An investigation into the inhibiting effect of tomato juice on the germination of cress seeds.
An investigation into the inhibiting effect of tomato juice on the germination of cress seeds
Introduction
I intend to analyse the inhibiting effect of tomato juice on the germination of tomato juice. In this introduction I will answer important questions such as; what are inhibitors? How might inhibitors affect germination? , etc. When answering the questions, I will be considering different areas of the syllabus (e.g. genetics, inter-specific competition, enzymes and inhibitors, practical skills, etc.) This will help me appreciate the theory behind the investigation and hence help me formulate an effective plan and method.
Inhibitors are chemicals, which inhibit the action of an enzyme. There are two main types of inhibitors: reversible and non-reversible. Non-reversible inhibitors permanently damage enzymes. They attach themselves to the enzyme molecule and cause important bonds to break, causing irreparable damage. This denatures the enzyme and does not allow it to function.
Diagram showing non-reversible inhibition:
Normal arrangement Change caused by non-reversible
inhibitor
Reversible inhibitors inhibit the action of enzymes but do not do permanent damage. Once the reversible inhibitor is removed; the enzyme will return to normal. Reversible inhibitors can be divided into two types: competitive and non-competitive. Competitive inhibitors compete with the substrate molecules for a place on the enzyme's active site. Although enzymes are specific the inhibitors have a structure similar to the substrate molecule and so can fit into the active site. This will stop the substrate locking with the active site and therefore decrease the rate of reaction. The greater the concentration of inhibitors the less chance the substrate molecules have of binding with the active site (hence reactions slow and no germination).
Diagram to show competitive inhibition:
Normal substrate molecule substrate molecule can no longer
Fitting into active site due to presence of inhibitor molecule
Non-competitive inhibitors do not compete for a place on the active site, they attach themselves to the enzyme, and the shape of the active site is altered so that the substrate molecule can no longer fit.
If the inhibitors of the tomato juice are to inhibit germination there are various factors they can affect. For instance, the inhibitors can affect the enzyme amylase. Amylase is used to convert starch into glucose. The glucose is then used as a respiratory substrate to produce ATP. Without respiration the seed cannot germinate (because energy/ATP is needed for metabolisms for growth). So by inhibiting the enzyme amylase the inhibitors will prevent germination.
The presence of inhibitors in tomatoes can provide benefits for the tomatoes. By inhibiting the growth of other seeds they are in effect reducing inter-specific competition for essential nutrients and therefore are more likely to flourish. They will be able to gain the light, carbon dioxide, heat, etc, first and hence grow taller and maybe even block off light to the plants below them. They will be able to photosynthesise more, grow more and hence have greater productivity.
There are a number of ways in which the tomato plants could have gained the ability to produce these inhibitor chemicals. It could be as a result of mutations. Changes in the sequence of bases on the DNA are known as mutations. They occur naturally in about 1 in a million bases copied. Some environmental factors such as radiation increase the rates of mutations. Part of the genetic code could have been deleted or substituted, making a mutated genetic code that provided the information to produce the inhibitors. This can result in natural selection or survival of the fittest because this variation will help the tomato plants with this ability to have a greater share of the limited resources (because they are able to inhibit the growth of other seeds and therefore reduce competition). So the tomato plants with the inhibitors will grow more and produce more offspring. Over a long period of time only those tomato plants with the inhibitors will survive to pass on their genes (the tomato plants with the variations are able to gain light, heat, etc, more easily; they are biologically fit. The less fit tomato plants will not be able to compete in the environment and will die and not pass on their genes.) However, there still may be variation in the amount of inhibitor they produce (this is why it will be important to use the same tomato juice in all of my experiments and stir the juice to ensure constant amounts of inhibitors). So some might produce more inhibitors and therefore grow faster.
Justifying the procedure
I will now present a justification of my procedure. I plan to use large numbers of seeds in each experiment; this will lower the percentage error. The reason for this is that it is unlikely to get 100% germination, even in ideal conditions. For instance, if 15 seeds are sown and 1 doesn't germinate or I miscount by 1 then there will be an error of 6.7%. If I plant a 100 seeds and miscount by 1, then that is a 1% error. So just by increasing the number of seeds I will drastically reduce the percentage error.
