jbas
|
|
|
Abstract: Energy crisis in Pakistan is one of the severe challenges the country is facing today. Electricity is essential part of our daily life and its shortage has severely affected the economy and the other segments of society. This shortfall of electricity is increasing day by day and situation becomes worst especially in summer. The energy crisis are caused due to disproportionate dependence on non-renewable energy resources. The most effective solution that has been found to overcome such crisis is the use of tidal energy, because tidal energy has a significant advantage over many other forms of renewable energy as it is almost perfectly predicted over long time horizons. Therefore, first time an attempt has been made to estimate the tidal energy resources at Jhari creek of Indus Delta, Sindh, Pakistan. For this purpose real time tidal data is acquired from Pakistan Navy and tidal resources are estimated. Potential power density is calculated for the duration of four months May-August 2013 and found that highest potential mean spring power density was observed in June 2013 that was 1.67 W/m2. Keywords: Tidal energy, harmonic constituents, tidal range, power density and creek. |
|
|
|
Abstract: Secondary metabolites have been obtained from the Glycyrrhiza species (Fabaceae) including G. glabra, G. echinata, G. uralensis, G. triphylla and G. macedonica. These compounds 1-25 belong to the classes, steroid, saponin, flavonoid, flavonoid glycoside, triterpenic acid, coumarin, phenolic derivative, chalcone and chalcone glycoside. This review will describe the isolated compounds 1-25, obtained from Glycyrrhiza species with their biological activities up to 1966. Keywords: Glycyrrhiza glabra, Glycyrrhiza echinata, Glycyrrhiza uralensis, Glycyrrhiza triphylla, Glycyrrhiza macedonica, Licorice. |
|
|
|
Abstract: Crop yield is the resultant product of components character which is not under the control of any single gene, therefore it is necessary for plant breeder to know the relationship between two traits. The present research was conducted to calculate the correlation and regression for yield and yield contributing traits in mutant population of bread wheat. The experiment was conducted at Nuclear Institute of Agriculture (NIA), Tandojam, during rabi season 2015-2016, in split plot design with three replications. Material under study was two wheat varieties (T.D-1 and ESW-9525). These two wheat varieties were evaluated along with control for yield and yield associated traits under normal field conditions. Mean square showed that there were significant differences between wheat varieties for days to 75% heading, days to 75% maturity, plant height (cm), spikelets spike-1, grains spike-1, 1000 grain weight (g), biological yield plant-1 (g), harvest index (%), spike length (cm) and grain yield plant-1 (g). Number of grains spike-1 showed positive and highly significant correlation with spike length, spikelets spike-1, 1000 grain weight and biological yield of plant-1. Significant and positive with days to 75% maturity and harvest index. However, negative correlation was found with height of plant and non-significant but negative with the trait of days to 75% heading. Grain yield plant-1 showed highly positive highly significant association with grains spike-1, number of spikelets spike-1, length of spike, harvest index and biological yield plant-1 and negative with plant height. Approximately 85.9%, 65.2%, 59% and 24.3% variation in grain yield plant-1 is due to grains spike-1, biological yield plant-1, harvest seed index and height of plant, respectively. This shows that taller plants produce lesser grain yield. Keywords: Wheat, Correlation, Regression, Mutant, Yield.. |
|
|
|
Abstract: Various studies have reported that global warming causes unstable climate and serious impact on physical environment and public health. The increasing incidence of dengue case is now a priority health issue and has become a health burden for Pakistan. In this study it has been investigated that spatial pattern of environment causes the emergence or increasing rate of dengue fever incidence that effects the population and its health. The climatic or environmental and the Dengue Fever (DF) case data was processed by coding, editing, tabulating, recoding and restructuring and finally applying different statistical methods, techniques and procedures for the analysis and interpretation. Five climatic variables which we have studied are precipitation (P), Maximum temperature (Mx), Minimum temperature (Mn), Humidity (H) and Wind speed (W) collected from 1980-2012. The data on Dengue Fever cases in Karachi for the period 2010 to 2012 are available and reported on weekly basis. Principal Component 1 (PC1) for all groups of the period can be interpreted as the General atmospheric condition. PC2 the second important climate factor for dengue period (2010-2012) comes out contrast between precipitation and wind speed. PC3 is the weighted difference between maximum temperature and wind speed. PC4 is the contrast between maximum and wind speed. Negative Binomial and Poisson regression model are used to correlate the dengue fever incidence to climatic variable and principal component (PC) score. Due to the problems of over dispersion the Poisson models are not useful for interpretation through Negative Binomial model we found that relative humidity causes an increase on the chances of dengue occurrence by 1.71% times. While maximum temperature positively influence on the chances dengue occurrence by 19.48% times. Minimum temperature affects on the chances of dengue occurrence by 11.51% times. Wind speed is effecting negatively on the weekly occurrence of dengue fever by 7.41%times. Keywords: Principal component analysis, Dengue Fever, Negative Binomial Regression model, Poisson Regression model. |
|
|
|
Abstract: Present research was performed on twelve male lambs of Dumbi sheep breed kept in 2 management systems at Faculty of Animal Husbandry and Veterinary Sciences, Department of Livestock Management, Sindh Agriculture University, Tandojam. Animals were divided into two different groups. A groups animal were kept in semi intensive with provision of open grazing and concentrates while, Bgroup animals were kept in intensive management system with provision of green fodder and concentrate. Study was performed till 8 weeks and lambs were observed weekly foraverage body weight and carcass characteristics of both groups were recorded. The results of current study showed that average body weight of group A was (8.33 kg)found significantly high (P>0.05) as compared to the group B (6.86 kg). Moreover carcass characteristics of Dumbi lamb was also observed higher in group A as compared group B. While during comparison of the economical values of both groups, it was observed that group A was found more economical than group B. It is concluded that semi-intensive management system was found better as compared to intensive management system. Keywords: Dumbi lamb, body growth, carcass weight, management systems. |