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Research article · 2025 · Full text

International Journal of Horticulture and Food Science

Documenting antioxidant properties of safflower in the Kalahari margins

Faizal IsmailSiti Zulaikha

Volume 7(4) · Pages 86–89 · DOI: 10.33545/26631067.2025.v7.i4b.607 ↗

Research areasSunflower and Safflower CultivationPhytochemicals and Antioxidant ActivitiesSaffron Plant Research Studies

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Abstract

Author-written

By definition, an antioxidant must neutralize free radicals before they damage cellular structures, and safflower (Carthamus tinctorius L.) has long been suspected of doing exactly that yet rigorous quantification across diverse growing environments is still lacking. This research documented the antioxidant properties of five safflower accessions grown at three sites along the Kalahari margins during 2022-2023. The work was coordinated from the Penang Department of Agronomic Sciences. DPPH radical scavenging ranged from 68.9% to 88.4% across accessions, with ACC-41 consistently outperforming others. Total phenolic content in petal extracts reached 347.2 mg GAE/100 g, while seed extracts averaged 218.6 mg GAE/100 g. Carbohydrate yields varied by extraction method, with microwave-assisted extraction producing the highest recovery at 45.1% of dry weight. Mulching with crop residues increased flower head biomass by 14.7% compared to bare soil controls. Machine learning models (random forest) predicted antioxidant activity from spectral reflectance data with an R² of 0.84. Callus culture from petal explants achieved 78.3% induction rate on MS medium supplemented with 2,4-D at 2.0 mg/L. These results confirm safflower as a potent source of natural antioxidants adaptable to semi-arid margins.

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

    • Safflower is suspected of having antioxidant properties that neutralize free radicals, but there is a lack of rigorous quantification of these properties across different growing environments. View evidence ↗

      Why it matters

      Safflower is suspected of having antioxidant properties that neutralize free radicals, but there is a lack of rigorous quantification of these properties across different growing environments.

      In the paper's own words

      “By definition, an antioxidant must neutralize free radicals before they damage cellular structures, and safflower (Carthamus tinctorius L.) has long been suspected of doing exactly that yet rigorous quantification across diverse growing environments is still lacking.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The Kalahari margins in southern Africa are characterized by semi-arid conditions, with annual rainfall between 250-400 mm and summer surface soil temperatures often exceeding 40°C. View evidence ↗

      Why it matters

      The Kalahari margins in southern Africa are characterized by semi-arid conditions, with annual rainfall between 250-400 mm and summer surface soil temperatures often exceeding 40°C.

      In the paper's own words

      “The Kalahari margins the transitional zone between the Kalahari Desert and surrounding savanna in southern Africa receive 250-400 mm of annual rainfall and experience soil temperatures that regularly exceed 40°C at the surface during summer months [3].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Mulching is a practice that may improve biomass production and antioxidant accumulation by conserving moisture and moderating soil temperature. View evidence ↗

      Why it matters

      Mulching is a practice that may improve biomass production and antioxidant accumulation by conserving moisture and moderating soil temperature.

      In the paper's own words

      “Mulching practices can moderate soil temperature and conserve moisture, potentially affecting both biomass production and antioxidant accumulation [4].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to quantify the antioxidant properties of five safflower accessions, evaluate the impact of mulching, compare extraction methods, test machine learning predictions, and assess callus induction from petals. View evidence ↗

      The question

      The study aimed to quantify the antioxidant properties of five safflower accessions, evaluate the impact of mulching, compare extraction methods, test machine learning predictions, and assess callus induction from petals.

      In the paper's own words

      “This research aimed to quantify antioxidant properties across five safflower accessions, test the effects of mulching on biomass and antioxidant yield, compare extraction methods for carbohydrate and phenolic recovery, evaluate machine learning prediction of antioxidant activity, and assess callus induction potential from petal explants [6].”

      Page 1

      Found in: Introduction

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

    • Five safflower accessions (ACC-14, ACC-27, ACC-33, ACC-41, and ACC-58) were planted at three sites in the Kalahari margins starting in November 2022. View evidence ↗

      What they did

      Five safflower accessions (ACC-14, ACC-27, ACC-33, ACC-41, and ACC-58) were planted at three sites in the Kalahari margins starting in November 2022.

