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Fathy S. El-Nakhlawy

Researcher at King Abdulaziz University

Publications -  41
Citations -  386

Fathy S. El-Nakhlawy is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Irrigation & Canola. The author has an hindex of 8, co-authored 41 publications receiving 314 citations.

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Wheat Phenological Development and Growth Studies As Affected by Drought and Late Season High Temperature Stress under Arid Environment.

TL;DR: It's clear that booting and grain filling are the most sensitive GS that are severely affected by both drought and delay in planting and the correlation between crop growth indices and grain yield depicted the highest value.
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Performance of Canola (Brassica napas L.) Seed Yield, Yield Components and Seed Quality under the Effects of Four Genotypes and Nitrogen Fertilizer Rates

TL;DR: The results showed that as nitrogen fertilizer rate increased, plant height, number of fruit / plant, 1000-seed weights, seed weight / plant and protein content increased, however oil content, was the highest under 92 kg nitrogen rate, then significantly decreased under the higher nitrogen rates.
Journal Article

Response of Seed Yield, Yield Components and Oil Content to the Sesame Cultivar and Nitrogen Fertilizer Rate Diversity

TL;DR: This document summarizes current capabilities, research and operational priorities, and plans for further studies that were established at the 2015 USGS workshop on quantitative hazard assessments of earthquake-triggered landsliding and liquefaction in the Czech Republic.
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Field evaluation of allelopathic plant extracts alongside herbicides on weed management indices and weed–crop regression analysis in maize

TL;DR: Allelopathic manipulations are evolving as applicable substitutes for weed management in agroecosystems and a strong negative correlation was recorded with the weed density and dry biomass that were recorded at 60 days after sowing, while the leaf area index, crop growth rate, dry matter accumulation and net assimilation rate predicted a strong positive correlation.