Muhammad Imran Shahzad

Determination of lytic enzyme activities of indigenous Trichoderma isolates from Pakistan.

Abstract This study investigated lytic enzyme activities in three indigenous Trichoderma strains namely, Trichoderma asperellum, Trichoderma harzianum and Trichoderma sp. Native Trichoderma strains and a virulent strain of Rhizoctonia solani isolated from infected bean plants were also included in the study. Enzyme activities were determined by measuring sugar reduction by dinitrosalicylic acid (DNS) method using suitable substrates. The antagonists were cultured in minimal salt medium with the following modifications: medium A (1 g of glucose), medium B (0.5 g of glucose + 0.5 g of deactivated R. solani mycelia), medium C (1.0 g of deactivated respective antagonist mycelium) and medium D (1 g of deactivated R. solani mycelia). T asperellum showed presence of higher amounts of chitinases, β-1, 3-glucanases and xylanases in extracellular protein extracts from medium D as compared to medium A. While, the higher activities of glucosidases and endoglucanses were shown in medium D extracts by T. harzianum. β-glucosidase activities were lower compared with other enzymes; however, activities of the extracts of medium D were significantly different. T. asperellum exhibited maximum inhibition (97.7%). On the other hand, Trichoderma sp. did not show any effect on mycelia growth of R. solani on crude extract.

Face and Fingerprint biometrics Integration Model for Person Identification Using Gabor Filter

In this paper we propose a model that integrate the output of face and fingerprint recognition by using Gabor filter for person identification. Our proposed method gives comparatively better and accurate results then applying each recognition technique separately. We have tested the accuracy of our proposed model on database of face and fingerprint images.

Assessment of sea water inundation along Daboo creek area in Indus Delta Region, Pakistan

Indus Deltaic Region (IDR) in Pakistan is an erosion vulnerable coast due to the high deep water wave energy. Livelihood of millions of people depends on the fisheries and mangrove forests in IDR. IDR consists of many creeks where Daboo is a major creek located at southeast of the largest city of Pakistan, Karachi. Unfortunately, there has been no detailed study to analyze the damages of sea water intrusion at a large temporal and spatial scale. Therefore, this study is designed to estimate the effects of sea water inundation based on changing sea water surface salinity and sea surface temperature (SST). Sea surface salinity and SST data from two different surveys in Daboo creek during 1986 and 2010 are analyzed to estimate the damages and extent of sea water intrusion. Mean salinity has increased 33.33% whereas mean SST decreased 13.79% from 1987 to 2010. Spatio-temporal analysis of creek area using LANDSAT 5 Thematic mapper (TM) data for the years 1987 and 2010 shows significant amount of erosion at macro scale. Creek area has increased approximately 9.93% (260.86 m2 per year) which is roughly equal to 60 extensive sized shrimp farms. Further Land Use Land Cover (LULC) analyses for years 2001 and 2014 using LANDSAT 7 Enhanced Thematic Mapper Plus (ETM+) has indicated 42.3% decrease in cultivated land. Wet mud flats have spread out at the inner mouth of creek with enormous increase of 123.3%. Significant sea water intrusion has increased the area of barren land by 37.9%. This also resulted in overall decrease of 6.7% in area covered by mangroves. Therefore, this study recorded a significant evidence of sea water intrusion in IDR that has caused serious damages to community living in the area, economical losses. Additionally, it has also changed the environment by reducing creek biological productivity as reported by earlier studies over other regions of the world.

Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters

Coastal waters are one of the most vulnerable resources that require effective monitoring programs. One of the key factors for effective coastal monitoring is the use of remote sensing technologies that significantly capture the spatiotemporal variability of coastal waters. Optical properties of coastal waters are strongly linked to components, such as colored dissolved organic matter (CDOM), chlorophyll-a (Chl-a), and suspended solids (SS) concentrations, which are essential for the survival of a coastal ecosystem and usually independent of each other. Thus, developing effective remote sensing models to estimate these important water components based on optical properties of coastal waters is mandatory for a successful coastal monitoring program. This study attempted to evaluate the performance of empirical predictive models (EPM) and neural networks (NN)-based algorithms to estimate Chl-a and SS concentrations, in the coastal area of Hong Kong. Remotely-sensed data over a 13-year period was used to develop regional and local models to estimate Chl-a and SS over the entire Hong Kong waters and for each water class within the study area, respectively. The accuracy of regional models derived from EPM and NN in estimating Chl-a and SS was 83%, 93%, 78%, and 97%, respectively, whereas the accuracy of local models in estimating Chl-a and SS ranged from 60–94% and 81–94%, respectively. Both the regional and local NN models exhibited a higher performance than those models derived from empirical analysis. Thus, this study suggests using machine learning methods (i.e., NN) for the more accurate and efficient routine monitoring of coastal water quality parameters (i.e., Chl-a and SS concentrations) over the complex coastal area of Hong Kong and other similar coastal environments.

