Answer: It’s definitely not D. I’m thinking A or C
Explanation:
Because survival of the fittest mean that the ones that aren’t the best will die basically. So that why it’s not D
A scientist designed an experiment to test the effect of temperature on bacterial growth. The independent variable in this experiment was temperature.
<h3>What is the bacterial growth?</h3>
The outcomes display that microbes have a better increase price at 20, 25 and 30°C and 30°C than at 3°C. In general, an boom in temperature will boom enzyme pastime. But if temperatures get too excessive, enzyme pastime will reduce, and the protein (the enzyme) will denature.
General, the better the temperature, the greater without problems microorganisms can develop as much as a sure point. Very excessive and coffee temperatures each impede the enzyme strategies microorganisms rely on to survive.
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The number of weight gained in pregnancy should be different based on the BMI. Assuming Sadie BMI is 25-29.9kg/m2 then the normal weight gain for single pregnancy would be 15 to 25lbs.
Higher BMI will cause the normal weight gain become lower. For BMI >30kg/m2 normal weight gain would be 11-20lbs
Answer:
then landscape would rarely happens and the there will be a lot of rocks smooth surface
Explanation:i really don't know
Answer:
Height is affected by multiple pairs of genes on different chromosomes.
Explanation:
The quantitative traits are those whose inheritance pattern is the result of the action of multiple genes that act together with the environment. The distribution of quantitative traits in the population follows a bell-shaped curve, which is referred to as normal distribution or Gaussian distribution. These traits are 'quantitative' because they vary among individuals in the population to produce a continuous range of phenotypic values. Examples of quantitative traits include, among others, metabolic rate, height, and weight.
