Answer:
Oxygen.
Explanation:
Oxygen molecule that is produced in the light dependent reactions. This shutting down of linear electron flow greatly affected the production of oxygen. Photosystem II gains replacement electrons from splitting of water molecules into hydrogen ions (H+) and oxygen atoms so if the electron flow is disturbed then oxygen production is greatly affected.
Because green house air is like carbon dioxide and is toxic for people to breathe in but they want to put it under an act that says it will cause u no harm
Answer:
The correct answer is option a.
Explanation:
Yes, the light reactions also depend upon the Calvin cycle. Calvin cycle refers to a phenomenon that is used by the plants and algae to convert carbon dioxide from the atmosphere into sugar, the food needed by the autotrophs in order to grow. The plants rely upon the Calvin cycle for food and energy.
In the given case, the rate of oxygen production would get diminish as the rate of ATP and NADP+ generated by the Calvin cycle diminishes. Of all the outcomes of the Calvin cycle, ADP and NADP+ are the only ones that get utilized by light reactions.
The ADP and NADP+ are used up by the light reactions to fuel their reactions. This illustrates that if the rate of ADP and NADP+ generated by the Calvin cycle diminishes the production of oxygen by the light reactions also diminishes.
The answer is: The <span>exocrine structure that is involved in the digestion of fat is </span>liver.
<span>>The liver plays an vital role in the digestion and processing of proteins, fat and sugar.
</span><span>>The liver plays a significant role in fat digestion as well as the production of fats needed for the function of different organs of the body</span>
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.
