Möhring, , J. and Melchinger, A.E. and Piepho, H.P. (2011) REML-Based Diallel Analysis. Crop Science, 51 (2). pp. 470-478.
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Abstract
Diallel analyses can give different results depending on the model and the experimental design. A unifi ed framework to fi t and compare different models by mixed-model packages is lacking. We, therefore, present a general diallel model and the required additional restrictions for the genetic variance–covariance structure to become equivalent to other commonly used diallel models. We discuss the defi nitions and requirements of the commonly used models compared with the general model and provide an analysis for three real datasets. If the assumptions regarding the genetic variance–covariance structure are not fulfi lled, biased variance-component estimates for general and specifi c combining ability effects are obtained when using random genetic effects. We implemented a general diallel model in the statistical software packages SAS and ASReml and give detailed program codes. If no a priori information about the genetic model for genotypes is available, the general model can be used to analyze all diallel designs easily with standard statistical software.
| Item Type: | Article |
|---|---|
| Additional Information: | We thank Sandra Fischer and Hans-Peter Maurer for providing the dataset for the third example and Jochen Reif for constructive comments during preparation of the manuscript. This research was supported within the GABI-GAIN project (grant no. FKZ 0315072 C). |
| Author Affiliation: | Institute of Crop Science, Bioinformatics Unit, Universität Hohenheim, 70599 Stuttgart, Germany |
| Subjects: | Statistics and Experimentation Crop Improvement |
| Divisions: | General |
| Depositing User: | Mr Balakrishna Garadasu |
| Date Deposited: | 19 Feb 2013 14:48 |
| Last Modified: | 19 Feb 2013 14:50 |
| Official URL: | http://dx.doi.org/10.2135/cropsci2010.05.0272 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/9617 |
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