ments over several years which is expensive, time consuming, and labor intensive (Maughan et al., 1996).
Molecular makers linked to quantitative trait loci (QTL) can assistComponents of yield are often identifiable which aid soybean [Glycine max (L.) Merr.] breeders to combine traits of low heritability, such as yield, with disease resistance. The objective of this the selection of yield (Fehr, 1987;Specht et al., 1999).
study was to identify markers linked to yield QTL in two recombinantIn soybeans, the basis of yield improvement is unclear, inbred line (RIL) populations ['Essex' ϫ 'Forrest' (EϫF; n ϭ 100) but maturity and growth habit have major effects (Manand 'Flyer' ϫ 'Hartwig' (FϫH; n ϭ 94)] that also segregate for soybean sur et al., 1996;Orf et al., 1999;Specht et al., 1999). cyst nematode (SCN) resistance genes (rhg1 and Rhg4 ). Each popula-Resistance to disease is usually a strong component of tion was yield tested in four environments between 1996 and 1999. yield in disease infested environments (Njiti et al., 1998). The resistant parents produced lower yields. Heritability of yield Disease resistance in cultivars (particularly SCN resisacross four environments was 47% for EϫF and 57% for FϫH. Yield tance) has consistently been associated with a 1-2% was normally distributed in both populations. High yielding, SCN decrease in yield when disease was absent (Concibido resistant transgressive segregants were not observed. In the EϫF RIL et al., 1997). In addition, many SCN resistant cultivars population, 134 microsatellite markers were compared against yield by ANOVA and MAPMAKER QTL. Regions associated with yield appear to display poor combining ability during interwere identified by SATT294 on linkage group (LG.) C1 (P ϭ 0.006, crossing (Concibido et al., 1997). Sudden death syn-R 2 ϭ 10%), SATT440 on LG. I (P ϭ 0.007, R 2 ϭ 10%), and SATT337 drome (SDS) resistance has also been associated with on LG. K (P ϭ 0.004, R 2 ϭ 10%). Essex provided the beneficial allele low yield potential (Rupe et al., 1993). at SATT337. Mean yields among FϫH RILs were compared against Genetic maps have been useful for soybean genome 33 microsatellite markers from LG. K. In addition 136 markers from analysis. Maps have allowed the identification of many randomly selected LGs were compared with extreme phenotypes by economically important soybean genes conditioning bulk segregant analysis. Two regions on LG. K (20 cM apart) associquantitative trait loci (QTL), including those for disease ated with yield were identified by SATT326 (P ϭ 0.0004, R 2 ϭ 15%)