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Rice crop response to site variability in a multi-locational trial: A call for site specific management

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Title Rice crop response to site variability in a multi-locational trial: A call for site specific management
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Creator Rao DVKN, Surekha K and Aruna L. 2021
Surekha K
Aruna L
 
Subject Site differences, rice yield, factor analysis, excess duration in nursery, soil test- based crop management
 
Description This is based on the analysis of a multi-locational trial conducted under AICRIP
Yield is a net expression of genotype (G) x environment (E) interactions including management. However, the
segregation of 'E' into respective causes is seldom done while 'G' is a constant. Soil is a component of 'E' with
imminent variability in attributes among multiple locations. Data on yield response of varieties to a set of
treatments in different soils from multi-locational yield maximisation trial under All India Coordinated Rice
Improvement Project were regularly gathered. A dataset pertaining to a trial conducted in Karaikal district of
Puducherry Union Territory was analysed to ascertain the site-specific crop responses with inherent variability
in soils.
Rice varieties, ADT 46, BPT 5204 and CR 1009 were tested for responses at 17 sites with farmer fertiliser
practices (FFP), regional recommended fertiliser dose (RDF) and software, 'Nutrient Expert®' (2016) (NE)
derived fertiliser quantities. Analysis of variance showed that test sites explained 59.3% variability in yield. A
multivariate technique, Factor Analysis extracted two factors, which are linear combinations of soil attributes
those explained 76% of variance in soils. Factor scores classified soils into four groups, owing to variability in
soil properties. Soil texture influenced yield significantly (across varieties and treatments) (R2
= 11.1%). Sites
varied in excess duration in nursery ranging from 2 - 26 days. However, this excess duration reduced number of
panicles m-2 only in CR 1009 (r = -0.328 * *).
General linear model with sites and treatments as fixed factors, their interactions and panicles m-2 as covariate
predicted better (R2
= 90.3%) with their significant contribution to the model. The order of R2
(%) was Sites
(59.3) > Varieties (27.4) > Treatments (13.6%) in explaining variability in yield highlighting site-specific
responses. Mean differences between ADT 46 and BPT 5204; BPT 5204 and CR 1009 were significant. Yield
significantly changed across sites and treatments when fertiliser management shifted from non-specific (FFP) to
site-specific NE based calculations through RDF (region specific). Results of this trial placed emphasis on soil
test-based crop management to realise the uniform best, which clearly is site specific crop management.
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Date 2023-02-16T07:57:50Z
2023-02-16T07:57:50Z
2021-12-31
 
Type Research Paper
 
Identifier Not Available
0474-7615
http://krishi.icar.gov.in/jspui/handle/123456789/76246
 
Language English
 
Relation Not Available;
 
Publisher Association of Rice Research Workers, NRRI Cuttack