Related Experiment Video
Updated: Jun 14, 2026

Dissection and Grading of Ovarian Development in Wild-Type Female Insects
Published on: July 14, 2023
Population variation of the fall armyworm, Spodoptera frugiperda, in the Western Hemisphere
Pete L Clark1, Jaime Molina-Ochoa, Samuel Martinelli
1University of Nebraska Department of Entomology, 312 F Plant Industry Building, Lincoln, NE, 68583-0816, USA. pete.l.clark@monsanto.com
Abstract:
Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), the fall armyworm is the most economically important maize pest in the western hemisphere. This research focused on the genetic variability of the maize host strain because there is a lack of information in this area of S. frugiperda research. Amplified fragment length polymorphism (AFLP) was used to assess the genetic variability of S. frugiperda over a large geographic area. Twenty populations were collected from the maize, one population was collected from princess tree, one population was collected from lemon tree, and one population was collected from bermudagrass. The 23 populations were from Mexico, the continental United States, Puerto Rico, Brazil, and Argentina. The objective of this research was to evaluate whether the majority of genetic variability was within populations or between populations. The AFLP results showed that the majority of the genetic variability is within populations and not between populations, indicating minor gene flow and suggesting that S. frugiperda in the Western Hemisphere are an interbreeding population.
More Related Videos
07:38Using Flight Mills to Measure Flight Propensity and Performance of Western Corn Rootworm, Diabrotica virgifera virgifera (LeConte)
Published on: October 29, 2019
05:20Hyperactive piggyBac Transposase-mediated Germline Transformation in the Fall Armyworm, Spodoptera frugiperda
Published on: September 23, 2021
Related Concept Videos
Mutation, Gene Flow, and Genetic Drift
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...