Provide three examples of asexual plant structures

1 answer:

8 0

Asexual is when the parent can produce offspring without a partner. Plants can reproduce asexually because plants grow and endure sunlight and water to grow. When they receive that energy and food they go down from the roots. Plants can drop seeds, or they can grow new plants from roots.

You might be interested in

While mRNA strands are being created, a sequence is sometimes miscopied. What is the worst that could happen to a cell should th

mote1985 [20]

When an error occurs that leads to mutations

4 0

3 years ago

Read 2 more answers

Glucose is an example of a ______ sugar.

STatiana [176]

Lactose because it is a sugar made up of galactose and glucose.

5 0

3 years ago

Read 2 more answers

What are the approximate coordinates of the star Rigel?

AnnyKZ [126]

Answer:

approximately 860 light-years (260 pc) from Earth

8 0

3 years ago

In rheumatoid arthritis Group of answer choices articular cartilage is damaged and fibrous tissue invades. fibrous tissues ossif

ohaa [14]

Answer:

The correct answer is - all of the above.

Explanation:

Rheumatoid arthritis (RA) causes aggravation of the linning of the joints, particularly in the hands, knee, and fingers. Signs and side effects incorporate red, swollen, excruciating joints, and diminished flexibility and mobility. Articular cartilage is damaged and fibrous tissue invades

If left untreated, it can make extreme harm to the joints and serious complexities in the significant organs. In it, fibrous tissues ossify and bones fuse Rheumatoid joint inflammation is an immune system illness and osteoarthritis is brought about by impacts of maturing. The synovial membrane becomes inflamed and thickens, forming a mass.

The correct answer is - all of the above.

3 0

3 years ago

Two insecticides will be compared for their effectiveness in eliminating aphids on tomato plants. Forty tomato plants of the Big

densk [106]

Answer:

The t-test

Explanation:

<em>The researcher should use a t-test to compare the two means and check if they are significantly different from each other.</em>

In using the t-test, both null (H0) and alternate (H1) hypothesis are made such that:

H0: n1 = n2
H1: n1≠ n2

Thereafter, the value of t is calculated and compared to its critical value on the table. The formula for calculating the t goes thus:

$t = \frac{Y_1 - Y_2}{\sqrt{\frac{S_1}{n_1} + \frac{S_2}{n_2} } }$

where, Y1 = mean of population 1, Y2 = mean of population 2, S1 = variance of population 1, S2 = variance of population 2, n1 = number of individuals in population 1 and s2 = number of individuals in population 2.

<em>At the end of the day, if the calculated t value is more than the critical value of t, the H0 is rejected and it shows that the two means are significantly different. Otherwise, the H0 is accepted and this shows that there is not significant difference between the mean of population 1 and that of 2.</em>

7 0

3 years ago