Polymorphism of SSR markers and genetic diversity
Screening 104 glutinous rice accessions with 108 SSR loci identified 52 highly polymorphic markers, corresponding to a polymorphism rate of 48.15%. Locus profiling produced 214 total alleles, averaging 4.12 per locus (spanning 2 to 7 alleles; Table 2). This average allele number is higher than those reported by
Tran et al. (2011) and
Doan et al., (2016), but lower than the diversity levels observed in larger regional collections
(Hue et al., 2018; Lei et al., 2021). These variations in allelic richness can be attributed primarily to differences in the geographical scale and sample size of the germplasm evaluated. While our collection comprises 104 accessions concentrated within a specialized traditional agro-ecological zone of Central Vietnam, broader collections encompass distinct eco-strains across multiple macro-regions, naturally harboring broader genetic backgrounds. Furthermore, the variation in allele counts among studies may stem from the specific panel and repeat types of SSR markers employed, as well as the resolution capacity of the genotyping platforms utilized. Marker informativeness was confirmed by PIC values ranging from 0.33 (RM333) to 0.86 (RM514) with a mean of 0.60 (Table 2). This elevated mean PIC value reflects significant local genetic variation, which can be attributed to long-term traditional selection pressures by farmers in the specific microclimate of the Tu Nghia region. Empirical studies on on-farm genetic conservation have shown that decentralized seed saving, informal intra-village seed exchanges and diverse micro-ecological niches (such as valley lowlands and mineral thermal springs) act synergistically to maintain high allelic heterogeneity within landrace populations while preventing complete genetic fixation (
Watson and Eyzaguirre, 2002;
Rana et al., 2009; Tran et al., 2021). Field investigations in this area further confirmed that local growers have maintained heterogeneous seed stocks across households and continuously selected for culinary preferences and stress resilience, thereby driving micro-evolutionary divergence. These polymorphism estimates are comparable to the SSR profiling reported by
Singh et al., (2025), who recorded PIC values up to 0.86 across diverse rice accessions, underscoring the discriminatory power of microsatellite loci in landrace differentiation. Consequently, these SSR markers prove highly effective for in-situ conservation tracking and geographical brand protection.
At a genetic similarity coefficient threshold of 0.41, UPGMA-based cluster analysis partitioned the 104 accessions into two primary groups, designated as Cluster A and Cluster B (Fig 1). Cluster A represented the predominant share of the germplasm (82.69%), whereas Cluster B encompassed 17.31%. Upon shifting the similarity threshold to 0.55, Cluster B was partitioned into three clear sub-clusters (B1, B2 and B3). This sub-grouping highlights marked genomic differentiation among the local accessions, offering useful options to counteract genetic erosion.
Variance in agro-morphological characteristics
Descriptive statistics for the 11 quantitative traits demonstrated substantial phenotypic variability, with all parameters exhibiting a normal distribution (p<00.5, Table 3), confirming substantial genetic variation across yield-contributing traits as observed in comparable rice germplasm evaluations
(Kumar et al., 2026).
The frequency distribution of growth duration (GT) highlights a highly skewed population toward late maturity, as visualized in Fig 2. The GT ranged widely from 129 to 181 days, with a predominant majority (97.12%) classified into the late-maturing group (>130 days) (Table 4). This late-maturing profile contrasts with typical short-to-medium duration cultivars in Northern Vietnam (
Doan, 2013). This pronounced late maturity is intimately linked to photoperiod sensitivity, a distinctive physiological hallmark of traditional Asian rice landraces. As a short-day plant, the Cút glutinous rice accessions typically require day lengths falling below a critical photoperiod threshold to trigger panicle initiation and heading. Such strong photoperiod sensitivity reflects evolutionary adaptation to the local agro-ecological rhythms of Central Vietnam, preventing flowering during the severe rainy or flooding period while maximizing vegetative biomass accumulation. However, because strong photoperiod responsiveness limits flexible multi-cropping rotations, future breeding initiatives should select for moderate photoperiod sensitivity and reduced growth durations without compromising grain quality.
For plant architecture, Fig 3a demonstrates that 95.19% of the accessions exhibit a tall stature (>120 cm), with plant height (PH) stretching up to 166 cm. While tall statures are advantageous for weed competition and light interception under traditional extensive farming, they pose a high lodging risk, particularly under heavy rain and strong fertilization (
Catón et al., 2003;
Lang et al., 2014; Guru et al., 2017). Conversely, the effective tiller number per plant (ET/P) follows a classic bell-shaped normal distribution curve centered at 7-8 tillers (Fig 3b), confirming a highly stable medium tillering capacity across the core population (Table 5).
