The review, led by Jingsong Guo and colleagues at institutions including Guangdong Ocean University, takes an unusual approach for a fruit crop. Rather than cataloguing jackfruit’s nutritional composition or processing technologies, as previous reviews have done, it asks a deceptively simple question: when does genetic variation actually become a measurable fruit trait, and when has that trait been proven to matter in a finished product? To answer it, the team searched the Web of Science Core Collection in August 2026 using four complementary modules covering genetic diversity, genotype-associated quality variation, molecular mechanisms, and postharvest behaviour. The searches returned 347 raw hits, which collapsed to 292 unique records; a retrospective audit classified 185 as broadly relevant, and 47 of those underwent detailed extraction, ultimately yielding a cited evidence base of 48 sources.

What that evidence base reveals is a field with abundant raw material but weak connective tissue. Jackfruit germplasm studies report enormous variation in fruit mass, edible recovery, soluble solids, acidity, firmness, pulp colour, aroma and bioactive compounds. Molecular surveys using AFLP and SSR markers, and more recently chromosome-scale genome assemblies and dense SNP datasets, confirm substantial genetic differentiation. A landmark study combined a reference genome with resequencing of 295 Chinese landraces and identified candidate genomic regions associated with domestication and fruit traits, including flesh texture. Genotyping-by-sequencing of Bangladeshi accessions has produced tens of thousands of filtered SNPs. Marker availability, the review concludes, is no longer the bottleneck.

The bottleneck is validation. The authors developed a four-level evidence hierarchy to classify how close each processing study comes to a genotype-specific product claim. Level I covers trait-based inference, where raw-fruit characteristics are used to propose an end use without any product testing. Level II requires direct measurement of process-relevant raw-material properties, such as how tender jackfruit’s mechanical properties change across maturity stages. Level III demands that a defined material enter an actual processing or postharvest system with at least one product or storage endpoint measured. Level IV — the gold standard — requires multiple genetically characterized genotypes, matched or explicitly standardized physiological states, identical processing conditions and direct comparison of final-product performance. Among the 21 primary studies that directly informed processing-suitability evidence, the tally was four at Level I, four at Level II, 13 at Level III and zero at Level IV.

That zero matters because genotype does not arrive at a processor as a fixed phenotype. Jackfruit is consumed at radically different physiological stages: immature fruit serves as a vegetable or fibrous ingredient, ripe bulbs are eaten fresh, and harvested fruit enters fresh-cut, dried, preserved and fermented products. Each use favours a different raw material, and each is judged by different criteria. A dessert fruit lives or dies on sweetness and aroma; fresh-cut material must hold its structure through handling and cold storage; immature-food applications can actually benefit from fibrous texture before sugars accumulate. Maturity, ripening and postharvest history all alter sugars, firmness, colour, aroma, respiration and metabolite profiles, which means two genotypes harvested on the same day and stored for the same number of days may be in entirely different biological states.

The review argues that four descriptors must be kept strictly separate: harvest maturity, physiological ripeness, chronological storage duration and processing readiness. Static measurements can hide crucial differences — two varieties may reach the same total soluble solids at different times, or one may retain firmness far longer while developing a similar flavour profile. Trajectory measurements such as softening rate, time to a target sugar-acid balance and duration of acceptable post-cut quality would be far more predictive of commercial value than single-point snapshots, yet they remain rare in the literature. Fresh-cut research illustrates the stakes: cutting accelerates water loss, browning, respiration and microbial deterioration, so bulbs that look identical at the start can diverge sharply after processing. Modified-atmosphere packaging, ethanol vapour treatment, methyl jasmonate application and calcium chloride plus heat treatment have all been shown to reshape quality trajectories, but almost always in a single cultivar.

