Soto-Rojas Lauro, Rodríguez-Leyva Esteban, Bautista-Martínez Néstor, Ruíz-Galván Isabel, García-Palacios Daniel
Colegio de Postgraduados, Posgrado en Fitosanidad-Entomología y Acarología, Montecillo, Texcoco 56230, Estado de Mexico, Mexico.
Insects. 2021 Apr 8;12(4):331. doi: 10.3390/insects12040331.
Lindeman is a worldwide onion pest that causes economic losses of 10-60%, depending on many factors. Population sampling is essential for applying control tactics and preventing damage by the insect. Conventional sampling methods are criticized as time consuming, while fixed-precision binomial and sequential sampling plans may allow reliable estimations with a more efficient use of time. The aim of this work was to develop binomial and sequential sampling for fast reliable estimation of density on an onion. Forty-one commercial 1.0-ha onion plots were sampled (sample size = 200) to characterize the spatial distribution of using Taylor's power law ( = 2.586 and = 1.511). Binomial and sequential enumerative sampling plans were then developed with precision levels of 0.10, 0.15 and 0.25. Sampling plans were validated with bootstrap simulations (1000 samples) using 10 independent data sets. Bootstrap simulation indicated that precision was satisfactory for all repetitions of the sequential sampling plan, while binomial sampling met the fixed precision in 80% of cases. Both methods reduced sampling time by around 80% relative to conventional sampling. These precise and less time-consuming sampling methods can contribute to implementation of control tactics within the integrated pest management approach.
林德曼是一种世界性的洋葱害虫，根据多种因素，它会造成10%-60%的经济损失。种群抽样对于应用防治策略和防止该昆虫造成损害至关重要。传统抽样方法因耗时而受到批评，而固定精度二项式和序贯抽样计划可能能更有效地利用时间进行可靠估计。这项工作的目的是开发二项式和序贯抽样方法，以便快速可靠地估计洋葱上的[害虫名称未明确]密度。对41个面积为1.0公顷的商业洋葱地块进行抽样（样本量 = 200），以利用泰勒幂法则（α = 2.586，β = 1.511）来描述[害虫名称未明确]的空间分布。然后制定了精度水平为0.10、0.15和0.25的二项式和序贯计数抽样计划。使用10个独立数据集通过自助模拟（1000个样本）对抽样计划进行了验证。自助模拟表明，序贯抽样计划的所有重复精度都令人满意，而二项式抽样在80%的情况下达到了固定精度。相对于传统抽样，这两种方法都将抽样时间减少了约80%。这些精确且耗时较少的抽样方法有助于在综合害虫管理方法中实施防治策略。
