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Principles of Plant Genetics and Breeding

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112 CHAPTER 7<br />

<strong>of</strong> genes as 1 : n : n–1 <strong>of</strong> free : heterozygotic potential :<br />

homozygotic potential.<br />

Another level <strong>of</strong> complexity may be factored in by<br />

considering dominance <strong>and</strong> non-allelic interactions<br />

(AA = Aa = BB = Bb). If this is so, the nine genotypes<br />

previously observed will produce only three phenotypic<br />

classes ([AABB, 4AaBb, 2AaBB, 2AABb] + [2Aabb,<br />

2aaBb, AAbb, aaBB] + [aabb], in a frequency <strong>of</strong> 9 : 6 :<br />

1. A key difference is that 50% <strong>of</strong> the visible variability is<br />

now in the heterozygous potential state that cannot be<br />

fixed by selection. The heterozygotes now contribute to<br />

the visible variability instead <strong>of</strong> the cryptic variability.<br />

From the plant breeding st<strong>and</strong>point, its effect is to<br />

reduce the rate <strong>of</strong> response to phenotypic selection at<br />

least in the same direction as the dominance effect. This<br />

is because the fixable homozygotes are indistinguishable<br />

from the heterozygotes without a further breeding test<br />

(e.g., progeny row). Also, the classifications are skewed<br />

(9 : 6 : 1) in the positive (or negative) direction.<br />

Key plant breeding information to be gained from the<br />

above discussion is that in outbreeding populations,<br />

polygenic systems are capable <strong>of</strong> storing large amounts<br />

<strong>of</strong> cryptic variability. This can be gradually released for<br />

selection to act on through crossing, segregation, <strong>and</strong><br />

recombination. The flow <strong>of</strong> this cryptic variability to the<br />

free state depends on the rate <strong>of</strong> recombination (which<br />

also depends on the linkage <strong>of</strong> genes on the chromosomes<br />

<strong>and</strong> the breeding system).<br />

Given a recombination value <strong>of</strong> r between two linked<br />

genes, the segregation in the second generation<br />

depends on the initial cross, as M. D. Haywood <strong>and</strong><br />

E. L. Breese demonstrated:<br />

Initial cross Free Homozygous potential<br />

AABB × aabb 1(1 − r) 2r<br />

AAbb × aaBB 2r 2(r − 1)<br />

The second cross shows genes linked in the repulsion<br />

phase. The flow <strong>of</strong> variability from the homozygous<br />

potential to the free state depends on how tight a linkage<br />

exists between the genes. It will be at its maximum<br />

when r = 0.5 <strong>and</strong> recombination is free, <strong>and</strong> will diminish<br />

with diminishing r. This illustration shows that with<br />

more than two closely linked loci on the same chromosome,<br />

the flow <strong>of</strong> variability would be greatly restricted.<br />

In species where selfing is the norm (or when a breeder<br />

enforces complete inbreeding), the proportion <strong>of</strong> heterozygotes<br />

will be reduced by 50% in each generation,<br />

dwindling to near zero by the eighth or ninth generation.<br />

The open system <strong>of</strong> pollination in cross-pollinated<br />

species allows each plant in the gene pool to have both<br />

homozygous <strong>and</strong> heterozygous loci. <strong>Plant</strong> breeders exploit<br />

this heterozygous genetic structure <strong>of</strong> individuals<br />

in population improvement programs. In a natural<br />

environment, the four factors <strong>of</strong> genetic change mentioned<br />

previously are operational. Fitness or adaptive<br />

genes will be favored over non-adaptive ones. <strong>Plant</strong><br />

breeders impose additional selection pressure to hasten<br />

the shift in the population genetic structure toward<br />

adaptiveness as well as to increase the frequencies <strong>of</strong><br />

other desirable genes.<br />

An example <strong>of</strong> a breeding application <strong>of</strong><br />

Hardy–Weinberg equilibrium<br />

In disease-resistance breeding, plant breeders cross<br />

an elite susceptible cultivar with one that has disease<br />

resistance. Consider a cross between two populations,<br />

susceptible × resistant. If the gene frequencies <strong>of</strong> an<br />

allele A in the two populations are represented by P1 <strong>and</strong><br />

P2 , the gene frequency in the F1 = (P1 + P2 )/2 = p.<br />

Assuming the frequency <strong>of</strong> the resistance gene in the<br />

resistant cultivar is P1 = 0.7 <strong>and</strong> that in the susceptible<br />

elite cultivar it is P2 = 0.05, the gene frequency in the<br />

progeny <strong>of</strong> the cross p would be obtained as follows:<br />

p = (P 1 + P 2 )/2 = (0.7 + 0.05)/2 = 0.375<br />

Consequently, the gene frequency for the resistant trait<br />

is reduced by about 50% (from 0.7 to 0.375).<br />

Issues arising from Hardy–Weinberg<br />

equilibrium<br />

In order for Hardy–Weinberg equilibrium to be true,<br />

several conditions must be met. However, some situations<br />

provide approximate conditions to satisfy the<br />

requirements.<br />

The issue <strong>of</strong> population size<br />

The Hardy–Weinberg equilibrium requires a large r<strong>and</strong>om<br />

mating population (among other factors as previously<br />

indicated) to be true. However, in practice, the<br />

law has been found to be approximately true for most <strong>of</strong><br />

the genes in most cross-pollinated species, except when<br />

non-r<strong>and</strong>om mating (e.g., inbreeding <strong>and</strong> assortative<br />

mating, discussed below on p. 116) occur. Whereas<br />

inbreeding is a natural feature <strong>of</strong> self-pollinated species,<br />

assortative mating can occur when cross-pollinated<br />

species are closely spaced in the field.

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