Skip to main content
Log in

Prediction of Genetic Gain in Sweet Corn using Selection Indexes

  • Research Article
  • Published:
Journal of Crop Science and Biotechnology Aims and scope Submit manuscript

Abstract

The cultivation of sweet corn is expanding in Brazil, but there are serious constraints about the availability of commercial cultivars. The selection of superior sweet corn genotypes can be performed based on selection indexes based on plant agronomic characteristics. Thus, the objective of this work was to compare selection indexes to select sweet corn genotypes aiming greater productions. The experiment was conducted at the Vegetable Experimental Station of the Federal University of Uberlândia, Campus Monte Carmelo. Eighteen sweet corn accessions (F3 generation) were evaluated. The selection indexes applied to the agronomic characteristics of sweet corn were: direct and indirect, the sum of ranks, desired gains and ideotype indexes. The characteristics evaluated presented significant differences among genotypes, except for stem diameter, prolificacy and grain number per corncob. The coefficients of variation were below 30%, and the genetic parameters were satisfactory for most of the characteristics. The greatest gains with direct selection were in production (21.23%) and productivity of commercial sweet corn ear (15.19%), however, the indirect gains are unsatisfactory for sweet corn selection, and the sum of ranks index provided a balanced distribution of gains. The sweet corn genotypes L2P11, L2P37, P45, L2L5P3, and L5P18 presented a superior performance for the set of characters evaluated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

Download references

Acknowledgements

To the Coordination of Superior Level Staff Improvement (CAPES) for the scholarship granted.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ernane Miranda Lemes.

Additional information

Conflicts of interest

The authors declare that there is no conflict of interest in this study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

da Silva, I.G., Castoldi, R., de Oliveira Charlo, H.C. et al. Prediction of Genetic Gain in Sweet Corn using Selection Indexes. J. Crop Sci. Biotechnol. 23, 191–196 (2020). https://doi.org/10.1007/s12892-019-0334-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12892-019-0334-0

Key words

Navigation