Reliability and Usefulness of Seedling Plant Data in Cassava Breeding

Area of Science:

• Plant breeding
• Genetics
• Agricultural science

Background:

• Cassava breeding traditionally requires extensive multi-year field evaluations.
• Genomic selection uses genotypically estimated breeding values (GEBVs) to shorten breeding cycles.
• Current seedling evaluation trials (SETs) involve intense visual selection without data collection, missing opportunities to study inheritance.

Purpose of the Study:

• To investigate the utility of SET data for estimating breeding values and understanding trait inheritance in cassava.
• To explore the complementarity of phenotypically estimated breeding values (PEBVs) from SET data and GEBVs.

Main Methods:

• Collected and analyzed three years of field evaluation data from cassava seedling evaluation trials (SETs).
• Assessed the performance of selected genotypes in subsequent single row trials (SRTs).
• Estimated phenotypically estimated breeding values (PEBVs) for progenitors using SET data.

Main Results:

• SET data provides valuable insights into trait dominance and can be used to estimate PEBVs.
• PEBVs derived from SET data can serve a similar purpose to GEBVs in breeding strategies.
• The study demonstrates the potential for integrating SET data into cassava breeding programs.

Conclusions:

• Seedling evaluation trials (SETs) offer a valuable, underutilized data source in cassava breeding.
• Utilizing SET data for PEBV estimation can complement genomic selection and accelerate breeding progress.
• This approach enhances the understanding of cassava trait inheritance and improves selection efficiency.