JOURNAL OF ADVANCES IN AGRICULTURE

THE EFFECT OF BORON AND IAA APPLIED TO SUNFLOWER GROWED AS A SECOND PRODUCT ON SEED SETTING

2023-08-12T12:06:42+00:00

This research was carried out on the second crop oil sunflower, which was planted directly on the stubble in the Central Anatolia region. Increasing doses of boron (4.2 gr, 8.5 gr, and 16.8 gr) and increasing doses of IAA (12 ppm, 16 ppm, and 20 ppm) were applied to leaves of sunflower at R2 and R3 development stages of sunflower in order to increase the number of full seeds (Pieces/Capitulum) of the second crop oil sunflower. The data obtained from the experiment with 4 replications were evaluated statistically, and the difference between them was significant at the p<0.05 probability level. However, the difference between the potential seed number (Pieces/Capitulum) was insignificant. While 4.2 gr and 8.5 gr boron doses from the boron doses applied plots and 20 ppm IAA dose from the IAA applied plots had the highest grain yields, the lowest seed setting was observed in the 16.8 gr boron applied plots and the 12 ppm and 16 ppm IAA applied plots. It has been concluded that the IAA used in the research has both positive and negative effects on productivity against stress conditions created by environmental factors.

Studying the Effect of Plant Growth Regulators Ivin, Methyur and Kamethur on Growth and Productivity of Sunflower

2023-05-23T04:22:14+00:00

In field conditions, the effect of plant growth regulators Ivin (N-oxide-2,6-dimethylpyridine), Methyur (sodium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine), Kamethur (potassium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine) on growth and productivity of sunflower (Helianthus annuus L.) variety Bastion was studied. The growth-regulating activity of plant growth regulators Ivin, Methyur and Kamethur was compared with the growth-regulating activity of the auxin IAA (1H-Indol-3-yl)acetic acid). It was found that the treatment of seeds before planting in the soil with water solutions of Ivin, Methyur and Kamethur, used at a concentration of 10-7M, contributes to an increase in morphological parameters (length of shoot and root, fresh weight of plant and basket) and biochemical parameters (content of chlorophylls a and b, and carotenoids) of sunflower (Helianthus annuus L.) variety Bastion grown in field conditions for 3 months. The growth-regulating activity of plant growth regulators Ivin, Methyur and Kamethur was higher than the growth-regulating activity of the auxin IAA used at the same concentration of 10-7M. The obtained results confirmed the possibility of using plant growth regulators Ivin, Methyur and Kamethur to increase the length of shoot and root, fresh weight of the plant and basket, and the content of chlorophylls in sunflower (Helianthus annuus L.) variety Bastion.

Simulation of cucumber downy mildew Spread and sedimentation based on HYSPLIT

2023-05-28T05:22:54+00:00

Cucumber downy mildew is a typical fungal airborne disease in which pathogenic spores are transmitted remotely by air currents, resulting in regional endemics. It is of great significance to study and analyze the temporal and spatial changes of downy mildew spores, especially the trajectory and sedimentation concentration of spores propagating with airflow in the air, for the prediction of downy mildew in cucumbers. Therefore, based on GDAS meteorological data from October to November 2017, this study uses the HYSPLIT-5 model to simulate the airflow propagation trajectory and sedimentation of downy mildew pathogen spores in the main cucumber planting areas in China, analyzes the trajectory frequency and sedimentation concentration in the long-distance and long-term series propagation process, and explores the transmission law of airborne disease spores, which provides a theoretical basis for predicting downy mildew in cucumbers.

Tilapia feeding decision system based on adaptive neuro-fuzzy inference

2023-05-21T10:16:25+00:00

In industrial recirculating aquaculture, the feed required by fish accounts for a major part of the total expenditure. In this paper, a multi-factor decision making system based on aggregation FIFFB of fish feeding behavior, water temperature T of environmental factors and biomass weight W was proposed to solve the problem of feed waste under the traditional mode. To verify the performance of this model, a fuzzy inference FIS model is constructed for comparison. The experimental results show that the root mean square error (RMSE) and mean absolute error (MAE) between the predicted and actual feeding amount of ANFIS triplet are 0.78 and 0.19, respectively, which are much lower than the FIS model, and this model is more suitable for predicting the feeding amount decision. At the same time, growth parameters such as WGR, FMAE, K and FCR were compared. The fish growth specifications were fatter and the economic benefits were higher, and the feed conversion rate was increased by 12.35%. Therefore, the triplet ANFIS feeding prediction and decision-making system based on fish aggregation degree, water temperature and body weight is effective and has guiding significance for the precise feeding design of unmanned aquaculture.