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Progress of Alternaria leaf spot in cotton influenced by weather parameters Bhattiprolu S. L.* Acharya N. G. Ranga Agricultural University, Regional Agricultural Research Station, Lam, Guntur - 522 034 *E-mail: b.sreelakshmi@angrau.ac.in
Online published on 10 September, 2024. Abstract The effect of weather factors on the progress of Alternaria leaf spot in Bt Cotton hybrid Jaadoo BG II was investigated at the Regional Agricultural Research Station, Lam, Guntur during Kharif 2018 and 2019. Disease was scored by adopting a standard scale of 0 to 4 in ten plants tagged randomly to obtain the per cent disease index. Weather parameters were recorded at the Agrometeorological observatory, RARS, Lam, Guntur. Multiple regression equations with independent weather variables were derived using Excel programme to identify the critical parameters. Results of the pooled analysis showed that minimum temperature and evaporation were positively and significantly correlated with per cent disease index. Regression analysis revealed that minimum temperature, morning relative humidity and evaporation as critical factors causing variability of 86.7% in per cent disease index. These results were discussed with previous equations realized under given environmental conditions. Top Keywords Alternaria leaf spot, Cotton, Regression analysis, Weather parameters. Top | |
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