Shieh, G.J. and Thseng, F.S. (2002) Genetic diversity of Tainan-white maize inbred lines and prediction of single cross hybrid performance using RAPD markers. Euphytica, 124 (3). pp. 307-313.
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Abstract
To evaluate the genetic diversity of 13 maize inbred lines, and to determine the correlation between genetic distance and single cross hybrid performance, we employed the randomly amplified polymorphic DNA (RAPD)- a PCR-based technique. Six of these lines came from the Taichung population (A1, A2, A3, A5, A6 and A9), and others derived from seven different sites (Tainan, Yunlin, Taoyuan, Taitung, Changhua, Pingtung and Hualien) in China. Forty different primers were used to give a total of 646 reproducible amplification products, 547 (84.7%) of them being polymorphic. Genetic divergence was determined using Jaccard's similarity coefficient, and a final dendrogram was constructed by UPGMA (unweighted pair-group method with arithmetical averages) cluster analysis in the CLUSTER procedure of the SAS system. The RAPD analysis was a useful tool in determining the extent of genetic diversity among Tainan-white maize inbred lines in the present case. Cluster analysis showed that the 13 inbred lines could be classified into distinct heterotic groups. There was no significant linear regression of grain dry weight heterosis value and mean performance of hybrids on genetic distance. Their coefficients of determination (R2) are small, thus, predictive value is limited. The present results showed that the Jaccard's similarity coefficients based on RAPD data cannot be used to precisely predict the F1 hybrids yield performance and heterosis value
Item Type: | Article |
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Author Affiliation: | Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan |
Subjects: | Crop Improvement > Genetics/Genomics Crop Improvement > Plant Breeding |
Divisions: | Maize |
Depositing User: | Mr B Krishnamurthy |
Date Deposited: | 20 Apr 2011 04:47 |
Last Modified: | 20 Apr 2011 04:47 |
Official URL: | http://dx.doi.org/10.1023/A:1015753820623 |
URI: | http://eprints.icrisat.ac.in/id/eprint/1845 |
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