To get a quick and accurate hail damage simulation method for cotton, two-year experiments about two different simulation methods were conducted at the initial bloom stage in 2017 and 2018, respectively. Method one: five defoliation treatments (0%, 25%, 50%, 75%, and 100%) were conducted in 2017; method two: canopy height was decreased by 0%, 30%, 60%, and 90% by self-made tools in 2018. Field design was a randomized complete block with three replications. Canopy coverage (CC), leaf area index (LAI), leaf dry weight (LDW), leaf mass per unit area (LMA) and yield were obtained after damage. Results showed that LAI, LDW, CC, LMA and yield decreased with the increasing damage level in two simulations, yield decreased significantly when damage level was severe. Comparing two simulated hail damages with natural hail damage, it was shown that with the increasing damage level, the variations of LDW, CC, and yield (take LAI as an independent variable) for method two were closer to natural hail damage than those for method one. These results indicate that method two is more appropriate than method one for simulation of hail damage to cotton, which could be helpful for farmers and insurance companies to estimate potential economic losses.

为了获得快速，准确的棉花冰雹危害模拟方法，分别在2017年和2018年的初花期进行了两年的关于两种不同模拟方法的实验。方法一：2017年进行了五次脱叶处理（0％，25％，50％，75％和100％）; 方法二：在2​​018年，使用自制工具将树冠高度分别降低了0％，30％，60％和90％。现场设计是一个随机的完整块，具有三个重复项。受损后获得冠层覆盖度（CC），叶面积指数（LAI），叶干重（LDW），每单位面积的叶质量（LMA）和产量。结果表明，在两个模拟中，LAI，LDW，CC，LMA和产量均随损伤程度的增加而降低，严重程度则严重降低产量。将两个模拟的冰雹损害与自然冰雹损害进行比较，结果表明，随着损伤程度的增加，方法二的LDW，CC和产量（以LAI为自变量）的变化比方法一更接近自然冰雹危害。这些结果表明，方法2比方法1更适合于模拟冰雹对棉花的损害，这可能有助于农民和保险公司估算潜在的经济损失。