Morpho-physicochemical and antioxidant trait diversity of red mulberry (Morus rubra L.) genotypes from northwestern Iran

Red mulberry (Morus rubra L.) is a valuable fruit species rich in bioactive compounds; however, information on genotype-dependent variation in its physicochemical and antioxidant traits compared to other mulberry species remains limited. Northwestern Iran represents an important center of red mulberry diversity, however limited information is available about the diverse physical characteristics, biochemical composition, and antioxidant potential of local genotypes. This study aimed to quantify physicochemical and antioxidant variation among red mulberry genotypes from this region and to identify superior genotypes with high functional potential. Significant genotypic variation (p < 0.01) was observed for all evaluated traits, demonstrating substantial diversity among the studied genotypes. Fruit weight ranged from 1.53 to 3.97 g, geometric mean diameter from 13.05 to 19.78 mm, and marketability coefficient from 52.58 to 63.4, indicating substantial morphological diversity. Soluble solids content and titratable acidity varied markedly among genotypes (TSS: 13.53 to 16.17%; TA: 0.70 to 1.61%), suggesting pronounced genotype-dependent differences in fruit flavor profiles. Antioxidant-related traits showed wide variability, with total phenolic content (TP) ranging from 268.06 to 941.13 mg GAE·100 g⁻¹ FW, total anthocyanin (TAC) from 0.209 to 0.499 mg g⁻¹ FW, and ascorbic acid from 12.95 to 21.16 mg 100 ml⁻¹ FW. Antioxidant activity values also differed significantly (DPPH: 23.12–92.87%; FRAP: 0.929 − 2.86 mg Fe²⁺ SO₄ g⁻¹ FW). Color analysis revealed that hue angle exhibited the strongest positive correlation with antioxidant traits, indicating fruit color as a reliable indirect indicator of antioxidant richness. These results suggest that fruit color attributes may serve as a rapid, indirect indicator of antioxidant potential in red mulberry. The results demonstrate substantial genetic diversity in fruit quality and antioxidant traits among red mulberry genotypes from northwestern Iran. The pronounced variation observed reflects strong genetic and geographical influences on fruit quality and bioactive composition. Genotypes Ru2, Ru3, Ro4, and Ru4 exhibited superior physicochemical attributes and antioxidant contents, highlighting their potential for breeding programs, conservation, and development of antioxidant-rich functional products.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2026-02-17
DOI
https://doi.org/10.1186/s12870-026-08339-7
Primary Topic
Silkworms and Sericulture Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morpho-physicochemical and antioxidant trait diversity of red mulberry (Morus rubra L.) genotypes from northwestern Iran

Hamid Hassanpour, Karim Manda-Hakki, Saman Firouz
BMC Plant Biology
Silkworms and Sericulture Research
article

Morpho-physicochemical and antioxidant trait diversity of red mulberry (Morus rubra L.) genotypes from northwestern Iran

Hamid Hassanpour, Karim Manda-Hakki, Saman Firouz
article en

Abstract

Red mulberry (Morus rubra L.) is a valuable fruit species rich in bioactive compounds; however, information on genotype-dependent variation in its physicochemical and antioxidant traits compared to other mulberry species remains limited. Northwestern Iran represents an important center of red mulberry diversity, however limited information is available about the diverse physical characteristics, biochemical composition, and antioxidant potential of local genotypes. This study aimed to quantify physicochemical and antioxidant variation among red mulberry genotypes from this region and to identify superior genotypes with high functional potential. Significant genotypic variation (p < 0.01) was observed for all evaluated traits, demonstrating substantial diversity among the studied genotypes. Fruit weight ranged from 1.53 to 3.97 g, geometric mean diameter from 13.05 to 19.78 mm, and marketability coefficient from 52.58 to 63.4, indicating substantial morphological diversity. Soluble solids content and titratable acidity varied markedly among genotypes (TSS: 13.53 to 16.17%; TA: 0.70 to 1.61%), suggesting pronounced genotype-dependent differences in fruit flavor profiles. Antioxidant-related traits showed wide variability, with total phenolic content (TP) ranging from 268.06 to 941.13 mg GAE·100 g⁻¹ FW, total anthocyanin (TAC) from 0.209 to 0.499 mg g⁻¹ FW, and ascorbic acid from 12.95 to 21.16 mg 100 ml⁻¹ FW. Antioxidant activity values also differed significantly (DPPH: 23.12–92.87%; FRAP: 0.929 − 2.86 mg Fe²⁺ SO₄ g⁻¹ FW). Color analysis revealed that hue angle exhibited the strongest positive correlation with antioxidant traits, indicating fruit color as a reliable indirect indicator of antioxidant richness. These results suggest that fruit color attributes may serve as a rapid, indirect indicator of antioxidant potential in red mulberry. The results demonstrate substantial genetic diversity in fruit quality and antioxidant traits among red mulberry genotypes from northwestern Iran. The pronounced variation observed reflects strong genetic and geographical influences on fruit quality and bioactive composition. Genotypes Ru2, Ru3, Ro4, and Ru4 exhibited superior physicochemical attributes and antioxidant contents, highlighting their potential for breeding programs, conservation, and development of antioxidant-rich functional products.

BMC Plant BiologyVol. 26(1)
Urmia University (IR)
Life in Land
Openalex Percentile: Top 58%
Silkworms and Sericulture Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.