Texture currently offers the strongest mechanistic bridge between jackfruit genomics and a commercial trait. The genome study identified a candidate region associated with flesh texture with expression evidence pointing to a polygalacturonase-related mechanism, while independent work tracked firmness, cell-wall polysaccharides and softening enzymes through maturation and ripening. Both converge on pectin disassembly as a driver of softening. But the review is careful to note that this does not establish a causal allele usable predictively across germplasm — that would require independent populations, allele-specific functional tests and standardized texture phenotyping. Similar caution applies to colour and aroma: integrated transcriptomic-metabolomic work links pulp colour differences to coordinated carotenoid and flavonoid metabolism, and multi-omics comparisons tie cultivar aroma differences to several metabolic pathways rather than one diagnostic compound, but none of these associations has been causally validated.

The review also dismantles some common shortcuts. Total soluble solids, the workhorse measurement of fruit sweetness, is not equivalent to perceived sweetness, which also reflects acidity, individual sugars, aroma and texture. Instrumental colour is not a proxy for carotenoid concentration unless pigment chemistry is measured directly. Antioxidant assays are not evidence of health benefit. Fruit mass is not marketable yield, since rind, core, seeds and edible bulbs account for wildly different fractions across accessions. And a meat-like fibrous structure in immature jackfruit is a technological property, not nutritional equivalence to animal protein — the relatively low protein content of immature fruit means plant-based products may require complementary protein sources and direct nutritional evaluation.

To move the field forward, the authors lay out a research pipeline that begins not with more diversity surveys but with a well-designed, well-characterized germplasm panel with sufficient genetic and geographic breadth and clonal replication. Candidate genotypes should be evaluated in common-garden and multi-location, multi-season trials, with mixed models partitioning genotype, environment and genotype-by-environment effects; rootstock, nutrition, season and management should be recorded as explanatory factors rather than absorbed into the genotype label. Physiological state should be standardized explicitly using measurable variables such as firmness, sugar-acid balance or colour, not assumed from harvest dates. Then comes the missing experiment: several genetically characterized genotypes at objectively matched physiological states, processed under one protocol, with process yield, texture, colour, flavour, nutrient retention, storage stability and microbial safety measured directly. Repeating the comparison across seasons would reveal whether genotype rankings are stable or shift with production context.

The authors are equally clear that laboratory success is not the finish line. Sensory and economic evidence is far thinner than compositional or postharvest evidence, and a technically successful product may remain commercially unattractive once usable yield, energy, packaging, waste and market response are counted. Consumer preference and willingness-to-pay studies, such as recent work on red-fleshed jackfruit in southern India, point toward the kind of validation deployment requires. Notably, the review concludes that near-term progress does not depend on genomic prediction at all: existing diversity can already support clonal selection, better parent choice, tighter maturity control and direct product tests of elite material. Marker-assisted selection becomes worthwhile only after large-effect loci are independently validated, and genomic prediction will need substantially larger and more reproducible training datasets than currently exist. The practical priority, the authors argue, is not to find a universally superior jackfruit, but to determine which genotype, expressed under which physiological state and production context, performs reproducibly in a defined end use — a shift that would finally connect germplasm improvement with food-product development while keeping technological, nutritional, consumer and economic claims anchored to the evidence that actually measures them.

Subject of Research: Evidence gaps in linking jackfruit genotype, fruit quality physiology and end-use product performance

Article Title: Bridging genotype, dynamic fruit quality and end-use performance in jackfruit: evidence gaps and validation priorities

Article References: Guo, J., Chen, C., Peng, S., Zhang, H., Huang, M., Zhou, X., & Feng, F. (2026). Bridging genotype, dynamic fruit quality and end-use performance in jackfruit: evidence gaps and validation priorities. Journal of Agriculture and Food Research, 31, Article 103323. https://doi.org/10.1016/j.jafr.2026.103323

Image Credits: AI Generated

DOI: 10.1016/j.jafr.2026.103323

Keywords: jackfruit, Artocarpus heterophyllus, genotype, fruit quality, postharvest, fresh-cut, food processing, genomic prediction, phenotyping, plant breeding, evidence validation, value-added products