The term weedy rice generally includes all the species of genus Oryza which has characteristics of rice and has crop in rotation with rice weeds. Weedy rice populations have been reported in many rice- growing areas in the world where the crop is directly seeded. Even though weedy rice belongs to different species and subspecies, all these plants share the ability to disseminate their grains before rice harvesting. Weedy plants can also adapt to a wide range of environmental conditions. Weedy rice grains frequently have a red pigmented pericarp and it is for this reason that the term âred riceâ is commonly adopted in international literature to identify these wild plants. This term, however, does not seem very appropriate as red-coat grains are also present in some cultivated varieties, but also absent in various weedy forms. In most rice areas the spread of weedy rice became significant mainly after the shift from rice transplanting to direct seeding, and has started to become very severe over the last 15 years, particularly in European countries, after the cultivation of weak, semi-dwarf indica-type rice varieties. The spread has generally been favoured by the planting of commercial rice seeds that contain grains of the weed.
Journal impact factor is an index or a criteria devised by Eugene Garfield to categorize journals based on their citations. Impact factor is considered as a putative marker to indicate the journal quality. But the recent policies being adopted to improve the impact factor is becoming a topic of controversies today. This current scenario questions the reliability of impact factor. The citation index cannot be considered to determine the scientific quality of an article because the technicalities are not considering the scientific quality. Knowing or reading an article is not enough to determine their quality validating the content and approving the findings and revalidating the facts is vital in scientific research. It is highly impossible to do a scholar check in each and every article to detect fraudulent or unsubstantial citations.
Last date updated on July, 2014