Dad: TtBb
Mom: ttbb
You have to use distribution for dihybrid crosses. Meaning, the first allele of each trait has a equal chance of being paired with the other allele of the other trait. So for example with Dad, I will number the traits:
T(1)t(2)B(3)b(4)
To set up the possibilities from Dad, it would be 13, 14, 23, 24: TB, Tb, tB, tb. Same idea goes for Mom, except since all alleles are the same, you only need to make one column for Mom, since if you did all 4, the other 3 would just be repeats of the 1.
Cross:
tb
TB TtBb
Tb Ttbb
tB ttBb
tb ttbb
The phenotypic ratio is 1 Tall Brown: 1 Tall Blue: 1 Short Brown: 1 Short Blue
One parents would have a Homozygous trait BB for blue eyes in order for the blue eyes to be shown in an offspring.
One parents could have either heterozygous (Gb) or homozygous (GG) traits for the green eye trait to appear since it is a dominant trait.
I think the answer is most likely be J.
The first (F) one the population of the predator increases hugely while the population of the prey was neutral. And so both population didn’t seem to have any connection. Same goes for H. Graph G doesn’t make sense at all the population of the prey didn’t exist throughout the time in the graph but only exist in one single point of time and then just vanish again so that shouldn’t be the answer either.
In graph J, you can see the correlation between the two populations as the predator goes up and so does the prey.
You can search up on google predator-prey relationship graph to get better understanding.
Yes, your ear canal is connected to your brain.
This book describes how control of distributed systems can be advanced by an integration of control, communication, and computation. The global control objectives are met by judicious combinations of local and nonlocal observations taking advantage of various forms of communication exchanges between distributed controllers. Control architectures are considered according to increasing degrees of cooperation of local controllers: fully distributed or decentralized control, control with communication between controllers, coordination control, and multilevel control. The book covers also topics bridging computer science, communication, and control, like communication for control of networks, average consensus for distributed systems, and modeling and verification of discrete and of hybrid systems.
Examples and case studies are introduced in the first part of the text and developed throughout the book. They include:
<span>control of underwater vehicles,automated-guided vehicles on a container terminal,control of a printer as a complex machine, andcontrol of an electric power system.</span>
The book is composed of short essays each within eight pages, including suggestions and references for further research and reading.
By reading the essays collected in the book Coordination Control of Distributed Systems, graduate students and post-docs will be introduced to the research frontiers in control of decentralized and of distributed systems. Control theorists and practitioners with backgrounds in electrical, mechanical, civil and aerospace engineering will find in the book information and inspiration to transfer to their fields of interest the state-of-art in coordination control.
