Nida Ali
Analysis
In this class collaborative lab, we examined the effect on the average leaf length plays on Wisconsin Fast Plants based off of artificial selection.
Primarily, a histogram was constructed to display the leaf length of our first generation plants. However majority of the leaf lengths were similar to one another, which thus did not formulate a bell curve graph for the parent population before selection (Figure 1). Then the artificial selection part of the lab began when we began to select for traits that are able to display a bell curve based on collected data. We then collected the average leaf length of each individual plant and constructed the histogram below. As depicted, this histogram clearly displays a bell curve based off the average leaf length per plant rather than each individual leaf length on a plant. On average the mean of the parent population was 8.8mm and the median was 8.5mm. Most of the leaf lengths of the plants fall in 4mm-10mm mark and the outliers fall after the 14mm mark. The histogram below displays a bell curve mainly because of the 95% Confidence Intervals that is 7.94 to 9.74, the standard deviation of 3.39 and SEM of .45.
Figure 1
After day 9, we began to look for variation among the plants. We selected for plants with the longest leaf length of 12mm long as our variable trait since it varies within range and kept those leaves alive, which ended up being just 8 plants. Leaves the were under 12mm were cut off and no longer remained in this artificial plant selection lab. As shown in the histogram below of the parent population after selection (Figure 2), the average leaf length of plants dramatically altered through augmentation. The parent population after selection histogram below does not present a bell curve, unlike the histogram of P generation before selection (Figure 1), which thus states that the average leaf lengths were similar in height. Majority of the plants had an average leaf length between 12mm to 14.25mm. As for the mean, the average increased from 8.8mm, before selection from the parent population, to 13.88mm after selection. Likewise, the median also increased from before and after selection of the parent population from 8.5mm to 13.75mm. The standard deviation had a minor decrease from the P generation before survivors from 3.39 to 1.26, which thus displays that among the plants, not much change/variation was depicted.
Once the parent population survivors reproduced, the difference seen among the mean and 95% confidence intervals were much closer to the parent population before selection rather than the parent population after selection. We calculated 95% intervals in order to see if the artificial selection process was done correctly. If the 95% intervals overlapped, the average leaf lengths were similar. In contrast, if the 95% intervals did not overlap, the average leaf length were not similar. The 95% confidence intervals were not similar either which highlights that the two do not overlap. In addition, the SEM value of 4.449 remained relatively the same to that of the P generation before survivors.
Figure 2
Figure 4
Discussion
Conclusion:
The null hypothesis that there is no significant difference is seen between the two means of the parent generation before selection and F1 generation is rejected. We reject the null hypothesis because there is a significant difference among the means due to the difference seen in the P generation before selection and F1 generation 95% confidence intervals. The 95% confidence intervals do not overlap, which thus states that they were not similar. Since the leaf length means of the P generation Survivors and Offspring generation are not similar, the artificial selection for the average leaf length does not influence the offspring generations. Through this experiment, I can conclude that the role artificial selection does not largely impact generations since the trait that is selected against may in fact be randomly passed down through generations.
A few limitations occurred during this lab experiment. One limitation is that not all of the planted seeds were able to grow, which thus resulted in several plants dying out and not participating in the experiment. Therefore, our results ended up being based off of 8 plants total. In addition, another limitation is that we did not regularly monitor our plants due to the lack of time, in most cases. We only monitored the plants once the next step in the lab was about to be conducted. Therefore, if we were consistent in monitoring our plants, possibly more plants would have been produced and not dried out due to any shortages either to light or water. If more plants were produced during this lab, accurate results would have been seen.
Experimental Evaluation:
Several errors conducted during this experiment may have altered the end result of this lab if they were addressed earlier. First and foremost, a huge error that was conducted was not exactly keeping track of the days. If we focused on what needs to be done mandatory on certain days, then I believe we would have accurate results. By going a few days here and there may not, at first, seem like a massive implication, but it may massively alter our results by allowing the plants to grow a couple of more days. One common error is not properly averaging the leaf lengths. In most cases, this may have to do with the shortage of time which resulted in students to quickly rush their math conducting process. In addition, another error that may alter the end result of the experiment would be accurately trimming the plants that were no longer needed in this lab.
Even though this lab was very time consuming, considering the few months that it took to fully conduct this lab, I felt that the results we received were still sufficient to an extent regarding minor errors.
(More comments forthcoming)
ReplyDeleteAnalysis - 14/20
Discussion - 13/20