I pretty sure I answered this and it was B please tell me if I’m wrong
This reduction in starch content occurred because starch was changed into simple sugars
<h3>Explanation:
</h3>
Starch is a polymeric carbohydrate consist of many glucose units linked by glycosidic bonds. The iodine test is used to test for the presence of starch. Starch will change color to an intense "blue-black" colour after the addition of aqueous solutions of the triiodide anion. To do it we can add Iodine-KI reagent to a solution or directly on a potato or other materials such as bread, crackers, or flour The reaction between amylose that present in lesser amounts and iodine is said to account for the intense color change seen.
An iodine test of a tomato plant leaf revealed that starch was present at 5:00 p.m. on a sunny afternoon in July. When a similar leaf from the same tomato plant was tested with iodine at 6:00 am the next morning, the test indicates that less starch was present in this leaf than in the leaf tested the day before. This reduction in starch content occurred because starch was
- 1. changed directly into proteins
- 2. transported out of the leaves through the guard cells
- 3. transported downward toward the roots through tubes
- 4. changed into simple sugars
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This hole thing you all need to do this on your own you we all are in need of help like instead of giving the answers you should explain in many different ways for people to understand what there supposed to do
Answer:The correlated trait exercise shows that when two characters are correlated, the optimal values and selection strengths rise and fall together.
Explanation: Correlation refers to statistical (linear) relationship between two random variables. When traits are correlated, change in one is associated with change in the other.
Correlation coefficient (c.c.) measures strength of association between two variables in the same individual or experiment. It can range from -1 to +1. C.c. can be positive, negative or weak.
1. A positive c.c. means that an increase in one variable is associated with an increase in the other variable.
2. A negative c.c. means that an increase in one variable is associated with a decrease in the other.
3. A c.c. near zero indicates a weak relationship between the variables.
Correlation can be represented by scatter plot as shown in the attached image.
<span>Jeremy has change in his moods ad wanted to smoke than usual in addition to Parkinson disease, this may be because his brain is producing less acetylcholine than it suppose to. This is the reason he is lacking certain planning and control of actions and is disoriented.</span>