Yield-attributing structures displayed extensive phenotypic spreads, all well-documented by their respective frequency distributions in Fig 4. Panicle length (PL) distribution peaked strongly between 24 and 30 cm (Fig 4a), representing a long-to-extra-long panicle profile. This structural advantage directly correlates with the high density of filled grains, where the number of filled spikelets per panicle (NFS/P) predominantly clustered within the 70-130 grain range (Fig 4c). Concurrently, the population maintained an exceptional fertility rate, with the empty spikelet ratio (ESR) heavily skewed toward ultra-low thresholds of 2-10% (Fig 4b). Additionally, the panicle density predominantly ranged between 100 and 120 panicles/m
2, with a population mean of 101.52 panicles/m
2 (Fig 4d; Table 3).
In terms of productivity, the 1000-grain weight (1000W) followed a tight distribution concentrated at 24-26 g (Fig 4e). This contributed to an individual grain yield (Y) distribution peaking at 36-44 g/hill (Fig 4f), with an average performance (39.62 g/hill) outperforming the “Nep Ngu” landrace in Binh Dinh (36.33 g/hill)
(Lang et al., 2023). This strong performance is backed by a robust vegetative biomass (B) centering at 62-68 g (Fig 4g) and a balanced harvest index (HI) shifting around 0.40-0.60 (Fig 4h).
Congruence and differentiation between molecular clusters and agro-morphological traits
A comparative assessment between the UPGMA dendrogram (Fig 1) and phenotypic clustering revealed both notable correspondences and distinct divergences across the 104 accessions. Accessions assigned to major Cluster A (accounting for 82.69% of the collection) shared a remarkably uniform agronomic profile characterized by tall plant height (mean >145 cm), late heading (growth duration >155 days), robust vegetative biomass (60-68 g) and high 1000-grain weight (24.5-26.2 g). This phenotypic stability reflects long-term farmer selection targeting high vegetative competitiveness and specific eating quality within the Tu Nghia valley lowlands.
Conversely, Cluster B (comprising 17.31% of the germplasm, further resolved into sub-clusters B1, B2 and B3) exhibited significant phenotypic divergence from Cluster A. Specifically, the accessions originating from Binh Dinh (BD-101 to BD-104) and distinct peripheral strains clustered within sub-cluster B1, displaying shorter panicle lengths (20-23 cm), reduced 1000-grain weights (22.0-23.5 g) and earlier maturity (129-140 days) compared to the core Nghia Ky and Nghia Thuan strains in Cluster A. Sub-clusters B2 and B3 gathered lines exhibiting intermediate tillering capacity (5-6 tillers/plant) but higher grain harvest indices.
Nevertheless, minor non-congruence observed between molecular grouping and certain agro-morphological parameters is expected. While quantitative phenotypic traits are polygenically inherited and strongly subject to environmental and agronomic pressures, SSR markers probe hypervariable, non-coding genomic loci that are selectively neutral and primarily reflect ancestral lineage and historical gene flow via local seed exchanges. Therefore, coupling molecular SSR genotyping with morphological evaluation provides complementary power: SSRs reliably distinguish authentic landrace identities and geographical provenance, whereas agronomic trait matrices pinpoint elite donor accessions for targeted breeding.
Correlation among agro-morphological traits
Significant phenotypic associations suitable for indirect trait selection were identified through Pearson correlation analysis (Table 6). Specifically, plant height was positively associated with filled spikelets per panicle (r = 0.319*) and panicle length (r = 0.468*), aligning with plant architecture principles in native rice varieties
(Lang et al., 2014; Sujata et al., 2025). A notable positive correlation emerged between panicle length and filled spikelet count (r = 0.656), while filled spikelet count was strongly inversely related to the empty spikelet percentage (r = -0.514).
Most importantly, single-hill grain yield demonstrated significant positive associations with both filled spikelet count per panicle (r = 0.374*) and 1000-grain weight (r = 0.348*). Yield further showed positive trends with tillering capacity and panicle length, whereas it was inversely associated with growth duration and plant height. These trait relationships suggest an evolutionary trade-off between vegetative growth and reproductive potential in local landraces. Consequently, crop breeding programs aiming to maximize productivity should emphasize selecting lines with optimized filled spikelets per panicle, extended panicles and heavy grain weight.