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Research article · 2025 · Full text

International Journal of Horticulture and Food Science

Profiling disease management protocols of Rye in the Subansiri Valley

Serkan AydınSeda KilicOmer Karatas

Volume 7(10) · Pages 191–194 · DOI: 10.33545/26631067.2025.v7.i10c.721 ↗

Research areasFungal Plant Pathogen ControlWheat and Barley Genetics and PathologyPlant Disease Management Techniques

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Abstract

Author-written

Rye (Secale cereale L.) has been cultivated for more than four thousand years, yet systematic comparisons of disease management protocols remain sparse for river-basin environments outside Europe. This research profiled four disease management approaches, untreated control, chemical fungicide, biological control agent, and an integrated protocol, in rye grown across the Subansiri Valley during the 2022-2023 season. A randomised complete block design with four replications was established at three sites varying in altitude and humidity. Disease incidence, measured as the percentage of flag leaves showing visible lesions, reached 53.1% in untreated plots by week 16 but was held to 14.0% under the integrated protocol. The chemical fungicide reduced disease to 18.7%, while the biocontrol treatment achieved 31.6%. Foliar spray timing at the booting stage was more effective than spraying at tillering alone, cutting incidence by an additional 6.3 percentage points. Grain bitterness, assessed by a trained sensory panel, was lowest in integrated-protocol plots (score 2.1 on a 10-point scale) and highest in untreated controls (score 5.8). Nutraceutical markers, including total phenolics and alkylresorcinol content, were better preserved under integrated management. Adaptability analysis across the three sites confirmed that the integrated protocol performed consistently, with a regression coefficient of 1.03, close to the ideal value of 1.00. These findings support adoption of integrated disease management for rye production in humid subtropical valleys where single-strategy approaches fall short.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Fungal pathogens like leaf rust, scald, and ergot are significant threats to rye, potentially reducing grain output by 20% to 40%. View evidence ↗

      Why it matters

      Fungal pathogens like leaf rust, scald, and ergot are significant threats to rye, potentially reducing grain output by 20% to 40%.

      In the paper's own words

      “Fungal pathogens such as Puccinia recondita (leaf rust), Rhynchosporium secalis (scald), and Claviceps purpurea (ergot) can reduce rye grain output by 20 to 40% when left unchecked”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The Subansiri Valley's warm winters and high humidity create an environment that promotes foliar disease outbreaks not typically seen in temperate rye regions. View evidence ↗

      Why it matters

      The Subansiri Valley's warm winters and high humidity create an environment that promotes foliar disease outbreaks not typically seen in temperate rye regions.

      In the paper's own words

      “The Subansiri Valley, a major tributary corridor of the Brahmaputra in northeast South Asia, experiences warm winters and high humidity that favour foliar disease outbreaks uncommon in temperate rye belts”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Fungal infections can trigger defensive metabolism in rye, increasing phenolic oxidation products that make the grain bitter and less acceptable to consumers. View evidence ↗

      Why it matters

      Fungal infections can trigger defensive metabolism in rye, increasing phenolic oxidation products that make the grain bitter and less acceptable to consumers.

      In the paper's own words

      “Bitterness in rye grain, linked to phenolic oxidation products, can intensify when fungal infection triggers defensive metabolism, reducing consumer acceptance”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. What they did

    • The researchers used a split-plot design at three sites, testing four disease management protocols as main plots and three foliar spray timing options as subplots. View evidence ↗

      What they did

      The researchers used a split-plot design at three sites, testing four disease management protocols as main plots and three foliar spray timing options as subplots.

      In the paper's own words

      “A split-plot design was used at each of the three sites, with disease management protocol (four levels) as the main plot and foliar spray timing (tillering only versus booting only versus both stages) as the subplot.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The experiment utilized main plots of 5 m by 8 m and subplots of 5 m by 2.5 m, with four replications and rye sown at 120 kg per ha. View evidence ↗

      What they did

      The experiment utilized main plots of 5 m by 8 m and subplots of 5 m by 2.5 m, with four replications and rye sown at 120 kg per ha.

      In the paper's own words

      “Main plots measured 5 m by 8 m and subplots 5 m by 2.5 m, each replicated four times. Rye was sown in rows 18 cm apart at 120 kg per ha.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Disease incidence was measured weekly by calculating the percentage of flag leaves with visible lesions on 20 randomly tagged tillers per subplot. View evidence ↗

      What they did

      Disease incidence was measured weekly by calculating the percentage of flag leaves with visible lesions on 20 randomly tagged tillers per subplot.

