Over and ill-timed application of nitrogen (N), intensive tillage and heavy irrigation could lead to build up of residual nitrate in surface as well as subsurface soil layers, low fertilizer use efficiency and contamination of ground and surface water with nitrates. This is particularly true in wheat-maize crop rotation where high rates both of N and irrigation and intensive tillage are practiced to get higher yields. However, limited literature is available on the fate of applied N in wheat–maize cropping system in response to tillage, irrigation and fertilizer practices in Pakistan. Hence two experiments were conducted in the Research Area, Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad to assess the effect of irrigation, nitrogen and fertilizer practices on soil properties, crop yield, carbon sequestration and NO3-N under wheat-maize cropping sequence for two consecutive years from 2011-2013. In the first study, treatments comprised of three levels of irrigation and four levels of N in split plot design. Three levels of irrigation were 0.7, 1.0 and 1.3 of the estimated evapo-transpiration (ETc). The four N levels were 0, 110, 160 and 210 kg N ha-1 for wheat and 0, 200, 250 and 300 kg N ha-1 for maize, the recommended rate N for wheat (Triticum aestivum L.) and maize (Zea mays L) in this area is 110 and 200 kg ha-1, respectively. The N was applied either in two splits (50% at sowing + 50% at maximum tillering for wheat, 50% at sowing + 50% at knee height for maize) or three splits (50% at sowing + 25% at maximum tillering + 25% at spike initiation for wheat, 50% at sowing + 25% at knee height + 25% at tasseling for maize), therefore making a total of seven N treatments. In the second experiment, same cropping system was followed, however recommended rate of N (110 and 200 kg N ha-1 for wheat and maize, respectively) was sourced from either urea or combination of urea and farm manure (FM). Thus, there were three fertilizer treatments F1 (100% N from urea), F2 (75% N from urea and 25% N from FM) and F3 (50% N from urea and 50% from FM) at three tillage systems namely MT (minimum tillage), CT (conventional tillage) and DT (deep tillage). The treatments were replicated three times in split plot design using tillage in main plots and fertilizer practices in sub plots. The data on growth and yield parameters were recorded for both the crops at harvest. Before sowing the first crop and after harvesting fourth crop, soil samples were collected and characterized for physical (bulk density, soil saturated hydraulic xx conductivity and total porosity) and chemical (soil organic carbon and nitrate-N) properties following standard procedures. The results from the first study indicated that N at 110 and 250 kg ha-1 for wheat and maize crops, respectively not only increased growth, yield and water use efficiency of both the crops during both the years but also decreased buildup of NO3-N in soil. Application of N in 3 unequal splits (50%+25%+25%) proved better than application of N in 2 equal splits (50%+50%) in terms of improved crop yield, crop N recovery, water use efficiency and less accumulation of NO3-N in soil profile. Application of irrigation water according to crop water requirement was the best treatment in terms of better yield, crop N recovery and water use efficiency along with lower leaching of NO3-N into sub-soil. Deficit irrigation resulted in lower crop yield and higher buildup of residual NO3-N in soil. In contrast, excessive irrigation did not have any additional benefits in terms of crop yield, however resulted in lower water use efficiency and crop N recovery and greater concentration NO3-N in lower depths of soil. Results from the second field study revealed that deep tillage and conventional tillage along with combined application of inorganic and organic N sources (half N from urea + half N from FM) resulted in lower bulk density, higher saturated hydraulic conductivity and root length density (RLD) compared that with the minimum tillage. The results indicated that MT resulted in significantly higher SOC pools in surface soil (0-10 cm), conversely DT and CT caused high SOC pools in 10-40 cm soil depths. Therefore, averaged across 0-40 cm, DT and CT proved better in terms of SOC pools. The DT and CT caused greater RLD and stocks of total N and available P in soil with DT and CT compared to that with MT caused significantly higher crop yield. The DT and CT also resulted in significantly greater accumulation of NO3-N in soil compared to that with MT treatment.
