On-farm testing of a nutrient management decision-support tool for rice in the Senegal River valley

Saito, Kazuki; Diack, Salif; Dieng, Ibnou; Ndiaye, Mamadou

doi:10.1016/j.compag.2015.06.008

Cited by 58 publications

(63 citation statements)

References 24 publications

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“…The benefits of SSNM-based fertilizer management relative to farmers' fertilizer practices have already been shown in early evaluations of SSNM (Dobermann et al 2002(Dobermann et al , 2004b and recent evaluations of decision support tools for rice (Saito et al 2015;Banayo et al 2018). These studies did not compare SSNM-based fertilizer management to an existing fertilizer recommendation.…”

Section: Introductionmentioning

confidence: 99%

Web-based tool for calculating field-specific nutrient management for rice in India

Sharma

Panneerselvam

Castillo

et al. 2018

Nutr Cycl Agroecosyst

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Site-specific nutrient management (SSNM) can be an alternative to a recommendation for uniform fertilizer use across a rice (Oryza sativa L.) production system within a country or region of a country. We developed a web-based decision support tool named Nutrient Manager for Rice (NMR), which used principles of SSNM to calculate fertilizer N, P, and K rates for individual fields based on a target yield set for each field. It also used expected growth duration of the rice variety, crop establishment method, and age of transplanted seedlings to calculate days after rice establishment for each of three applications of fertilizer N. NMR enabled P rates to match estimated removal of P with harvested grain and crop residue for the target yield set for each field. We compared field-specific fertilizer recommendations from NMR with uniform application of fertilizer provided by an existing blanket fertilizer recommendation for irrigated inbred rice (BFR) and farmer's fertilizer practices (FFP) in on-farm trials conducted in 74 irrigated rice fields across three growing seasons in the Cauvery Delta, Tamil Nadu, India. Grain yield was 0.6-0.7 Mg ha -1 higher (P B 0.05) with NMR than FFP in two of the three seasons, even though total fertilizer cost was comparable or less with NMR. Yield was comparable for NMR and BFR, but NMR reduced fertilizer N and P rates and total fertilizer cost compared to BFR. Use of NMR rather than BFR also had less risk of financial loss for a farmer. The likelihood of financial loss with a switch from FFP to BFR averaged 31%. It reduced to 18% with a switch from FFP to NMR. NMR facilitated the calculation of field-specific fertilizer N, P, and K management practices, which increased fertilizer use efficiency without loss in rice yield compared to a recommended uniform fertilizer management across fields.

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Section: Introductionmentioning

confidence: 99%

Web-based tool for calculating field-specific nutrient management for rice in India

Sharma

Panneerselvam

Castillo

et al. 2018

Nutr Cycl Agroecosyst

View full text Add to dashboard Cite

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“…These techniques increase resource use efficiency and assist in eliminating costs that may otherwise be associated with intensive agricultural production. A variety of new and existing manuals and technological programs and tools focus on enabling this maximization of resources in farm management, many tailored specifically to the developing country context . Such mechanisms can be extremely valuable to the SI application, particularly as telephones, Internet connectivity and technological literacy become more widespread in the developing world.…”

Section: Primary Objectives Of the Si Approachmentioning

confidence: 99%

“…Such mechanisms can be extremely valuable to the SI application, particularly as telephones, Internet connectivity and technological literacy become more widespread in the developing world. These materials can assist in farm system modeling, visualizing increases in income, and optimizing yields and the use of inputs and natural resources, as well as enhancing farmer connectivity to resources and markets …”

Section: Primary Objectives Of the Si Approachmentioning

confidence: 99%

“…A variety of new and existing manuals and technological programs and tools focus on enabling this maximization of resources in farm management, many tailored specifically to the developing country context. 40,41 Such mechanisms can be extremely valuable to the SI application, particularly as telephones, Internet connectivity and technological literacy become more widespread in the developing world. These materials can assist in farm system modeling, visualizing increases in income, and optimizing yields and the use of inputs and natural resources, as well as enhancing farmer connectivity to resources and markets.…”

Section: Maximizing Outputs and Minimizing Costsmentioning

confidence: 99%

“…These materials can assist in farm system modeling, visualizing increases in income, and optimizing yields and the use of inputs and natural resources, as well as enhancing farmer connectivity to resources and markets. 40,41 Agricultural extensification, involving the use of more land (i.e. land that was not previously used for agriculture, such as forested/fallow areas), is often employed to elevate overall crop production.…”

Section: Maximizing Outputs and Minimizing Costsmentioning

confidence: 99%

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On-farm testing of a nutrient management decision-support tool for rice in the Senegal River valley

Cited by 58 publications

References 24 publications

Web-based tool for calculating field-specific nutrient management for rice in India

Web-based tool for calculating field-specific nutrient management for rice in India

Sustainable intensification: a multifaceted, systemic approach to international development

Who drives the digital revolution in agriculture? A review of supply‐side trends, players and challenges

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