Optimization of response and sufficiency index in Bt cotton (Gossypium spp.) through optical sensor based nitrogen management

T R ASHWINI; M P POTDAR; B N ARAVIND KUMAR; P L PATIL; P JONES NIRMALNATH

doi:10.56093/ijas.v92i10.118837

Authors

T R ASHWINI University of Agricultural Sciences, Dharwad, Karnataka 580 005, India
M P POTDAR University of Agricultural Sciences, Dharwad, Karnataka 580 005, India
B N ARAVIND KUMAR University of Agricultural Sciences, Dharwad, Karnataka 580 005, India
P L PATIL University of Agricultural Sciences, Dharwad, Karnataka 580 005, India
P JONES NIRMALNATH University of Agricultural Sciences, Dharwad, Karnataka 580 005, India

https://doi.org/10.56093/ijas.v92i10.118837

Keywords:

Bt cotton, Optical sensor, Real time nitrogen management, Response index (RI), Sufficiency index (SI)

Abstract

To break the productivity barriers in Bt cotton (Gossypium spp.), adoption of optical sensor based nitrogen (N) management practices is the need of the hour. In light of this, a field experiment was conducted at the main Agricultural Research Station, Dharwad, Karnataka during rainy (kharif) season 2019 and 2020 to optimize the response index (RI) and sufficiency index (SI) for real time nitrogen management in Bt cotton through optical sensors. Experiment was conducted in split plot design with 16 treatment combinations having 2 genotypes (main plot) and 8 N management practices (subplot). Pooled data indicated that non-significant (P=0.3480) difference in seed cotton yield was observed with genotypes (First Class and Ajeet 155 recorded 3313 and 3159 kg/ha, respectively). Seed cotton yields varied significantly (P<.0001) due to different optical sensor-based N management practices. N supplementation at 1.1–1.5 RI and 81–90% SI (4460 and 4412 kg/ha, respectively) produced higher but on par yields with RDF (4386 kg/ha) with saving of 15 kg N through sensors during both the years. Interactions were found non-significant (P>.9999). Similarly, N supplementation at 1.1–1.5 RI and 81–90% SI recorded significantly (P<.0001) higher number of good and bad opened bolls, total number of bolls, sympodials, seed cotton yield per plant, boll weight, lint index and harvest index but was found on par with RDF.

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