Prediction of optimal nitrogen application rate of rice based on soil test values

This study evaluated the quadratic response plateau (QRP) and quadratic models for 3–5 years, two crop sequence data set with 4, 3 and 5 nitrogen fertilizer application rates in southern, western and eastern India. The quadratic response model predicted a maximum grain yield of 2–13% larger and an o...

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Bibliographic Details
Published in:European journal of agronomy 2006-07, Vol.25 (1), p.71-73
Main Authors: Alivelu, K., Rao, A. Subba, Sanjay, S., Singh, K.N., Raju, N.S., Madhuri, P.
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Biological and medical sciences
cropping sequence
economic analysis
fertilizer rates
fertilizer requirements
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
grain yield
mathematical models
nitrogen
Nitrogen fertilization
nitrogen fertilizers
Nitrogen, phosphorus, potassium fertilizations
Optimum dose
Oryza sativa
plant nutrition
QRP (quadratic response plateau model)
Quadratic model
Residual analysis
rice
seasonal variation
Soil test value
soil test values
Soil-plant relationships. Soil fertility. Fertilization. Amendments
spatial variation
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Summary:This study evaluated the quadratic response plateau (QRP) and quadratic models for 3–5 years, two crop sequence data set with 4, 3 and 5 nitrogen fertilizer application rates in southern, western and eastern India. The quadratic response model predicted a maximum grain yield of 2–13% larger and an optimal N fertilizer rate 2–73% larger than predicted by the quadratic response plateau model. These analyses indicate that the quadratic response plateau model is preferable to the quadratic model for predicting N fertilizer requirements of rice. Economic analyses also indicate that the benefits of using quadratic response plateau can be more than by using quadratic model. Site or season specific knowledge of crop nutrient requirements and nutrient supply from soil will be required in order to achieve maximum yields.
ISSN:1161-0301
1873-7331
DOI:10.1016/j.eja.2005.10.011