      In the paper's own words

      “Disease incidence was recorded weekly as the percentage of flag leaves with visible lesions (rust pustules, scald blotches, or ergot sclerotia) on 20 randomly tagged tillers per subplot”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • A trained seven-member panel rated grain bitterness on a scale from 1 (not bitter) to 10 (extremely bitter). View evidence ↗

      What they did

      A trained seven-member panel rated grain bitterness on a scale from 1 (not bitter) to 10 (extremely bitter).

      In the paper's own words

      “Grain bitterness was rated by a seven-member trained panel using a 10-point scale (1 = not bitter, 10 = extremely bitter).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  3. What they found

    • The integrated protocol was most effective, resulting in the lowest mean disease incidence (14.0%) and lowest bitterness score (2.1), compared to the untreated control's 53.1% incidence and 5.8 bitterness score. View evidence ↗

      What they found

      The integrated protocol was most effective, resulting in the lowest mean disease incidence (14.0%) and lowest bitterness score (2.1), compared to the untreated control's 53.1% incidence and 5.8 bitterness score.

      In the paper's own words

      “Protocol | Site A | Site B | Site C | Mean | Bitterness (1-10) Untreated control | 48.7 | 53.1 | 57.4 | 53.1 a | 5.8 a Chemical fungicide | 16.3 | 18.7 | 21.2 | 18.7 c | 3.2 c Biocontrol agent | 28.4 | 31.6 | 34.9 | 31.6 b | 4.1 b Integrated protocol | 12.1 | 14.0 | 15.8 | 14.0 d | 2.1 d”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Foliar spraying at the booting stage was more effective than spraying at the tillering stage, reducing disease incidence by an additional 6.3 percentage points. View evidence ↗

      What they found

      Foliar spraying at the booting stage was more effective than spraying at the tillering stage, reducing disease incidence by an additional 6.3 percentage points.

      In the paper's own words

      “Spraying at the booting stage alone reduced disease by 6.3 percentage points more than spraying at tillering”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗
    • The integrated protocol produced the highest yield (3.72 t/ha) and best preserved nutraceuticals, with total phenolics at 4.37±0.24 mg GAE/g and alkylresorcinols at 0.63±0.05 mg/g. View evidence ↗

      What they found

      The integrated protocol produced the highest yield (3.72 t/ha) and best preserved nutraceuticals, with total phenolics at 4.37±0.24 mg GAE/g and alkylresorcinols at 0.63±0.05 mg/g.

      In the paper's own words

      “Protocol | Total Phenolics (mg GAE/g) | Alkylresorcinols (mg/g) | Yield (t/ha) | Adaptability (b-value) Untreated control | 3.21±0.18 | 0.42±0.03 | 2.14 | 0.87 Chemical fungicide | 4.08±0.22 | 0.58±0.04 | 3.47 | 1.12 Biocontrol agent | 3.74±0.20 | 0.51±0.04 | 2.89 | 0.96 Integrated protocol | 4.37±0.24 | 0.63±0.05 | 3.72 | 1.03”

      Page 2

      Found in: Table 2

      Read it in the full textOpen PDF at page 2 ↗
    • The integrated protocol demonstrated stable cross-site performance with a near-ideal adaptability regression coefficient of 1.03. View evidence ↗

      What they found

      The integrated protocol demonstrated stable cross-site performance with a near-ideal adaptability regression coefficient of 1.03.

      In the paper's own words

      “Integrated protocol | 4.37±0.24 | 0.63±0.05 | 3.72 | 1.03”

      Page 2

      “showed near-ideal adaptability (b = 1.03).”

      Page 2

      Found in: Table 2

      Read it in the full textOpen PDF at page 2 ↗
  4. What it means

    • The authors conclude that an integrated protocol of prevention, monitoring, and timed intervention is superior to single-strategy approaches for managing rye disease in the Subansiri Valley. View evidence ↗

      What it means

      The authors conclude that an integrated protocol of prevention, monitoring, and timed intervention is superior to single-strategy approaches for managing rye disease in the Subansiri Valley.

      In the paper's own words

      “This research demonstrated that an integrated disease management protocol combining cultural prevention, weekly monitoring, and timed intervention held rye disease incidence to 14.0% across three sites in the Subansiri Valley, outperforming both chemical-only and biocontrol-only strategies.”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗
    • The authors state that future research is needed to test the protocol over multiple seasons, analyze economic costs and benefits, and explore its application in aquaponics-based systems. View evidence ↗

      What it means

      The authors state that future research is needed to test the protocol over multiple seasons, analyze economic costs and benefits, and explore its application in aquaponics-based systems.

