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Genomic Prediction for Germplasm Improvement Through Inter-Heterotic-Group Line Crossing in Maize.

Dehe Cheng1, Jinlong Li1, Shuwei Guo1

  • 1State Key Laboratory of Maize Bio-Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.

International Journal of Molecular Sciences
|March 27, 2025
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Summary

This study shows inter-heterotic-group crossing effectively creates new maize heterotic groups for germplasm improvement. Genomic selection accurately predicts performance in these new populations, aiding breeding efficiency.

Keywords:
genomic selectiongermplasm improvementinter-heterotic-groupmaize

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Area of Science:

  • Plant breeding and genetics
  • Genomics and bioinformatics
  • Agricultural science

Background:

  • Maize (Zea mays L.) germplasm improvement relies heavily on intra-heterotic-group crossing.
  • Inter-heterotic-group crossing offers potential for novel germplasm but lacks systematic application.
  • Developing new heterotic groups is crucial for sustained genetic gains in maize.

Purpose of the Study:

  • To systematically develop and evaluate a connected segregating population through inter-heterotic-group line crossing (CSPIC).
  • To assess the accuracy of genomic selection (GS) for predicting traits within and across populations in CSPIC.
  • To explore the feasibility of creating new heterotic groups via inter-heterotic-group crossing for maize breeding.

Main Methods:

  • Developed a CSPIC using five inbred lines from four heterotic groups, creating 5 subpopulations with 535 doubled haploid (DH) lines and 1568 hybrids.
  • Evaluated phenotypic traits including plant height, ear height, days to anthesis, and days to silking.
  • Assessed genomic selection prediction accuracy within DH and hybrid populations, and across different cross-population scenarios.

Main Results:

  • Significant genetic variation was observed, with superior phenotypes in several DH populations.
  • 10.8% of hybrids in POP5/C229 exceeded the high-yielding check hybrid ND678.
  • Genomic selection achieved average hybrid yield prediction accuracies of 0.41 within populations and demonstrated strong cross-population prediction, correlated with shared polymorphisms.

Conclusions:

  • Inter-heterotic-group crossing is a feasible strategy for creating novel maize heterotic groups and improving germplasm.
  • Genomic selection is effective for predicting performance in new populations derived from inter-heterotic-group crosses.
  • The study provides a systematic approach and valuable insights for utilizing inter-heterotic-group crossing in maize breeding programs.