Ovarian ligament
The ovary is attached to the superior margin of the uterus by the ovarian ligament.
The mesovarium is the portion of the wide ligament that suspends the ovaries, Option A is wrong.
The broad ligament is a peritoneal fold that joins the uterus to the lateral walls of the pelvis, Option B is wrong.
Option D is incorrect since the lateral peritoneal fold that joins the ovary to the lateral abdominal wall is the suspensory ligament.
Option E is wrong since the uterus is supported by rounded ligaments.
<h3>
What are ovaries?</h3>
The female pelvic reproductive organs known as the ovaries contain the ova and are in charge of producing sex hormones. They are paired organs that are situated in the wide ligament below the uterine (fallopian) tubes, one on either side of the uterus. The ova, or eggs, required for reproduction are stored in and released by the ovaries. A female possesses between one and two million eggs at birth, but only 300 of them will ever develop and be released for fertilization.
The utero-ovarian ligament or ovarian ligament are other names for the ovary's normal ligament. In the female body, the ligament joins the uterus with the ovary.
I understand the question you are looking for is this:
The ovary is attached to the superior margin of the uterus by the _____.
(a) mesovarium
(b) broad ligament
(c) ovarian ligament
(d) suspensory ligament
(e) round ligament
Learn more about ovaries here:
brainly.com/question/22362297
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C.) Here, only "Flatworm" has bilateral symmetry
Hope this helps!
<span>budding
- Outgrowth and eventual splitting off of a new individual from a parent
- Fission is the separation of a parent into two or more offspring of about equal size
- Fragmentation is the breaking of the parent body into several pieces follow by regeneration</span>
Answer:
a. Variables interact resulting in higher probability of illness.
Explanation:
Causality is the relationship between an event A (the cause) and a second event B (the effect), provided that the second event is a consequence of the first. Causality is logically identified in "if not A, then not B", provided the empirical occurrence of at least one B. The above expression is not strictly equivalent to the expression "if A then B", but this is not that the one usually linked in common sense to the concept of causality. Many causal models are used to explain phenomena, whether in science or common sense. In biological sciences, the use of chance models asserts that variables interact resulting in a higher probability of a disease.