भाकृअनुप - केन्द्रीय पटसन एवं समवर्गीय रेशा अनुसंधान संस्थान

ICAR - Central Research Institute for Jute and Allied Fibres

ISO 9001 : 2015 Certified Institute

Dr. Asim Kumar Chakraborty

Scientist (SS)

Agricultural Statistics


Effects of plant geometry and densities on the yield and competition of jute ( Corchorus olitorius L.) and mungbean (Vigna radiata L. Wilczek). Evaluation study considered for two types of row arrangements: (1) 1:1 or alternate single row (SR) and (2) 2:2 or alternate double row (DR); where 14 cm wide two rows of a crop formed a narrow strip or a band. The focus in the study have been to optimize produce to achieve a full fibre yield of jute, the main crop (i.e. as much as in sole cropping) with maximization of mungbean seed yield. During pod maturing phase the most limiting resource is the sun light affecting mungbean seed yield significantly. Mungbean plants started perceiving low light stress at its initial flowering stage (35 DAS) when jute plants attain 45-50 cm in height and the degree of stress increases everyday with increased shading from the jute canopy. Height of jute plants reaches around 11, 30, 50, 70, 85 and 300-325 cm, respectively, at 20, 30, 40, 50, 60 and 110-120 days after emergence.


Tel: +91-33-25351932

E-mail Address:

  1. Jute-Mungbean Intercropping: A Statistical Perspective (JST 6.2)
  2. Estimation of Competition effects in jute-mungbean intercropping system

  1. Ghorai AK, Chakraborty AK, Pandit NC, Mondal RK, Biswas CR (2004). Grass weed control in jute by Targa super (quizalofop-ethyl 5% EC). Pestology, 28(2): 31-34.

  2. Chakraborty AK, Ghorai AK, De RK, Chakraborty S, Jha SK, Mitra S, Goswami KK (2013). Expert system for integrated stress management in jute (Corchorus olitorius L. and Corchorus capsularis L.). International Journal of Bio-resource and Stress Management, 4(2): 192-200.

  3. Ghorai AK, De R, Chowdhury H, Majumdar B, Chakraborty AK, Kumar M (2013). Integrated management of weeds in raw jute. Indian Journal of Weed Science, 45(1): 47-50

  4. Saha D, Rana RS, Chakraborty S, Datta S, Kumar AA, Chakraborty AK and Karmakar PG (2017). Development of a set of SSR markers for genetic polymorphism detection and interspecific hybrid jute breeding. The Crop Journal, 5(5): 416-429. DOI:10.1016/j.cj.2017.02.006.

  5. Barman D, Kundu DK, Pal S, Pal S, Chakraborty AK, Jha AK, Mazumdar SP, Saha R, Bhattacharyya, P (2017). Soil temperature prediction from air temperature for alluvial soils in lower Indo-Gangetic plain. International Agrophysics, 31(1): 09-22.

  6. Pal S, Dihidar K, Mandal G, Basak S, Ghosh, A, Chakraborty AK; Pal S (2017). A novel approach in robust estimation of optimum size of plots. International Journal of Agricultural and Statistical Sciences, 13(2): 423-429.