Answer:
Which type of selection tends to increase genetic variation? A. Disruptive selection B. Directional selection C. Stabilizing selection
The Answer is option A (Disruptive selection)
Explanation:
Selection can either shift the mean value of a trait, reduce the trait's variation, or increase its variation.
Genetic variation which allows natural selection to increase or decrease frequency of alleles already in the population is a source of phenotypic variation as it refers to differences in all the hereditary information of members of the same species.
Disruptive Selection is important in maintaining variation and initiating speciation as it Increases Variation by favoring alleles corresponding to more extreme phenotypes. But for it to occur, the mean phenotype has to experience the lowest fitness. Disruptive selection affects the frequency distributions of alleles and genotypes within a population.
Disruptive selection is based on the variance of a trait in a population as it increases genetic variance by equalizing the frequencies of existing alleles at polymorphic loci (a genetic loci with two or more alleles). Disruptive selection maintains and may even increase variation in natural populations by favoring extreme phenotypes, individuals with extreme values for a trait have greater reproductive success than individuals with intermediate values.
A food chain can usually sustain no more than six energy transfers before all the energy is used up. And so less energy is transferred at each level of the food chain so the biomass gets smaller.
I think you are refering to the periodic table. The periodic table is important because it is organized to provide a great deal of information about elements and how they relate to one another in one easy-to-use reference. The table can be used to predict the properties of elements, even those that have not yet been discovered.
Explanation:
Fixed sample size:
In this fixed sample size the data is studied and checked in order to find a relationship. The benefits it is easy to produce, and with it less reliable outcomes can be given.
Sequential procedures:
→Sequential procedures helps while we are collecting the data.
→At an interim analysis, data collection can be stopped whenever the results are convincing enough to conclude an effect is present.
→Or otherwise the more data can be collected, or if needed the study can be terminated whenever it is extremely unlikely the predicted effect will be observed if data collection would be continued.
→In this two or more blocks of different sizes are prepared for testing.
→Pros being it provides better results and is less time taking, as we can stop once the relation is seen, con being it is difficult to perform.
Your answer is D I hope this helps ^^
