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

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.

Authors

Institutions

Publication Details

Journal
Journal of Experimental Botany
Published
2024-11-27
DOI
https://doi.org/10.1093/jxb/erae487
Citations
3
Primary Topic
Genetic and Environmental Crop Studies
Type
article
Field-Weighted Citation Impact
1.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Raúl Ortega, Julie E. Hayes, Víctor O. Sadras, James L. Weller et al.
3 citations
Journal of Experimental Botany
Genetic and Environmental Crop Studies
1.80
article

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

Raúl Ortega, Julie E. Hayes, Víctor O. Sadras, James L. Weller, Lachlan Lake, M. Fernanda Dreccer, C. Mariano Cossani, Rafael Giménez, R. French
article en
3 citations

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.

Journal of Experimental BotanyVol. 76(6)
University of Tasmania (AU), Flinders University (AU), South Australian Research and Development Institute (AU), Health Sciences and Nutrition (AU), Department of Primary Industries and Regional Development (AU), Centro Científico Tecnológico - San Luis (AR), Centro Científico Tecnológico - Tucumán (AR), The University of Adelaide (AU)
Grains Research and Development Corporation, Agriculture Victoria, Department of Primary Industries and Regional Development, Government of Western Australia
Zero hunger
Openalex Percentile: Top 12%
Genetic and Environmental Crop Studies
1.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.