdúböszörmény, at two sites. We studied the effect of sulphur (Cosavet DF), copper (Kelcare Cu) and two foliar nutrients with high active a...gents. Treatments were replicated four times.
We took root samples at 4 week intervals, starting in August. The quality of root (sucrose, potassium, sodium and alfa-amino N content) was determined from filtrated beet broth, by an automatic beet laboratory system, called VENEMA.
We found that the crop and the sugar yield were significantly influenced by the foliar treatments in both of the two years.

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Response of sugar beet to different foliar fertilizers
Published December 21, 2008
127-136

The yield and quality of the sugar beet are mainly determined by level crop production system; therefore the effects of foliar fertilization were studied. Our field trials were carried out in 2005  and 2006 in Hajdúböszörmény, at two experimental sites. In our trials the effects of Biomit Plussz, Fitohorm and Kelcare Cu (having high Cu... content) as foliar fertilizers, as well as a fungicide with high sulphur content, Cosavet DF, were studied and
compared. Effects of treatments were studied in four replicates. 
We took root samples at 4 week intervals, starting in August. The quality of root (sucrose, potassium, sodium and alfa-amino N content) was determined from filtrated beet broth, by an automatic beet laboratory system, called VENEMA. Leaf samples were taken three times in the growing season, element composition was measured by ICP-OES.
We found that the crop and the sugar yield were significantly influenced by the foliar treatments both of the two years.

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Influence of Foliar Treatments on the Sugar Yield Changes of Sugar Beet (Beta vulgaris L.)
Published May 4, 2004
108-111

In our small block experiment in randomised blocks, we examined the effect of 6 foliar treatments at 3 different nutrition levels in 2002 on meadow chernozem soil.
The experiment consisted of 3 blocks, which corresponded to 3 different nutrition levels. The first block was the control, the fertilization rate of the second block was 20 kg ha<...sup>-1 N, 40 kg ha-1 P2O5, 120 kg ha-1 K2O, on the third block 40 kg ha-1 N, 80 kg ha-1 P2O5, 240 kg ha-1 K2O were applied. We applied magnesium and strobilurin active ingredient (Juwel, BAS 51200), in different combination and with different application dates.
We found that the foliar treatments with bioactive fungicides significantly influenced the yield and some quality parameters in this field experiment.

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The Examination of Some Determining Elements of Efficient Practical Sweet Corn Growing
Published November 2, 2009
81-85

We did the detailed agronomy examination and assessment of sweet corn cropping technology by analysing the data of TONAVAR Ltd. The Ltd. developed a special sowing construction which is based on band application of main sowing and double growing. In main sowing they use super sweet hybrids, and in double growing they use normal sweet varieties.... In double growing sugar peas and the sweet corn can be cultivated together successfully. In every two years appearing sugar peas has a good effect on the sweet corn growing in monoculture. At the same time
the long-term successfulness of this questionable onto the illnesses of the peas because of the considerable sensitivity.
According to our examinations in main sowing the optimal period is between May 1. and 30., and in double growing the optimal period of sowing is between June 1. and 20. The optimal plant density is different too for the two sowing time. For super sweet hybrids the optimal plant number is 60-63 thousand/ha and for the normal sweet that is 65 thousand/ha.
Our examinations show that soil pest (defence with soil sterilisation in sowing time), Diabrotica virgifera, Helivoverpa armigera, Ostrinia nubialis are the greatest danger for the sweet corn quantity and quality.
The use of herbicides is the most efficient in the postemergens in main sowing and preemergens in second crop.
Our examination shows that the efficient sweet corn growing cannot be imagined without irrigation. The most efficient irrigation is in main sowing in the critical fenophase of crop time. In double growing the initial irrigation, and the crop irrigation are the most efficient. Based on the production data verifiable that beside the application of the discribed growing technology in the 2005-2007 years the average yield was 20,9t/ha of main sowing, and 17,8t/ha of second crop on chernozem soil in the Hajdúság. 

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278
The Relationship Between the Moisture Content of Sweetcorn Raw Material and the Quality of the Deep-Frozen End Product
Published May 11, 2003
135-139

One of the remarkable effects of the economical and social development is the changing of the eating habits, first of all increasing consumption of deep-frozen products. The spreading of the sweet corn under these vegetables is characteristic.
The parameters exerting influence on the quality of the deepfrozen sweetcorn is classed in 3 catego...ries:
• Physical quality: foreign matter, clumps, blemished corn, broken kernel, miscut, pulled kernel.
• Organoleptical features: taste, colour, texture, and sweetness.
• Microbiological features: TVC, mould, yeast.
The moisture content of the raw material influences the organoleptical features to the highest degree.
We take continuously samples from the raw material arriving in to the factory to determinate moisture content, and from the product to specify the organoleptical features.
Based on the data of 2002 we can make the following findings:
The colour of the deepfrozen sweetcorn is less influenced by the moisture content. The taste is between 69% and 72% the most optimal, but over 72% get worse, more „milky”, water-tasted because of the underdevelopment of sweetcorn. The texture continuously becomes better with the increasing of moisture content. Under 67% of water the class „C” is typical, which means a taste with weak charasteric, a bit scathing or bitter, and texture with rubbery inner part and hard pericarpia. The decadence of taste is caused by converting a great part of sugar into starch.
The correlation between moisture and quality is varying by varieties; different varieties have their best quality by different moisture content. By our investigations the best harvest time is at the 69-72% moisture content. At this point are the organoleptical features the most optimal, and the grower has not the loss of yield caused by early harvesting.

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