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Cossani, C. M.

Publications and source records attributed to Cossani, C. M..

2 recordsLinked to original sources

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

Phenology is critical to crop adaptation. We grew 24 chickpea 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 a region on chromosome 4 with an orthologue of the floral promoter GIGANTEA. A simple model with 3 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. Sonali, carrying the early allele of Caelf3a (elf3a), was generally the earliest to set pod, had low biomass but the highest harvest index. Genotypes combining the early variants of GIGANTEA and FT orthologues FTdel, where a deletion in the intergenic region of FTa1-FTa2 was associated with slow development, usually featured early reproduction and high harvest index, returning high yield in favourable environments. We emphasise the importance of pod set, rather than flowering, as a target for breeding, agronomic, and modelling applications. HighlightThis paper analyses the environmental and genetic controls of chickpea phenology and its effects on grain yield, in a multi-environment trial including 24 genotypes with varying combinations of flowering related genes.

plant biology↗

Carbon isotope composition for agronomic diagnostic: predicting yield and yield response to nitrogen in wheat

Rainfed crops rely on two sources of water: stored soil water at sowing and seasonal rain. In strongly seasonal winter-rainfall environments, stored soil water at sowing is minor, and uncertain seasonal rainfall is a source of risk. In south-eastern Australia, under-fertilisation is a common outcome of nitrogen risk management with implications for yield and soil mining. Here we explore the use of carbon isotope composition ({delta} 13C) to capture the effects of water in the prediction of yield and guide nitrogen management. In the sampled environment, crops receive at least 50% of seasonal rainfall by stem elongation, and at least 70% of seasonal rainfall by flowering. In a sample of 1518 plots, yield varied from 0.07 to 9.96 t ha-1 and correlated with {delta} 13C measured with isotope ratio mass spectrometer (IRMS) at flowering; this is consistent with the rainfall pattern and the physiology of the crop featuring a critical period for yield from 300 {degrees}Cd before to 100 {degrees}Cd after anthesis. In a sample of 135 plots, yield varied from 1.2 to 8.4 t ha-1 and correlated with {delta} 13C measured with IRMS at stem elongation. Yield response to nitrogen, defined as the difference between yield in fertilised crops (50 to 200 kg N ha-1) and unfertilised controls, correlated with {delta} 13C measured with IRMS at stem elongation, except for late-sown crops. Mid-infrared spectroscopy (MIR) returned estimates of {delta} 13C that agreed with {delta} 13C measured with IRMS (calibration: R2 = 0.82, RMSE = 0.53{per thousand}, n = 833; validation: R2 = 0.70, RMSE = 0.75{per thousand}, n = 364). We conclude that a MIR based, high-throughput, affordable measurement of {delta} 13C could be scaled to guide nitrogen management of wheat in winter-rainfall environments.

plant biology↗