N. Shah, Jamal-u-ddin Hajano, Manzoor Ali Abro, A. M. Lodhi
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引用次数: 0
摘要
由begomvirus (s)引起的棉花卷曲病(CLCuD)是巴基斯坦棉花的重要经济病害。利用自然耐药源对CLCuD进行管理具有重要意义,被认为是一种长期的管理策略。本研究通过3次重复试验,评价了33个棉花基因型在巴基斯坦信德省农业生态系统中的抗性潜力。在田间条件下,每隔30 d观察CLCuD的发病率和严重程度。然后根据每个时间点疾病发病率和严重程度的初始观测值计算疾病指数,最后计算疾病指数的疾病进展曲线下面积(Area Under the disease Progress Curve, AUDPC),作为疾病的半定量估计。结果显示,2018年和2019年被测基因型疾病指数AUDPC值分别为LSD=41666, P=0万和LSD=70297, P=0万,差异有统计学意义。2018年,BT.CIM-678(664109)的AUDPC值最高,其次是crisr -585(277732)、crisr -613(133917)和crisr -522(159272)。其余基因型的AUDPC值显著降低。第二年的实验也得到了类似的结果。因此,信德省农业生态系统不宜培育BT.CIM-678、crisr -585、crisr -613和crisr -522。应该进行进一步的研究,以实现该疾病的生态管理。
Field Screening of Cotton Genotypes for Resistance to Cotton Leaf Curl Disease (CLCuD) in Sindh
Cotton leaf curl disease (CLCuD) caused by Begomovirus(s) is economically important disease of cotton in Pakistan. Management of CLCuD using natural sources of resistance has great significance and is recognized as long term management strategy. In present study, we evaluated resistant potential of 33 cotton genotypes in agro-ecosystem of Sindh, Pakistan within thrice repeated experiments. Observations were taken at interval of 30 days after sowing on incidence and severity of CLCuD under field conditions. Then the disease index was calculated from values of initial observations on incidence and severity of the disease at each time point and finally Area Under the Disease Progress Curve (AUDPC) was calculate for the disease index and presented as semi-quantitative estimate of the disease. Results showed that there was significant difference among AUDPC values of the disease index of tested genotype (LSD=41666, P=0,0000 and LSD=70297, P= 0.0000) during 2018 and 2019, respectively. Significantly highest AUDPC value was recorded in BT.CIM-678 (664109) followed by CRIS-585 (277732) and CRIS-613 (133917) and CRIS-522 (159272) during 2018. The remaining genotypes gave significantly lower AUDPC values. Similar results were obtained during next year of experiment. Therefore, it is concluded that cultivation of BT.CIM-678, CRIS-585, CRIS-613 and CRIS-522 should be avoided in agro-ecosystem of Sindh. Further studies should be conducted for eco-friendly management of the disease.