یہ بھی ایک وقت تھا ہماری مائیں ہماری بہنیں عید سے پہلے ہماری رہائی کے لیے مظاہر ے کیا کرتی تھیں ہماری مائیں بھی کسی میکسم گورکی کی ماں سے کم نہیں تھیں ۔
آج حالات اس سے بدتر ہیں اب تو سیاسی قیدیوں کو غائب ہی کر دیا جا تا ہے مصطفی کانجو کو غائب کیے ہوئے پانچ مہینے ہو گئے ابھی تک کچھ پتہ نہیں کہ زندہ بھی ہے کہ نہیں۔ تصویر میں میری ماں شیخ عبدالقیوم کی بھتیجیاں اور دبنگ جیالی خالی سکینہ بادشاہ مرحومہ نمایاں ہیں جن کی بیٹی کی وڈیونیب ہیڈکواٹر کے باہر پولیس سے دست بدست لڑتے ہوئے وائرل ہوئی تھی ۔1986ء کمیٹی چوک راولپنڈی
Family Business is a very important form of business in this era and especially because of this it merely does not matter the business, but more sensitivity is of close relatives and relationships. That is why it has many administrative, Shariah and ethical complications. That is why, this theme has been created as a field of discussion and research. The most important thing in the family business is to successfully move to the next generation. It is very important to successfully succeed in transferring business towards next family generation. The “Succession Planning” is very important for this purpose. We would like to describe this plan with brief detail in this article. Along with this, whatever is written by Shariah, it will also be mentioned. The most important point is that it should be documented when the business is transferring from one generation to another generation. In this article, you will be able to get special guidance on both aspects of topic: management and sharia law.
The estimates of the Maximum Likelihood estimation method are the estimates of the global maximum likelihood function, by definition. However, the present study showed empirically that the likelihood function of the GARCH model is multimodal. Due to the presence of multimodality in the likelihood function leads to a difference in estimates at local and global maxima, and hence, Maximum Likelihood estimation methods can have unstable performance in such situations. Therefore, it will face the problem in inference and prediction, due to the difference in estimates at local and global maxima(s). Two estimation methods are chosen from the Frequentist and the Bayesian approach, respectively, to measure the significance of the difference in estimated parameters due to the presence of multimodality in the likelihood function. Besides, to calculate the level of difference, a standard method of Monte Carlo simulation method is used. The surface plot is constructed by changing the value of the Monte Carlo simulation method to evaluate their performance along the whole surface. these surfaces are then compared within each approach. Subsequently, the preferable algorithms are compared across the Bayesian and Frequentist approaches. For comparison, the present study has calculated bias and variance around the true data generating process. Empirically it is found that in case of Frequentist approach Differential Evolution (DE) algorithm is preferable estimation method for GARCH type models, as compared to Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Because there is multimodality in the likelihood function of the GARCH model, and BFGS uses a single starting value to search maximum point in the likelihood function, and often this single starting value traps into local maxima. Therefore, the estimated parameter at the local and global maxima vary, and hence, inferences and predictions. Conversely, DE uses multiple starting values with multiple chains, due to which it automatically avoid local maxima and converges to global maxima. In the case of the Bayesian approach, Robust Adaptive Metropolis (RAM) is a preferable estimation for GARCH type models as compared to Metropolis Hasting (MH). Because RAM is based on the strategy of adaptive mechanism, i.e., the Markov Chain of the RAM move to the next point, after taking information from the previous point, and finally converge to some particular value of the estimate. While MH use chain of independent nature, i.e., it does not take information while moving from one point to another point in the Markov Chain. After confirming the best estimator from frequentist and the Bayesian approach, this study compared these approaches with each other. Empirically, it is found that the Bayesian approach (RAM) is the preferable estimation method than the Frequentist approach (DE) because the level of bias and variance around the true parameter for RAM is lower than DE. Pakistan Stock Exchange (PSX) is used as a real-world application. Empirically it is found that the Bayesian approach is preferable estimation method than the frequentist approach. Reasons are followed; first, in the frequentist approach estimated parameters are the point estimates, while in the case of the Bayesian approach, the complete distribution of the estimated parameter is obtained at the low cost of simulation. Second, the distribution of the point estimate is hypothetically assumed to be normal, while in case of Bayesian approach it is not valid, i.e., the distribution of the estimates could be skewed in either direction. Therefore, the frequentist approach either over or underestimate the true value of the parameter. Finally, the standard error of the estimates which are obtained through the DE algorithm is more precise as compared to the estimates of BFGS. Therefore, the forecasting based on DE is more accurate about risk and return.