Discussion and Conclusion The hypothesis made at the beginning of this experiment was not supported by the data collected throughout it. While none of the plants showed growth, the plants in the control group showed the least amount of decline. This does not exactly the fit the hypothesis of which plant will grow the most, but the data proves that the other groups showed more of a decline than the control group, making it the best way to grow the plants. As mentioned earlier, the plants in the control group decreased an average 0.202 grams, while the groups grown in stones and wood decreased approximately 0.1 gram more. Along with that, the data shows that the control plants increased an average of 0.0 centimeters in leaf length, which …show more content…
The measurements for the weights of the plants should have been accurate most of the time, but the electronic scale used to measure them malfunctioned when a leaf touched the platform. If a plant was only touching the weighing tray, the weight shown was consistent, but it would vary up and down in weight if the plant touched the platform. This did not cause any drastic changes in weight, but the measurements would have been slightly different if the plants were small enough to fit on the weighing tray. There were no plants that consistently malfunctioned. While the electronic scale was accurate for the most part, measuring the leaf length was not very accurate. It was all done by hand, which could lead to a lot of error, and it was only measured to one tenth of a centimeter. The reason for the lack of growth in the plants was most likely their location. There were very few places where they could have been put, and the best place still got very little light throughout the day. If this experiment was done again, it would be good to use a larger scale where the plant would always be able to rest on the weighing tray. It would be very good to do the experiment in a place that gets a lot more light, and have it done in the spring or summer when there would be sunlight throughout more of the
Observing the Wisconsin Fast-Plants was a monitoring experiment, we were just observers to the natural life cycle of these plants, and we did not influence their growth in any way that would not occur naturally. We took notes and observations about each stage of
Beforehand, I believed that, if fertilizer speeds the growth of plants, then the 9 pellets of fertilizer were going to make the biggest plant the fastest. I thought this because it would have the most fertilizer and if fertilizer speeds up the growth of plants then 9 must speed it up the most. However, I was not completely right with my initial prediction. My personal data came to the conclusion that the 3 pellets made the plant grow the fastest but in the class data by the end the average data showed that 9 pellets showed the most growth. This experiment was set up as four different plant seeds in four different quadrants. Each of the four quadrants had a different amount of fertilizer. We watered them and planted them in soil then every week we checked in on our plants. We measured the size if the plants and then recorded it and put them back under the fluorescent light. Then everyone recorded their data and we watched the class data on average, then the last day we measured the mass of the plants and found the class data. So although my prediction of 9 pellets of fertilizer creating the most growth was true in the class data, it was not true in my individual
The hypothesis behind this experiment is that the Gibberellic acid has a positive growth effect on the plant and causes it grow larger in height.
The results observed do not correspond with the outcome predicted by the hypothesis. Despite the nature of the subjects of the experiments, no substantial growth was observed. Only one seed of the 36 planted germinated, and it could only survive for a period of a week. The one seed that germinated reach a height of 1.2 cm. Table 1 presents the average growth observed in each quad. Each quad had a total of 12 seeds. No seeds were removed during the course of the experiment.
4. After 5 days, measure the height of the 10 plants in each pot. Add up the individual heights and divide by 10 to obtain the average height. Record the average heights in a table, as shown below.
Null Hypothesis – A plant on a window sill does not grow faster than a plant on a living room coffee table
After finishing the entire lab experiment, I find that those were the only big problems I had. If I were to improve this experiment, though, I would find a good window ledge, buy a tape measure and have a better object to block the experimental seeds from the sun. Other than these factors, I feel this lab went very successfully and that the results were reasonably accurate.
