- Black Sea Journal of Agriculture
- Vol: 5 Issue: 3
- Determination of the Effect of Different Nitrogen Doses on the Yield, Yield Components and Chlorophy...
Determination of the Effect of Different Nitrogen Doses on the Yield, Yield Components and Chlorophyll Contents of Bread Wheat (Triticum aestivum L.) Cultivars using Artificial Neural Network
Authors : Fatih Öner, Gökhan Kayhan, Erhan Ergün, Ferda Özkorkmaz, Recai Oktaş, Mehmet Serhat Odabaş
Pages : 288-299
Doi:10.47115/bsagriculture.1110022
View : 23 | Download : 9
Publication Date : 2022-07-01
Article Type : Research
Abstract :This research investigates an artificial neural network for predicting the chlorophyll concentration index and the effect of different nitrogen doses on the yield, yield components of Bread Wheat (Triticum aestivum L.). Plants were fertilized with 5, 10, 15, 20, and 25 kg da-1 nitrogen doses. The chlorophyll concentration index of each leaf was measured using a SPAD meter. The coefficient of determination values was found to be 0.99. In artificial neural network modeling, chlorophyll concentration values were estimated with SPAD readings. Artificial neural network modeling successfully described the relationship between actual chlorophyll concentration index values and predicted chlorophyll concentration index values. Agronomic parameters plant height (110.66-92.73 cm), the number of spikes per square meter (461.01-355.50), the number of seeds per spike (43.88-23.83), the weight of seed per spike (2.07-0.91 g), hectoliter weight, thousand-grain weight (43.10-35.89 g), grain yield (638.76-343.06 kg.da-1), protein contents (11.16-8.34 %), the value of sedimentation (19.40-11.94) were found statistically important.Keywords : Artificial neural network, Chlorophyll, Breat wheat, Yield