<span>The answer depends of the kind of non-randommating. If the non-random mating is the kind of positive assortative mating then it tends to increase the frequencies of homozygous genotypes. Positive assortative mating when individuals mate with other individuals like themselves. If the non-random mating is the kind of negative assortative mating, then the effect is the opposite as of the positive assortative mating, this is it tends to decrease the homozygous genotypes.</span>
Answer:
Body tube (Head): The body tube connects the eyepiece to the objective lenses. Arm: The arm connects the body tube to the base of the microscope. Coarse adjustment: Brings the specimen into general focus. Fine adjustment: Fine tunes the focus and increases the detail of the specimen
Explanation:
Answer:
Methemoglobinemia
Explanation:
Methemoglobinemia (also known as the blue baby syndrome), is a condition with multiple etiologies which is associated with the lack of oxygen in the blood. This syndrome affects the function of red blood cells by altering the amount of hemoglobin protein, which carries and distributes oxygen to the body. Methemoglobinemia may be acquired by exposure to drugs and/or toxins. In this regard, it has been shown that high levels of nitrates in the water may induce this syndrome in infants.
Geographical Isolation is the mechanism that might have led to the appearance of the Hawaiian honeycreeper.
Geographical Isolation is the term used that refers to a population of animals, plants, or other organisms that are separated and unable to exchange genetic materials with other organism of the same species.
Geographical Isolation may be a result of coincidence or accident.
Here are some factors of Geographical Isolation:
1) Isolation by barriers
2) Isolation by distance
3) Isolation after an Event
4) Isolation by separation
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.
