Forewarning model development for mustard aphid (Lipaphis erysimi Kalt.) at Bharatpur and Hisar

Authors

  • MEHNAJ THARRANUM A Agromet Advisory Services Division, India Meteorological Department, New Delhi.
  • Y. P. SINGH Crop Science Division, ICAR, New Delhi.
  • BASANT K. KANDPAL ICAR Research Complex for NEH Region, Lembucherra, Tripura
  • K. K. SINGH Agromet Advisory Service Division, India Meteorological Department-New Delhi
  • AVINASH CHANDRA PANDEY K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Allahabad (UP)

DOI:

https://doi.org/10.54386/jam.v19i4.602

Keywords:

Aphid,, apterous,, nymph,, thermal time, forewarning model

Abstract

The weekly aphid population on timely sown mustard crop and daily weather parameters recorded at ICAR-Directorate of Rapeseed–Mustard Research, Bharatpur and Hisar stations, during rabi seasons of 2003-04 to 2013-14 were used to develop forewarning model for aphid. In most of the cases, the appearance of population and its peak activity occurred during 51 standard meteorological week (SMW) and 8 SMW. The study revealed that the thermal time or growing degree days (GDD) consistently explained the aphid multiplication significantly in all seasons. The impact of other weather parameters on pest population was observed to be significant only in some seasons. The aphid population increased exponentially with increase in GDD. Further, the exponential coefficient varied among the varieties. The population build up was compared with the model predicted values in three common species (Brassica
juncea, B. rapa ssp. sarson and B. napus) grown at two stations. The results revealed that the predicted values derived using the model, were in close agreement with those of the observed.

Downloads

Published

01-12-2017

How to Cite

MEHNAJ THARRANUM A, Y. P. SINGH, BASANT K. KANDPAL, K. K. SINGH, & AVINASH CHANDRA PANDEY. (2017). Forewarning model development for mustard aphid (Lipaphis erysimi Kalt.) at Bharatpur and Hisar. Journal of Agrometeorology, 19(4), 334–341. https://doi.org/10.54386/jam.v19i4.602

Issue

Vol. 19 No. 4 (2017): December

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

    Most read articles by the same author(s)