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KWS is testing robotic systems for mechanical weed control in sugar beet

KWS develops organic varieties that will complement the established conventional portfolio in the future.

Breeders at KWS are successfully working on the development of Cercospora-tolerant sugarbeet varieties that offer high yields.

In researching the complex trait drought stress, KWS is using a sophisticated system for phenotyping corn and sugarbeet plants.

The purpose of pre-breeding is to adapt the available breeding material in terms of resistance and yield to changing environmental conditions. To obtain the genetic diversity needed for this process, pre-breeders like Klaus Oldach cross exotic material, which comes from such sources as gene banks, with their own breeding material.

Just like their colleagues in other countries throughout Southeastern Europe, Romania’s farmers have been frequently grappling with extreme periods of drought for years. The drought stress has been detrimental to the corn crop. Modern plant breeding is giving rise to hope.

Soil with a high humus content is the key for healthy plants and a high yield. But it’s also an ideal carbon pool and contributes to climate protection. Anyone who builds up humus should be financially rewarded in the opinion of Rolf Sommer of the WWF. He’s a soils expert and knows about the challenges for the agricultural industry –and what farmers will need to change in the fields in the future.

Nothing shapes life in Argentina as much as tango, soccer and beef. Luís Parra is a farmer and cattle breeder – not to mention a fan of River Plate, the arch-rivals of Boca Juniors. Alfonso Callegari is commercial director at KWS and a Boca Juniors fan. Even though they will never agree on soccer, Callegari and Parra are pulling together as business partners. Callegari is willing to go a long way for this to happen.

Artificial intelligence is gaining in importance in seed breeding. KWS is currently developing and conducting tests with a field robot in the U.S. to find out how plant traits can be identified automatically and precisely to support variety selection decisions and enable conclusions that will help improve yields and resistances in agricultural crops.