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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 362-367
DOI: https://doi.org/10.20546/ijcmas.2018.707.044


Normalized Difference Vegetation Index and Growth Traits as Influenced by Optical Sensor based N Management in Irrigated Wheat
Rekha Ratanoo1*, Satish Kumar2 and A.K. Dhaka2
1Punjab Agricultural University, Ludhiana, Punjab (141001), India
2CCS Haryana Agricultural University, Hisar, Haryana (125001), India
*Corresponding author
Abstract:

Nitrogen management strategies developed so far are mainly based on soil tests targeted yield and generally N recommendations are made for large areas which certainly do not take into account the field to field and season to season variability. Nitrogen being the most dynamic nutrient, we have to develop real time N management strategies which are meant by applying the N doses to the crop as and when needed. Normalised difference vegetation index (NDVI) based on canopy reflectance in near-infra red and red spectral band is a potential tool to assess N status as well as crop growth vigour in terms of dry matter accumulation, leaf area index and to estimate of the in-season yield potential, thereby assessing the N requirement. Total dry matter at different crop growth stages was determined from destructive sampling. Leaf area index and plant height were also measured at different crop growth stages. NDVI values were collected using GreenSeeker optical sensor. Grain yield from each treatment was measured at harvest. NDVI predicted crop growth traits at 90 DAS more closely as compared to other stages generally and predictive capacity for LAI was more than that for dry matter accumulation. In-season yield estimation was also better at later stages as compared to earlier stages.


Keywords: Wheat, Optical sensor, NDVI, LAI, Dry matter accumulation
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How to cite this article:

Rekha Ratanoo, Satish Kumar and A.K. Dhaka. 2018. Normalized Difference Vegetation Index and Growth Traits as Influenced by Optical Sensor based N Management in Irrigated Wheat.Int.J.Curr.Microbiol.App.Sci. 7(7): 362-367. doi: https://doi.org/10.20546/ijcmas.2018.707.044