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http://krishi.icar.gov.in/jspui/handle/123456789/34494
Title: | Predicting wheat grain and biomass yield using canopy reflectance of booting stage |
Other Titles: | Not Available |
Authors: | Sanatan Pradhan K.K. Bandyopadhyay Rabi Narayan Sahoo Vinay Kumar Sehgal Ravender Singh Vinod Kumar Gupta D.K. Joshi |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute |
Published/ Complete Date: | 2014-05-14 |
Project Code: | Not Available |
Keywords: | Remote Sensing Wheat Reflectance Water Nitrogen |
Publisher: | Springer |
Citation: | Pradhan, S., Bandyopadhyay, K.K., Sahoo, R.N., Sehgal, V.K., Singh, R., Gupta, V.K., Joshi, D.K. Predicting Wheat Grain and Biomass Yield Using Canopy Reflectance of Booting Stage. J Indian Soc Remote Sens 42, 711–718 (2014). https://doi.org/10.1007/s12524-014-0372-x |
Series/Report no.: | Not Available; |
Abstract/Description: | Field experiment was conducted in a sandy loam soil of Indian Agricultural Research Institute, New Delhi during the year 2011–13 to see the effect of irrigation, mulch and nitrogen on canopy spectral reflectance indices and their use in predicting the grain and biomass yield of wheat. The canopy reflectances were measured using a hand held ASD FieldSpec Spectroradiometer at booting stage of wheat. Four spectral reflectance indices (SRIs) viz. RNDVI (Red Normalized Difference Vegetation Index), GNDVI (Green Normalized Difference Vegetation Index), SR (Simple Ratio) and WI (Water Index) were computed using the spectral reflectance data. Out of these four indices, RNDVI, GNDVI and SR were significantly and positively related with the grain and biomass yield of wheat whereas WI was significantly and negatively related with the grain and biomass yield of wheat. Calibration with the second year data showed that among the SRIs, WI could account for respectively, 85 % and 86 % variation in grain and biomass yield of wheat with least RMSE (395 kg ha−1 (15 %) for grain yield and 1609 kg ha−1 (20 %) for biomass yield) and highest d index (0.95 for grain yield and 0.91 for biomass yield). Therefore it can be concluded that WI measured at booting stage can be successfully used for prediction of grain and biomass yield of wheat. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of the Indian Society of Remote Sensing |
NAAS Rating: | 7 |
Volume No.: | 42(4) |
Page Number: | 711-718 |
Name of the Division/Regional Station: | Division of Agricultural Physics |
Source, DOI or any other URL: | https://doi.org/10.1007/s12524-014-0372-x |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34494 |
Appears in Collections: | CS-IARI-Publication |
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