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M. S. Ansari , R. K. Mahey and K. R. Young

Spectral Indices and Agronomic Variables Relationship of Cotton ( Gossypium sps.) under Sowing Dates and Nitrogen Levels. M. S. Ansari , R. K. Mahey and K. R. Young. MAP INDIA 2008. Objectives.

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M. S. Ansari , R. K. Mahey and K. R. Young

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  1. Spectral Indices and Agronomic Variables Relationship of Cotton (Gossypium sps.) under Sowing Dates and Nitrogen Levels M. S. Ansari, R. K. Mahey and K. R. Young MAP INDIA 2008

  2. Objectives • To correlate the spectral indices and agronomic variables of cotton crop under different sowing dates and nitrogen levels

  3. Materials and Methods

  4. Layout and Treatments • Site : Punjab Agricultural University Ludhiana, Punjab • Design : Split-plot • Replication : 3 • Treatment Main plot Cotton species : American cotton (Gossypium hirsutum) cv. F 864 Desi cotton (G. arboreum) cv. LD 327 Sowing dates : May 1 and May 29, 1997 Sub-plot Nitrogen levels: 0, 40, 80, 120 and 160 N kg/ha

  5. Data measurements • Spectral data: Instrument:- Multiband Ground Truth Radiometer (GTR 0-0.4) Band Used:- Red (R) band (625-689 nm) Near Infrared (NIR) band (760-897nm) Interval:- Fortnightly Position:- Elevated 1 meter vertically above the top of the crop canopy surface

  6. Biometrical data • Agronomic variables:- Plant height, leaf area index (LAI), Total dry matter, Dry matter partitioning and chlorophyll content • Yield attributes:- Number of Flower, Opened Boll, Unopened Boll, Total Boll; Boll wt, Seed Cotton Yield

  7. Statistical Analysis • Correlations against NDVI & Radiance Ratio (RR) • NDVI = (NIR-R)/(NIR+R) • RR= NIR/R • Regressions on higher correlations • Data from 2nd sowing used to validate regressions from 1st sowing data

  8. Results and Discussions

  9. Correlations between RR or NDVI and plant attributes pooled across Sowing Date for American Cotton

  10. Correlations between RR or NDVI and plant attributes pooled across Sowing Date for (Desi Cotton)

  11. Correlations between RR or NDVI and plant attributes pooled across N Levels for American Cotton

  12. Correlations between RR or NDVI and plant attributes pooled across N Levels for Desi Cotton

  13. Regression and validated prediction models for the agronomic parameters with spectral indices

  14. Fig. 1 (a) LAI regression model against Radiance Ratio (RR) of American cotton from the 1st Sowing date (1 May 1997) data set and (b) the predicted LAI from the test data of 2nd sowing date (29 May 1997) data.

  15. Comparison of linear correlation between spectral indices (RR and NDVI) and seed cotton yield and yield attributes under sowing dates ( N = 21)

  16. Comparison of linear correlation between spectral indices (RR and NDVI) and seed cotton yield and yield attributes under Nitrogen Levels ( N = 12)

  17. Correlation between date wise spectral parameters (RR or NDVI) and seed cotton yield of American cotton ( N = 15)

  18. Correlation coefficient between date wise spectral parameters (RR or NDVI) and seed cotton yield of Desi cotton ( N = 15)

  19. Conclusions • LAI is linearly correlated with RR for American cotton and multi-linearly correlated with NDVI for Desi cotton under both sowing date and N level. • Plant height, TDM, SDM, LDM and RootDM are quadratically correlated with NDVI under sowing date and N level for both cotton species. • Chlorophyll content is correlated quadratically with NDVI under sowing dates and with RR under N levels for both cotton species. • LAI of American cotton could be predicted in linear model with RR.

  20. Conclusions • Plant height, TDM, SDM, LDM, RootDM and chlorophyll content could be predicted in quadratic model with NDVI. • Seed cotton yield is high correlated with NDVI in D1 Sowing date; and O & 120 Kg N/ha has more ‘r’ value. • Flower no, Open boll, unopened boll and total boll are linearly correlated with RR with N levels • Seed cotton yield is highly correlated quadratically with RR in American cotton and with NDVI in Desi cotton before and after the 125 DAS (maximum vegetative growth period)

  21. Thank you

  22. Weather parameters during the crop growth season

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