What question did this study set out to answer?

To evaluate whether incorporating parental inbred phenotypes, dominance effects, and genotype-by-environment interactions improves genomic prediction accuracy in hybrid grain sorghum.

February 3, 2023Crop Science

Inbred phenotypic data and non‐additive effects can enhance genomic prediction models for hybrid grain sorghum

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Authors

DCDaniel CrozierTexas A&M University FLFabian LeonTexas A&M University JFJales M. O. FonsecaBayer (United States)

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Implication

Evaluation study reveals incorporating parental inbred phenotypes and environmental interactions boosts genomic prediction accuracy in hybrid grain sorghum, highlighting breeding optimization.

Key Points

To evaluate whether incorporating parental inbred phenotypes, dominance effects, and genotype-by-environment interactions improves genomic prediction accuracy in hybrid grain sorghum.
Evaluated 395 hybrid combinations generated from 92 parental inbred lines across a sparse multi-environment trial.
Profiled parental inbreds using genotyping-by-sequencing and recorded phenotypes for days to mid-anthesis, grain yield, and plant height.
Modeling genotype-by-environment interactions significantly increased prediction accuracy, whereas dominance effects did not improve overall predictive ability.
Including parental inbred phenotypes improved prediction accuracy for un-testcrossed lines by 17% for days to mid-anthesis, 14% for grain yield, and 33% for plant height.
Predictive improvements from inbred phenotypic data were less consistent when the training models already included lines evaluated in hybrid combinations.

Cite This Study

Crozier et al. (2023) studied this question.

synapsesocial.com/papers/6a9564acd33c5efb307d088f https://doi.org/10.1002/csc2.20927

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Implication

Evaluation study reveals incorporating parental inbred phenotypes and environmental interactions boosts genomic prediction accuracy in hybrid grain sorghum, highlighting breeding optimization.

Inbred phenotypic data and non‐additive effects can enhance genomic prediction models for hybrid grain sorghum

Discussion

Member takes

Implication

Key Points

Cite This Study

Inbred phenotypic data and non‐additive effects can enhance genomic prediction models for hybrid grain sorghum

Discussion

Member takes

Implication

Key Points

Cite This Study

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