I will make sure to repeat each experiment many times. This will also act to reduce the error because there will be more results and hence the experiment is more reliable. If I only do the experiment once the result could just be coincidence, by repeating the experiment 20 times, and getting similar results, it will show consistency and reliability. Furthermore I will need lots of results to carry out a significant statistical test.
I plan to use tomato juice from a carton. I will make sure that I use tomato juice from the same carton because different cartons will have different amounts of inhibitors and hence lead to inconsistencies in the results. Also, because its prepared tomato juice from a carton, I will shake it thoroughly before adding the juice so as to ensure any inhibitors are evenly spread.
Ripe tomatoes are likely to splodge onto the ground and spend the winter in the ground before germinating the following spring. The juice is likely to be diluted by the winter rain. I therefore plan to use various dilutions of juice to try and stimulate this. The concentrated tomato juice, however, might have an osmotic effect and prevent the water needed for the mobilisation of enzymes entering the seed.
I plan to use the same type of seeds in all the experiments since some seeds may have developed a resistance to the inhibitor or be more sensitive to it than others. Therefore some seeds will grow faster or slower than others, leading to inconsistencies. Also, I will use fresh seeds because they are more like to germinate (I do not want age to be a factor hindering rate of germination).
It will be important to keep the temperature the same for all experiments. I can do this in a number of ways for instance doing the experiment in a temperature-controlled room or doing all of the experiments at the same time. This is important because temperature affects the rate of enzyme activity and will affect the enzyme's controlling factors associated with germination. If the temperature is not kept constant anomalies will result. For instance, if the temperature is warm for one experiment, really hot for another and cold for a third the results will be inconsistent. In the warm experiment germination will be the quickest because the enzymes will have lots of kinetic energy, do their job quicker hence faster germination. In the really hot experiment the enzymes will be denatured and there will be no germination. Germination in the cold experiment, due to a lack of kinetic energy, will be very slow. So therefore it is very important to keep the temperature constant.
I plan to give all the seeds the same amount of water/solution since the availability of water will affect germination.
The pH has an effect on the enzymes controlling germination; I will therefore keep this constant (maybe by using a buffer solution).
I plan to put the seeds in a dark room since those are the conditions the seeds are familiar with when they germinate in the soil.
Plan
Equipment List
* 150 cupcakes
* Packet of cress seeds (with at least 6000)
* Paper towels (for absorbing ...
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I plan to give all the seeds the same amount of water/solution since the availability of water will affect germination.
The pH has an effect on the enzymes controlling germination; I will therefore keep this constant (maybe by using a buffer solution).
I plan to put the seeds in a dark room since those are the conditions the seeds are familiar with when they germinate in the soil.
Plan
Equipment List
* 150 cupcakes
* Packet of cress seeds (with at least 6000)
* Paper towels (for absorbing water)
* Water
* Measuring cylinders
* Stirrer
* Carton of tomato juice
* 6 Trays
Diagram of apparatus
Method
The independent variable in the experiment is the concentration of the tomato juice, so I must make sure that I keep all of the other variables constant (e.g. temperature, light intensity, etc). I will have six different concentrations of tomato juice: 0% (as the control), 5%, 10%, 15%, 20% and 25%. I will use 40 seeds in each experiment and repeat the experiment 25 times for each concentration. I will now outline the steps in my method:
* I will use a room with the curtains closed and no lights on.
* I will get six trays and place them on the same table (label the trays 1 to 6).
* In each tray I will place 25 cupcakes
* I will cut up paper towels into disks (same size as the base of the cupcakes)
* I will then place 5 disks of paper towels in each cupcake (the paper towels are for absorbing the water).
* I will then count and add 40 seeds to each cupcake.
* I will then make the first solution of tomato juice. The first tray is for 0% concentration of tomato juice. So I will measure a 250cm3 of distilled water and add a 10cm3 of this to each of the 25 cupcakes in the first tray.
* The second tray is for a concentration of 5%. I will make this solution by measuring 12.5cm3 of tomato juice (shake carton before pouring) and topping it up to a 250cm3 with distilled water (i.e. by adding 237.5cm3 of water). I will then add 10cm3 of this solution to each of the 25 cupcakes in tray 2.
