Research on plants cover undoubtedly a huge area with multifaceted hypotheses,objectives, interventions and aplications with a view to human welfare.......irrespective of its being basic or applied nature.
Sampling is an important part of any kind of scientific research. But very often the time, method, interval, nature and extent of sampling have specific influences resulting in wide variations in result, interpretation out of it and conclusion there from. This should be addressed properly to avoid variations from experiments of similar nature, to remove confusions and/or misleading interpretations and wrong basic foundation hypotheses for the experiments of next level for a precise inference.
Can we have a deeper look in this area for deriving a solution towards a common or more generalised format of sampling?
Concentration of different phytochemicals differ with season of cultivation, soil, environmental condition etc.
It is a problem in Ayurveda to get same effectiveness by using same plant parts collected from different areas.
Dr. Sharangi is right in this area. Experts of the field of Agriculture have to think on the subject. A model composition of soil may be advocated for best cultivation of each important plant to get almost equal quantity of phytochemicals.
Thanks.
Dear Dr. Amit Baran Sharangi, I agree with your views. In plant science especially in the area of phytochemistry, I have noticed a lot of inconsistencies in terms of research results. A number of factors are responsible just like Dr. Shibabrata Pattanayak noted. I think poor sampling or using a small set to generalize results has not only limited the chances of success but has led to poor conclusion. Following this question to learn more on the way forward
- Badges
- Science topic
- Similar topics
- Microbiology
- Scientific Research