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Current IssueEditorial BoardOnline First Articles
Indian Journal of
Agricultural Research
Print ISSN: 0367-8245
Online ISSN: 0976-058X
NASS Rating
5.60
SJR
0.217
CiteScore
0.595

Chief Editor:
V. Geethalakshmi
Tamil Nadu Agricultural University Coimbatore, INDIA
Frequency:Monthly
Indexing:
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Go...

Research Article

Indian Journal of Agricultural Research, volume 51 issue 6 (december 2017) : 615-618

Reflectance estimation in cereal/pea intercropping system based on numerical images analysis method   

C. Benider, T. Madani, H.Bouzerzour, A. Guendouz
1Faculty of Life and Natural Sciences, Ecology and Plant Biology Department, VRBN Lab, University of Ferhat Abbas, Setif-1, Algeria.
Cite article:- Benider C., Madani T., H.Bouzerzour, Guendouz A. (2017). Reflectance estimation in cereal/pea intercropping system based on numerical images analysis method . Indian Journal of Agricultural Research. 51(6): 615-618. doi: 10.18805/IJARe.A-289.

ABSTRACT

A Field experiment was carried out during the 2015-2016 growing season at Sersour experimental farm, located in the semi-arid region of Sétif (Algeria). The aim of this study was to evaluate the efficiency of using the numerical image analysis approach to estimate biomass and senescence by mean of appropriate software, the Mesurim Pro (Version 3.3). The results showed a significant difference between leaf reflectance at Red, Green and Blue light; results also registered a positive and significant correlation between leaf reflectance at red and blue, and senescence (r=0.78, r=0.50, respectively). This relationship between senescence and leaf reflectance indicate that the increase in leaf reflectance during senescence stage is due to degradation of leaf chlorophyll content. Over all, the numerical image analysis was very suitable approach to estimate reflectance of vegetal cover and the variation of some physiological traits. 

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