Integrating Varietal Improvement and Decentralized Processing for Enhancing Mustard Farmer Incomes in India
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Keywords:
Mustard, on-farm varietal evaluation, value addition, farm profitability analysis, decentralized oilseed processingAbstract
A field-based study was conducted to evaluate the agronomic performance and economic viability of two improved mustard (Brassica juncea) varieties, PM 30 and PM 33, under evaluation trials at farmers’ field, and to assess the income enhancement potential of decentralized oil expeller-based value addition in comparison with conventional raw seed marketing. Fifteen on-farm trials were conducted during rabi 2024–25 in Maholi, Palwal (Haryana). PM 30 recorded a significantly higher mean yield (19.55 ± 0.42 q/ha) than the local check (18.50 ± 0.38 q/ha), registering a yield advantage of 7.57% (p = 0.032), while PM 33 showed a non-significant yield increase (19.00 ± 0.65 q/ha). One-way ANOVA confirmed a significant varietal effect (F = 4.21, p = 0.042) with a large effect size (η² = 0.41). Economic analysis revealed a substantial advantage of expeller-based processing over raw sale. The expeller model generated gross returns of ₹1,56,609/ha and net returns of ₹1,07,320/ha, compared with ₹1,04,544/ha and ₹59,433/ha under raw sale, resulting in an additional net income of ₹47,887/ha (80.6% increase). Paired t-tests indicated highly significant differences across all economic indicators (p < 0.001), with very large effect sizes (Cohen’s d = 5.33–10.56). The benefit–cost ratio improved from 2.32 to 3.18, and the incremental B:C ratio (11.47) along with a favorable break-even margin (₹4,178 achieved vs ₹4,541 threshold) demonstrated low financial risk. Correlation (r = 0.890) and regression analyses (R² = 0.955) identified processing adoption and oil price as dominant determinants of profitability. The study conclusively demonstrates that integrating improved varieties with decentralized oil processing offers a robust, scalable pathway for enhancing mustard farm income and strengthening rural value chains.
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