Linking phenology, harvest index, and genetics to improve chickpea grain yield

Raul Gimenez, Lachlan Lake, Cesar Mariano Cossani, Raul Ortega Martinez, Julie E. Hayes, Maria Fernanda Dreccer, Robert French, James L. Weller, Victor O. Sadras

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

Understanding phenology and its regulation is central for the agronomic adaptation of chickpea. We grew 24 chickpea (Cicer arietinum) genotypes in 12 environments to analyse the environmental and genotypic drivers of phenology, associations between phenology and yield, and phenotypes associated with allelic variants of three flowering related candidate loci: CaELF3a, a cluster of three FT genes on chromosome 3, and an orthologue of the floral promoter GIGANTEA on chromosome 4. A simple model with three genotype-specific parameters explained the differences in flowering response to daylength. Environmental factors causing flower abortion, such as low temperature and radiation and high humidity, led to a longer flowering-to-podding interval. Late podding associated with poor partition to grain, limiting yield in favourable environments. The genotype Sonali, carrying the early allele of Caelf3a (elf3a), was generally the earliest to set pod and had low biomass but the highest harvest index. Genotypes combining the early variants of GIGANTEA and FT orthologues featured early reproduction and high harvest index, returning high yield in favourable environments. Our results emphasize the importance of pod set, rather than flowering, as a target for breeding, agronomic, and modelling applications.

Original languageEnglish
Pages (from-to)1658-1677
Number of pages20
JournalJournal of Experimental Botany
Volume76
Issue number6
DOIs
Publication statusPublished - 9 Apr 2025

Keywords

  • Daylength response
  • flower abortion
  • flowering
  • flowering genes
  • harvest index
  • pod set
  • simulation models

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