Typology-based evaluation of Nutrient Expert® for sustainable maize intensification in smallholder farms of eastern India

Smallholder maize systems in South Asia face challenges of low productivity, inefficient fertilizer use, and rising environmental footprints. Decision-support tools (DST) such as Nutrient Expert® (NE®), built on 4R nutrient stewardship principles, offer promise for achieving sustainable intensification (SI), yet their performance across diverse farm types remains poorly understood. This study assessed NE®-guided fertilization against farmer fertilizer practices (FFP) across 112 farms in four agro-climatic zones of southern West Bengal, India. Farm typologies were delineated using principal component and cluster analysis, resulting in seven distinct farm types (FT) reflecting socio-economic and biophysical heterogeneity. Paired on-farm trials compared NE® and FFP for multiple indicators, including yield, economics, energy use, and greenhouse gas (GHG) emissions. Results show that NE® reduced N, P, and K use by 66%, 93%, and 56%, respectively, while increasing yields across all farm types, with the highest gains in FT-4 (71.1%), FT-2 (63.0%), and FT-7 (60.3%). Gross return above fertilizer cost (GRF) improved in nearly all cases, with FT-2 achieving a 90% gain. Energy productivity and net energy gain increased in most farm types, while yield-scaled GHG emissions declined in 88.4% of farms. However, benefits were uneven: FT-3 and FT-5, constrained by setting higher yield targets, coupled with poor resource endowment and weak yield response, showed limited improvements. Thin-plate spline regression further identified farm-type–specific sustainability frontiers, indicating untapped potential for SI beyond current NE® yield targets. Overall, the findings demonstrate the utility of NE® in tailoring realistic yield targets for DST and nutrient management across heterogeneous farm systems, while also highlighting the importance of typology-based scaling strategies. • NE improved maize yield, profit, and energy efficiency and reduced GHG emissions compared to farmer fertilizer practices • Fertilization using NE achieved highest energy efficiency and lowest GHG emissions in input intensive, resource-rich farms • NE® tool largely achieved normative standards of economic and environmental outcomes from maize • NE® can further improve maize yield across all farm types • Typology-based scaling is vital for sustainable intensification in South Asia

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Journal
Farming System
Published
2025-12-01
DOI
https://doi.org/10.1016/j.farsys.2025.100193
Citations
1
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
1.19
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article

Typology-based evaluation of Nutrient Expert® for sustainable maize intensification in smallholder farms of eastern India

Kaushik Majumdar, Krishnendu Ray, Hirak Banerjee, Sudarshan Dutta et al.
1 citations
Farming System
Soil Carbon and Nitrogen Dynamics
1.19
article

Typology-based evaluation of Nutrient Expert® for sustainable maize intensification in smallholder farms of eastern India

Kaushik Majumdar, Krishnendu Ray, Hirak Banerjee, Sudarshan Dutta, Jagadish Timsina, Rupak Goswami, Somsubhra Chakraborty
article en
1 citations

Abstract

Smallholder maize systems in South Asia face challenges of low productivity, inefficient fertilizer use, and rising environmental footprints. Decision-support tools (DST) such as Nutrient Expert® (NE®), built on 4R nutrient stewardship principles, offer promise for achieving sustainable intensification (SI), yet their performance across diverse farm types remains poorly understood. This study assessed NE®-guided fertilization against farmer fertilizer practices (FFP) across 112 farms in four agro-climatic zones of southern West Bengal, India. Farm typologies were delineated using principal component and cluster analysis, resulting in seven distinct farm types (FT) reflecting socio-economic and biophysical heterogeneity. Paired on-farm trials compared NE® and FFP for multiple indicators, including yield, economics, energy use, and greenhouse gas (GHG) emissions. Results show that NE® reduced N, P, and K use by 66%, 93%, and 56%, respectively, while increasing yields across all farm types, with the highest gains in FT-4 (71.1%), FT-2 (63.0%), and FT-7 (60.3%). Gross return above fertilizer cost (GRF) improved in nearly all cases, with FT-2 achieving a 90% gain. Energy productivity and net energy gain increased in most farm types, while yield-scaled GHG emissions declined in 88.4% of farms. However, benefits were uneven: FT-3 and FT-5, constrained by setting higher yield targets, coupled with poor resource endowment and weak yield response, showed limited improvements. Thin-plate spline regression further identified farm-type–specific sustainability frontiers, indicating untapped potential for SI beyond current NE® yield targets. Overall, the findings demonstrate the utility of NE® in tailoring realistic yield targets for DST and nutrient management across heterogeneous farm systems, while also highlighting the importance of typology-based scaling strategies. • NE improved maize yield, profit, and energy efficiency and reduced GHG emissions compared to farmer fertilizer practices • Fertilization using NE achieved highest energy efficiency and lowest GHG emissions in input intensive, resource-rich farms • NE® tool largely achieved normative standards of economic and environmental outcomes from maize • NE® can further improve maize yield across all farm types • Typology-based scaling is vital for sustainable intensification in South Asia

Farming SystemVol. 4(2)
Bidhan Chandra Krishi Viswavidyalaya (IN), Indian Institute of Technology Kharagpur (IN), Ramakrishna Mission Vivekananda Educational and Research Institute (IN), Worldwide Clinical Trials (United States) (US), Université Mohammed VI Polytechnique (MA)
Openalex Percentile: Top 15%
Soil Carbon and Nitrogen Dynamics
1.19
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