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Epidermal patterning in wheat
In this project, we would like to extend our knowledge to: Identification of environmental factors controlling stomatal density Research Approach
Plant growth is dependent upon water uptake and loss, the latter of which is determined by stomata. Stomatal conductance is attributable to both opening and closing of stomata and the number of stomata per area (density). Ongoing work has shown that stomatal density affects the transpiration rate in a number of species and is directly linked to water use efficiency (WUE). As stomatal density is highly heritable, it constitutes a promising target to improve WUE in crops. Our group has developed efficient tools to quantify epidermal patterning in monocots,including stomatal density. Furthermore, we have identified genomic regions controlling stomatal density in wheat.
Plant growth is dependent upon water uptake and loss, the latter of which is determined by stomata. Stomatal conductance is attributable to both opening and closing of stomata and the number of stomata per area (density). Ongoing work has shown that stomatal density affects the transpiration rate in a number of species and is directly linked to water use efficiency (WUE). As stomatal density is highly heritable, it constitutes a promising target to improve WUE in crops. Our group has developed efficient tools to quantify epidermal patterning in monocots,including stomatal density. Furthermore, we have identified genomic regions controlling stomatal density in wheat.
In this project, we would like to extend our knowledge to: Identification of environmental factors controlling stomatal density
In this project, we would like to extend our knowledge to: Identification of environmental factors controlling stomatal density
In collaboration with Agroscope, we have collected leaf imprints from ten locations across Switzerland in 2017 from 10 wheat lines. Using tools developed over the last three years at ETH Zurich, the project will quantify epidermal patterning traits in
these data. These data will be combined with environmental data to identify major environmental factors controlling epidermal patterning in wheat. This will provide a tool for breeders and scientists to better predict plant response in future adverse conditions and tailor plant response to environment.
In collaboration with Agroscope, we have collected leaf imprints from ten locations across Switzerland in 2017 from 10 wheat lines. Using tools developed over the last three years at ETH Zurich, the project will quantify epidermal patterning traits in these data. These data will be combined with environmental data to identify major environmental factors controlling epidermal patterning in wheat. This will provide a tool for breeders and scientists to better predict plant response in future adverse conditions and tailor plant response to environment.
The applicant will learn skills in: Microscopy, plant environment modelling and statistical nalysis with R.
The applicant will learn skills in: Microscopy, plant environment modelling and statistical nalysis with R.
This project is suitable for either Masters or Bachelors students, basic laboratory skills are required.
This project is suitable for either Masters or Bachelors students, basic laboratory skills are required.
For any questions or details, please contact Dr Steven Yates <steven.yates@usys.ethz.ch>
For any questions or details, please contact Dr Steven Yates <steven.yates@usys.ethz.ch>