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Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Phenomic Selection for Hybrid Rapeseed Breeding.

Lennard Roscher-Ehrig1, Sven E Weber1, Amine Abbadi2

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This summary is machine-generated.

Phenomic selection using spectral data from parental lines effectively predicts hybrid rapeseed traits. This approach is competitive with genomic selection and easily integrated into breeding programs.

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Spectroscopy

Background:

  • Genomic selection (GS) is a standard tool in plant breeding.
  • Phenomic selection (PS) offers a low-cost, high-throughput alternative using spectral data.
  • The efficacy of PS for predicting traits in hybrid generations using parental data is largely unexplored.

Purpose of the Study:

  • To evaluate the potential of phenomic selection for hybrid rapeseed breeding.
  • To assess if spectral data from parental genotypes can predict traits in hybrid offspring.
  • To compare PS with GS in the context of hybrid breeding.

Main Methods:

  • Near-infrared spectroscopy (NIRS) data were collected from parental lines and 410 test hybrids.
  • Spectral data were used with linear and nonlinear models to predict traits like seed yield and plant height.
  • Predictions were made within the hybrid generation and across generations (parental to hybrid).

Main Results:

  • Phenomic selection within the hybrid generation surpassed genomic selection for seed yield and plant height.
  • PS performance was robust even with spectral data from single locations and less influenced by population structure.
  • Phenomic prediction across generations proved feasible, with parental spectral data offering competitive prediction accuracy against GS.

Conclusions:

  • Phenomic selection is a viable and promising strategy for hybrid rapeseed breeding.
  • Utilizing spectral data from parental lines for phenomic prediction in hybrids is effective and competitive with genomic selection.
  • PS, leveraging routinely collected NIRS data, can be seamlessly integrated into rapeseed breeding programs without additional costs.