* I will make 10% concentration of tomato juice (25cm3 of tomato juice and fill up to 250cm3 with distilled water) and add 10cm3 to each of the 25 cupcakes in tray 3.
* Make 15% (37.5cm3 of tomato juice and fill up to 250cm3 with distilled water) and add 10cm3 to each of the 25 cupcakes in tray 4.
* Make 20% (50cm3 of tomato juice and fill up to 250cm3 with distilled water) and add 10cm3 to each of the 25 cupcakes in tray 5.
* 25% (62.5cm3 of tomato juice and filled up to 250cm3 with distilled water) and add 10cm3 to each of the 25 cupcakes in tray 6.
* Note: I will add an extra 5cm3 of water to all of the cupcakes in trays 1 to 6 to make sure they all have sufficient water.
* Note: when adding the tomato juice solutions to the cupcake stir (stir same amount for each one) to make sure inhibitors are spread evenly.
So the variables I will control are:
* The temperature (by doing all of the experiments in the same temperature controlled room)
* Amount of tomato juice solution added to each cupcakes (10cm3)
* 40 seeds in each cupcake
* Same light intensity (in same room with curtains closed)
* Add 5cm3 of extra water to each cupcake (to make sure they have sufficient water)
* Use measuring cylinder for measurements
* Add same amount of paper towel to each cupcake (5 disks of paper towel to each cupcake)
* Ensure same conditions for every experiment (I will do the experiment in the same room at the same time)
* Stir the mixtures the same amount
I will repeat the experiment for each of the 6 concentrations 25 times. That is the reason why I will have 25 cupcakes in each tray.
I will check the seeds 4 days later to see which ones have germinated. The radicle emerges first, so for each cupcake I will count all the seeds where a radicle is visible and put the results into a table.
Results table , graphs, stats, etc.
Explanation of statistical techniques
Now that my data has been presented, I will carry out a statistical test to see if my results are reliable. I am going use confidence limits to analyse the results. This statistical test will allow me to determine if there is a statistically significant difference between sets of results. It will allow me to calculate limits above and below the mean of the sample within which it is 95% certain that the true mean lies.
This is how I will do it:
. For each set of result I will work out:
a) The mean (add up each result and divide it by total number of results).
b) The standard deviation:
To calculate the standard deviation for each set of result I will:
i. Total the results and work out the mean.
ii. I will then work out the deviation for each result (mean minus the number which is the result)
iii. I will then square the deviation number for each result
iv. Add up the squared values and work out the mean of the squared values (i.e. the total divided by number of results)
v. And finally find the square root of this average number. This will give the standard deviation.
I will then be able to calculate the standard error:
To calculate the standard error I will use the equation:
Standard error =
Showing my calculations to work out standard error for each set of results:
Calculating the standard error (times 2) above and below the mean number of seeds germinated for each concentration of tomato juice
What my statistical test shows
The statistical test allowed me to determine whether or not my results are due to chance. It turned out to be less than 5% so this is an indication that my results are significant and are not just due to chance.
The graph, showing the statistical errors above and below the mean number of seeds germinated, helps to give a greater understanding of the effects of tomato juice. The graph shows that the results for when there is 0% concentration of tomato juice and 5% concentration of tomato juice are significantly different (because the standard errors above and below do not overlap). This shows that tomato juice does indeed have a property that significantly affects the amount of germination. For instance, if tomato juice did not have an effect on germination, then the results after tomato juice had been added would not be significantly different than the 0% concentration (no tomato juice added) result. The graph also shows that as the concentration of tomato juice increases, the results significantly differ from when there is less tomato juice (e.g. 5% tomato juice result is significantly different from 10% concentration of tomato juice, etc, see graph). This demonstrates that there is a property of tomato juice (i.e. inhibitors) that, as its concentration increases, has a significantly greater affect on germination of cress seeds. The graph also shows that the results between 15% and 20% are not significantly different. This shows that the negative effect of tomato juice on germination only significantly increases up to a certain point (e.g. the inhibitors have already taken up most of the active sites so if you add more they will have less of a impact).
