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مولانا منت اﷲ رحمانی

حادثۂ وفات
ماہِ مارچ ۱۹۹۱ء میں ملّتِ اسلامیہ کواپنے دو۲عظیم رہنما عالمِ دین کے حادثۂ وفات سے دوچار ہونا پڑا۔
امیر شریعت بہار حضرت مولیٰنا منت اﷲ رحمانی اور میرٹھ شہر کے مشہور عالمِ دین، اسلامی مصنف حضرت مولیٰنا قاضی زین العابدین تھوڑے سے آگے پیچھے وقفہ میں انتقال فرماگئے۔اناﷲ وانا الیہ راجعون ۔
دونوں ہی ملّتِ اسلامیہ کی عظیم وبرگزیدہ ہستیاں تھیں۔حضرت مولیٰنا منت اﷲ رحمانیؒ نے ہندوستانی مسلمانوں کی مذہبی خدمت کرنے کے لیے اپنے مرحوم عالمِ دین والد مولیٰنا محمدعلی مونگیری سے ورثہ پایاتھا۔جس طرح مولیٰنا محمدعلی مونگیریؒ نے مسلمانانِ ہندکی تعلیم و تربیت کے لیے انتھک کوشش کی اور ندوۃ العلماء لکھنؤ کوجن لوگوں نے ایک تصور سے حقیقت بننے میں مدد دی ان میں مولیٰنا محمد علی مونگیریؒ کانام سر فہرست ہے۔مسلمانوں کی خدمت میں وہ جی جان سے لگے رہے جُٹے رہے۔اسی طرح ان کے لائق و ہونہار صاحبزادے اور بعد میں مِلّتِ اسلامیہ ہند کے غازی ومجاہد مولیٰنا منت اﷲ رحمانی نے مسلمانانِ ہند کی ہر طرح خدمت ورہنمائی کی۔مسلم پرسنل لاء بورڈ میں حضرت مولیٰنا مفتی عتیق الرحمان عثمانی ؒ کی رفاقت ورہنمائی میں بڑا اہم کردار نبھایا اور حضرت مفتی عتیق الرحمن عثمانیؒ کے انتقال کے بعد انہوں نے ان کے مشن کو ان کے بتائے ہوئے رہنما اصولوں کے تحت ہی آگے بڑھانے میں کوئی دقیقہ فروگزاشت نہیں کیا۔وہ دارالعلوم دیوبند کی مجلس شوریٰ کے بھی ممبر تھے۔مسلمانوں کی کئی فلاحی انجمنوں سے بھی ان کاربط وتعلق تھا۔
بقول معاصر ’’قومی آواز‘‘ مولیٰنا منت اﷲ رحمانیؒ کی وفات حضرت مولیٰنا مفتی عتیق الرحمان عثمانیؒ کی وفات کے بعد یہ دوسرا بہت بڑا صدمہ ہندوستان کے مسلمانوں کو پہنچا ہے اوراس کمی کو پورا کرنا آسان نہ ہوگا ۔۷۹؍ سال کی عمر پائی۔
[اپریل ۱۹۹۱ء]

الاباحة في الشريعة الإسلامية والقانون الوضعي

Permissibility (al-Ibāḥah) is a kind of the Islamic law, which gives option to someone to do or not to do something. If something is done by someone under this order, no punishment or reward is liable. It nullifies the delinquency. This paper defines the lexical and technical meanings of permissibility as defined by different Islamic scholars like alShāṭibī, al-Āmidī and al-Ghazālī and the conventional law that how it removes responsibility of delinquency of an act and makes it permissible for person, who does it. Its different kinds and causes for permissibility have been discussed. It has general and particular kinds. It has also been differentiated from insanity: that when a person commits an offense under defective understanding such as childhood, mental illness and in sleeping. These conditions remove someone’s responsibility and one cannot be prosecuted by both the laws. Different rules regarding mistake and ignorance in the case of al-Ibāḥah (permissibility) has been discussed in detail. There are limitations of al-Ibāḥah and if the limits of alIbāḥah are transgressed, then, the act converts into criminality. The author, in this paper, presents a comparative study of the Islamic Law and Conventional Law on the issue of al-Ibāḥah.

Yield Forecasting of Maize for Different Agronomic Practices under Climate Change and Variability Using Simulations and Remote Sensing

Yield forecasting is becoming increasingly important in the context of climate variability and change using approaches like remote sensing and crop modeling. Climate variability and change are affecting crops and efficiency of input resources. The situation is demanding efficient management of input resources. Changing climate is also affecting current production technology which needs modification using modern tools. Two field experiments were conducted at Water Management Research Center, University of Agriculture Faisalabad, Pakistan. Field experiments addressed above mentioned issues. The first experiment included full (100%) and three reduced levels (80%, 60% and 40%) of irrigation with four levels of nitrogen (160, 200, 240 and 280 kg ha-1) at different critical growth stages of maize. Second experiment involved four sowing dates (i.e.27 January, 16 February 8 March and 28 March) and three maize hybrids (i.e. P-1543, DK6103 and NK8711) during the years 2015 and 2016. Different system approaches were used to optimize the volume of irrigation, amount of nitrogen (N) and sowing date for maize hybrids. CERES-Maize model was calibrated and evaluated with second experiment. Calibrated model was used to explore the effects of climate variability and climate change (CC) at regional scale. Different adaption strategies were developed to mitigate the negative effects of climate change. Remote sensing framework was used for regional yield forecasting that can assess seasonal and interannual variability. In first experiment results from model and economic analysis showed that the N rates of 235, 229, 233, and 210 kg ha-1 were the most economical optimum N rates to achieve the economic yield of 9321, 8937, 5748 and 3493 kg ha-1 at 100%, 80%, 60% and 40% irrigation levels, respectively. The optimum level of irrigation was 250 mm. The results of second experiment revealed that grain yield was continuously decrease with delay in Planting date, among maize hybrids Poineer-1543 performed best in spring season. Model parametrization results showed a reasonably good result in prediction of biological and grain yield with RMSE values of 963 kg ha-1 and 451 kg ha-1. Different GCMs were used for understanding the CC impacts, which indicated that there would be increase of 3.4°C in maximum and 3.8°C in minimum temperature in hotdry GCM. The reduction in maize yield due to rise in temperature will be 27% under mid-century (2040-2069). Different adaptations options could be used with RAPs then maize yield would be increased by 15%.Landcover classification of maize were done by Machine Learning algorithms which estimate 14% less area reported by Reporting Service (CRS) of Punjab Pakistan for 2015 and 2016. For yield forecasting, seasonal multitemporal, a total of 8 LST and NDVI values for 64 farms were taken to develop model. Model was used to predict the yield of previous 10 year (2007-2016) which showed a high accuracy with mean % error of 1.25. Seasonal mean Tmax and Tmin of 10 years with predicted yield showed a negative relationship with Tmax. (R2= 0.76) and Tmin. (R2= 0.69). It can be concluded from the study that modern tools are very helpful to optimize input resources to ensure food security.
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