Accurate determination of kiwifruit maturity in the first half of the harvest window is crucial in predicting storage risk, since early-harvested fruit are more susceptible to disorders and rots during extended cold storage. Maturity estimations are usually based on soluble solids content (SSC), but SSC alone is unreliable at early harvest times, necessitating the need for more precise markers. To address this, we performed multi-omics on harvested, yellow-fleshed kiwifruit at four chronological ages based on days after anthesis, namely early harvest (H1), early-mid (H2), late-mid (H3) and late harvest (H4), across two seasons from the same orchard. Analysis of phenotype, transcriptome, metabolome, proteome, hormone concentrations and enzyme activity profiles identified discriminating features within the datasets that separated harvest times, particularly in the first half of the harvest window. Strong seasonal variability was observed. The most reliable variates for maturity estimation were found in the transcriptome, and two transcripts with sharply decreasing abundance during early harvest (Aquaporin TIP4-1 and MYB10) and three transcripts with sharply increasing abundance during later harvest (β-Amylase 3.2, Pectinesterase inhibitor protein and α-Terpineol synthase) with relative seasonal stability were identified. In a different season we used these five potential biomarkers in combination with SSC as a predictive tool. This allowed precise assessment of the maturity stage of fruit in the first half of the harvest window from 12 orchards in four geographical regions, and accurate prediction of their storage outcome.
Read full abstract