Part Three - Seed Weight in MaizeAn important quantitative trait in maize is seed weight. Obviously, a maize line that produceslarger kernels will have a higher yield and will be thus more profitable to grow. Breeders mayalso be interested in developing varieties whose kernels are enriched for the essential aminoacids and thus provide better nutrition when used as livestock feed.One mutation that appeared to offer just that was opaque-2 (so called because the kernelstransmit light poorly compared to normal kernels). The seed protein from plants homozygousfor the opaque-2 mutation was found to have a significantly better balance of the essentialamino acids than that from normal maize. Unfortunately, kernels of the opaque-2 line aresmaller than normal, leading to lower yield and reduced profits for farmers. (This line hasother deficiencies as well, including increased susceptibility to insect pests and poor germina-tion rates.)Again, you will be given data from a previous class.From the weights for each group entered on the Exercise Data Sheets, calculate the mean,variance, and standard deviation of kernel weight in the two parental lines and their F, and F,IGS LADNUALgenerations. Use these values and the Sewall Wright formula to calculate n, and estimate thenumber of genes for seed weight segregating in this cross.Part Three - Seed Weight in MaizeNo.P,P2F,F212.941.252.372.242.891.072.522.372.491.662.772.8942.731.632.492.912.771.492.572.432.941.352.432.432.271.132.322.4983.271.322.483.04(Xp-Xp2)2

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Description: Part Three - Seed Weight in MaizeAn important quantitative trait in maize is seed weight. Obviously, a maize line that produceslarger kernels will have a higher yield and will be thus more profitable to grow. Breeders mayalso be interested in develo

Given data: No. P1 P2 F1 F2 1 2.94 1.25 2.37 2.24 2 2.89 1.07 2.52 2.37 3 2.49 1.66 2.77…

Answered: 2.77 1.49 2.57 2.43 2.94 1.35 2.43 2.43…

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2.77 1.49 2.57 2.43 2.94 1.35 2.43 2.43 2.27 1.13 2.32 2.49 3.27 1.32 2.48 3.04 (XP-Xp)2 8 (S2)- (S1)?

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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

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Part Three - Seed Weight in Maize
An important quantitative trait in maize is seed weight. Obviously, a maize line that produces
larger kernels will have a higher yield and will be thus more profitable to grow. Breeders may
also be interested in developing varieties whose kernels are enriched for the essential amino
acids and thus provide better nutrition when used as livestock feed.
One mutation that appeared to offer just that was opaque-2 (so called because the kernels
transmit light poorly compared to normal kernels). The seed protein from plants homozygous
for the opaque-2 mutation was found to have a significantly better balance of the essential
amino acids than that from normal maize. Unfortunately, kernels of the opaque-2 line are
smaller than normal, leading to lower yield and reduced profits for farmers. (This line has
other deficiencies as well, including increased susceptibility to insect pests and poor germina-
tion rates.)
Again, you will be given data from a previous class.
From the weights for each group entered on the Exercise Data Sheets, calculate the mean,
variance, and standard deviation of kernel weight in the two parental lines and their F, and F,
IGS LAD
NUAL
generations. Use these values and the Sewall Wright formula to calculate n, and estimate the
number of genes for seed weight segregating in this cross.
Part Three - Seed Weight in Maize
No.
P,
P2
F,
F2
1
2.94
1.25
2.37
2.24
2.89
1.07
2.52
2.37
2.49
1.66
2.77
2.89
4
2.73
1.63
2.49
2.91
2.77
1.49
2.57
2.43
2.94
1.35
2.43
2.43
2.27
1.13
2.32
2.49
8
3.27
1.32
2.48
3.04
(Xp-Xp2)2

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