So in conclusion my results do in fact show that tomato juice has a significant, negative effect on germination. The results, however, stop short of identifying what property of the tomato juice is impeding germination. Nevertheless, thanks to my research, I can confidently say that it is inhibitors in the tomato juice, which have a negative effect on the germination of cress seeds.
Conclusion
My results unmistakably show that as the concentration of the tomato juice increases the percentage of germination decreases. For instance the mean number of seeds germinated at 0% concentration of tomato juice was 39 (98%), this fell to a mere 3 seeds (8%) germinated at 25% of tomato juice. So there is an evident link between the number of seeds germinated and the concentration of tomato juice.
The statistical analysis showed that my results were reliable (answer less than 5% so this is an indication that my results are significant and are not just due to chance). The graph, showing the statistical errors above and below the mean number of seeds germinated, helps to give a greater understanding of the effects of tomato juice. The graph shows that the results for when there is 0% concentration of tomato juice and 5% concentration of tomato juice are significantly different (because the standard errors above and below do not overlap). This shows that tomato juice does indeed have a property that significantly affects the amount of germination. For instance, if tomato juice did not have an effect on germination, then the results after tomato juice had been added would not be significantly different than the 0% concentration (no tomato juice) result. The graph also shows that as the concentration of tomato juice increases, the results significantly differ from when there is less tomato juice (e.g. 5% tomato juice result is significantly different from 10% concentration of tomato juice, etc, see graph). This demonstrates that there is a property of tomato juice (i.e. inhibitors) that, as its concentration increases, it has a significantly greater affect on germination of cress seeds. The graph also shows that the results between 15% and 20% are not significantly different. This shows that the negative effect of tomato juice on germination only significantly increases up to a certain point (e.g. the inhibitors have already taken up most of the active sites so if you add more they will have less of a impact).
My results do show that tomato juice has a significant effect on the germination of cress seeds. I can state this confidently because in the control experiment of 0% concentration of tomato juice there was an average of 98% germination; this percentage rapidly fell as I increased the tomato juice concentration (at 25% concentrated tomato juice only 8% of the seeds germinated). So the only factor that could have instigated this rapid decline in germination is the tomato juice (because everything else was kept constant). What can be debated, however, is how the tomato juice actually brings about this decline in germination. Is it because tomato juice contains inhibitors? This is probably the most credible explanation but this experiment does not beyond doubt prove that tomato juice does contain inhibitors. It could be that tomato juice does not contain inhibitors, and in fact other properties of the tomato juice affected the percentage of germination. For instance, it might have been that the tomato juice altered the pH so that the enzymes could not have functioned properly. Enzymes are complex molecules held together partly by hydrogen bonding. Hydrogen bonding occurs between negative and positive charges on the enzyme molecule. If the tomato juice decreased the pH to acidic conditions this will mean there is an excess of H+ ions. These can cause bonds to break, and change the nature of the enzyme (make them denatured). If the tomato juice increased the pH to alkaline conditions there would be an excess of OH- ions, which will have a similar effect. Another factor that might have affected germination is that the tomato juice might have had an osmotic effect (by making the water potential of the soil more negative) not allowing the water to enter the seeds. So the dilution of tomato juice allows more germination (but this would have a lower concentration of inhibitors, if these were present and allow more water to enter the seeds because it will have less osmotic effect). The fact that there was not 100% germination in the control experiment, which had no tomato juice, suggests that there might have been other factors apart from the tomato juice that were affecting germination. Competition between the seeds for water, light, temperature, etc., could have also affected germination.
It would be very difficult from this experiment alone to determine what properties of the tomato juice reduce germination. I would need to carry out other experiments to determine this, for example I could use juice from another fruit to see if it has the same effect.
However, my research suggests that tomato juice does in fact contain inhibitors (scientists have thoroughly investigated it and come to this conclusion). Furthermore it is likely that it is indeed the presence of inhibitors that affects the germination of other seeds. I will now describe in detail how inhibitors might slow down enzyme-controlled reactions:
Inhibitors are chemicals, which inhibit the action of an enzyme. There are two main types of inhibitors: reversible and non-reversible. Non-reversible inhibitors permanently damage enzymes. They attach themselves to the enzyme molecule and cause important bonds to break, causing irreparable damage. This denatures the enzyme and does not allow it to function.
