### Abstract

Routine estimation of the rate of genetic gain (ΔG_{t}) realized by a breeding program has been proposed as a means to monitor its effectiveness. Several methods of realized ΔG_{t} 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 ΔG_{t} estimation in terms of error, precision, efficiency, and correlation between true and predicted annual mean breeding values. Two indicators of ΔG_{t}, the expected ΔG_{t}, and the average number of equivalent complete generations (EqCg), were described and evaluated. At best, estimates of realized ΔG_{t} 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 ΔG_{t} were at best 0.59, indicating that these methods cannot very accurately rank breeding programs in terms of realized ΔG_{t}. The expected ΔG_{t} 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 ΔG_{t} 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 language | English (US) |
---|---|

Pages (from-to) | 981-993 |

Number of pages | 13 |

Journal | Crop Science |

Volume | 59 |

Issue number | 3 |

DOIs | |

State | Published - May 1 2019 |

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### ASJC Scopus subject areas

- Agronomy and Crop Science

### Cite this

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

Research output: Contribution to journal › Article

*Crop Science*, vol. 59, no. 3, pp. 981-993. https://doi.org/10.2135/cropsci2018.09.0537

}

TY - JOUR

T1 - Estimation of realized rates of genetic gain and indicators for breeding program assessment

AU - Rutkoski, Jessica

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85067955197&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067955197&partnerID=8YFLogxK

U2 - 10.2135/cropsci2018.09.0537

DO - 10.2135/cropsci2018.09.0537

M3 - Article

AN - SCOPUS:85067955197

VL - 59

SP - 981

EP - 993

JO - Crop Science

JF - Crop Science

SN - 0011-183X

IS - 3

ER -