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Response of Soft Wheat (Triticum aestivum L.) to Slow-Release Nitrogen Fertilizers in a Semi-Arid Rainfed Mediterranean Climate Area of Morocco

Amine El Mzouri Mohamed, Karima Samir, El Houssine El Mzouri

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 7

229--236

Reasoned fertilization is an essential element of the agroecological approach, which aims first and foremost to improve soil and plant growth. The objective was to examine how slow-release nitrogen fertilizer will perform on the wheat productivity compared to conventional quick-release nitrogen fertilizers. A slow-release nitrogen cover fertilizer Duramon (24% N) was applied to soft wheat and compared to conventional nitrogen fertilizers as well as the local farmer practices. A randomized complete blocks design was adopted with four replications and four sites and repeated during three cropping seasons. Stand density, plant canopy height, tillers/plant, spikes/plant, biological yield, grain yield and harvest index were evaluated. Compared with conventional quick-release nitrogen fertilizers, the slow-release nitrogen significantly (P≤0.05) improved tillering, spikes/plant, canopy height, biological yield, grain yield and harvest index. It achieved an average total biomass and grain yields of 3220 kg DM/ha and 978 kg/ha, respectively. The average gains for total biomass and grain yields were 14% and 21%, respectively. However, when compared with the local farmers’ practices, the gains obtained were significantly higher, with 123% and 175% for the slow-release N fertilizer and 95% and 128% for the conventional quick-release N fertilizer, respectively. The harvest index was improved by N application, rising from 25% in local controls up to 30% for slow-release N fertilizers. In conclusion, compared with conventional quick-release nitrogen fertilizers and local practices, the use of slow-release fertilizers with less units of nitrogen applied significantly improved spikes number, biological and grain yields and harvest index, even in dry years.

Assessing domestic factors determining water consumption in a semi-arid area (Sedrata City) using artificial neural networks and principal component analysis

Zeroual Menal, Hani Azzedine, Boustila Amir

Journal of Water and Land Development

2021

no. 49

219--228

The growing demand for fresh water and its scarcity are the major problems encountered in semi-arid cities. Two different techniques have been used to assess the main determinants of domestic water in the Sedrata City, North-East Algeria: principal component analysis (PCA) and artificial neural networks (ANNs). To create the ANNs models based on the PCA, twelve explanatory variables are initially investigated, of which nine are socio-economic parameters and three physical characteristics of building units. Two optimum ANNs models have been selected where correlation coefficients equal to 0.99 in training, testing and validation phases. In addition, results demonstrate that the combination of socio-economic parameters with physical characteristics of building units enhances the assessment of household water consumption.