Cellular respiration and photosynthesis are functionally interrelated. These metabolic pathways exhibit interchangeable reactants and products.
<h3>Cellular respiration and photosynthesis</h3>
Cellular respiration refers to the metabolic reactions by which aerobic cells produce energy in the form of ATP and carbon dioxide by using the energy of chemical bonds of foods (eg., glucose) and oxygen.
Photosynthesis refers to the metabolic reactions by which plant cells produce simple carbohydrates (glucose), water and oxygen by using carbon dioxide and energy from the sun.
In consequence, oxygen and carbohydrates are the products of photosynthesis, whereas these materials are the reactants of cellular respiration (thereby both pathways are interrelated).
Learn more about photosynthesis and cellular respiration here:
brainly.com/question/1388366
<span>I believe it is because, convection currents are increased by the latent energy of condensation.
I hope this helps!</span>
Answer:
Explanation:
A food chain only follows one path of what food animals eat. A food web consists of many food chains that show how plants and animals are connected. In conclusions, a food chain focuses on a certain animal or their path and they are linear. Food webs are more complex which show how the ecosystem works together to create a balance.
Answer: The probability of producing offspring with genotype Rr is 100%.
Explanation-
Round seed is a dominant trait ( depicted by dominant R allele) whereas wrinkled seed is a recessive trait ( depicted by recessive allele r).
According to the law of segregation of genes, the alleles will separate from one another during gamete formation.
Pea plant with round seeds will produce two gametes that is R and R whereas plant with wrinkled seeds will produce r and r gametes.
When the parents are crossed, they will result in the offspring with genotype Rr ( that will exhibit round seed phenotype).
Refer punnett square.
For purposes of making a prediction, the underlying reason for a correlation does not matter. As long as the correlation is stable–lasting into the future–one can use it to make predictions. What a correlation does not tell you is why two things tend to go together.