Diagram showing non-reversible inhibition:
Normal arrangement Change caused by non-reversible
inhibitor
Reversible inhibitors inhibit the action of enzymes but do not do permanent damage. Once the reversible inhibitor is removed; the enzyme will return to normal. Reversible inhibitors can be divided into two types: competitive and non-competitive. Competitive inhibitors compete with the substrate molecules for a place on the enzyme's active site. Although enzymes are specific the inhibitors have a structure similar to the substrate molecule and so can fit into the active site. This will stop the substrate locking with the active site and therefore decrease the rate of reaction. The greater the concentration of inhibitors the less chance the substrate molecules have of binding with the active site (hence reactions slow and no germination).
Diagram to show competitive inhibition:
Normal substrate molecule substrate molecule can no longer
Fitting into active site due to presence of inhibitor molecule
Non-competitive inhibitors do not compete for a place on the active site, they attach themselves to the enzyme, and the shape of the active site is altered so that the substrate molecule can no longer fit.
If the inhibitors of the tomato juice are to inhibit germination there are various processes they can affect. For instance, the inhibitors can affect the enzyme amylase. Amylase is used to convert starch into glucose. The glucose is then used as a respiratory substrate to produce ATP. Without respiration the seed cannot germinate (because energy/ATP is needed for metabolisms for growth). So by inhibiting the enzyme amylase the inhibitors will prevent germination.
The presence of inhibitors in tomatoes can provide benefits for the tomatoes. By inhibiting the growth of other seeds they are in effect reducing inter-specific competition for essential nutrients and therefore are more likely to flourish. They will be able to gain the light, carbon dioxide, heat, etc, first and hence grow taller and maybe even block off light to the plants below them. Furthermore they will be able to photosynthesise more, grow more and hence have greater productivity.
There are a number of ways in which the tomato plants could have gained the ability to produce these inhibitor chemicals. It could be as a result of mutations. Changes in the sequence of bases on the DNA are known as mutations. Most mutations are a handicap to the organism (e.g. phenylketonuria, haemophilia, sickle cell anaemia, cystic fibrosis, etc.) but some do provide benefits (e.g. rats becoming resistant to warfarin, staphylococcus developing the ability, through mutations, to block the effects of penicillin, etc.). Mutations occur naturally in about 1 in a million bases copied. Some environmental factors such as radiation increase the rates of mutations. Part of the genetic code of the tomato plant could have been deleted or substituted, making a mutated genetic code that provided the information to produce the inhibitors. This can result in natural selection or survival of the fittest because this variation will help the tomato plant, with the ability to have a greater share of the limited resources (because it is able to inhibit the growth of other seeds and therefore reduce competition). So the tomato plant with the inhibitors will grow more and produce more offspring. The offspring, in turn, would pass on the genes to their offspring. Over a long period of time only those tomato plants with the inhibitors will survive to pass on their genes (the tomato plants with the variations are able to gain light, heat, etc, more easily; they are biologically fit. The less fit tomato plants will not be able to compete in the environment and will die and not pass on their genes.) However, there still may be variation in the amount of inhibitor they produce (this is why I used the same tomato juice in all of my experiments and stirred the juice to ensure constant amounts of inhibitors). So some tomato plants might produce more inhibitors and therefore grow faster. There are many examples of mutations in nature. For example, since the 1950s warfarin has been used to kill rats. Once the rats have eaten the food containing warfarin, it interferes with their blood clotting system. They undergo haemorrhages, which result in death. A few years after warfarin was first used, resistant population of rats were found. A mutation had occurred in one rat producing a new gene for warfarin resistance. It therefore lived longer and produced more offspring. These inherited the warfarin resistance gene and passed onto their offspring. The frequency of this allele in the population rapidly increased. Eventually most of the rats in the population had warfarin resistance.
The reason why the tomato juice inhibitors only affect the germination of other seeds and not their own can be satisfied with a number of explanations. I feel that there might have been a time the inhibitors did inhibit the tomato seeds as well, but the tomato plants with these properties were not able to germinate and therefore did not pass on their genes. Only the tomato plants with inhibitors that affected other seeds, and not their own, survived to pass on their genes. So in this way the tomato plants with inhibitors that only affect other seeds remained, and the plants that had inhibitors, which affected their own seeds, died off.
