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  • Effect of different production types on the yield and ß-carotene content of sweet potato /cultivar Ásotthalmi- 12/
    45-49
    Views:
    488

    Production of sweet potato is extending in Hungary, despite the fact that there is no field-specific production technology. Therefore, many growers cannot utilize potential yields and quality. The goal of this study was to determine the optimal production method of the Ásotthalmi 12, a Hungarian sweet potato cultivar which can adapt to the Hungarian climate. The effect of single and twin rows production on the yield of this cultivar was examined. The planting was carried out on June 24th, the harvesting on October 20th and the growing-season was 120 days long. Uniform nutrient supply was applied to the whole field experiment. During basic fertilization, 206 kg Knd 20 kg N, 36 kg P ha-1 were used on the soil. While forming the ridges, we used an additional 25 kg N, 45 kg P and 62.5 kg K ha-1. We adopted drip tape irrigation on the experimental field. After the planting, from the 8th week of the vegetation, another 21 kg ha-1 K, 10 kg ha-1 MgSO4, and 2 kg ha-1 Ca(NO3)2 was added in one dosage weekly, until the 13th week of vegetation. At the evaluation of the experiment, we examined the yield regarding the whole experimental plot. SPAD and fluorescence measurements were carried out on 08.16. 2019, 08.28.2019, and on 09.13.2019, during the watering break. To demonstrate the difference between the dates, we applied ANOVA and Tukey post-hoc tests. For the measurement of phytonutrients HPLC, a liquid chromatograph was used, where the carotenoid content of the Ásotthalmi 12 cultivar was determined in connection with the different production methods. Test results showed that twin rows production leads to a nearly 30% greater yield, than single row production. We determined, that the growth of yield correlates negatively to the ß-carotene content of the Ásotthalmi 12 cultivar sweet potato.

  • The importance of predator species in the population dynamics of the Brown hares (Lepus europaeus, Pallas 1778) – Literature review
    43-49
    Views:
    618

    One of the conditions for successful small game management is the good management of predator species. The predator species play an important role in the sustainable utilization of the domestic brown hare populations. A portion of these species are under nature protection and with the rest of the species can be utilizing by the wildlife management professionals. Important prey species of brown hares: perspective are red fox, domestic dog and domestic cat. Based on latest date of the National Game Management Database in hunting bags increasing every year the number of the European badger, the stone marten and the golden jackal. In Hungary the brown hare’s most important predator bird species are common buzzard, marsh-harries and goshawk. The human race is not only as a top predator affects the number of the population of brown hares with the wildlife management but indirectly with traffic, (soil cultivation, mowing, and pest control) as well. The control of predators is absolutely necessary for successful small game management, but without sufficient habitat size and habitat development it is hardly sufficient.

  • Examination of the population density and sowing date of different maize genotypes in the Hajdúság region
    111-115
    Views:
    564

    The experiment was carried out 6 km from Debrecen, next to the main road 47 on a homogeneous field on brown forest soil. Five corn hybrids were tested in the trial (DKC 4795, DKC 4995, KWS Kornelius, NK Cobalt, PR37 N01) at three different sowing times (early – 5th April, average – 21st April, late – 10th May). At each sowing time, three different plant densities were applied (modest – 58 500 plants ha-1, average –70 200 plants ha-1, high – 82 300 plants ha-1). The agrotechnics applied
    in the experiment satisfied the requirements of modern corn cultivation.

    In the study, the best yield result was achieved with the early sowing time out of the three examined sowing times (11 315 kg ha-1), which was significantly different (LSD5%=495 kg) from that of the average sowing time (10 690 kg ha-1), however, there was no statistically justifiable difference between the yield results of the early and the late sowing times. There was a significant difference also between the average and late sowing time. Our results indicate that the different sowing times resulted in a different flowering times. Consequently, the stands of early and late sowing time reached this critical stadium of growth under proper climatic circumstances (precipitation: 39 mm and 136 mm, average temperature at flowering: 18.1 oC and 20.3 oC), while flowering in the case of the average sowing time of 21st April was in the first half of July and the average temperature at flowering was warmer (23.2 oC) with only 10 mm precipitation.
    In the experiment, the plant density response was also examined. According to the measured data, four of the five hybrids responded badly to the increasing plant density. We found that the plant density of 58 500 plant ha-1 gave the largest yield results (DKC 4995 11 794 kg ha-1 – NK Cobalt 10 998 kg ha-1, average of five hybrids: 11 430 kg ha-1), while the lowest yields were obtained at the plant density of 82 300 plant ha-1 (KWS Kornelius 11 037 kg ha-1 – NK Cobalt 10 019 kg ha-1, average of five hybrids 10 720 kg ha-1). The difference between the two plant densities was significant (LSD5%=494 kg), however, the 70 200 plant ha-1 plant density did not show any statistical difference from neither the 58 500 ha-1 nor from the 82 300 plant ha-1 stands. When examining the data of the hybrids separately, we found that there was a significant difference between the average yield of the lowest and highest plant densities only in the case of three (DKC 4795, DKC 4995, NK
    Cobalt) out of the five hybrids (DKC 4795: 11 757 kg ha-1 – 10 857 ha-1 where LSD5% =816 kg; DKC 4995: 11 794 kg ha-1 – 10 738 kg ha-1 where LSD5%=853kg; NK Cobalt: 10 998 kg ha-1 – 10 019 kg ha-1 where LSD5%=630 kg ha-1), while a  significant difference between the second and third plant densities was observed only in one case (DKC 4995: 11 726 kg ha-1 – 10 738 ha-1 where LSD5%=853 kg). In all other cases, there was no statistical difference between the different
    plant densities.