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Development of seed analyses by means of various matrix solutions and the MALDI-TOF MS technique
53-57Views:322The earth's population is growing steadily, currently accounting for about 7.3 billion people. Population growth causes food demand to rise, approximately 36 million people die each year due to starvation or related diseases. One solution to this problem is the continuous examination and development of the agricultural economy. In this study, matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (MALDI -TOF MS) were used to analyse of sunflower, soybean and hemp. In order to analyse the protein of maize, this method has already been applied. However, for sunflower, soy and hemp, it is necessary to develop a sample preparation method. Choosing the optimal matrix solution for ionization the traget molecule is an essential part of developing the method. Our aim is to compare two different matrix solutions (α-HCCA, SA matrix), based on the properties (intensity, noise ratio, value of spectra) of the spectra.
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Comparative study of different soybean genotypes in irrigation technology
91-95Views:298In many places in Hungary, early maturity soybean can be successfully grown. The earlier maturity group of soy which ripened in 110–125 days in most crop areas in Hungary. However, to achieve excellent results, the selection of proper varieties is important too. Successful cultivation is largely dependent on the macro and microclimate of the production area, the nutrient supply of the soil and the cultivation technology. Soybean can be produced in places where the amount of precipitation is right, as the lack of water results in lower yields and deteriorated oil and protein concentrations. In the following study, 2 years (2016 and 2017) are compared to the yield, protein and oil content of the soybeans of the early maturation group in irrigated and non-irrigated treatments. Based on our experiment, it can be stated that, during the irrigation of soybean, oil and protein content and yields did not always change.