M. Bohn et al., Genetic similarities among winter wheat cultivars determined on the basis of RFLPs, AFLPs, and SSRs and their use for predicting progeny variance, CROP SCI, 39(1), 1999, pp. 228-237
The efficiency of breeding programs could be increased by predicting the pr
ospects of crosses for line development before producing and testing lints
derived from them. In this study, we (i) assessed the level of genetic dive
rsity among German and Austrian winter wheat (Triticum aestivum L.) cultiva
rs using 117 restriction fragment length polymorphism (RFLP) probes, 16 amp
lified fragment length polymorphism (AFLP) primer combinations, and 21 simp
le sequence repeat (SSR) primer pairs, (ii) investigated the correlation be
tween coancestry (f) and genetic similarity (GS) estimated from molecular m
arkers, and (iii) evaluated the use of f and GS for predicting the genetic
variance (sigma(g)(2)) within sets of 22 F-4cn (n = 7 or 8) lines derived f
rom 30 crosses between these winter wheat cultivars. The average polymorphi
c information content (PIC) for polymorphic bands was not significantly dif
ferent between the three marker systems (0.30 less than or equal to PIC les
s than or equal to 0.33), whereas the marker index was low for RFLPs and SS
Rs but high for AFLPs. Estimates off between all 55 cultivar combinations r
anged from 0.01 to 0.53. <(GS)over cap>-values varied between 0.52 and 0.89
for RFLPs. between 0.40 and 0.83 for AFLPs. and between 0.16 and 0.91 for
SSRs, The Mantel Z test statistic revealed no common pattern between the fo
ur dendrograms obtained by cluster analyses. Significant (P < 0.05) correla
tions among (f) over cap, <(GS)over cap>-RFLP, <(GS)over cap>-AFLP, and <(G
S)over cap>-SSR were detected only for related parent combinations ((f) ove
r cap greater than or equal to 0.10), For all seven traits analyzed, estima
tes of sigma(g)(2) were not significantly associated with any measure of GS
between parents. On the basis of these results, we recommend AFLPs for fin
gerprinting wheat cultivars. However, predicting the progeny variance sigma
(g)(2) remains an unsolved problem.