وزیر دی عقل مندی
اک ملک دی گل اے جتھے اک نیک تے سمجھ دار بادشاہ دی حکومت سی۔ اوس دی رعایا اوہدے کولوں بہت خوش سی۔ بادشاہ حکومتی معاملیاں وچ اپنے وزیر نال مشاورت کردا سی۔ بادشاہ تے وزیر دا اک اک پتر سی۔ دونواں دا آپس وچ بہت پیار سی۔
بادشاہ نے اک دن سوچیا کہ وزیر دے مرن توں بعد اوہدا منڈا وزیر بنے گا۔ جو اپنے باپ توں زیادہ سمجھ دار اے۔ کتے ایہہ نہ ہووے کہ اوہ اوہدے کولوں حکومت ای کھو لوے۔ بادشاہ تے وزیر اکٹھے سن تے اوہناں دے پتر وی۔ بادشاہ نے اک چالاک عورت نوں دونواں منڈیاں وچکار پھٹ پاون دا آکھیا۔ جدوں عورت نے بادشاہ تے وزیر تے دونواں منڈیاں نوں اکٹھا ویکھیا تاں وزیر دے منڈے نوں آواز دتی۔ جدوں اوہ اوس چالاک عورت دے کول گیا تاں اوس اوہدے کن دے کول منہ کر کے منہ پھیر لیا۔
بادشاہ دے منڈے نے وزیر دے منڈے نوں پچھیا کہ اوس زنانی تینوں کیہ آکھیا اے؟ اوس آکھیا کہ کجھ نہیں۔ شہزادے نے آکھیا کہ اوس تیرے کن وچ کوئی گل کیتی اے؟ جو توں مینوں دسنا نہیں چاہندا۔ ایس گل توں اوہ اوہدے خلاف ہو جاندا اے تے اپنے باپ نوں آکھدا اے کہ مینوں وزیر دے پتر دا خون چاہی دا اے۔ بادشاہ وزیر دے پتر نوں قتل کرن دا حکم جاری کر دیندا اے۔
وزیر بڑا سیانا ہوندا اے۔ جدوں جلاد اوس نوں قتل کرن لئی لے جارہے ہوندے نیں تاں اوہ جلاد پیسے دے کے اپنے منڈے دے کپڑیاں اتے بکرے دا خون لوا کے کپڑے بادشاہ دے پتر کول گھل دیندا اے تے اپنے پتر نوں لکا لیندا اے۔ بادشاہ ایہہ ویکھ کے بہت خوش ہوندا اے۔
The purpose of this study is to analyze the income level of gillnet fishermen <10 GT, to analyze the factors that affect the level of income, and to formulate strategies and solutions to increase income. This research was conducted at the Fish Auction Place (TPI) Pabean Udik, Pabean Udik Village, Indramayu Regency. This location was chosen because the Udik Customs Fish Auction Place (TPI) is dominated by fishermen using gillnet fishing gear who have vessels <10 GT. The method used is the census method with samples taken as a whole. The analysis used in this research is the Logistic Regression Analysis and the SWOT Analysis. Research results obtained by using IBM SPSS, namely for the Sig Value Variable in the Equation is 100%, this value is interpreted by 8 (factors) Independent variables can affect income only educational factors that do not affect income and for the results obtained from SWOT analysis namely to increase the income of gillnet fishermen <10 GT at TPI Pabean Udik, namely the development of technology and fisheries business scale, development of access to capital for fishermen, development of marketing access, development of facilities and infrastructure at TPI Pabean Udik, Development of diversification of fish management and environmentally friendly fisheries management.
Brassica species are characterized by extensive morphological diversity and the ability to adapt to a wide range of habitats and growing environments. The objective of this study was to assess the genetic divergence available in different species of Brassica for the identification of genetically diverse and agronomically superior genotypes of Brassica seed, which may generate putative transgressive segregates on hybridization. Genetic diversity in Brassica germplasm was evaluated by agro-morphological traits, total seed protein and SSR analysis. For this purpose 153 genotypes of Brassica belonging to different species, obtained from Plant Genetic Resources Program (PGRP), National Agricultural Research Center (NARC), Islamabad, Pakistan were evaluated. Brassica germplasm was evaluated over two years in the field. Altogether, 22 agro- morphological characters were determined in the collected population and multivariate analyses were performed. There was generally considerable divergence in all characters. Both principal component and cluster analyses disclosed complex relationships among the accessions and characters. Accessions with potential genes of interest to improve earliness, yield components, oil and protein contents have been identified. Length of growing period and yield components contributed most for divergence and clustering pattern. Oil, glucosinolate and protein contents also varied among the species but not so much within species. Intra and inter species diversity was also analyzed with the help of seed storage proteins by using SDS-PAGE. On the basis of banding pattern zymogram (diagrammatical representation of different protein bands) were sketched, by which molecular weight of species specific bands were calculated on the basis of Rf values of the bands on the gel. Five polymorphic markers were identified from seed proteins. These polymorphic markers clearly distinguished these Brassica species. A total of 31 protein bands were recorded ranging from the molecular weight (MW) of 10 KDa. to 114 KDa. The similarity estimates among these groups ranged from 33 to 97%.Through statistical analyses dendrogram was formed and genotypes were clustered into different groups by applying UPGMA (unweighted pair group mean analyses). xiiiThe microsatellite technique (SSR) is well described as a highly polymorphic, co- dominant marker system for animals and plants. Seventy five morphologically diverse Brassica genotypes were analyzed by PCR with 25 data base derived SSR markers to detect the genetic divergence among Brassica species at molecular level. All the primers produced polymorphism among genotypes tested except Ra2-A11 and Na12-F03. The number of alleles per microsatellite locus varied from 2 to 4. The size of the alleles ranged from 150 bp to 318 bp. The present investigation revealed high level of inter- species and medium level of intra-species variation in the accessions evaluated. These results are in accordance with the previous findings and this information will help us in early identification of the purity of genetic resources.