Using integrated bioinformatics and genomics approaches to understand important
traits of agricultural crops.
Not exact matches
Digital plants like these are part
of a new movement in
agricultural science called «in silico,» where researchers design highly accurate, computer - simulated
crops to help speed up selective breeding, in which plants are chosen and replanted to amplify their desirable
traits.
Mark Howden, head
of agricultural climate adaptation projects at CSIRO in Canberra, oversees projects to develop new farming systems that reduce water seepage and new
crops bred with genetic
traits suited to hotter, drier conditions and elevated carbon dioxide.
Lost
traits would be difficult to re-create, he says, because modern livestock lack living wild relatives — a reserve
of potentially useful genes that has saved
agricultural crops in the past.
That is why they have put the business up for sale, so they can «focus on the company's key profit drivers
of agricultural seeds and development
of specific genetic
traits for
crops.»