Strategies for nutrient management in irrigated and rainfed lowland rice systems

Strategies for nutrient management in irrigated and rainfed lowland rice systems In this paper we review key issues determining nutrient management strategies in irrigated and rainfed lowland riceland and we present two examples of site-specific nutrient management (SSNM) strategies. First, a framework for SSNM in irrigated rice is described, where attaining maximum economical yield is the priority of farmers and SSNM practices must be tailored to the large between-field differences in indigenous nutrient supply. The iterative procedure proposed includes: (1) estimation of the potential indigenous supplies of N (INS), P (IPS), and K (IKS, all in kg ha-1) and diagnosis of other nutritional disorders in year one; (2) estimation of a field- or farm-specific recommendation for fertilizer use based on nutrient interactions and economic yield target; (3) optimization of timing and amount of applied N based on actual plant growth; (4) estimation of the change in INS, IPS and IKS based on the nutrient balance after harvest; and (5) use of the adjusted INS, IPS, and IKS as model inputs for the subsequent rice crop. In a second example we discuss the SSNM strategy that is being developed for rainfed rice farmers in Cambodia. Rainfed lowland rice farmers give priority to reducing risk and their ability to invest in cost-intensive innovative technologies is limited. Farmers' knowledge and experience become vital for the efficient management of nutrients in these environments. In our approach, technologies are generated and tested through research at selected representative sites. Extrapolation and site-specific application of new nutrient management technologies is then supported through a new agronomic soil classification and probabilistic modeling to account for farmer's knowledge and experience. The agronomic soil classification system contains three hierarchical levels and focuses on soil description in the field with relevance to nutrient management. Based on this, preliminary soil-specific fertilizer recommendations for rice have been worked out. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nutrient Cycling in Agroecosystems Springer Journals

Strategies for nutrient management in irrigated and rainfed lowland rice systems

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Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Environment; Soil Science & Conservation
ISSN
1385-1314
eISSN
1573-0867
D.O.I.
10.1023/A:1009795032575
Publisher site
See Article on Publisher Site

Abstract

In this paper we review key issues determining nutrient management strategies in irrigated and rainfed lowland riceland and we present two examples of site-specific nutrient management (SSNM) strategies. First, a framework for SSNM in irrigated rice is described, where attaining maximum economical yield is the priority of farmers and SSNM practices must be tailored to the large between-field differences in indigenous nutrient supply. The iterative procedure proposed includes: (1) estimation of the potential indigenous supplies of N (INS), P (IPS), and K (IKS, all in kg ha-1) and diagnosis of other nutritional disorders in year one; (2) estimation of a field- or farm-specific recommendation for fertilizer use based on nutrient interactions and economic yield target; (3) optimization of timing and amount of applied N based on actual plant growth; (4) estimation of the change in INS, IPS and IKS based on the nutrient balance after harvest; and (5) use of the adjusted INS, IPS, and IKS as model inputs for the subsequent rice crop. In a second example we discuss the SSNM strategy that is being developed for rainfed rice farmers in Cambodia. Rainfed lowland rice farmers give priority to reducing risk and their ability to invest in cost-intensive innovative technologies is limited. Farmers' knowledge and experience become vital for the efficient management of nutrients in these environments. In our approach, technologies are generated and tested through research at selected representative sites. Extrapolation and site-specific application of new nutrient management technologies is then supported through a new agronomic soil classification and probabilistic modeling to account for farmer's knowledge and experience. The agronomic soil classification system contains three hierarchical levels and focuses on soil description in the field with relevance to nutrient management. Based on this, preliminary soil-specific fertilizer recommendations for rice have been worked out.

Journal

Nutrient Cycling in Agroecosystems – Springer Journals

Published: Sep 30, 2004

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