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186 Biotechnological Approaches for Pest Management and Ecological Sustainability<br />

markers typically behave in a dominant or recessive manner and do not detect heterozygotes<br />

(Staub, Serquen, and Gupta, 1996). Molecular markers are:<br />

• Unaffected by the environment;<br />

• Phenotype neutral; and<br />

• Detectable at all stages of plant growth.<br />

Marker-assisted selection can be used to accelerate the pace and accuracy of transferring<br />

resistance genes into improved cultivars. The MAS takes three to six years, thus speeding<br />

up the pace of transferring the traits of interest into the improved varieties, and it does not<br />

require large-scale planting of the segregating progenies up to crop harvest, as only the<br />

plants with marker allele indicating the presence of the trait or QTL need to be maintained<br />

up to maturity. Narvel et al. (2001) used microsatellite markers to identify soybean QTLs<br />

for resistance to foliar feeding lepidopteran insects, to determine the degree to which different<br />

QTLs have been transferred into soybean cultivars over a 30-year period. Very few<br />

resistant genotypes possessed multiple QTLs from different soybean linkage groups, and<br />

MAS was suggested as a means of introgressing minor genes linked to soybean resistance<br />

to insects into elite soybean cultivars. MAS in barley for resistance to cereal cyst nematode,<br />

Heterodera avenae Woll. could be accomplished approximately 30 times faster and for 75%<br />

lower cost compared to phenotypic selection (Kretschmer et al., 1997). Similar cost and<br />

labor savings have also been documented for microsatellite markers linked to cyst nematode,<br />

Heterodera glycines Ichinohe resistance in soybean (Mudge et al., 1997).<br />

In contrast to the markers linked to resistance genes inherited as simple dominant traits,<br />

the improvement of polygenic traits (QTLs) through MAS is diffi cult due to involvement of<br />

a number of genes, and their interactions (epistatic effects). Resolving these problems often<br />

involves multiple fi eld tests across several environments. However, such experiments often<br />

display signifi cant QTL-environment interactions. Several studies on QTLs linked to stem<br />

borer resistance in maize underscore the problems involved in using QTLs in MAS. The<br />

relative effi ciency of phenotypic and MAS has been found to be similar (Groh et al., 1998a,<br />

1998b; Willcox et al., 2002). However, phenotypic selection was more favorable due to lower<br />

costs. MAS and phenotypic selection for leaf feeding resistance to D. grandiosella and<br />

D. saccharalis improved the effi ciency of selection by 4%, indicating that MAS is less<br />

effi cient than phenotypic evaluation (Bohn et al., 2001). Maximum progress has been made<br />

in breeding for insect resistance in common bean by using a combination of phenotypic<br />

performance and QTL-based index, followed by QTL based index, and conventional selection<br />

(Tar’an et al., 2003). Although the cost of MAS is approximately 90% less than the cost<br />

of conventional selection, accurate identifi cation of QTL position and the cost to generate<br />

initial data for use in MAS make conventional selection more cost effective. However,<br />

marker-assisted selection of large DNA segments can still be highly effective. Stromberg,<br />

Dudley, and Rufener, (1994) did not get a better response to MAS than to conventional<br />

selection for resistance to southwestern corn borer, D. grandiosella. Three putative QTLs<br />

accounted for 28% of the phenotypic variance, and no signifi cant differences were observed<br />

for leaf damage ratings or larval weights between lines selected by the two methods.<br />

The use of DNA-based markers for indirect selection offers the greatest potential gains<br />

for quantitative traits with low heritability, as these are the most diffi cult characters to<br />

work with through conventional phenotypic selection. However, it is also diffi cult to<br />

develop effective markers for such traits. The expression of such traits is infl uenced by<br />

genotype-environment interaction and epistasis, which in addition to diffi culties involved

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