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Selection Index Possibilities, Pitfalls, and Potential Changes

Selection Index Possibilities, Pitfalls, and Potential Changes. Michael MacNeil, PhD Delta G Miles City, Montana. Selection Index. Decompose problem into two parts: prediction of EPD and estimation of economic values Where, Assuming,. Selection Index. Where, Analytical direct solution

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Selection Index Possibilities, Pitfalls, and Potential Changes

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  1. Selection IndexPossibilities, Pitfalls, and Potential Changes Michael MacNeil, PhD Delta G Miles City, Montana

  2. Selection Index • Decompose problem into two parts: prediction of EPD and estimation of economic values • Where, • Assuming,

  3. Selection Index • Where, • Analytical direct solution • Approximation by method of finite differences • Linear programming • Assuming,

  4. Selection Index • Where, • Assuming,

  5. Possibilities • Use genetic selection to improve economic merit • Maximize present value of genetic improvement • Consistent implementation of selection criteria • Use complete set of economically relevant traits

  6. Pitfalls • Temptation to think selection can overcome advantages of heterosis • Incomplete indexes • Ignore genetic antagonisms • Fail to address full production cycle • Don’t give some traits the attention they are due • Poor estimates of genetic parameters •  poor estimates of EPD

  7. Potential Changes • Incorporate additional traits • Update genetic evaluation systems • Improved estimates of variance components • More appropriate models • Make indexes more complete • Make genetic evaluation of ERT more accurate • Incorporate genomic predictors / better relationships • Enhance econometrics • Increase ease of developing customized indexes

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