Pathway analyses in wheat genotypes under waterlogging stress

Authors

  • Sydney Antonio Frehner Kavalco Universidade Federal de Pelotas
  • Ricardo Figueiredo Universidade Federal de Pelotas
  • Eder Licieri Groli Universidade Federal de Pelotas
  • Cristiano Mathias Zimmer Universidade Federal de Pelotas
  • Diego Baretta Universidade Federal de Pelotas
  • Elisane Weber Tessmann Universidade Federal de Pelotas
  • Ariano Martins de Magalhães Júnior Embrapa Clima Temperado
  • Antonio Costa de Oliveira Universidade Federal de Pelotas

DOI:

https://doi.org/10.5433/1679-0359.2014v35n4p1683

Keywords:

Triticum aestivum L., Indirect selection, Plant breeding, Characters correlation.

Abstract

Indirect selection can be considered an interesting strategy for plant breeding, especially when an easily measurable/high heritability trait is highly correlated with a target trait which has a lower heritability in segregating populations. The objective of this study was to obtain estimates of phenotypic, genotypic and environmental correlations and to evaluate the partition of genotypic correlations in direct and indirect effects of agronomic variables on the GY variable, through the analysis of two cultivated environments in fifteen wheat segregating populations. The agronomic traits grain yield per plant (GY), number of grains per ear (NGE), grain weight per ear (GWE), thousand grain weight (TGW), number of fertile tillers (NFT), days from emergence to flowering (DEF), days from flowering to maturity (DFM), total development cycle (CYC), and percentage of lodging (LODG), were evaluated in F4 populations under two cropping systems (with and without flooding). In all populations, by means of simple correlations, the selection of more productive plants can be accomplished by indirect selection for NGE, GWE and NFT. Through path analysis, it was possible to identify an indirect effect on GY by NGE. Also, the effect of GWE, NFT, CYC and DEF on the correlation between other characters (NGE x GY, GY x WTG, DFM x GY, GY x CYC and GY x LODG), emphasizing that the NGE, GWE, NFT, DEF and CYC are the main characters to consider for increasing grain yield in wheat.

Author Biographies

Sydney Antonio Frehner Kavalco, Universidade Federal de Pelotas

Discente do Curso de Doutorado e M.e em Biotecnologia- CDTEC, Universidade Federal de Pelotas, UFPel, Pelotas, RS. Bolsista da CAPES.

Ricardo Figueiredo, Universidade Federal de Pelotas

Discente do Curso Graduação em Agronomia, UFPel, Pelotas, RS.

Eder Licieri Groli, Universidade Federal de Pelotas

Discente do Curso Graduação em Agronomia, UFPel, Pelotas, RS.

Cristiano Mathias Zimmer, Universidade Federal de Pelotas

Discente do Curso Graduação em Agronomia, UFPel, Pelotas, RS.

Diego Baretta, Universidade Federal de Pelotas

Discente do Curso de Mestrado em Agronomia, Área de Concentração Fitomelhoramento, UFPel, Pelotas RS.

Elisane Weber Tessmann, Universidade Federal de Pelotas

Discente do Curso de Mestrado em Agronomia, Área de Concentração Fitomelhoramento, UFPel, Pelotas RS.

Ariano Martins de Magalhães Júnior, Embrapa Clima Temperado

Pesquisador da Embrapa Clima Temperado, Estação Experimental Terras Baixas. Empresa Brasileira de Pesquisa Agropecuária EMBRAPA, Pelotas, RS.

Antonio Costa de Oliveira, Universidade Federal de Pelotas

Prof. Associado do Deptº de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, UFPel. Pelotas, RS.

Published

2014-08-27

How to Cite

Kavalco, S. A. F., Figueiredo, R., Groli, E. L., Zimmer, C. M., Baretta, D., Tessmann, E. W., … Oliveira, A. C. de. (2014). Pathway analyses in wheat genotypes under waterlogging stress. Semina: Ciências Agrárias, 35(4), 1683–1696. https://doi.org/10.5433/1679-0359.2014v35n4p1683

Issue

Section

Articles

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.