The use of constrained selection indexes in breeding for economic merit
โ Scribed by J. P. Gibson; B. W. Kennedy
- Publisher
- Springer
- Year
- 1990
- Tongue
- English
- Weight
- 535 KB
- Volume
- 80
- Category
- Article
- ISSN
- 0040-5752
No coin nor oath required. For personal study only.
โฆ Synopsis
Various methods exist for the derivation of restricted and/or desired gains selection indexes, and their use in applied breeding has been advocated. It is shown that there exists a set of implied linear economic weights for all constrained indexes and their derivation is given. Where economic weights are linear and known, a standard selection index is, by definition, optimal and thus a constrained index will usually be suboptimal. It is argued that economic weights can always be estimated and that the effects of uncertain weights can be examined by sensitivity analysis. If economic weights are nonlinear, use of the first order (linear) economic weights or a derived linear index, using previously described methods, will give very close to optimum economic selection responses. Examples from the literature indicate that severe losses of potential economic gain can possibly occur through use of a constrained index. It is concluded that constrained indexes should be avoided for economic genetic selection.
๐ SIMILAR VOLUMES
Selection indices can be used to predict one trait from information available on several traits in order to improve the prediction accuracy. Plant or animal breeders are interested in selecting only the best individuals, and need to compare the efficiency of different trait combinations in order to
A system, using computers, that minimizes many of the clerical tasks associated with plant breeding trials is described. Their mode of operation and output lists are briefly given. The major computer programs used in the system are available from the authors.