Each quad of soil had 2-3 seeds in it along with either 0, 3, 6, or 9 pellets of fertilizer in each quad to possibly get 4 plants total. Two types of fertilizer exist, organic fertilizer and synthetic fertilizer. Gardeners.com says that, organic fertilizers are made from organic materials. (1) Organic fertilizers also prevent the plant with a better structure, improving the structure of the plant. (2) Synthetic fertilizers are fast-acting fertilizers but also come in different forms such as granule, spike and pellet. (2) This kind of fertilizer is also known for seeing green in the plants quicker and quick-hit of nutrients for the plants. (2) There are advantages and disadvantages of using fertilizer. Plants can have a quick action of growth and are more defined when using fertilizer. (3) But sometimes there is a chance of using the fertilizer to much causing damage to the whole soil ecosystem. (3) Over two weeks we observed the growth of the fast plants and recorded the data of the height. By the end of the two weeks, we also recorded the weight of the fast plants. I hypothesized that each quadrant was going to be different plant growth, with the quadrant of 6 pellets (quadrant C) being the fastest growing plant. My individual results showed that the quadrant with 9 pellets (quadrant D) had the most results with growing in
A plant's growth ability is dependent on its ability to acquire the resources it needs to survive. Competition such as interspecific and intraspecific, limiting resources, and population density affect the fitness level of a plant. This experiment was conducted in order to test the capability of collards and radishes to grow in manipulated densities under interspecific and intraspecific competition. I hypothesized that both collard and radish plants will grow more efficiently in single species pots under low-density conditions. I also hypothesized that in the mixed species plots the radishes will be more fit to survive and grow better than the collard plants in both the high and low-density pots. Both high and low density and single and mixed species plots were planted and results were observed. There was a significant
For both interspecific and intraspecific competition the radish did its best however at the lowest density of 32. (Figure 1) These results did support our hypothesis that the lower the density the better the growth and the radish would thrive better at intraspecific competition however was refuted with us predicting that wheat would do better in interspecific competition. These results can possibly be explained by the idea of density-dependent growth meaning that as you increase population, resources such as light, soil, and water decrease and vice versa (Walsh and Walsh 2015). Also a possible explanation for our results is that the radish shoots were longer, taller, more in number versus the wheat shoots that were short, broad and few in number. The theory of allocating more roots if the there is less sun and bigger shots if there is less nutrient rich soil is shown in the experiment of intraspecific and interspecific competition of beans, in the end that beans that had more competition and the soil was poor had bigger leaves at the expense of its neighbors (Mania et al.
Germination of seeds, and early stages of growth are important determinants in interspecies competition (Mangla et al. 2011). Higher proportions of B. gracilis seedlings to B.rapa will allow B. gracilis to gain an advantage both in germination, and in development of its roots and shoots. B. gracilis can then establish itself and sequester resources (water, sunlight soil nutrients) for growth and survival before B. rapa. Additionally, it was predicted that the mean biomass (root and shoot) of B. gracilis would increase as the ratio of B. gracilis to B. rapa increased. Multiple roots of long length in B. gracilis will be favoured as they can better compete in water and nutrient acquisition against B. rapa (Craine and Dybzinski 2013). Increased ability to acquire nutrients thereby increases the availability of nutrients B. gracillis has to grow, increasing shoot length and thickness. On this basis, the mean height of B. gracilis was predicted to increase as the ratio of B. gracilis to B. rapa increased as
Would putting plants at a higher elevation from the ground effect it’s growth speed? Would this actually work ? The experiment was conducted to find out how much plants would grow at different elevations. To conduct this experiment, you must first take a species of plant (sunflower). Once you have these, place one of each plant at different elevations. After this, you will just need to observe the plants for a week to see how much they grow. When all the steps are completed, you must measure the growth over the course of one week. This resulted in the sunflower at the higher elevation to grow 1.3 cm higher than it’s original height, 5 cm. On the lower elevation, the sunflower grew approximately 1.7 cm higher than it’s original height,
The control group in this experiment is the group that is grown normally to test the effects of the rest of the experiment’s independent variables. Growing Brassica rapa plants in the control group will allow the other science experiments to be compared to the normal growth of a common Brassica rapa plant. The normal growth of these plants will be important in measuring the other plants to see how their sizes compare and to show how an untreated plant would grow. Because of the nature of the control group, there is no null hypothesis since all the plants should grow at the same rate. If the correct amount of sunlight and water are given to the Brassica rapa plant, then they should grow as a normal Brassica rapa plant would. The purpose of this
In fact, it was Plant E which only received indirect sunlight. Plant A, by day twenty, had only grown to twelve and one-fourth of an inch whereas Plant B had grown to seventeen inches. Throughout most of the experiment, Plant A was never the tallest plant except for day(s) four and six. I believe the reason for this is due to the fact that since Plant A had a constant rate of light, it processed way too much energy for it to be a healthy intake. Therefore, my hypothesis was proven
A plant is any of the boundless number of living beings within the biological kingdom Plantae, these species are considered of low motility since this species generally generate their own food by sunlight. They incorporate a large group of commonplace life forms including trees, forbs, bushes, grasses, vines, plants, and greeneries. In this task we are experimenting the relationship between light and plant growth by growing plants in three different lights which are red light, blue light and white light. As I stated above that plants generate their own food by sunlight. Sunlight can be broken up by a prism into respective colors of red, blue, orange, yellow, green, indigo, violet and white. All this lights have specific