Ikram Ullah

Dr. Ikram Ullah

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2021 in Agronomy
Verified
Journal Article
Open access
PDF file
IUIkram Ullah
Ikram Ullah
HMHanping Mao
Hanping Mao
GRGHULAM RASOOL
GHULAM RASOOL
HGHongyan Gao
Hongyan Gao
QJQaiser Javed
Qaiser Javed
Muhammad Imran KhanMuhammad Imran Khan
Muhammad Imran Khan
This study was conducted to investigate the effects of various irrigation water (W) and nitrogen (N) levels on growth, root-shoot morphology, yield, and irrigation water use efficiency of greenhouse tomatoes in spring–summer and fall–winter. The experiment consisted of three irrigation water levels (W: 100% of crop evapotranspiration (ETc), 80%, and 60% of full irrigation) and three N application levels (N: 100%, 75%, and 50% of the standard nitrogen concentration in Hoagland’s solution treatments equivalent to 15, 11.25, 7.5 mM). All the growth parameters of tomato significantly decreased (p < 0.05) with the decrease in the amount of irrigation and nitrogen application. Results depicted that a slight decrease in irrigation and an increase in N supply improved average root diameter, total root length, and root surface area, while the interaction was observed non-significant at average diameter of roots. Compared to the control, W80 N100 was statistically non-significant in photosynthesis and stomatal conductance. The W80 N100 resulted in a yield decrease of 2.90% and 8.75% but increased irrigation water use efficiency (IWUE) by 21.40% and 14.06%. Among interactions, the reduction in a single factor at W80 N100 and W100 N75 compensated the growth and yield. Hence, W80 N100 was found to be optimal regarding yield and IWUE, with 80% of irrigation water and 15 mM of N fertilization for soilless tomato production in greenhouses.

16 September 2020 in Agriculture
Verified
Journal Article
Open access
PDF file
HGHongyan Gao
Hongyan Gao
HMHanping Mao
Hanping Mao
IUIkram Ullah
Ikram Ullah
Nitrogen and phosphorus limitation affect the growth, development, and productivity of lettuce, which exert a marked influence on metabolites. To compare the influence of low-nitrogen and low-phosphorus stresses on various metabolites of lettuce leaves, experiments were performed under three conditions of treatment—low-nitrogen stress, low-phosphorus stress, and normal samples. Metabolomic analyses were conducted based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Principle components analysis yielded distinctive clustering information among the holistic samples; fold change analysis, t-test and orthogonal partial least square discriminant analysis were used for the selection of metabolic biomarkers. Ten pathways were selected which were significantly enriched by metabolic biomarkers. Metabolic biomarkers were screened by fold change (FC) value, p-value and variable importance in the projection (VIP) value, low-nitrogen and low-phosphorus stresses caused an increase in 16 metabolites (FC > 2, p-value < 0.05, VIP > 1) and a decrease in 26 metabolites (FC < 0.5, p-value < 0.05, VIP > 1). Outside of these, our results showed that inositol, p-hydroxybenzoic acid, stachyose, dinoseb, and 7, 8-dihydroxycoumarin increase in low-nitrogen stress samples. Low-phosphorus stress caused accumulation of citrate, isocitrate, l-5-oxoproline, succinate, and histamine, which may be considered potential metabolic biomarkers. The metabolites could be used to monitor the nitrogen and phosphorus status of lettuce and to guide appropriate fertilization regimens.

1 January 2017 in Journal of Plant Interactions
Verified
Journal Article
Open access
QJQaiser Javed
Qaiser Javed
Yanyou WuYanyou Wu
Yanyou Wu
AAAhmad Azeem
Ahmad Azeem
IUIkram Ullah
Ikram Ullah
Effect of salt stress and subsequent re-watering on growth and electrophysiological characteristics of Orychophragmus violaceus and Brassica napus was investigated, to construct a model for prediction of an appropriate regime for dilution of saline water. Different concentrations of NaCl, Na2SO4 and blend of both salts were applied with Hoagland solution. Growth and electrophysiology traits were highly restricted at high concentration levels. According to the results, the best dilution point was 5–2.5% for NaCl and Na2SO4 alternatively, whereas it was 10–0.0% for blend of salts. After re-watering, O. violaceus restore better leaf tensity under medium levels, because the effect of NaCl concentration on leaf tensity (XNC–LT) was 1.66%, which was lower in O. violaceus than the effect of XNC–LT (2.88%) in B. napus, followed by the same trend for all treatments. Therefore, the effect of salinity in O. violaceus and B. napus may also be reduced effectively by dilution of saline irrigation.

26 April 2024
Verified
Book Chapter
Closed access
ARAamir Raza
Aamir Raza
SMSheraz Maqbool
Sheraz Maqbool
MSMuhammad Safdar
Muhammad Safdar
HAHasnain Ali
Hasnain Ali
IUIkram Ullah
Ikram Ullah
AMAbdul Malik
Abdul Malik
Remote sensing is a crucial technique in environmental and spatial investigations, and Python is a popular programming language for analyzing this data. This chapter provides a comprehensive guide to using Python for remote sensing data analysis, covering various data types, attributes, and practical implementations. It introduces Python and its data processing libraries, discusses preprocessing operations like data conversion and import, geometric rectification, and radiometric correction, and covers image enhancement techniques like edge detection, contrast enhancement, and filtering. It also covers image analysis techniques like band mathematics, indices, classification, and segmentation. The chapter also covers exporting data and generating visualization maps and charts. Python's application in remote sensing data analysis is illustrated through case studies. Request access from your librarian to read this chapter's full text.

20 July 2022 in Journal of Advances in Food Science & Technology
Verified
Journal Article
Closed access
PDF file
SKSisay Ketema
Sisay Ketema
MAMansoor Ali
Mansoor Ali
AKAkhtiar Ahmed Kalhoro
Akhtiar Ahmed Kalhoro
SMShahzad Munir
Shahzad Munir
MAMuhammad Zahid Aslam
Muhammad Zahid Aslam
IUIkram Ullah
Ikram Ullah
Background: Foodborne disease is one of the most frequent and life-threatening diseases on the planet. The aim of this study is to determine food handling practice and factors associated with good food handling status among food handlers in public food catering establishments, in Ethiopia. Methods: One hundred and fifty studies were gathered using key terms in a search web page, and finally, twelve studies were included with considering a pre-structured inquiry that addressed the desired outcome and then grouped in a table and figure. Results: This systematic review finding revealed that the mean good food handling practice in public food catering establishments in Ethiopia is low. The predicted factors for good food handling practices were included as educational status, experience, training, regular medical checkups, knowledge of the foodborne disease, absence of adequate supervision, lack of clean water, and maintain good hygiene in the workplace played a significant role to keep good food handling practice in Ethiopia. Conclusion: It is suggested that food catering establishments are the main source of food-borne disease. Therefore, massive food catering establishment owners and food inspection authority should give better emphasis with designing necessary strategies to improve food hygiene and safety concerns in the countries.