On the stress corrosion cracking of lean duplex steel in chloride environment

Duplex stainless steel having attractive combination of austenitic and ferritic properties is being used in industry such as petrochemical, pulp and paper mills. In this study, the corrosion and stress corrosion behavior of duplex stainless steel in 3.5% sodium chloride environment was investigated by weight loss measurements, electrochemical DC testing and slow strain rate test (SSRT). Weight loss data showed no significant corrosion after 1700 hours. Electrochemical polarization test in 3.5% NaCl solution exhibited a uniform corrosion rate of 0.008 mpy (calculated using Tafel analysis) showing passivity in the range of 735-950 mV. A comparison of the slow strain rate test in 3.5% NaCl solution with air shows almost a similar stress strain curve for duplex stainless steel. In comparison, the stress strain curves for 0.15% carbon steel show a loss of about 25% tensile elongation for the same comparison. The excellent corrosion and especially resistance to localized corrosion (pitting) is responsible for no loss of ductility in duplex stainless steel.

Transformations of Phosphorus and Other Plant Nutrients in Poultry Litter Composted with Sugarcane and Cabbage Wastes

ABSTRACT Poultry litter (PL) is a significant source of nutrients, but a suitable amount of carbon needs to be added as a bulking agent during its composting to a stable nutrient source. Here, we characterized the transformation of phosphorus and other plant nutrients during aerobic composting of PL with sugarcane (SW) and cabbage waste (CW) for 120 d. Periodic samples were collected during composting and analyzed for total C, P (and its fractions), K, Ca, Mg, Cu, Fe, Zn, Mn, EC and pH. At the initial stage of composting (20 d), the P fractions varied in the order: water soluble P > NaHCO3-P (readily plant-available) > HCl-P (Ca+Mg-bound) > residual-P > NaOH-P (Fe+Al-bound). After 120 d, the order was HCl-P > residual-P > water-P > NaHCO3-P > NaOH-P. These variations suggested a transformation of labile Pi to more recalcitrant forms during composting. Water soluble P was the dominant fraction during the initial composting period. This declined progressively with time of composting, while the HCl-P increased, confirming the transformation of the more vulnerable water soluble P to the more recalcitrant HCl-extractable P. This indicated that the composting could be a useful way of managing manure for P stabilization and reducing its losses in runoff water following land application. The total C varied directly with the ratio of sugarcane and cabbage wastes in the manure but was inversely related to the duration of composting. Extractable K, Ca, Mg, and Na increased whereas trace elements concentrations decreased with time of composting. The higher availability of basic plant nutrients and reduced availability of heavy metals in the mature compost are valuable attributes for safe use in sustainable agricultural production.

Growth-related changes in wheat (Triticum aestivum L.) genotypes grown under salinity stress

ABSTRACT The sensitivity of crop genotypes determines the level of growth reduction by salinity. Effect of salinity levels (7.5 and 15 dihydrate m−1) using completely randomized design (CRD) with four replications per treatment were compared on germination, chlorophyll content, water potential, ionic sodium and potassium (Na+, K+) balance, and other growth-related parameters of six wheat genotypes for varietal differences under long-term salinity stress. Chlorophyll contents at flowering stage and yield aspects at maturity of all the wheat genotypes decreased with increasing salinity. The maximum Na+ concentration was observed at 7.5 and 15 dS m−1 in Bhakhar and Saher-2000, respectively, while minimum Na+ concentration was observed for 9476. However, the maximum K+ concentration and water potential was noticed in 9476 at 7.5 dS m−1. Careful selection of salt-tolerant genotypes for field crops is an important perspective especially in the developing countries facing salinity problem. Our results revealed that the wheat genotype 9476 performed best regarding growth and physiological parameters compared to other wheat genotypes.