Estimation of realized rates of genetic gain and indicators for breeding program assessment

Research output: Contribution to journalArticle

Abstract

Routine estimation of the rate of genetic gain (ΔGt) realized by a breeding program has been proposed as a means to monitor its effectiveness. Several methods of realized ΔGt estimation have been used in other studies, but none have been objectively evaluated in a plant breeding context. Stochastic simulations of 80 rice (Oryza sativa L.) breeding programs over 28 yr were done to generate data used to evaluate five methods of realized ΔGt estimation in terms of error, precision, efficiency, and correlation between true and predicted annual mean breeding values. Two indicators of ΔGt, the expected ΔGt, and the average number of equivalent complete generations (EqCg), were described and evaluated. At best, estimates of realized ΔGt were over or underestimated by 15 and 27% when considering all 28 yr and the past 15 yr of breeding, respectively. The best methods were the estimated breeding value, control population, and era trial methods. Among these, correlations between true and estimated ΔGt were at best 0.59, indicating that these methods cannot very accurately rank breeding programs in terms of realized ΔGt. The expected ΔGt and the average EqCg were shown to be useful indicators for determining if a nonzero genetic gain is expected. Determining which of the three best realized ΔGt estimation methods evaluated, if any, would be appropriate for any given breeding program should be done with careful consideration of the objectives, resources, seed stocks, and structure of the data available.

Original languageEnglish (US)
Pages (from-to)981-993
Number of pages13
JournalCrop Science
Volume59
Issue number3
DOIs
StatePublished - May 1 2019

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genetic improvement
breeding
breeding value
methodology
plant breeding
Oryza sativa
rice
monitoring
seeds

ASJC Scopus subject areas

  • Agronomy and Crop Science

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Estimation of realized rates of genetic gain and indicators for breeding program assessment. / Rutkoski, Jessica.

In: Crop Science, Vol. 59, No. 3, 01.05.2019, p. 981-993.

Research output: Contribution to journalArticle

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