      In the paper's own words

      “Five safflower accessions (ACC-14, ACC-27, ACC-33, ACC-41, ACC-58) were sourced from the USDA National Plant Germplasm System. Seeds were sown at three Kalahari margin sites (approximately 23.8-24.6°S, 21.3-22.7°E) in November 2022.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • The mulching treatment consisted of applying sorghum stover at a rate of 5 t/ha during plant emergence. View evidence ↗

      What they did

      The mulching treatment consisted of applying sorghum stover at a rate of 5 t/ha during plant emergence.

      In the paper's own words

      “Mulching treatments used sorghum stover at 5 t/ha applied at emergence.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Carbohydrate recovery was tested using four different extraction methods: Soxhlet, ultrasonic, microwave, and supercritical CO2. View evidence ↗

      What they did

      Carbohydrate recovery was tested using four different extraction methods: Soxhlet, ultrasonic, microwave, and supercritical CO2.

      In the paper's own words

      “Four extraction methods were compared for carbohydrate recovery: Soxhlet (6 h), ultrasonic (40 kHz, 30 min), microwave (300 W, 10 min), and supercritical CO2 (40°C, 200 bar).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • A random forest machine learning model was used to predict DPPH antioxidant values based on spectral reflectance data. View evidence ↗

      What they did

      A random forest machine learning model was used to predict DPPH antioxidant values based on spectral reflectance data.

      In the paper's own words

      “Random forest models were trained on spectral reflectance (10 principal components) to predict DPPH values using 70/30 train-test split [9].”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Callus induction was tested using petal explants on MS medium supplemented with 2,4-D and BAP, incubated for 28 days. View evidence ↗

      What they did

      Callus induction was tested using petal explants on MS medium supplemented with 2,4-D and BAP, incubated for 28 days.

      In the paper's own words

      “Callus induction used petal explants on MS medium with 2,4-D (0.5-3.0 mg/L) and BAP (0.5-1.5 mg/L), incubated at 25°C under 16/8 h photoperiod for 28 days [10].”

      Page 2

      Found in: Methods

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

    • Accession ACC-41 showed the highest antioxidant properties, with a DPPH scavenging rate of 88.4% and total phenolics of 347.2 mg GAE/100 g. View evidence ↗

      What they found

      Accession ACC-41 showed the highest antioxidant properties, with a DPPH scavenging rate of 88.4% and total phenolics of 347.2 mg GAE/100 g.

      In the paper's own words

      “ACC-41 dominated all antioxidant metrics (Table 1), with DPPH scavenging at 88.4% and total phenolics at 347.2 mg GAE/100 g.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Accession ACC-33 had the lowest antioxidant activity, with DPPH radical scavenging starting at 68.9% for the group. View evidence ↗

      What they found

      Accession ACC-33 had the lowest antioxidant activity, with DPPH radical scavenging starting at 68.9% for the group.

      In the paper's own words

      “ACC-33 was weakest across the board.”

      Page 2

      “DPPH radical scavenging ranged from 68.9% to 88.4% across accessions”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Mulching increased flower head biomass by 14.7% (48.7 vs 42.4 g/plant) and seed yield by 12.2% (31.2 vs 27.8 g/plant) compared to unmulched controls. View evidence ↗

      What they found

      Mulching increased flower head biomass by 14.7% (48.7 vs 42.4 g/plant) and seed yield by 12.2% (31.2 vs 27.8 g/plant) compared to unmulched controls.

      In the paper's own words

      “Flower biomass (g/plant) | 48.7±4.3 | 42.4±5.1 | +14.7”

      Page 2

      “Seed yield (g/plant) | 31.2±3.6 | 27.8±4.2 | +12.2”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Mulching reduced soil temperature at a 5 cm depth by 7.6°C (34.2°C vs 41.8°C). View evidence ↗

      What they found

      Mulching reduced soil temperature at a 5 cm depth by 7.6°C (34.2°C vs 41.8°C).

      In the paper's own words

      “Soil temperature at 5cm (°C) | 34.2±2.1 | 41.8±2.7 | -18.2”

      Page 2

      “Soil temperature at 5 cm depth was 7.6°C lower under mulch”

      Page 3

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Microwave-assisted extraction was the most efficient for carbohydrate recovery at 45.1% of dry weight, compared to Soxhlet (42.3%), ultrasonic (38.7%), and supercritical CO2 (36.4%). View evidence ↗

      What they found

      Microwave-assisted extraction was the most efficient for carbohydrate recovery at 45.1% of dry weight, compared to Soxhlet (42.3%), ultrasonic (38.7%), and supercritical CO2 (36.4%).

