Oberhänsli, Thomas; Schärer, Hans-Jakob; Thürig, Barbara; Peter, Nadine; Vonzun, Seraina; Scheiner, Christine; Dolder Laaraichi, Barbara; Kussmann, Sebastian and Messmer, Monika M. (2023) Development of a quantitative Pea Necrotic Yellow Dwarf Virus (PNYDV) screening system for the selection of resistant pea (Pisum sativum L.) accessions. In: The International Society for Plant Pathology, The French Phytopathological Society (Eds.) 12th International Congress of Plant Pathology. Book of Abstract ICPP 2023, 20-25 August 2023, Lyon, France, p. 806.
PDF
- English
(Abstract)
328kB |
Summary in the original language of the document
Pea (Pisum sativum L.) is a widely grown grain legume in temperate regions and contributes largely to protein rich food and feed and biological nitrogen fixation in the crop rotation.
However, many biotic stresses, such as fungal and viral pathogens and insect pests are crucial constraints of successful pea production. Pea necrotic yellow dwarf virus (PNYDV), an obligate aphid transmitted nanovirus, emerged in Central Europe only recently during the last 10-15 years. In contrast to other viral diseases of pea, PNYDV leads to substantial yield reduction or even complete loss in highly epidemic years. Control of this virus is challenging particularly in organic agriculture, where insecticidal treatment against the aphid vector is very limited or not allowed. The selection and breeding of resistant pea varieties is therefore the most promising approach. We have established a screening system for the selection of resistant lines by employing a newly developed qPCR assay for the differential assessment of the virus load between pea accessions upon inoculation with aphids carrying PNYDV. This quantitative assessment will allow the identification of breeding lines able to limit or suppress the virus multiplication. Breeding lines will be selected based on qPCR assay and validated in the field. This novel screening approach can be translated to other obligate aphid transmitted virus in different crops and become an important selection tool for breeding and genomic analysis.
Repository Staff Only: item control page