چلے چلو کہ منزل ہے ابھی نہیں آئی
ہے جستجو کہ خوب سے ہے خوب تر کہاں
اب ٹھیرتی ہے دیکھیے جا کر نظر کہاں
منزل کے حصول کے لیے جدوجہد اور کدوکاوش ہرذی روح کا وتیرہ رہا ہے۔ منزل انہیں ملتی ہے جو جستجوئے منزل میں اپنے شب وروز گزار دیتے ہیں۔ منزل انہی کا استقبال کرتی ہے جو اس کے حصول کے لیے راستے میں آنے والی رکاوٹ کو ختم کر کے اپنا سفر جاری رکھتے ہیں۔ کچھ لوگ منازل کے تعین میں ہی اپنی زندگیاں صرف کر دیتے ہیں۔ لیکن وہ نہیں کر سکتے کہ اپنی منزل مقصود کا انتخاب کر لیں۔ بے معنی اور لایعنی باتوں کی طرف توجہ ان کی عادت ثانیہ بن چکی ہوتی ہے۔ بعض لوگ ایسے ہوتے ہیں جو منزل کا تعین تو کر لیتے ہیں لیکن عاقبت نا اندیشی کی بدولت ان کا تعین ہی صائب اور درست نہیں ہوتا۔
حشرات الارض سے لے کر انسان تک جو اشرف المخلوقات گردانا جاتا ہے ہر ایک اپنی اپنی منزل کی طرف گامزن ہے۔ مورومگس کی منزل اور ہے، گل و لالہ کی منزل اور ہے، جو ئے نغمہ خواں کی منزل اور ہے۔ حریرو پر نیاں کی منزل اور ہے، زمین پر رینگنے والے کیڑے کی منزل اور ہے، پھول کے گرد بھنبھنانے والی شہد کی مکھی کی منزل اور ہے، غلاظت کے ڈھیر پر چکر لگانے والی مکھی کی منزل اور ہے۔ گلستان سرسبز میں چہچہانے والی بلبل کی منزل اور ہے، برگد کے درخت پر بیٹھے بوم کی منزل اور ہے، آبادی کے مضافات میں شجر بار آور کی منزل اور ہے، ویرانی میں کھڑے خشک تنے والے درخت کی منزل اور ہے، فضاء میں محو پرواز عقاب وشاہین کی منزل اور ہے مردار کے گرد چکر لگانے والی گدھ کی منزل اور ہے۔
اس...
Fish Aggregating Devices (FAD's) have long been used by fishermen in South Buton Regency. This study aims to determine the utilization of FAD distribution as a fishing aid by purse sein vessels in the waters of Kadatua District, South Buton Regency. This study aims to determine the utilization of FAD distribution as a fishing tool by purse sein vessels in Kadatua District, South Buton Regency. Data collection methods include FAD point data taken from GPS (Global Position System) fishermen and dominant catch data from purse sein fishermen. The results of the study obtained data on the distribution of FADs in Kadatua District spread between a distance of 0-12 miles, during the study the coordinates of FADs were obtained as many as 79 coordinate points owned by fishermen in Kadatua District. FADs used by purse sein fishermen to carry out fishing operations have 24 FAD points, which are spread over a distance of 0 – 12 miles. In April the distribution of FADs used as fishing aids by purse sein vessels was at a distance of ± 0 – 12 miles, while in May and June FADs used as fishing aids were at a distance of ± 2 – 12 miles. The dominant fish catch data for purse sein fishermen is 690 kg in April, 525 kg in May and 735 kg in June. The dominant catch during the study was dominated by scad fish (Decapterus spp). The level of effectiveness of the dominant catch of purse sein fishermen is highest at a distance of 4-12 miles with a total catch of 1,070 kg of the total catch of 1,950 kg.
Climate change and its impact on crop productivity is a burning issue of the day .according to predictions of international panel on climate change (IPCC) and Pakistan Meteorological Department (PMD) these changes are taking place very rapidly on global level and affecting crop productivity. Their predictions are based on long term past climate data analysis with the help of general circulation models (GCMS).The aim of present study was to calibrate and validate CSM-Crop-Grow Cotton Model in DSSAT V 4.0.2. to simulate development, growth, and yield of cotton (Gossypium hirsutum L) under increased CO 2 concentration, elevated temperatures and varying rainfall scenarios. For these purpose field trials at three locations were conducted with two sowing dates, four cotton cultivars and four nitrogen levels with split-split plot design having three replications during year 2005 and 2006. The data on phenology, growth and yield were recorded and used for model calibration during 2005 (Genetic co-efficient of four cotton cultivars were determined).The model was then validated with independent set of data collected during year 2006 with same set of coefficient, long term past historic climate data of three locations (1974-2006), soil and crop management data used as input data for model and environmental modification sub menu of seasonal tool selected various climate change scenarios viz current i-e no change in environment. Elevated temperatures of + 0.9 O C and 1.8 O C, increased concentrations of CO 2 from 360 ppm to 550 ppm with no change in rainfall and increased / decreased 3% , 6% levels of rainfall expected in 2025 & 2050. The results indicated that model successfully simulated 80-90 % crop phenology and growth and 90-98 % yield accurately at various sites and can be used as reliable agronomic tool for strategy management in future. The elevated CO 2 levels would effect cotton crop growth and yield positively on all locations. Climate change analysis indicated strong influence of temperature on cotton production in Punjab, Pakistan. The yield will be substantially decreased with increasing temperature 1.8 O C and the effect was more severe at xviiilocations like Sahiwal. Increasing or decreasing 6% rainfall would affect cotton growth and yield negatively and drastic yield reductions were observed from the current. Selection of suitable cultivar, changing sowing time and nitrogen application are helpful in mitigation of adverse effects of changed climate of 2025-2050. Dominance analysis of different planting dates and cultivars at various locations suggested that 60 days early sowing of cotton crop from current at Faisalabad and Sahiwal with cultivar SLH-284, N applied @ 200 kg ha -1 is the best choice under changed climate scenarios (2050) whereas cultivar CIM -506 with nitrogen rate of 200 kg ha -1 out yielded all other cultivars when sown 15 days late from current at Multan location under changed climate scenario of 2050.