      In the paper's own words

      “Microwave-assisted extraction yielded the highest carbohydrate recovery (45.1% DW), outperforming Soxhlet (42.3%), ultrasonic (38.7%), and supercritical CO2 (36.4%).”

      Page 3

      Found in: Comprehensive interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • The random forest model predicted DPPH values from spectral reflectance with an R² of 0.84 and an RMSE of 4.7%. View evidence ↗

      What they found

      The random forest model predicted DPPH values from spectral reflectance with an R² of 0.84 and an RMSE of 4.7%.

      In the paper's own words

      “The random forest model achieved R² = 0.84 and RMSE = 4.7% for predicting DPPH values from spectral reflectance.”

      Page 3

      Found in: Comprehensive interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • The highest callus induction rate of 78.3% was achieved using 2.0 mg/L 2,4-D and 1.0 mg/L BAP, resulting in a callus mass of 2.8 g per explant after 28 days. View evidence ↗

      What they found

      The highest callus induction rate of 78.3% was achieved using 2.0 mg/L 2,4-D and 1.0 mg/L BAP, resulting in a callus mass of 2.8 g per explant after 28 days.

      In the paper's own words

      “Callus induction was highest (78.3%) at 2.0 mg/L 2,4-D combined with 1.0 mg/L BAP, with callus mass reaching 2.8 g per explant after 28 days.”

      Page 3

      Found in: Comprehensive interpretation

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that safflower is a viable dual-purpose crop for both oil and natural antioxidant extraction in semi-arid African margins. View evidence ↗

      What it means

      The authors conclude that safflower is a viable dual-purpose crop for both oil and natural antioxidant extraction in semi-arid African margins.

      In the paper's own words

      “These findings collectively position safflower as a viable dual-purpose crop for oil and natural antioxidant extraction in semi-arid African margins.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The machine learning model is not yet accurate enough for quality certification, which typically requires errors below 5%. View evidence ↗

      What it means

      The machine learning model is not yet accurate enough for quality certification, which typically requires errors below 5%.

      In the paper's own words

      “The machine learning prediction model (R² = 0.84) is promising but not yet accurate enough for quality certification purposes, where errors below 5% are typically required.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

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 (Safflower plants (Carthamus tinctorius) in semi-arid sandy soil). It explains the idea and does not show study data.↗ Enlarge
Effect of Mulching on Safflower
AI-generated conceptual illustration (Safflower plants (Carthamus tinctorius) in semi-arid sandy soil). It explains the idea and does not show study data.

AI-generated conceptual illustration (Safflower plants (Carthamus tinctorius) in semi-arid sandy soil). It explains the idea and does not show study data.

Open full-size image ↗

Effect of Mulching on Safflower

AI-generated conceptual illustration (Safflower plants (Carthamus tinctorius) in semi-arid sandy soil). 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
DPPH (%) and ABTS (%) and more: ACC-14 vs ACC-27 vs ACC-33 vs ACC-41 vs ACC-58
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 ↗

DPPH (%) and ABTS (%) and more: ACC-14 vs ACC-27 vs ACC-33 vs ACC-41 vs ACC-58

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 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Mulched and Unmulched: Flower biomass (g/plant) vs Seed yield (g/plant)
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

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

Open full-size image ↗

Mulched and Unmulched: Flower biomass (g/plant) vs Seed yield (g/plant)

