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International Journal of Research in Agronomy 2025; 8(2): 135-140
E-ISSN: 2618-0618
P-ISSN: 2618-060X
© Agronomy
www.agronomyjournals.com
2025; 8(2): 135-140
Received: 02-11-2024
Accepted: 07-12-2024
Anil Kumar Keerthi
Department of Soil Science and
Agricultural Chemistry, College of
Agriculture, Dharwad University
of Agricultural Sciences, Dharwad,
Karnataka, India
Rajakumar GR
Associate Professor, Department of
Soil Science and Agricultural
Chemistry, College of Agriculture,
University of Agricultural Sciences,
Dharwad, Karnataka, India
Jagadeesh BR
Professor, Department of Soil
Science and Agricultural
Chemistry, College of Agriculture,
University of Agricultural Sciences,
Dharwad, Karnataka, India
Priya P
Assistant Professor,
Department of Agronomy, College
of Hnumanmatti, University of
Agricultural Sciences, Dharwad,
Karnataka, India
Diwan JR
Professor, Department of Genetics
and Plant Breeding, College of
Agriculture, University of
Agricultural Sciences, Dharwad,
Karnataka, India
Corresponding Author:
Anil Kumar Keerthi
Department of Soil Science and
Agricultural Chemistry, College of
Agriculture, Dharwad University
of Agricultural Sciences, Dharwad,
Karnataka, India
Assessing different SSNM techniques to recommend
optimum fertilizer dose under transplanted rice (Oryza
sativa L.)
Anil Kumar Keerthi, Rajakumar GR, Jagadeesh BR, Priya P and Diwan
JR
DOI: https://doi.org/10.33545/2618060X.2025.v8.i2c.2542
Abstract
An experimental study was conducted during kharif 2023 at the Agricultural Research Station, Mugad, to
evaluate different Site-Specific Nutrient Management (SSNM) techniques for determining the optimum
fertilizer dose for transplanted rice. The split-plot design included three replications, with two rice varieties,
Mugad Siri and Mugad Sugandha, as the main plots and various SSNM-based fertilizer rates as subplots.
These subplots included Soil Test Crop Response (T2), Rice Crop Manager (T3), Nutrient Expert (T4), the
Recommended Package of Practices (T1), and an absolute control (T5). The results indicated that the RCM
(web source) treatment led to superior growth, nutrient uptake (124.22 kg ha
-1
N, 27.73 kg ha
-1
P, and
94.71 kg ha
-1
K), grain yield (51.33 q ha
-1
), straw yield (71.25 q ha
-1
) and economics compared to other
treatments, with Nutrient Expert (software) performing nearly as well as RPP. Mugad Sugandha had a
higher grain yield (42.94 q ha
-1
), phosphorus uptake (22.05 kg ha
-1
) and economics, while Mugad Siri
showed higher nitrogen uptake (103.19 kg ha
-1
), similar potassium uptake, and higher straw yield (65.83 q
ha
-1
). The RCM treatment was effective for Mugad Sugandha in increasing phosphorus uptake grain yield
and economics and for Mugad Siri in enhancing nitrogen and potassium uptake and straw yield. Among the
SSNM treatments, RCM was significantly superior.
Keywords: Rice crop manager, nutrient expert, soil test crop response, recommended package of practice
Introduction
Rice (Oryza sativa L.) is indeed a crucial staple food crop globally and particularly in India,
with over 90 percent of the world
`
s rice production and consumption taking place in Asia (Sun et
al., 2022)
[14]
. Rice grown in varying climates with temperature ranging from 17 to 33 °C and
rainfall of 100 to 5100 mm with an altitude of 2600 meters from mean sea level. The global
demand for rice is indeed growing every year, and it is estimated that, by 2050, the requirement
will be around 584 million tonnes (Samal et al., 2022)
[11]
. Growth and yield of rice are heavily
dependent on various agronomic practices, and nutrient management is one of the most critical
management practices that can significantly impact yield. If nutrients are not supplied in
adequate amounts, it can lead to yield reduction and even crop failure. While fertilizers have
undoubtedly boosted rice yields, their excessive application poses significant environmental and
economic threats. This creates a dependence on ever-increasing fertilizer inputs, leading to
diminishing returns and potential economic burdens on farmers. Therefore, it is essential to
ensure that rice crops receive the necessary nutrients at the right time and in the right amount to
achieve optimal growth and yield.
Materials and Methods
The experiment was conducted at the Agricultural Research Station (ARS), Mugad, during
kharif 2023, Soil samples from the targeted plot were collected and analyzed for NPK status.
The experiment followed a split-plot design with three replications, including two rice varieties:
Mugad Siri (M
1
) and Mugad Sugandha (M
2
) as main plots, and various Site-Specific Nutrient
Management (SSNM) treatments as subplots.