      In the paper's own words

      “Future work should test the protocol over multiple seasons, incorporate economic cost-benefit data, and explore whether aquaponics-based rye production systems can benefit from similar integrated management principles”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (rye plants (Secale cereale)). It explains the idea and does not show study data.↗ Enlarge
Integrated Disease Management Pillars
AI-generated conceptual illustration (rye plants (Secale cereale)). It explains the idea and does not show study data.

AI-generated conceptual illustration (rye plants (Secale cereale)). It explains the idea and does not show study data.

Open full-size image ↗

Integrated Disease Management Pillars

AI-generated conceptual illustration (rye plants (Secale cereale)). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Untreated control: Mean vs Bitterness (1-10)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Untreated control: Mean vs Bitterness (1-10)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Chemical fungicide: Mean vs Bitterness (1-10)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Chemical fungicide: Mean vs Bitterness (1-10)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Final disease incidence (%) at week 16 and grainTable 1Page 2Nutraceutical parameters and adaptability coefficients of rye grain under four protocolsTable 2Page 2Disease incidence trajectories over 16 weeks for four management protocols at Site B. Error bars omitted for clarity; coefficient ofFigure 1Page 3Conceptual illustration of the integrated disease management protocol for rye, showing the three operational pillars (prevention,Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Rye was among the first cereals domesticated in the Fertile Crescent, and written records from Roman-era Europe describe its resistance to cold and marginal soils [1] . Centuries later, the crop still occupies a distinct niche in global agriculture because it tolerates conditions that defeat wheat and barley, yet its disease vulnerability remains a persistent constraint on yield and quality [2] . Fungal pathogens such as Puccinia recondita (leaf rust), Rhynchosporium secalis (scald), and Claviceps purpurea (ergot) can reduce rye grain output by 20 to 40% when left unchecked [3] . Disease management in rye has traditionally relied on chemical fungicides, but environmental regulations and consumer demand for residue-free grain have pushed growers toward alternatives [4] . Biological control agents based on Trichoderma spp. and Bacillus subtilis have shown promise in pot trials, yet field-scale validation in subtropical basins is limited [5] . Integrated protocols that combine cultural practices, timed fungicide applications, and biocontrol inoculants may offer the best balance between efficacy and sustainability, though their performance depends heavily on local climate and pathogen pressure [6,7] . The Subansiri Valley, a major tributary corridor of the Brahmaputra in northeast South Asia, experiences warm winters and high humidity that favour foliar disease outbreaks uncommon in temperate rye belts [8] . Rye introduced here for its nutraceutical value, including high alkylresorcinol and dietary fibre content, faces disease challenges that extension services have not yet addressed with evidence-based protocols [9] . Bitterness in rye grain, linked to phenolic oxidation products, can intensify when fungal infection triggers defensive metabolism, reducing consumer acceptance [10] . Against this backdrop, the present research aimed to: (a) compare disease incidence trajectories under four management protocols across a 16-week growing season; (b) evaluate the effect of foliar spray timing on disease suppression; (c) measure grain bitterness and nutraceutical compound retention under each protocol; and (d) assess adaptability of the protocols across three valley sites differing in altitude and humidity [11,12] .

Research Area Description

The Subansiri Valley runs roughly 400 km from the eastern Himalayan foothills to its confluence with the Brahmaputra. Three trial sites were selected: Site A at 680 m elevation (upper valley, mean annual rainfall 2,210 mm), Site B at 340 m (mid-valley, 1,870 mm), and Site C at 120 m (lower valley, 1,540 mm). Soils ranged from acidic sandy loam (pH 5.2) at Site A to slightly acidic clay loam (pH 5.9) at Site C. Organic carbon content averaged 1.8% across sites. The valley supports a warm subtropical climate with mean winter temperatures between 12 and 18 degrees C, well above the frost line that normally characterises European rye regions [8] .

Seasonal Variations

The trial spanned October 2022 to February 2023. October daytime temperatures averaged 24.6 degrees C, dropping to 14.2 degrees C by January. Relative humidity was highest in October (86%) and lowest in January (63%). Rainfall totalled 142 mm during the season, with November contributing the largest share (58 mm). A dry spell of 19 consecutive days in December coincided with reduced disease pressure across all sites, while a return of moisture in January triggered a second wave of scald symptoms, particularly at Site C [8] .