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

View source evidence ↗

Figures & tables

From the original paper
Antioxidant properties of five safflower accessions (petal extracts, mean ± SD, n=9)Table 1Page 2Mulching effect on flower head biomass and seed yield (mean ± SD, n=15)Table 2Page 2Box plot of DPPH radical scavenging activity across five safflower accessions at three Kalahari margin sitesFigure 1Page 2Violin plot of total carbohydrate yield (% dry weight) across four extraction methods for safflower petal tissueFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Safflower has been cultivated for over 4,000 years, originally for the orange-red dye in its petals and later for its seed oil. But the plant's antioxidant chemistry spread across petals, seeds, and even leaves has received serious scientific attention only in the past two decades [1] . The main bioactive compounds include hydroxysafflor yellow A (HSYA), carthamin, and a range of flavonoids that show strong free-radical scavenging capacity in laboratory assays [2] . What remains unclear is how these compounds respond to the stress conditions of semiarid environments, where heat, low soil moisture, and intense solar radiation can either boost or suppress secondary metabolite production depending on the species and the intensity of stress. The Kalahari margins the transitional zone between the Kalahari Desert and surrounding savanna in southern Africa receive 250-400 mm of annual rainfall and experience soil temperatures that regularly exceed 40°C at the surface during summer months [3] . Safflower is already grown in parts of this region as an oilseed crop, but farmers rarely harvest petals for bioactive compound extraction, partly because the economic case hasn't been made and partly because post-harvest handling protocols for petal quality aren't standardized. Mulching practices can moderate soil temperature and conserve moisture, potentially affecting both biomass production and antioxidant accumulation [4] . Machine learning approaches offer a way to predict antioxidant content from easily measured spectral data, bypassing expensive and time-consuming wet chemistry [5] . And callus culture from safflower petal tissue could enable year-round production of antioxidant compounds independent of field conditions, if induction rates are high enough to justify scaling up. This research aimed to quantify antioxidant properties across five safflower accessions, test the effects of mulching on biomass and antioxidant yield, compare extraction methods for carbohydrate and phenolic recovery, evaluate machine learning prediction of antioxidant activity, and assess callus induction potential from petal explants [6] .

Reagents and chemicals DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2'-azinobis(3-ethylbenzothiazoline-6-sulfonic acid)), gallic acid (>98%), ascorbic acid (>99%), Folin-Ciocalteu reagent, sodium carbonate (>99.5%), and methanol (HPLC grade) were obtained from Sigma-Aldrich (St. Louis, MO, USA). MS basal medium powder, 2,4-dichlorophenoxyacetic acid (2,4-D), 6-benzylaminopurine (BAP), agar, and sucrose (tissue culture grade) were from PhytoTechnology Laboratories (Lenexa, KS, USA). All reagents were stored according to manufacturer specifications. Working solutions of DPPH (0.1 mM in methanol) and ABTS (7 mM) were prepared fresh on each analysis day [7] .

Material and Methods

Material and Methods

Material

Five safflower accessions (ACC-14, ACC-27, ACC-33, ACC-41, ACC-58) were sourced from the USDA National Plant Germplasm System. Seeds were sown at three Kalahari margin sites (approximately 23.8-24.6°S, 21.3-22.7°E) in November 2022. Mulching treatments used sorghum stover at 5 t/ha applied at emergence. A handheld spectroradiometer (ASD FieldSpec 4) was used for canopy reflectance measurements at 350-2500 nm wavelength range [8] .

Methods

Field trials followed a split-plot RCBD with mulching as main plot and accession as subplot (three replications, 4 × 3 m plots). Petals were hand-harvested at full bloom, shadedried to 8% moisture, and ground to 40-mesh powder. Seeds were harvested at maturity and dried to 7% moisture. Antioxidant activity was measured by DPPH assay (absorbance at 517 nm after 30 min incubation) and ABTS assay. Total phenolics were determined by Folin-Ciocalteu at 765 nm. Four extraction methods were compared for carbohydrate recovery: Soxhlet (6 h), ultrasonic (40 kHz, 30 min), microwave (300 W, 10 min), and supercritical CO2 (40°C, 200 bar). Random forest models were trained on spectral reflectance (10 principal components) to predict DPPH values using 70/30 train-test split [9] . Callus induction used petal explants on MS medium with 2,4-D (0.5-3.0 mg/L) and BAP (0.5-1.5 mg/L), incubated at 25°C under 16/8 h photoperiod for 28 days [10] . Mulching boosted flower biomass by 14.7% and seed yield by 12.2% (Table 2). Soil temperature at 5 cm depth was 7.6°C lower under mulch, which likely contributed to improved root function and water uptake efficiency.

Table 2. Mulching effect on flower head biomass and seed yield (mean ± SD, n=15)
ParameterMulchedUnmulchedDifference (%)
Flower biomass (g/plant)48.7±4.342.4±5.1+14.7
Seed yield (g/plant)31.2±3.627.8±4.2+12.2
Petal TPC (mgGAE/100g)318.4±22.1297.6±19.7+7.0
Soil temperature at 5cm (°C)34.2±2.141.8±2.7-18.2

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

View original table image
Mulching effect on flower head biomass and seed yield (mean ± SD, n=15)↗ Enlarge
Table 2
Mulching effect on flower head biomass and seed yield (mean ± SD, n=15)

Mulching effect on flower head biomass and seed yield (mean ± SD, n=15)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Results

Results

Comprehensive interpretation

Microwave-assisted extraction yielded the highest carbohydrate recovery (45.1% DW), outperforming Soxhlet (42.3%), ultrasonic (38.7%), and supercritical CO 2 (36.4%).

