INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

  • No. 772, Basant Vihar, Kota

    Rajasthan-324009 India

  • Call Us On

    +91 9784677044

Archives

Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2019, Volume : 7, Issue : 5
First page : (557) Last page : (562)
Article doi: : http://dx.doi.org/10.18782/2320-7051.8408

Forecasting Model for Mango (Mangifera indica) Malformation in New Delhi and Lucknow

I.V. Srinivasa Reddy*, K. Usha, Manish Sreevastv and Bhupinder Singh
Division of Horticulture, Indian Agricultural Research Institute, New Delhi 110012
*Corresponding Author E-mail: kivreddy@yahoo.com
Received: 23.08.2019 | Revised: 11.10.2019 | Accepted: 19.10.2019  

 ABSTRACT

Data related to intensity of mango malformation and weather variables at New Delhi and Lucknow were collected. They were analyzed for their relation and for developing and validation of MLR prediction models. The resultant correlation matrix found less than 0.1 was considered not having relation to malformation intensity with that particular weather variable and was excluded in further multiple linear regression analysis. Data from 1993 to 2000 was used for developing prediction models and are validated by using data from 2001 to 2006 for both FBD (flower bud differentiation) and flowering stages. The percent deviation was calculated which gave good forecasting of disease intensity for all selected malformation prone areas. For Delhi the wind speed, RH2, minimum and maximum temperatures were positively correlated with mango malformation and the MLR models under predicted the disease intensity for both FBD and flowering stages. Lucknow, at flowering stage maximum temperature and minimum temperature showed significant relation with the mango malformation and the MLR model at FBD stage showed a very good estimate whereas for flowering stage it gave reasonable estimate. The model under predicted the disease during FBD stage whereas   it was over predicted at flowering stage.

Keywords: Mango, Malformation, Forecasting, Weather variables.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Srinivasa Reddy, I. V., Usha, K., Sreevastv, M., & Singh, B. (2019). Forecasting model for mango (Mangifera indica) malformation in New Delhi and Lucknow, Ind. J. Pure App. Biosci. 7(5), 557-562. doi: http://dx.doi.org/10.18782/2320-7051.8408




Photo

Photo