The woman’s genotype is Hh because her father has the genotype hh. If the woman has children with a person who’s genotype is HH, you see 100% oval heads, you’d have genotype HH and Hh. If the woman has children with a person who is Hh, you expect 75% oval heads and 25% square heads with the genotypes HH, Hh, and hh. If she has children with some who is hh, you’d expect 50% oval, 50%square with genotype Hh and hh. To solve, use punnet squares!
Answer:
improve your muscle strength and boost your endurance.
Explanation:
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<em>2:4 homozygous recessive; 50% heterozygous.</em>
Explanation:
I will be using the letter B to represent dominant alleles and b to represent recessive alleles.
If a canary is heterozygous, that means that it will have (Bb). Hetero, means different, so it will <em>never </em>be both (BB) or (bb).
If the other canary is homozygous recessive, it will be (bb). Homo, means the same, so it will <em>never </em>be (Bb). If the canary were homozygous dominant, it would be (BB).
I made a Punnett square to figure out the ratio and the percentage that is being asked in the question. As you can see, if you bring down the alleles from both of the parents accordingly, you will get...
<u>2:4</u> of the offspring will be potentially <u>homozygous recessive</u>.
<u>50%</u> of the offspring will be <u>heterozygous</u>.
The correct answer would be <span>Carbon transports wastes in organisms .</span>
Answer:
A Wheat Harvest System Simulation Model (WHSSM) was developed and used to study the effect of different climatic conditions on returns in three main wheat growing regions in Australia. The study was carried out using 15 years (1991–2005) historical weather data for Goondiwindi, Scaddan and Tamworth. It is found that the weather conditions during the harvest period could have a significant influence on the predicted returns. For the given farm setups, the optimum harvest moisture contents for different climatic regions were quite different. For the given control parameters, the optimum harvest moisture contents for Goondiwindi, Scaddan and Tamworth were 14, 15 and 17%, respectively. Growers in a dry and warm location (e.g. Goondiwindi) would be able to delay their harvests to a later date. They would also be able to gain a better return than growers in wet and cool regions (e.g. Tamworth or Scaddan). This paper highlights the importance of optimising the integration between agricultural machinery used, crop performance and perceived weather risk.
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