XXIIIrd International Eucarpia symposium, Section Ornamentals ...

P17
Fangyun Cheng (1)
Dong Zhang (1)
Shiliang Zhou (2)
(1) College of Landscape
Architecture, Beijing
Forestry University, Beijing
100083, China
(2) Laboratory of
Systematic and
Evolutionary Botany, the
Chinese Academy of
Science, Beijing 100093,
China
chengfy8@263.net
CROSSES FOR THE ADVANCED
GENERATION OF TREE PEONIES AND
HYBRID IDENTIFICATION BY AFLP MARKERS
Reciprocal crosses between Paeonia rockii hybrids (RH), P. ostii ‘Feng Dan Bai’ (FDB)
and P. ×lemoine ‘High Noon’ (HN) were made in 2006 and 2007 for breeding advanced
generation tree peonies. The results from 25cross-combinations and 434 pollinated
flowers showed that both RH×HN and FDB×HN were fertile with respectively 12.17and
4.45 seeds harvested in each flower averagely, but their reversed crosses were almost
infertile completely, indicating that HN could should be very promising as pollen supplier
in cross-breeding for the advanced generation of tree peonies. And 22 samples selected
at random from the seedlings of 7 cross combinations of RH×HN were identified by
AFLP makers to confirm the significance of this technique in early identification of the
hybrids. Totally 1141 bands including 1051 polymorphic ones (92.7%) were amplified by
9 pair primers. The data of AFLP markers showed that the F 1 seedlings possessed some
bands detected in both of the parents together, some specific to the maternal or paternal
parents, but fewer bands didn’t exist completely in the parents. Combined with UPGMA
analysis, these results suggested that the seedlings should be true hybrids, most of
which were more relative to the maternal parent than to the paternal one with the novel
variation happened in a few cases, and AFLP makers were effective in early
identification of tree peony hybrids. Therefore, based on a higher seed setting as cross
compatibility and the most of F1 seedlings were identified as true hybrids by AFLP
makers, the cross RH×HN were recommended as a promising combination for the
breeding advanced generation.
90 Session Posters