Exploring the Genetic Variation of Stripe Rust Foliar and Head Infection in Egyptian Wheat as an Effect of Climate Change

Abstract

Wheat stripe rust (Puccinia striiformis Westend f. sp. tritici; Pst) is a severe disease that affects wheat-growing areas worldwide. In the last few years, Pst head infection (PstHI) was recorded to cause severe yield damage in Egypt. Little information is known about PstHI. In the current study, a set of 34 Egyptian cultivars were evaluated for their Pst foliar infection (PstFI) and PstHI in two growing seasons (2021 and 2022) in Egypt. High genotypic variations in PstFI and PstHI were found. A very weak correlation was found between the resistance to PstFI and PstHI in both growing seasons. Therefore, the resistance to each symptom might be controlled by different genetic systems. The effect of PstFI and PstHI on kernel traits was investigated. PstHI was found to significantly reduce kernel width and weight in heavily diseased years. Therefore, a significant reduction in wheat yield and quality is expected in case of severe PstHI. Three Egyptian genotypes were resistant to PstFI and PstHI in both growing seasons. These genotypes could help in improving the resistance to both symptoms. However, due to the low genetic distance among them, looking for additional sources of resistance is recommended. In 2021, higher head infection was found compared with 2022. Highly significant differences in maximum temperature, minimum temperature, maximum dew point, and average dew point were found between the two growing seasons. Out of these four factors, dew point and ambient temperature were found to be possible reasons for increasing PstHI. Furthermore, 51 isolines carrying different resistance genes were included in the evaluation. At least ten stripe rust resistance genes were found to be effective against PstFI and PstHI. These ten genes should be included in future breeding programs to improve Pst resistance and understand the effect of climate change on Pst.

Genome-wide analysis for root and leaf architecture traits associated with drought tolerance at the seedling stage in a highly ecologically diverse wheat population

“…This precise phenotyping that links to genotypic data in association analyses will facilitate the identification of a specific set of QTLs for complex traits [60] . The ImageJ was previously used to identify significant SNPs associated with target traits (e.g., root angle in wheat) in QTL and GWAS studies No shared markers were found between leaf and root traits [53] , [61] , [62] , [63] .…”