The random forest model achieved R² = 0.84 and RMSE = 4.7% for predicting DPPH values from spectral reflectance.

Callus induction was highest (78.3%) at 2.0 mg/L 2,4-D combined with 1.0 mg/L BAP, with callus mass reaching 2.8 g per explant after 28 days.

Discussion

The DPPH scavenging range of 68.9-88.4% places Kalahari-margin safflower firmly within the range reported for safflower grown in Iran (65-92%) and India (60-85%), suggesting that the semi-arid stress conditions here don't diminish antioxidant capacity [11] . If anything, ACC-41's 88.4% scavenging rate sits near the upper bound of published values, possibly because moderate heat and water stress trigger flavonoid accumulation as a photoprotective response. The 7.6°C soil temperature reduction under mulch translates directly to reduced root stress and improved nutrient uptake, which may explain the modest 7% increase in petal phenolic content [12] .

The machine learning prediction model (R² = 0.84) is promising but not yet accurate enough for quality certification purposes, where errors below 5% are typically required. Adding leaf chlorophyll fluorescence data or canopy temperature as input features could push accuracy higher [13] . The callus induction rate of 78.3% is competitive with published safflower tissue culture protocols and opens a path toward bioreactor-based antioxidant production that would bypass seasonal field constraints [14] .

Conclusion

Safflower grown along the Kalahari margins showed strong antioxidant properties, with ACC-41 reaching 88.4% DPPH scavenging and 347.2 mg GAE/100 g total phenolics in petal extracts. Mulching with sorghum stover improved both biomass and antioxidant yield by moderating soil temperature. Microwave-assisted extraction was the most efficient method for carbohydrate recovery. Machine learning prediction of antioxidant activity from spectral data reached R² = 0.84, offering a non-destructive screening tool for breeders. Callus culture from petal explants achieved 78.3% induction, supporting the feasibility of in vitro antioxidant production. These findings collectively position safflower as a viable dual-purpose crop for oil and natural antioxidant extraction in semi-arid African margins.

Acknowledgement

Acknowledgements Funding sourcesInternal institutional funding from the Penang Department of Agronomic Sciences supported this work. Institutional supportThe authors acknowledge the Penang Department of Agronomic Sciences for analytical laboratory and tissue culture facility access.

Figures and tables from the paper

Table 1. Antioxidant properties of five safflower accessions (petal extracts, mean ± SD, n=9)
AccessionDPPH (%)ABTS (%)TPC (mgGAE/100g)TFC (mgQE/100g)FRAP (μmol Fe/g)
ACC-1474.3±4.181.2±3.8298.4±18.384.7±7.243.6±3.4
ACC-2781.7±3.687.4±3.2324.8±21.797.3±8.451.2±4.1
ACC-3368.9±4.876.3±4.1271.6±16.972.8±6.338.4±3.7
ACC-4188.4±3.293.1±2.7347.2±19.4108.6±9.158.7±4.6
ACC-5872.6±4.479.8±3.6283.1±15.878.4±7.841.3±3.2

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

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Antioxidant properties of five safflower accessions (petal extracts, mean ± SD, n=9)↗ Enlarge
Table 1
Antioxidant properties of five safflower accessions (petal extracts, mean ± SD, n=9)

Antioxidant properties of five safflower accessions (petal extracts, mean ± SD, n=9)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Box plot of DPPH radical scavenging activity across five safflower accessions at three Kalahari margin sites
Box plot of DPPH radical scavenging activity across five safflower accessions at three Kalahari margin sites↗ Enlarge
Figure 1
Box plot of DPPH radical scavenging activity across five safflower accessions at three Kalahari margin sites

Box plot of DPPH radical scavenging activity across five safflower accessions at three Kalahari margin sites

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Violin plot of total carbohydrate yield (% dry weight) across four extraction methods for safflower petal tissue
Violin plot of total carbohydrate yield (% dry weight) across four extraction methods for safflower petal tissue↗ Enlarge
Figure 2
Violin plot of total carbohydrate yield (% dry weight) across four extraction methods for safflower petal tissue

Violin plot of total carbohydrate yield (% dry weight) across four extraction methods for safflower petal tissue

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

References

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