Week 7 laboratory reflection Bio Lab

docx

School

Indiana University, Bloomington *

*We aren’t endorsed by this school

Course

112

Subject

Biology

Date

Apr 3, 2024

Type

docx

Pages

3

Uploaded by EarlFerretPerson1054

Report
Name: Dylan Kuharik Laboratory Reflection: Plant Transpiration (Part 2) Instructions: Make sure to scroll through the entire document to answer all questions. It would also help with grading if you put your typed answers in a different (but readable) color font . Save and upload your completed assignment to the associated assignment page on Canvas. It is the student’s responsibility to confirm that the correct file was submitted to Canvas by the due date. 1. (.5pts) Transfer the data you collected on page 6 of your laboratory protocol packet to the tables below (type in your values). Vial # Treatment Initial mass (g) Final mass (g) Change in mass (g) Transpiration rate (g/day) 1 Regular Light 58.72 45.77 12.95 1.85 2 Regular Light 49.58 45.31 4.27 0.61 3 Regular Light 48.13 46.74 1.39 0.20 4 Regular Light 56.25 48.52 7.73 1.10 5 Low Light 59.43 56.71 2.72 0.39 6 Low Light 60.02 58.21 1.81 0.26 7 Low Light 58.88 54.40 4.38 0.63 8 Low Light 57.94 54.21 3.73 0.53 1
2. (4pts) Create a graph that accurately illustrates the results from your plant transpiration experiment. Your graph must include all relevant elements, including a figure caption. Your caption should describe the graph, include a brief description of the experimental design (~1 sentence), and a results statement that includes your statistical findings (see hint below on how to do this). If needed, see additional resources linked within the assignment page on canvas. 1 2 3 4 5 6 7 8 0 10 20 30 40 50 60 70 Comparison of Initial and Final Mass (in grams) under Regular and Low Light Conditions Initial Mass (g) Final Mass (g) Sample Number (#) Mass (g) Figure 1: Graph compares initial and final mass under regular and low light conditions. Despite higher transpiration in regular light, no significant difference was found (t(6) = 1.34, p = 0.2277). 2 Note on figure captions: A complete figure contains both an image and a caption. Together, these two parts should provide enough information that a reader can understand the data presented without referring to the text. A figure caption should contain a concise description of the graphic allowing a reader to understand the figure. The information contained within the caption should include a description of the graph (similar to a title), a brief statement of the methods necessary to understand the figure, statistical information, if applicable. The caption should never begin with the words “Graph of…” or “Figure of…” Example: Figure 1. Mean weight of golden-mantled ground squirrels was 150 g greater than that of thirteen- lined ground squirrels prior to hibernation. Although both species lost weight during hibernation, golden- mantled ground squirrels exhibited greater weight loss. Hints on how to write a results statement and report statistical analyses: For any t-test you perform, you should report the t-statistic, degrees of freedom (df), and p-value. These should be reported in parentheses following a statement that explains the t-test result. For example, “There was no difference between the mean speed (mph) of mice that ate a high protein diet compared to mice that ate a low protein diet (t = 0.932, df=10, p =0.37).
3. (2pts) What do your experimental results tell you about transpiration rates in corn? In other words, what do your findings suggest regarding the impact of the environmental condition you tried to manipulate? Explain and be specific. (Hint: think back to your original research question). Based on the research question and the previous graphical statistics, it appears that the transpiration rate in corn plants is not significantly affected by light conditions, as indicated by the p-value of 0.2277. Despite observing a higher transpiration rate in normal light, the difference was not statistically significant. This suggests that corn plants may have mechanisms to maintain their transpiration rate across different light conditions. 4. (2pts) If your findings did not support your initial hypothesis and predictions, describe why that might be the case, and what you would do differently if you were to repeat this experiment. If your findings did support your initial hypothesis and predictions, describe another way that you could go about testing your hypothesis to provide additional confidence in your findings and interpretations. The findings suggest that corn plants may have mechanisms to adapt to low light conditions, maintaining their transpiration rates. This could be due to physiological adaptations or other uncontrolled environmental variables. If the experiment were to be repeated, a more controlled environment and a larger sample size could be considered for more reliable data. Additionally, varying degrees of low light conditions could be tested to understand their specific impacts on transpiration rates. 5. (1.5pts) What are two other environmental conditions that you would expect to influence transpiration rates and in what way? Explain your reasoning/logic for each. Temperature and humidity are two environmental conditions that could influence transpiration rates. Higher temperatures can increase transpiration rates as they cause water to evaporate more quickly, like the observation in the previous question where a higher transpiration rate was observed under normal light. On the other hand, lower humidity levels can lead to higher transpiration rates because dry air draws moisture out of the leaves more readily. These conditions highlight the complexity in plant physiology. 3
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help