Scientists find 'patterns in the noise' that could help make more accurate crop performance predictions

Scientists have identified patterns in how and when sorghum plants flower that could help plant breeders and growers predict other important traits in a wide range of environments and geographic regions. The research team created an index based on photothermal time, a crucial phase in a plant's development when it processes the environmental cues of sunlight and temperature. The research looked at sorghum, but the scientists believe the same method could be applied to a range of plants, including other crops.

Scientists find 'patterns in the noise' that could help make more accurate crop performance predictions

New research led by an Iowa State University agronomist identifies clear patterns in how plants react to different environments that could lead to new ways of predicting crop performance.

Tue 12 Jun 18 from Phys.org

Scientists find 'patterns in the noise' that could help make more accurate crop performance predictions

Scientists have identified patterns in how and when sorghum plants flower that could help plant breeders and growers predict other important traits in a wide range of environments and geographic ...

Mon 11 Jun 18 from Newswise

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