| Autor: |
ASHWINI, T. R., POTDAR, M. P., ARAVIND KUMAR, B. N., PATIL, P. L. |
| Předmět: |
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| Zdroj: |
Applied Ecology & Environmental Research; 2023, Vol. 21 Issue 6, p5233-5245, 13p |
| Abstrakt: |
This study was undertaken for spectral characterization of red leaf and to mitigate leaf reddening in Bt cotton genotypes with different nitrogen management practices through proximal sensors. Field experimentation was carried during Kharif 2019 and 2020 with two genotypes in main plot and eight proximal sensor-based N management practices in sub plot. Spectral characterization of red leaves was recorded through GreenSeeker (NDVI) and SPAD meter (SPAD value) and quantitative estimation of degree of leaf reddening was visualized by intensity of red leaf color at 130 DAS. Genotypes show non-significant (P > .005) difference for NDVI and SPAD value and significant (P < .005) difference for red leaf index (1.03 and 1.59 with First Class and Ajeet 155, respectively). Proximal sensor-based N management practices significantly (P < .0001) influenced spectral values and red leaf index. N supplementation at 1.1-1.5 RI, 81-90% SI and RDF recorded comparable and significantly higher NDVI (0.78, 0.77 and 0.74, respectively) and SPAD value (31.70, 31.23 and 28.72, respectively) as compared to the rest of the treatments. Proximal sensor-based N management practices (1.1-1.5 RI and 81-90% SI) significantly reduced red leaf index (0.18 and 0.23) as compared to RDF (1.12) and N omission (2.23). Interactions were found non-significant. NDVI and SPAD value of red leaf, N content in leaf (%) and seed cotton yields were strongly and negatively correlated with red leaf index. The results showed that the nitrogen supplementation at 1.1-1.5 RI and 81-90% SI reduced the incidence of leaf reddening and also resulted in recording higher spectral values like NDVI and SPAD meter readings. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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