Induction of defense mechanisms in seedlings of oilseed winter rape inoculated with Phoma lingam (Leptosphaeria maculans)

Effects of Leptosphaeria maculans race structure and fitness cost of virulence on management of phoma stem canker in oilseed rape

Fitness of virulent (avrLm1 and avrLm4) or avirulent (AvrLm1 and AvrLm4) isolates of Leptosphaeria maculans on Brassica napus without the corresponding resistance genes Rlm1 and Rlm4 was investigated in controlled environment (CE) and field experiments. Results indicate that there is a measurable fitness cost for virulent isolates compared to avirulent isolates in terms of number of lesions, si...

Assessing Quantitative Resistance against Leptosphaeria maculans (Phoma Stem Canker) in Brassica napus (Oilseed Rape) in Young Plants

Quantitative resistance against Leptosphaeria maculans in Brassica napus is difficult to assess in young plants due to the long period of symptomless growth of the pathogen from the appearance of leaf lesions to the appearance of canker symptoms on the stem. By using doubled haploid (DH) lines A30 (susceptible) and C119 (with quantitative resistance), quantitative resistance against L. maculans...

Analysis of leaf appearance , leaf death and phoma leaf spot , 1 caused by Leptosphaeria maculans , on oilseed rape ( Brassica 2 napus ) cultivars

in vitro evaluation of oilseed rape genotypes against blackleg disease caused by phoma lingam

blackleg disease of oilseed rape, caused by leptosphaeria maculans, is one of the three most important diseases of the plant in iran. it is also considered as one of the most important diseases of oilseed rape worldwide which causes serious yield losses. during 2010 the oilseed rape fields were surveyed at province golestan and plant samples demonstrating suspected symptoms of the disease were ...

North-South divide: contrasting impacts of climate change on crop yields in Scotland and England.

Effects of climate change on productivity of agricultural crops in relation to diseases that attack them are difficult to predict because they are complex and nonlinear. To investigate these crop-disease-climate interactions, UKCIP02 scenarios predicting UK temperature and rainfall under high- and low-CO(2) emission scenarios for the 2020s and 2050s were combined with a crop-simulation model pr...