Study on Major Disease-insect Incidence of Scented Gobindabhog Rice in New Alluvial Zone of West Bengal

Dibyendu Mahata *

Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal- 741252, India.

Mrityunjay Ghosh

Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal- 741252, India.

B. Panja

Department of Plant Pathology, Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal-741252, India.

K. Karmakar

Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal-741252, India.

S. Banerjee

Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal- 741252, India.

*Author to whom correspondence should be addressed.


Abstract

A comprehensive study on “Improvement of production and storage system for Gobindabhog rice in West Bengal,” comprising two field and one laboratory experiment, was done at Bidhan Chandra Krishi Viswavidyalaya, Kalyani, Nadia, West Bengal, India, during the period of 2010–2012 to find out the optimum planting time, spacing, nutrients, disease, and pest management for scented Gobindabhog rice during the kharif season. Plant height, tiller production, and leaf area index increased consistently with the advancement of crop growth up to panicle exertion, panicle initiation (i.e., 56 DAT), and flowering (i.e., 84 DAT) stages, respectively. The planting date had a significant effect on the incidence of blast disease in Gobindabhog rice during both 2010 and 2011, except at 28 DAT. Delay in planting generally provided a favorable environment for the causal organism (Payricularia oryzae) during the vegetative and reproductive stages of Gobindabhog rice, thereby leading to a greater incidence of delayed crops (25 July, 10 August, and 25 August) than the earlier one (10 July). The susceptibility of the Gobindabhog rice crop to brown spot disease caused by Drechslera oryzae increased progressively with the advancement of crop age from 28 DAT (i.e., active tillering stage) to 84 DAT (i.e., flowering stage). The population of gundhi bug (Leptocorisa acuta) increased steadily from 84 DAT (i.e., 50% flowering) to 112 DAT (maturity stage), irrespective of main and sub-plot treatments as well as years of investigation.

Keywords: Gobindabhog rice, planting date, spacing, disease, insect


How to Cite

Mahata, D., Ghosh, M., Panja, B., Karmakar, K., & Banerjee, S. (2024). Study on Major Disease-insect Incidence of Scented Gobindabhog Rice in New Alluvial Zone of West Bengal. Journal of Experimental Agriculture International, 46(5), 34–39. https://doi.org/10.9734/jeai/2024/v46i52353

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References

Ghosh M, Das B, De DK, Banerjee S, Mahata D, Ghose TK. Morpho-Agronomic and molecular characterization of gobindabhog, a traditional aromatic rice of West Bengal, India. Indian Journal of Plant Genetic Resources. 2018;31(2):185–90.

Ghosh M, Mondal G, Ghose T. Gobindabhog and Tulaipanji: Status, research and scope for export. Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal, India; 2012.

Mandal N, Adak S, Das DK, Sahoo RN, Mukherjee J, Kumar A, et al. Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models. Front Plant Sci. 2023; 14:1067189.

Mishra N, Sharma LP, Choubey G. Prevalence of insect pests on rice in north eastern Madhya Pradesh. Oryza; 2010.

Banerjee S. Development of organic production system for indigenous aromatic rice of West Bengal [Ph.D Thesis]. Bidhan Chandra Krishi Viswavidyalaya; 2011.

Gomez KA, Gomez AA. Statistical procedures for agricultural research. John Wiley & Sons; 1984.

Wang HD, Chen JP, Zhang HM, Sun XL, Zhu JL, Wang AG, et al. Recent rice stripe virus epidemics in Zhejiang province, China, and experiments on sowing date, disease–yield loss relationships, and seedling susceptibility. Plant Dis. 2008; 92(8):1190–6.

Rautaray SK. Effect of planting geometry and fertilizer dose on grain yield and disease incidence in some mid duration rice (Oryza sativa L.) varieties. Arch Agron Soil Sci. 2007;53(3):327–33.

Wi Su-gang, Myeong Cheol-seo, Seong Jun-hong, Gyeong Jae-i, Yong Hwan-i. Outbreak of rice panicle blast in Southern provinces of Korea in 2014. Research in Plant Disease. 2019;25(4):196–204.

Katsantonis D, Kadoglidou K, Dramalis C, Puigdollers P. Rice blast forecasting models and their practical value: A review. Phytopathol Mediterr. 2017;187–216.

Kim Y, Roh JH, Kim HY. Early forecasting of rice blast disease using long short-term memory recurrent neural networks. Sustainability. 2017;10(1):34.

Lee EW, Park SZ. Interpretation on the Epidemic Outbreak of Rice Blast Disease in Korea, 1978. Korean Journal of Crop Science. 1979;24(1):1–10.