Evaluation
As expected my results showed that as the concentration of tomato juice increased the percentage of germination decreased (e.g. the mean number of seeds germinated at 0% concentration of tomato juice was 39 (98%), this fell to a mere 3 seeds (8%) germinated at 25% of tomato juice). For my experiments I used 25 lots of 40 seeds at each concentration. I feel that this was the right amount of results as it ensured that the results were not due to chance because I got similar results consistently. Overall, I feel that my results are reliable. This is revealed by the consistency of my results shown by the histograms I have drawn. The histograms show that, for each set, most of the results are concentrated around the mean. However there are some unreliable results, this can be seen by examining my range table. The range table shows quite a large range for each concentration. But this is expected because one or two results are bound to show inconsistencies; what is important is that the majority of the results are consistent. The greatest range in a set was from 13 to 35 (for 10% tomato juice) this could be due to a number of reasons, I could have: counted wrongly, measured the wrong amounts of solution, contaminated the experiment by accident or the error could have been down to varied conditions, different amount of inhibitors, etc., all of these factors could have contributed in producing a anomalous result. It must be noted that most of my results were consistent (the range for 0% concentration of tomato juice was only 5).
The graph, showing the statistical errors above and below the mean number of seeds germinated, confirms my theories on the effects of tomato juice on germination of cress seeds. The graph shows that the results for when there is 0% concentration of tomato juice and 5% concentration of tomato juice are significantly different (because the standard errors above and below do not overlap). This shows that tomato juice does indeed have a property that significantly affects the amount of germination. For instance, if tomato juice did not have an effect on germination, then the results after tomato juice had been added would not be significantly different than the 0% concentration (no tomato juice) result. The graph also shows that as the concentration of tomato juice increases, the results significantly differ from where there is less tomato juice (e.g. 5% tomato juice result is significantly different from 10% concentration of tomato juice, etc, see graph). This demonstrates that there is a property of tomato juice (i.e. inhibitors) that, as its concentration increases, it has a significantly greater affect on germination of cress seeds. The graph also shows that the results between 15% and 20% are not significantly different. This shows that the negative effect of tomato juice on germination only significantly increases up to a certain point (e.g. the inhibitors have already taken up most of the active sites so if you add more they will have less of a impact).
The results show normal distribution, although they do show some variation they are concentrated towards the mean (as shown in the histograms).
I felt that my experimental technique was adequate. I tried to be as consistent, precise and fair as possible. I used large numbers of seeds in each experiment; this lowered the percentage error. The reason for this is that it is unlikely to get 100% germination, even in ideal conditions. For instance, if 15 seeds are sown and 1 doesn't germinate or I miscount by 1then there will be an error of 6.7%. If I plant a 100 seeds and miscount by 1, then that is a 1% error. So just by increasing the number of seeds I drastically reduced the percentage error. I tried hard to ensure that I correctly counted 40 seeds for each experiment by double-checking. I repeated each experiment many times. This also acted to reduce the error because I had more results and hence the experiment is more reliable. If I only did the experiment once the result could have just been coincidence, by repeating the experiment 25 times, and getting similar results, showed consistency and reliability. Furthermore I needed lots of results to carry out a significant statistical test. I used tomato juice from the same carton because different cartons will have different amounts of inhibitors and hence lead to inconsistencies in the results. Also, because it is prepared tomato juice from a carton, I shook it thoroughly before adding the juice so as to ensure any inhibitors are evenly spread. I kept the temperature the same for all of the experiments. This is important because temperature affects the rate of enzyme activity and will affect the enzymes controlling factors associated with germination. If the temperature is not kept constant anomalies will result. For instance, if the temperature is warm for one experiment, really hot for another and cold for a third the results will be inconsistent. In the warm experiment germination will be the quickest because the enzymes will have lots of kinetic energy, do their job quicker hence fast germination. In the really hot experiment the enzymes will be denatured and there will be no germination. Germination in the cold experiment, due to a lack of kinetic energy, will be very slow. So therefore it was very important to keep the temperature constant. When I was identifying which seeds had germinated, I decided to count those where the radicle had appeared and made sure I was consistent and so had no difficulty counting the germinated seeds. I did not experience any difficulty with the apparatus I was using which enhanced the reliability of my results.
