The challenge is to develop robust ways of analysing and interpreting this mountain of data to answer questions and deliver new insights. The skill sets required to make full use of the new information extend far beyond those previously expected from biologists. There is general agreement that we need a new era of collaboration between all types of plant scientists, geographers, geologists, statisticians, mathematicians, engineers, computer scientists, and other biologists to evaluate complex data, find new relationships, develop and test hypotheses, and make discoveries.
Application multi-omics in nutrient-use-efficiency ,so that commercial crops are raised without any potential abiotic threats...
We had earlier a long debate on application of AI in different thread of RG , dear Farhana. No doubt about its application and potential use. But what will be the basis of application of AI , its our own original field -based , lab-based or experimental data, thereby , creating the basis for application of AI , if it has to forcast the anticipated impact...whatever the case may be...
It is indeed an interesting question, and I personally have been searching a lot about it recently.
In my view, the use of sophisticated machinery for intensive monitoring and analysis based on a plant genetic capabilities w.r.t to its environment to expose its true yield and potential. each plant selected will be used further for their breeding and field trials. the use of AI and Big data will of course be the part of this journey.
We don't need NEW approaches.
We need to care for all those plants which are on the brink to extinction.
Dear S. Wenkart
Yes, unfortunately, many wild ecotypes are endangered. Can you help me with how can I preserve the native cannabis ecotypes of Iran that grow wild in Iran? I work on 47 Iranian cannabis ecotypes. They are unique
Discovering the genomes and their structure depending on climate changes; introducing the CRISP-editing technologies in plant breeding and applied genetics.
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