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Testing of paraffin oil efficiency against grape powdery mildew in Eger wine region
Published February 18, 2016
73-80

The aim of the present study was to examine the efficiency of paraffin oil against powdery mildew in Eger wine region. The experiment has been carried out in 2013 and 2014 with Chardonnay and Kékfrankos grape varieties, which have different resistance against powdery mildew. The effectiveness of the oil was examined on leaves and clusters (fre...quency and intensity). This oil was effective against Erysiphe necator infection on field trials in Chile and Brazil. The spread of downy mildew (Plasmopara viticola) was also inhibited by this material in some experiments conducted in Spain and France.

The differences between oil treatments represented the sensitivity of the grape varieties in accordance with the applied dosages. The oil was effective against powdery mildew with different extent as a result of the so called ”vintage effect”. In 2013, the treatment of the highest dosage (D3) didn’t differed significantly in frequency and intensity of infection from the regular treatment (clusters of Kékfrankos, leaves of Chardonnay). In 2014, the oil was not so effective against powdery mildew compared to 2013. No remarkable differences were detected between the treatments due to the strong pressure of powdery mildew. Furthermore, no any effect of the lowest dosage (D1) was detected in the case of the sensitive clusters of Chardonnay and leaves of Kékfrankos in both experimental years.

In summary, the oil treatment has an effect against powdery mildew, however this efficiency largely depends on the vintage characteristics and the pressure of powdery mildew. Further investigations are neccessary, for example field trials with combinations of other sprays. The oil can be useable as fungicide with proper care in eco-friendly integrated and bio (ecological) viticulture.

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Evaluation of the correlations between the normalized difference vegetation index (NDVI) and yield in a seasoning paprika (Capsicum annuum L. var. longum) stand
Published September 18, 2014
45-49

...5); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">The aim of our examination was to evaluate the correlations between the normalized difference vegetation index (NDVI) and yield, as well as to examine the possibility of yield estimation basedon NDVI in a seasoning paprika population.

Significant correlations were observed during the examination of the correlation between NDVI and yield. Furthermore, it was concluded that yield can be estimated with a 6.6–8.3% mean error based on the regression equations. No significant difference was shown between the error of estimations performed with various regression types and that of the estimations performed at various dates. For this reason, the identification of the optimum estimation method and the determination of the optimum date for estimation call for further examinations.

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Condensed tannin content and antioxidant activity of Hungarian sorghum varieties grown at Research Institute in Karcag
Published June 1, 2021
155-160

Cereal-based products are one of our main energy sources, and are consumed on a daily basis. One of the weaknesses of wheat based products is their low antioxidant content. Sorghum is a minor cereal, mostly consumed in Africa and Asia. Amongst other phenolic components it contains tannins, which are potent antioxidants and have other positi...ve effect on human health, for example anti-tumor, anti-inflammatory and anti-viral/bacterial effect. We evaluated the tannin content (vanillin-HCL) and antioxidant capacity (DPPH) of sorghum varieties (Alföldi1, Zádor, Foehn, Albita, Albanus) grown in Hungary, with two type of agronomy technology.. Red varieties especially Alföldi1 and Zádor had higher tannin contents than white varieties. The highest condensed tannin content was 1470±73 mg 100g-1 (Control, Alföldi1), 1810±154 mg 100g-1 (Fertilized, Alföldi1), and the highest total antioxidant capacity was 2099±19 mg 100g-1 (Control, Alföldi1) and 2117±26 mg 100g-1 (Fertilized, Alföldi) We found that sorghum type, variety and color influence their tannin and antioxidant contents in general.

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Effect of the Grazing on the Sows’ Performance
Published May 11, 2003
39-41

Intensive indoor pig ptductiv technologies have entirely prevailed over the outdoor keeping of pigs. In Western Europe, sowgreasing is managed on a farm-size scale.
In our experiment sows were grased during two grazing seasons, from April 28 to July 07, 2000, and from 14 September to December 10, 2000. The same number of indoor sows served a...s control animals.
The results of the blood test show that, as a result of grazing, the beta carotene level of the blood serum has increased threefold.
On spring pasture, the grasingsows gained 50 kg in weight as opposed to 30 kg in control animals. On the poor autumn pasture, the weight gained was only 30 kg, which was only 2 kg more in comparison with the performance of the control group.
In both groups, loss in weight following the farrowing interval between the two grazing cycles was almost the same, that is, 47 kg. Thus, sows in the grased group were not worn at the end of the suckling period.
The number of stillborn piglets in the grased groups of sows was three times smaller, and the piglets were 100 g heavier. Following the second grazing cycle, the litter of the experimental sows grew by 10%, there were fewer stillborn pigs, however, the average weight of the farrow was 140 g less.

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The Effect of Grazing on the Production of Sows and Pasture Vegetation
Published May 4, 2004
43-47

In our experiment sows were grased during four grazing seasons, from April 28, 2000 to 23, August, 2001. The same number of indoor sows served as control animals.
The results of the blood test show that, as a result of grazing, the beta carotene level of the blood serum has increased threefold. This difference disappeard after the farrow 30 ...days.
On spring pasture, the grasingsows gained 50 kg in weight as opposed to 30 kg in the control animals. On the poor autumn pasture, the weight gained was only 30 kg, which was only 2 kg more in comparison with the performance of the control group. In the third grasing season the experiment sows weight gained was 13.7 kg and control group 37 kg. In the fourth season the control group weight gained was 4.4 kg more in comparison with the performance of the experiment sows.
Grazing not very influence weight of gthe sows during the preast – feeding.

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The impact of environmental factors on the measurement of the normalized difference vegetation index
Published November 13, 2012
141-147

The level of nitrogen supply of a plant population can be quickly measured with non-destructive optical measurement devices and the differentiated determination of nitrogen shortage and the replenishment of nitrogen can also be carried out. The level of nitrogen supply is based on the fact that the chlorophyll content of crops is in close corre...lation with nitrogen content and that the amount of chlorophyll can be easily measured on the basis of the light absorption of chlorophyll molecules. The successfulness of optical measurements can be influenced by the change of weather  parameters; therefore, it is important to know the correlations between measurement results and weather parameters when it comes to practical use.
The GreenSeeker Model 505 measurement device determines the relative chlorophyll content in the form of the Normalized Difference
Vegetation Index (NDVI) calculated on the basis of the intensity of the reflected red and infrared rays of light from the crop population. The measurements were performed in alfalfa population with 10 replications at five measurement heights and four measurement times. The weather parameters were measured by a weather station located in the middle of the alfalfa population and the correlations between the meteorological data and the NDVI values were examined. During the statistical evaluation of the results, it was established that the NDVI measurement is primarily influenced by the relative humidity of the air, secondly by air temperature and thirdly by wind speed. Relative humidity was in strong correlation with the NDVI values which were also influenced by the measurement height and time. Regression was not significant in the case of 20 cm  measurement height, but the measurements above 40 cm height showed significant correlations. The correlation was shown to be strong at each measurement time, but the influence of humidity was the lowest at 11:00 and 14:00. 

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