Characterization of brown rust resistance in bread wheat using yield related morphological indices
文献类型： 外文期刊
作者： Iqbal, Anum 1 ; Alam, Beena 2 ; Iqbal, Rashid 3 ; Binobead, Manal Abdulaziz 5 ; Elshikh, Mohamed S. 6 ; Izgu, Tolga 7 ; Ahmed, Temoor 8 ;
作者机构： 1.Islamia Univ Bahawalpur, Dept Bot, Bahawalpur, Pakistan
2.Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Key Lab Biol & Genet Breeding Cotton,Minist Agr, Anyang, Peoples R China
3.Islamia Univ Bahawalpur, Fac Agr & Environm, Dept Agron, Bahawalpur, Pakistan
4.Western Caspian Univ, Dept Life Sci, Baku, Azerbaijan
5.King Saud Univ, Coll Agr Food Sci, Dept Food Sci & Nutr, Riyadh, Saudi Arabia
6.King Saud Univ, Coll Sci, Dept Bot & Microbiol, Riyadh, Saudi Arabia
7.Natl Res Council CNR, Inst BioEcon IBE, I-50019 Florence, Italy
8.European Univ Lefke, Adv Res Ctr, TR-10 Mersin, Lefke, Northern Cyprus, Turkiye
9.Middle East Univ, MEU Res Unit, Amman, Jordan
关键词： Correlation; Diversity; Leaf rust; Morphological traits; Wheat genotypes; Disease resistance
期刊名称：GENETIC RESOURCES AND CROP EVOLUTION
ISSN： 0925-9864
年卷期： 2025 年 72 卷 3 期
页码：
收录情况： SCI
摘要： Current research explores adult plant resistance (APR) to brown rust (leaf rust) in diverse bread wheat genotypes using morphological traits as indicators. Leaf rust disease was induced, and various parameters, including Area Under the Disease Progress Curve (AUDPC), Final Disease Severity % (FDS), and Coefficient of Infection (CI), were assessed, along with yield-related traits like Plant Height (PH), Peduncle Length (PL), Spikelets per Spike (SPS), Number of Grains per Spike (NGPS), Thousand-Grains Weight (TGW) and Grain Yield per Plant (GYP). The study reveals varying levels of resistance among genotypes. Genotypes G3, G5, G6, G7, G12, G15, G16, G19, G21, G22, G25, G26, G27, and G30 demonstrated strong resistance, with low values for FDS, AUDPC and CI. In contrast, Genotypes G1, G8, G18 and G28 were highly susceptible, exhibiting high values for these parameters, categorizing them as "S" (Susceptible). Correlation analysis unveiled strong positive associations between AUDPC and both FDS and CI, indicating increased disease severity with rising AUDPC values. Positive correlations were also found among yield-related traits. Conversely, yield and yield-related traits showed weak, non-significant and negative correlations with disease-related parameters. Principal Component Analysis (PCA) highlighted three significant Principal Components (PCs), with the first two (F1 and F2) explaining 73.74% of data variability. Furthermore, genotype clustering indicated varying genetic similarity levels. These findings offer valuable insights for genotype selection and breeding strategies, contributing to enhanced brown rust resistance in wheat.
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