Detecting Phoma lingam in Brassica Seed at CSP Labs

Phoma lingam (syn. Leptosphaeria maculans), the causal agent of blackleg disease in Brassica crops, can be introduced into new production areas through infected seed. Early detection helps reduce disease risk, protect crop productivity, and support the safe movement of seed worldwide. For the global seed industry, reliable seed health testing is an important tool for identifying the pathogen before affected seed moves into production.

Why Test Brassica Seed for Phoma lingam?

Testing for P. lingam provides important information about the health of breeder, foundation, and commercial seed lots. Reliable detection can support quality assurance programs, phytosanitary compliance, and seed certification. Identifying the pathogen early also helps reduce the risk associated with moving infected seed into new production areas.

Seed Health Testing at CSP Labs

CSP Labs combines validated seed health testing methods with advanced molecular diagnostics to detect P. lingam with high accuracy. Our experienced scientists provide dependable results to support seed health programs and informed decision-making. CSP Labs has provided trusted seed health testing services for more than 30 years and is accredited to perform a wide range of seed health assays.

The Freeze-Blotter Method

The images below show Brassica seed evaluated using the freeze-blotter method. The affected seed shows pycnidia of Leptosphaeria spp. with amethyst exudate from the pycnidia, while the comparison image shows healthy Brassica seed. Together, the images provide a visual example of characteristics observed during seed health testing.

Above: Freeze-blotter method

Left: Brassica seeds with pycnidia of Leptosphaeria spp. amethyst exudate from pycnidia.

Right: Healthy Brassica seeds.

CSP Labs tests for a range of pathogens in Brassica seed beyond P. lingam. Visit our Brassica Seed Health Testing Services page to explore our full testing portfolio and learn how CSP Labs can support your seed health program.