Yazar "Nazire Mikail" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    Effect of PGPB on Germination and Early Development Parameters of Acacia cyanophylla (Lindley) Seeds in Lead Contaminated Media
    (Springer Nature Switzerland, 2024) Arzu Çığ; Nazire Mikail; İmran Aundov
    Acacia cyanopylla (Lindley) is a member of the Fabaceae family and is a decorative plant species with its yellow flowers and adds value to the place where it is used with its aesthetic beauty. In addition to its aesthetic value, it is used in sand dune prevention and afforestation works on highways. In addition to using various methods for germinating seeds, different processes are being developed using the priming technique. In this study, where the germination ability of this plant species, especially used in landscape areas, against lead pollution and the growth parameters in the early stages of plantlet formation were examined, a different approach was taken with the use of Plant Growth Promoting Bacteria (PGPB). This study was carried out in the laboratory under aseptic conditions. Brevibacterium frigoritolerans (KF58B) and Bacillus zhangzhouensis (KF3A) PGPBs were inoculated into A. cyanopylla (Lindley) seeds. Some parameters were examined by applying 100 ppm lead (Pb) to the petri dishes in which the seeds were sown. The highest germination rate and speed and shoot length were obtained as 73.3%, 33.3 and 2.57 cm, respectively, in seeds under lead stress. While root length and root thickness were obtained from the control group seeds as 3.25 cm and 0. 34 cm, respectively, the highest lateral root number, 1.07, was determined in the seeds inoculated with Brevibacterium frigoritolerans bacteria. Although the results obtained in the examined parameters differed in numerical values between applications, only the differences between the average values of shoot length, root length and root thickness were statistically.
  • [ X ]
    Öğe
    Fuzzy Expert System Applications in Plant Cultivation
    (Springer Nature Switzerland, 2024) Nazire Mikail; Arzu Çığ; Tarana Gılıcova; Yasaman Yagubova
    In expert systems widely used in today’s technology, making the best decision in case of uncertainty and modeling applications are based on fuzzy logic inference. Fuzzy expert systems seek solutions relied on the practice, knowledge and skills of professional in a particular field. This can be explained as a type of computerized consultation system. The use of natural language based on fuzzy logic enable this method to solve many experimental problems. Fuzzy logic is widely used in different applications in plant cultivation, such as disease and pest detection, yield estimation, irrigation control, fertilizer and drug dosage determination. Fuzzy logic considers to be one of the effective tools for prognosis aims in plant cultivation. Fuzzy expert system applications in plant growing can be used in early diagnosis of some diseases, pest management, diagnosis of nutrient deficiency, as well as determination of optimum yield patterns and preparation at minimum cost.