Material and Methods

Material and Methods

Material

The winter rye cultivar Dankovsky, selected for its moderate disease tolerance and acceptable nutraceutical profile, was used throughout. Seed was obtained from the Turkish Seed Gene Bank (Ankara, Turkey) and multiplied at the Bursa Laboratory of Phytoscience during the 2021-2022 season. Chemical fungicide treatments used propiconazole (Tilt 250 EC, Syngenta) at 125 mL per ha. The biocontrol agent was a commercial formulation of Trichoderma harzianum (Trianum-P, Koppert Biological Systems, The Netherlands) applied at 3 g per litre. Sensory evaluation materials, including palate-cleansing crackers and distilled water, followed ISO 8586:2012 guidelines [13] . All field activities were conducted under ethics clearance (Protocol BLP-FL/2022-034, approved 18 September 2022).

Methods

A split-plot design was used at each of the three sites, with disease management protocol (four levels) as the main plot and foliar spray timing (tillering only versus booting only versus both stages) as the subplot. Main plots measured 5 m by 8 m and subplots 5 m by 2.5 m, each replicated four times. Rye was sown in rows 18 cm apart at 120 kg per ha. Disease incidence was recorded weekly as the percentage of flag leaves with visible lesions (rust pustules, scald blotches, or ergot sclerotia) on 20 randomly tagged tillers per subplot [3] . Grain bitterness was rated by a seven-member trained panel using a 10-point scale (1 = not bitter, 10 = extremely bitter). Total phenolics were quantified by the Folin-Ciocalteu method and expressed as gallic acid equivalents per gram dry weight. Alkylresorcinol content was determined by colorimetric assay with Fast Blue B salt [9] . Adaptability was assessed by regressing each protocol's mean yield at each site on the environmental index (site mean minus grand mean), following the Eberhart-Russell model [14] . Statistical analyses used PROC MIXED in SAS version 9.4, treating site as a random effect [15] . The integrated protocol achieved the lowest disease incidence and bitterness score at every site. Disease pressure was consistently highest at Site C (lower altitude, higher humidity). Integrated management preserved the highest phenolic and alkylresorcinol levels, produced the greatest yield, and showed near-ideal adaptability (b = 1.03).

Results

Results

Comprehensive Interpretation

The line graph in Figure 1 shows that disease trajectories diverged sharply after week 5, when pathogen inoculum reached threshold levels. The integrated protocol maintained a near-flat incidence curve from week 10 onward, whereas the untreated control continued to rise. The conceptual diagram in Figure 2 captures how the three pillars of the integrated approach, prevention, monitoring, and intervention, work together to deliver both agronomic and quality benefits [6,7] .

Figure 2. Conceptual illustration of the integrated disease management protocol for rye, showing the three operational pillars (prevention,
Conceptual illustration of the integrated disease management protocol for rye, showing the three operational pillars (prevention,↗ Enlarge
Figure 2
Conceptual illustration of the integrated disease management protocol for rye, showing the three operational pillars (prevention,

Conceptual illustration of the integrated disease management protocol for rye, showing the three operational pillars (prevention,

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 1. Disease incidence trajectories over 16 weeks for four management protocols at Site B. Error bars omitted for clarity; coefficient of
Disease incidence trajectories over 16 weeks for four management protocols at Site B. Error bars omitted for clarity; coefficient of↗ Enlarge
Figure 1
Disease incidence trajectories over 16 weeks for four management protocols at Site B. Error bars omitted for clarity; coefficient of

Disease incidence trajectories over 16 weeks for four management protocols at Site B. Error bars omitted for clarity; coefficient of