It is obvious that I could not keep all the other variables (temperature, light intensity, pH, etc), using the equipment available to me, constant. But I did take measures to try and ensure that as best as possible these variables were kept constant. Consequently the variables might have had effects in isolated examples, but on the whole they were kept constant.
During each experiment the water will have obviously absorbed some of the water; making the solution more concentrated. However, to try and counter this problem I added 5cm3 of extra water to each experiment (adding water to every experiment to be fair).
To eliminate the effect of pH I added a buffer solution. To make sure that the pH was indeed kept constant I could have used universal indicator and look to see for a colour change or not.
Where there were clearly anomalous results I did not count them to calculate the average.
The seeds I used were all from the same batch, this contributed to reducing much of the variation. Also, I used fresh seeds because they are more like to germinate (I did not want age to be a factor hindering rate of germination).
One possibility that could have contributed to the inhibiting germination is that the tomato juice could have had an osmotic effect; lowering the water potential of the soil. Nevertheless I do not think that this has a significant bearing on the results and one way of proving this would be use a similar concentration another fruit and see if it has the same effect.
Although my experiment was reliable there could have been a variety of errors. Miscounting the number of seeds is a major possibility. For example if I had sown 20 seeds and miscounted by 4 then it is a 20% error although it is less likely to miscount with such a small number. If I was using 60 seeds and miscounted by 4 then the percentage error will have fallen to 7%, but it would be more likely to count incorrectly with a large number of seeds. I tried to find a balance between the two and used 40 seeds; I also counted twice to make sure that it was indeed 40 seeds I was using. Another possible error is difficulty in deciding whether some seeds have germinated or not. I did not have too much problem deciding because I set a clear guideline when to decide a seed had germinated and made sure I was consistent. Nonetheless I maybe could have allocated an extra day or two to give more time for the seeds to germinate and therefore make it easier for myself to decide if a seed had germinated or not.
Even though I used tomato juice from the same carton and stirred the tomato juice solution evenly, to ensure that equal amounts of inhibitors were present, it is apt to say that the amount of inhibitors present will have varied from experiment to experiment. This would mean that for some experiments there would have been more inhibitors and hence less chance of germination. Conversely, I do not feel that the amount of inhibitors will have varied enough to have a significant impact on the results (because of the precautions I took). I can say this with confidence because my results, on the whole, were very consistent.
I tried to ensure that the other variables, for each experiment, were controlled and consistent. For instance to keep the light intensity, temperature, etc., the same I carried out the experiments in the same temperature-controlled room with the curtains closed.
I made sure that the seeds were spread evenly in each experiment to ensure that they could all get equal access to water light, etc. I also made sure to check the filter paper from time to time o make sure that it was still damp. I was worried that some of the seeds might go mouldy during the experiment and hence affect germination, but this did not happen.
There are numerous ways in which I can improve the experiment. I could:
* Use a wider range of dilutions of tomato juice
* Use more seeds in each batch (reduce percentage error)
* Have a more reliable method of counting the seeds
* Do more batches (increase reliability by showing more consistency)
* Get everyone in the group to do it exactly the same way so I can pool the results and therefore increase reliability
* Try the effect of tomato juice inhibitors on a variety of different seeds.
* Repeat the experiment with the juice of other fruit to see if they have the same effect
* Disinfect the seeds before use to destroy any bacteria and mould that could affect the results
* Carry out the experiment in a temperature controlled lab.
* Carry out the experiment in a lab where the light intensity is monitored and kept constant
* Use more reliable apparatus
* Ensure the pH does not change (buffer solution)
* Use more accurate measuring equipment (e.g. pipette) to reduce percentage error)
* Read measurement at eye level to reduce parallax error
* Give the seeds longer to germinate and hence make it easier to distinguish between seeds that have germinated and those that have not.
A Level Biology coursework:
AN INVESTIGATION INTO THE INHIBITING EFFECT OF TOMATO JUICE ON THE GERMINATION OF CRESS SEEDS
Written by Adil Lone