This project is using novel plant populations and tools that examine behaviour under complex stresses and examine the plants’ genetic content to develop high quality resilient crops, reducing inputs and allowing the Scottish population to locally source more fruit and vegetables.

In sum, horticultural crop production in Scotland needs to be enabled to reduce its environmental footprint and develop increased resilience. The development of new germplasm and an ability to phenotype and genotype populations for sustainability traits in these genetically complex crops is assisting in breeding programmes. This project is assisting the development of resilient and sustainable crop varieties and production systems that allow the industries to become sustainable.

Population Development and genotyping

This project is enhancing and exploiting germplasm resources using genetic and genomic tools and combining the different datasets to undertake complex aggregated queries across genotype and sequence databases to understand trait control and to support marker development for breeding. We are using genetic approaches to develop crop resources that can be exploited to provide a delivery vehicle for breeding cultivars suitable for future climate change scenarios and enhanced food security. This focus on more complex traits necessitates the development of underpinning phenotyping methods that allow us to understand the underpinning physiological basis of resilient traits using techniques suitable for both controlled environments and field assessments of crops.

For potatoes, we are placing major emphasis on enabling access to traits for abiotic and biotic stress resistances that threaten primary production, with a secondary focus on quality traits identified by stakeholders as being critical to profitability and consumer health. For soft fruits, we are enabling access to abiotic and biotic stress traits that affect yield, resistance, crop ripening, dormancy, and bush architecture; while also taking into consideration those parameters important to growers (resilience to seasonal variability, ease of pick, nutrition, and growing regime) as well as consumers (regional, high quality, sustainable).

Phenotyping tool development

The broader aim of this project is to develop tools and methods for quantitative phenotypic assessment of plant performance in response to multiple and complex stresses. This has significant value in research and breeding for resilience as well as having the potential for methods to be developed on-farm for growers to assess crop performance and conduct precision management. Imaging techniques combined with automated analysis linked to underpinning physiological processes have the potential to provide efficient large-scale high throughput phenotyping data. This was demonstrated previously, however, we are advancing these methods in the following areas:

1. Linking information from high-throughput imaging technologies to the underlying physiological/biochemical plant status.

2. Developing techniques and algorithms for image processing and data extraction from whole plants under both controlled and field conditions.

3. Analysing and understanding the links between crop developmental stage, physiological status and data obtained from different imaging techniques combined with the need to predict plant performance in the field from simple phenotyping methods conducted at an early developmental stage.