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Utilization of Okra (Abelmoschus esculentus L. Moench.)
122-125Views:213Okra is warm season crop native to Africa. Presently it is widely grown in the northeastern parts of Brazilia, both northen, and western parts of Africa, southeast Asia, and in the eastern parts of the Mediterraneum. In Hungary it is a rarity. It’s adaptation to Hungary began about 40 years ago.The optimal sowing time under Hungarian climatic conditions is middle of May. The harvests is started – depending on the weather – first, by the middle of July, and picking continues until the first of September.
According to our results, seed soaking, sowing under a perforated foil sheet-covered trench (2 weeks earlier the normal sowing time), and 55-65 g thousand weight seeds are favourable.
The harvest period under Hungarian circumstances is appr. one and half months. -
Agronomic research in Martonvásár, aimed at promoting the efficiency of field crop production
89-93Views:287The effect of crop production factors on the grain yield was analysed on the basis of three-factorial experiments laid out in a split-split-plot design. In the case of maize the studies were made as part of a long-term experiment set up in 1980 on chernozem soil with forest residues, well supplied with N and very well with PK. The effects of five N levels in the main plots and four sowing dates in the subplots were compared in terms of the performance of four medium early hybrids (FAO 200). In the technological adaptation experiments carried out with durum wheat, the N supplies were moderate (2010) or good (2011), while the P and K supplies were good or very good in both years. Six N top-dressing treatments were applied in the main plots and five plant protection treatments in the subplots to test the responses of three varieties.
The results were evaluated using analysis of variance, while correlations between the variables were detected using regression analysis.
The effect of the tested factors on the grain yield was significant in the three-factorial maize experiment despite the annual fluctuations, reflected in extremely variable environmental means. During the given period the effect of N fertilisation surpassed that of the sowing date and the genotype. Regression analysis on the N responses for various sowing dates showed that maize sown in the middle 10 days of April gave the highest yield, but the N rates required to achieve maximum values declined as sowing was delayed.
In the very wet year, the yield of durum wheat was influenced to the greatest extent by the plant protection treatments, while N supplies and the choice of variety were of approximately the same importance. In the favourable year the yielding ability was determined by topdressing and the importance of plant protection dropped to half, while no significant difference could be detected between the tested varieties. According to the results of regression analysis, the positive effect of plant protection could not be substituted by an increase in the N rate in either year. The achievement of higher yields was only possible by a joint intensification of plant protection and N fertilisation. Nevertheless, the use of more efficient chemicals led to a slightly, though not significantly, higher yield, with a lower N requirement. -
The effects of the climate change and the drought stress on potato production – A review
61-67Views:479Potato (Solanum tuberosum) is the fifth most important cultivated crop according to its growing area and fourth by its production volume. Originated from the Andes of South America throughout the last five centuries spread over the world and became a global staple food. Over the years potato production has greatly evolved due to advancement in agrotechnology reflecting in higher yields contrary to the worldwide decreasing production area. The wide range of potato’s ability for adaptation allows it to thrive in many different soil types and climates making it a main contributor in food security. Nonetheless rising temperatures, extreme weather events, water scarcity driven by climate change imposes serious challenges and threats for global potato production.
This review presents the short history of potato cultivation, statistics of present and past production and agroecological needs for ideal farming. The review also attempts to explore the impact of climate change on potato growing spotlighting on drought and heat sensitivity.
To deal with these climate change induced challenges several mitigation options are proposed just as foliar applications of salicylic acid, hydrogen peroxide, silicon and micronutrients to elevate perseverance against abiotic stresses. -
How can we determine the expected prices for lambs? – Analysis of the Hungarian and Italian lamb prices
59-67Views:138The Hungarian sheep sector has become a one-market sector, almost the whole amount of slaughter lamb went to Italy, which increased its defenselessness. In addition to the sole Italian market showing a permanent demand for Hungarian lambs, it would worth to exploit possibilities in other European markets considering the seasonal differences in Italian prices. Such markets can be the Spanish and Greek for ”light” and the French, German and English markets for ”heavy” lambs. Both the Italian and Hungarian prices have three major periods: Easter, Ferragusto and Christmas. Due to the changes in the prices, the producers often suffer great losses, therefore, the temporal adaptation of production, market research, technological and development activities need to be improved. It is important that the living of Hungarian sheep breeders should not be dependent solely upon the Italian market, distribution of products should be ensured in other markets too, so that the safety of sales be increased and higher prices and higher income could be achieved. The European lamb prices are characterized by large seasonal fluctuation and the degree and timing of changes are different in the different countries. Study of the literature and the results obtained in my study on lamb sales called for an analysis and study of the possibilities of price forecasting. In my study, I performed a forecasting of lamb prices in Hungary and Italy for the period between 1996 and 2006 based on the data of the European Committee. Among the forecasting methods, seasonal decomposition and SARIMA models are the most precise, producers can achieve a better market position by using these in the practice.