The Effect Of Carbaryl, Permethrin, And Bifenthrin On The Growth Of Brassica Rapa

Author(s)

Matt Watford

School Name

Heathwood Hall Episcopal School

Grade Level

11th Grade

Presentation Topic

Botany

Presentation Type

Non-Mentored

Abstract

The purpose of this test was to determine the effect of various pesticides on the Brassica rapa plant. The pesticides used were Carbaryl, Permethrin, Bifenthrin. The hypothesis was that if Brassica rapa is exposed to Carbaryl, the impact will be worst than the rest of the pesticides. The null hypothesis was that no pesticides will have any effect on Brassica rapa. The project was carried out in the greenhouse at Heathwood Hall with a controlled environment. The seeds were subjected to each treatment the day they were planted. The pesticides came in powder form, so they were sprinkled on top then watered. The mean growth for the control group was 29.05 cm, 26.05 cm for Carbaryl, 28.25 cm for Permethrin, and 29.35 for Bifenthrin. An ANOVA Single Variable test was used and it showed that there was no statistically significant difference in the treatments.

Location

Kinard 115

Start Date

4-16-2016 10:30 AM

COinS
 
Apr 16th, 10:30 AM

The Effect Of Carbaryl, Permethrin, And Bifenthrin On The Growth Of Brassica Rapa

Kinard 115

The purpose of this test was to determine the effect of various pesticides on the Brassica rapa plant. The pesticides used were Carbaryl, Permethrin, Bifenthrin. The hypothesis was that if Brassica rapa is exposed to Carbaryl, the impact will be worst than the rest of the pesticides. The null hypothesis was that no pesticides will have any effect on Brassica rapa. The project was carried out in the greenhouse at Heathwood Hall with a controlled environment. The seeds were subjected to each treatment the day they were planted. The pesticides came in powder form, so they were sprinkled on top then watered. The mean growth for the control group was 29.05 cm, 26.05 cm for Carbaryl, 28.25 cm for Permethrin, and 29.35 for Bifenthrin. An ANOVA Single Variable test was used and it showed that there was no statistically significant difference in the treatments.