Answer:
Population studies look at factors for one individual species.
Explanation:
In a garden, there are multiple species of plants growing. You could study different factors of each population, which is just all the individuals of one species in an area. For example, you could study how adding fertilizer affects the growth of tomato plants. To do this, you would have some tomato plants in the garden that have fertilizer added to the soil and some that don't. At the end of a certain period of time, maybe a month, measure the plants, find the average height and compare their growth. This is just one example, but there are lots of different things you could study.
Answer:
Cellulose is held by beta 1,4-glycosidic bonds making it linear while Glycogen is held by an alpha 1,4-glycosidic bond making it highly branched.
Explanation:
Cellulose and Glycogen are both carbohydrate polysaccharides formed from glucose monomers. According to the question, cellulose is a tough, fibrous, and insoluble (in water) polymer found to play a structural role in plants' cell wall while Glycogen is another polymer obtained from muscle or liver and disperses readily in hot water to make a turbid solution.
Although these two polysaccharides (cellulose and glycogen) are linked by (1, 4)-glycosidic bonds but the glucose monomers in CELLULOSE are linked by a beta 1,4-glycosidic, hence, making it a straight or linear polymer
GLYCOGEN, on the other hand, is linked by an alpha 1,4-glycosidic bond making it an highly branched polymer. This structure is responsible for the different physical properties of the two molecules.
Hypothesis: If Plant Food X is used on a tomato plant, then production rate will increase.
experiment: Gather 2 tomato plants of the same height and age. Make two groups, a control group (a tomato plant without use of fertilizer) and an experimental group (a tomato plant with using Plant Food X).
For one week, give each plant the same amount of water, humidity, sunlight, and air temperature. after a week measure the height and number of tomatoes produced. gather the info in a table and compare to hypothesis after one week.