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Discussion

The 14.0% disease incidence achieved by the integrated protocol is well below the 20% economic threshold typically cited for rye in central European conditions [3] . This result is notable because the Subansiri Valley's warm, humid climate was expected to favour faster pathogen cycling. The combination of resistant cultivar choice, timed fungicide application at booting, and Trichoderma inoculation appears to have created overlapping suppressive effects that no single strategy matched alone [5,6] . Bitterness scores mirrored disease levels closely, consistent with the idea that fungal infection triggers phenolic oxidation pathways that produce bitter-tasting quinones [10] . Under integrated management, total phenolics remained high (4.37 mg GAE per g) without elevating bitterness, suggesting that intact phenolics contribute positively to nutraceutical value, whereas their oxidised derivatives detract from taste. This distinction has practical meaning for food processors seeking rye flour with both health benefits and consumer appeal [9,16] . The adaptability analysis provided cross-site validation. A regression coefficient near 1.0, as seen for the integrated protocol (b = 1.03), indicates stable performance regardless of environmental index, which is the hallmark of a broadly adapted management strategy [14] . In contrast, the chemical fungicide showed above-average responsiveness (b = 1.12), meaning its advantage was concentrated at the higheryielding sites and diminished where conditions were less favourable, a pattern that could mislead extension recommendations if data from only one site were available [17] . Foliar spray timing merits further attention. Spraying at the booting stage alone reduced disease by 6.3 percentage points more than spraying at tillering, likely because booting coincides with flag-leaf expansion, the tissue most responsible for grain filling and therefore most valuable to protect [18,19] . This timing window is narrow, spanning roughly seven to ten days, and extension programmes will need to train growers in accurate growth-stage identification to capture the benefit [20,21] .

Conclusion

This research demonstrated that an integrated disease management protocol combining cultural prevention, weekly monitoring, and timed intervention held rye disease incidence to 14.0% across three sites in the Subansiri Valley, outperforming both chemical-only and biocontrolonly strategies. Grain bitterness was lowest and nutraceutical quality highest under the integrated approach, supporting its adoption where rye is grown for health-food markets. Adaptability analysis confirmed stable cross-site performance, strengthening the case for valley-wide extension. Foliar spray timing at the booting stage was the single most effective tactical decision within the protocol. Future work should test the protocol over multiple seasons, incorporate economic cost-benefit data, and explore whether aquaponics-based rye production systems can benefit from similar integrated management principles to extend the protocol's relevance beyond field agriculture.

Acknowledgement

Acknowledgements Funding SourcesThis research received institutional funding for disease management research in non-traditional cereal growing regions. Institutional SupportThe Bursa Laboratory of Phytoscience provided pathology laboratory facilities and sensory evaluation rooms. Contributions Not Qualifying for AuthorshipTrained panellists who participated in bitterness assessments are gratefully acknowledged.

Figures and tables from the paper

Table 1. Final disease incidence (%) at week 16 and grain
ProtocolSite ASite BSite CMeanBitterness (1-10)
Untreated control48.753.157.453.1 a5.8 a
Chemical fungicide16.318.721.218.7 c3.2 c
Biocontrol agent28.431.634.931.6 b4.1 b
Integrated protocol12.114.015.814.0 d2.1 d

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Final disease incidence (%) at week 16 and grain↗ Enlarge
Table 1
Final disease incidence (%) at week 16 and grain

Final disease incidence (%) at week 16 and grain

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Original paper tableSource PDF · page 2 ↗
Table 2. Nutraceutical parameters and adaptability coefficients of rye grain under four protocols
ProtocolTotal Phenolics (mg GAE/g)Alkylresorcinols (mg/g)Yield (t/ha)Adaptability (b-value)
Untreated control3.21±0.180.42±0.032.140.87
Chemical fungicide4.08±0.220.58±0.043.471.12
Biocontrol agent3.74±0.200.51±0.042.890.96
Integrated protocol4.37±0.240.63±0.053.721.03

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Nutraceutical parameters and adaptability coefficients of rye grain under four protocols↗ Enlarge
Table 2
Nutraceutical parameters and adaptability coefficients of rye grain under four protocols

Nutraceutical parameters and adaptability coefficients of rye grain under four protocols

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Original paper tableSource PDF · page 2 ↗

References

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  12. Zhu Y, Chen H, Fan J, Wang Y, Li Y, Chen J, et al. Genetic diversity and disease control in rice. Nature. 2000;406(6797):718-722.
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  17. Gauch HG. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Amsterdam: Elsevier; 1992. p. 1-278.
  18. Simmons SR. Growth, development, and physiology. In: Oats: Chemistry and Technology. St Paul, MN: AACC; 1987. p. 13-33.
  19. Ruske RE, Gooding MJ, Jones SA. The effects of triazole and strobilurin fungicide programmes on nitrogen uptake, partitioning, remobilization and grain N accumulation in winter wheat cultivars. Journal of Agricultural Science. 2003;140(4):395-407.
  20. Lancashire PD, Bleiholder H, Boom TVD, Langeluddeke P, Stauss R, Weber E, et al. A uniform decimal code for growth stages of crops and weeds. Annals of Applied Biology. 1991;119(3):561-601.
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