Skip to content
Research Article Open access CC BY 4.0

Biochemical Evaluation of Diverse Wood Apple (Feronia limonia L.) Genotypes under Tamil Nadu Conditions

Mohamed Jassim J, Gurudivya P, Sankar C, Raja V, Sundarrajan R V, Pesala Sudheer Kumar Reddy, Thamizhvanan A, Aravind S

International Journal of Plant & Soil Science · pp. 354–361 · Published 31 Jul 2025

10.9734/ijpss/2025/v37i85637

Abstract

Aim: Wood apple (Feronia limonia L.) is a hardy, underutilized indigenous fruit tree known for its exceptional adaptability to harsh agro-climatic conditions, including drought, salinity, and degraded soils. Despite its rich nutritional and medicinal profile comprising vitamins, minerals, phenolic compounds, and pectin wood apple has seen limited attention in terms of systematic breeding, biochemical evaluation, and commercial cultivation. In the context of growing demand for nutritious, climate-resilient fruit crops and the need for value addition in lesser-known species, a deeper understanding of its genetic variability in quality traits is critical. Thus, this study was undertaken to explore the genetic diversity in key biochemical traits among selected wood apple genotypes with the aim of identifying elite lines suitable for varietal development, industrial processing, and nutritional enhancement. Methodology: A field evaluation was conducted at the Department of Fruit Science, Horticultural College and Research Institute, TNAU, Periyakulam, Tamil Nadu during 2019-2024. A total of nine genotypes (WFL-01 to WFL-09), shortlisted from prior germplasm collections based on preliminary quality traits, were subjected to detailed biochemical assessment under Randomized Complete Block Design (RCBD) with three replications Results: The current shows significant variability among the genotypes for quality parameters such as total soluble solids (TSS) ranging from 13.4 - 15.0 °Brix, acidity (2.40 - 3.60 %), TSS/acidity ratio (3.72 - 7.00), ascorbic acid (13.8 - 16.5 mg 100 g-1), calcium (130 - 245 mg 100 g-1), potassium (670 - 740 mg 100 g-1), pectin content (4.70 - 5.40 %), total sugars (1.83 - 2.38 %), reducing sugars (0.96 - 1.29 %), and non-reducing sugars (0.85 - 1.06 %). Conclusion: The present five-year study (2019–2024) revealed significant genetic variability among nine wood apple (Feronia limonia L.) genotypes. Among the genotypes, WFL-03 consistently recorded superior performance across all key quality traits, with TSS (15.0 °Brix), the lowest acidity (2.4 %), the highest TSS/acidity ratio (7.0), highest ascorbic acid (16.5 mg 100 g-1), and highest pectin content (5.40 %), making it highly suitable for varietal development and commercial processing applications such as value-added products, nutraceutical formulations and functional foods. Its favorable sugar profile also indicates its acceptability for fresh consumption and industrial use. The observed variability highlights the genetic potential for crop improvement programs aimed at enhancing nutritional quality and promoting wood apple as a climate-resilient, underutilized fruit crop with applications in health, food, and sustainable agriculture.

Wood apple genotypes evaluation biochemical traits

Cited by 2

Morphometric trait analysis and machine learning-based yield modeling in wood apple (Feronia limonia L.)

Vikas Yadav, Daya Shankar Mishra, Jagadish Rane · BMC Plant Biology · 2025

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.