Department of Entomology and Agricultural Zoology, I. Ag. Sc., BHU, Varanasi, 221005, Uttar Pradesh, India; Department of Entomology, Narayan Institute of Agricultural Sciences, Gopal Narayan Singh University, Jamuhar, Sasaram, 821 305, Bihar, India.
Department of Entomology and Agricultural Zoology, I. Ag. Sc., BHU, Varanasi, 221005, Uttar Pradesh, India.
Environ Res. 2023 Aug 15;231(Pt 2):116209. doi: 10.1016/j.envres.2023.116209. Epub 2023 May 20.
Bemisia tabaci Gennadius, also renowned as the silver leaf whitefly, is among the most damaging polyphagous insect pests in many commercially important crops and commodities. A set of field experiments were conducted for three consecutive years i.e., 2018-2020, to investigate the role of variations in rainfall, temperature, and relative humidity on the abundance of B. tabaci in okra (Abelmoschus esculentus L. Moench). In the first experiment, the variety Arka Anamika was cultivated twice a year to analyse the incidence of B. tabaci concerning the prevailing weather factors and the overall pooled incidence recorded during the dry and wet season was 1.34 ± 0.51 to 20.03 ± 1.42 and 2.26 ± 1.08 to 18.3 ± 1.96, respectively. Similarly, it was observed that the highest number of B. tabaci catch (19.51 ± 1.64 whiteflies/3 leaves) was recorded in morning hours between 08:31 to 09:30 a.m. The Yellow Vein Mosaic Disease (YVMD) is a devastating disease of okra caused by begomovirus, for which B. tabaci acts as a vector. In another experiment, screening was conducted to check the relative susceptibility of three different varieties viz., ArkaAnamika, PusaSawani, and ParbhaniKranti against B. tabaci (incidence) and YVMD ((Percent Disease Incidence (PDI), Disease Severity Index (DSI), and Area Under the Disease Progress Curve (AUDPC)). The recorded data was normalized by standard transformation and subjected to ANOVA for population dynamics and PDI. Pearson's rank correlation matrix and Principal Component Analysis (PCA) have been used to relate the influences of various weather conditions on distribution and abundance. SPSS and R software were used to create the regression model for predicting the population of B. tabaci. Late sown PusaSawani evolved as a highly susceptible variety in terms of B. tabaci (24.83 ± 6.79 adults/3leaves; mean ± SE; N = 10) as well as YVMD i.e., PDI (38.00 ± 4.95 infected plants/50plants), DSI (71.6-96.4% at 30 DAS) and AUDPC (mean β-value = 0.76; R = 0.96) while early sown Parbhani Kranti least susceptible to both. However, the variety ArkaAnamika was observed as moderately susceptible to B. tabaci and its resultant disease. Moreover, environmental factors were predominantly responsible for regulating the population of insect pests in the field and hence its productivity like rainfall and relative humidity were negative while the temperature was positively correlated with B. tabaci (incidence) and YVMD (AUDPC). The findings are helpful for the farmers to choose need-based IPM strategies than timing-based, which would fit perfectly with the present agro-ecosystems in all ways.
烟粉虱(Bemisia tabaci Gennadius)又称银叶粉虱,是许多重要商业作物和商品中最具破坏性的多食性害虫之一。本研究于 2018-2020 年连续三年进行了一系列田间试验,旨在探讨降雨、温度和相对湿度变化对蕹菜(Abelmoschus esculentus L. Moench)上烟粉虱数量的影响。在第一个实验中,每年种植两次 Arka Anamika 品种,以分析烟粉虱的发生情况与当时的天气因素之间的关系。在旱季和雨季,记录到的总发病率分别为 1.34±0.51 至 20.03±1.42 和 2.26±1.08 至 18.3±1.96。同样,观察到烟粉虱最高捕获量(每 3 片叶 19.51±1.64 头)出现在上午 08:31 至 09:30 之间。另一个实验是为了检查三种不同品种(ArkaAnamika、PusaSawani 和 ParbhaniKranti)对烟粉虱(发病率)和黄脉花叶病(YVMD)(百分发病率(PDI)、疾病严重度指数(DSI)和疾病进展曲线下面积(AUDPC))的相对敏感性。通过标准转换对记录的数据进行标准化,并进行方差分析以研究种群动态和 PDI。使用 Pearson 等级相关矩阵和主成分分析(PCA)来分析各种气象条件对烟粉虱分布和丰度的影响。使用 SPSS 和 R 软件创建了预测烟粉虱种群的回归模型。晚播的 PusaSawani 成为高度易感品种,在烟粉虱方面(每 3 片叶 24.83±6.79 头成虫;平均值±标准差;N=10)以及 YVMD 方面(PDI 为 38.00±4.95 株/50 株感染植物),DSI(30 天龄时为 71.6-96.4%)和 AUDPC(平均 β 值=0.76;R=0.96)。而早播的 Parbhani Kranti 对两者的敏感性最低。然而,ArkaAnamika 品种被观察到对烟粉虱及其引起的疾病具有中等敏感性。此外,环境因素主要负责调节田间昆虫种群的数量及其生产力,因此降雨和相对湿度与烟粉虱(发病率)和 YVMD(AUDPC)呈负相关,而温度则呈正相关。这些发现有助于农民根据需要选择 IPM 策略,而不是基于时间的策略,这与目前的农业生态系统完全吻合。