California is home to the largest, tallest, and oldest trees on earth, all of which are gymnosperms.
Gymnosperms are plants that have seeds and are usually coniferous trees. Given that those largest, tallest, and oldest trees are sequoias, this seems to be the correct answer.
Nonvascular plants are quite small. Seedless vascular plants is also incorrect, because sequoias have seeds. Angiosperms are flowers.
The definition of Epistasis in gene biology is Choice D: when the allele of one gene masks the phenotype of another gene
Definition:
When the phenotypic effect of alleles at one gene are masked by alleles of another gene.
In essence, a gene is said to be epistatic when its presence suppresses the effect of a gene at another locus.
It is important to know that Epistatic genes are often called inhibiting genes because of their effect on other genes which are described as hypostatic.
Additionally, there are six common types of epistasis gene interactions:
- Polymeric gene interaction,
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I'm pretty sure that it's C. I'm not quite sure though.
Explanation:
Accordingly, the introductory physics laboratories have the following purposes and goals:
1. To provide an experimental foundation for the theoretical concepts introduced in the lectures. It is important that students have an opportunity to verify some of the ideas for themselves.
2. To familiarize students with experimental apparatus, the scientific method, and methods of data analysis so that they will have some idea of the inductive process by which the ideas were originated. To teach how to make careful experimental observations and how to think about and draw conclusions from such data.
3. To introduce the methods used for estimating and dealing with experimental uncertainties, including simple ideas in probability theory and the distinctions between random (statistical) and systematic "errors." This is essential in understanding what valid conclusions can be deduced from experimental data and that, properly obtained, these conclusions are valid, notwithstanding the uncertainty of the data.