Evaluation of research articles published in the Journal of Agrometeorology (1999-2022)

Authors

  • VYAS PANDEY President, Association of Agrometeorologists, Anand Agricultural University, Anand 388110, Gujarat, India

DOI:

https://doi.org/10.54386/jam.v25i1.2017

Keywords:

Online system, impact factors, citations, crop-weather relationship, crop modelling, remote sensing

Abstract

This article evaluates the research papers published in the Journal of Agrometeorology which started in 1999 as a six-monthly publication appearing in June and December and become a quarterly publication appearing in March, June, September and December in 2017. Initially, the journal was being printed on A5 size paper which was switched over to international A4 size glossy paper in 2008. In addition to the regular issues, the special issues of the journal were also brought out from the selected papers of seminars/symposia organized by the Association of Agrometeorologists from time to time. For evaluation, only the articles published in the regular issues of the journal were considered. The articles published in the special issues have been excluded in the analysis.

Out of 1353 articles published in the journal during the period of evaluation (1999–2022), 931 articles were published as research articles, including editorials, and the rest (422) were as short communications. Only 56 articles were contributed by the foreign authors. Among the centers, the highest contribution of articles was from New Delhi (113 articles) followed by Ludhiana (100), Anand (93), Hyderabad (72) and Hisar (51). State wise, the maximum number of articles were from Gujarat (166) followed by Punjab (159), New Delhi (113) and Maharashtra (98). Qualitatively, the number of articles on crop-weather relationship studies (206) were the highest followed by articles on agroclimatic analysis (172). The introduction of online system has not only increased the visibility of the journal globally, but also saved the time in processing the articles. The acceptance rate of articles is only 20 per cent. The impact factor of journal is increasing since 2008, and is expected to increase further due to higher citations enabled by the online system.

References

Ahmad, Latief and Raihana Habib Kanth. (2014). Characterization of climate of Leh district of cold-arid Himalaya. J. Agrometeorol., 16(2): 214–215. https://doi.org/10.54386/jam.v16i2.1525

Ali, M. H. and A.K.M. Adham. (2007). Impact of climate change on crop water demand and its implication on water resources planning: Bangladesh perspective. J. Agrometeorol., 9(1): 20–25. https://doi.org/10.54386/jam.v9i1.1073

Boote, K. J., J. W. Jones, and G. Hoogenboom (2008). Crop simulation models as tools for agro-advisories for weather and disease effects on production, J. Agrometeorol., 10 (Special issue): 9 - 17

Coughlan, K. J. and A. K. S. Huda (2008). Use of weather and climate information for agricultural planning and decision making, J. Agrometeorol., 10 (Special issue): 249-260.

Gupta, R. K. (2001). Estimation and validation of roughness length, surface temperature and sensible heat flux computed from remote sensing (WiFS and NOAA/AVHRR). J. Agrometeorol., 3(1-2): 189–215. https://doi.org/10.54386/jam.v3i1-2.405

Keerthi, P., Raj Singh, A. K.Dhaka, and C. Divesh. (2017). Growth and yield prediction of Indian mustard using InfoCrop model at Hisar, Haryana. J. Agrometeorol., 19(3): 259–261. https://doi.org/10.54386/jam.v19i3.667

Kersebaum, K.C., A.S. Nain, C. Nendel, M. Gandorfer and M. Wegehenkel (2008). Simulated effect of climate change on wheat production and nitrogen management at different sites in Germany, J. Agrometeorol., 10 (Special issue): 266-273.

Kumar, Sudheer, S.D. Attri, and K.K. Singh. (2019). Comparison of Lasso and stepwise regression technique for wheat yield prediction. J. Agrometeorol., 21(2):188–192. https://doi.org/10.54386/jam.v21i2.231

Li, Chunqiang, Baoguo Li and Keqin Hong. (2008). Climate change and its effect on reference evapotranspiation and crop water requirement in Hebei Province, China during 1965-1999, J. Agrometeorol., 10 (Special issue): 261-265.

Madolli, Mallappa J., Umesh Madolli, Huma Kousar Sangreskop, and Gouda P.A. (2020). The application of generalized additive models (GAMs) for assessing the teleconnection of ENSO and IOD with monsoon rainfall variability over Krishna river basin, India. J. Agrometeorol., 22(1): 33–40. https://doi.org/10.54386/jam.v22i1.119

Mehta, Rashmi and Vyas Pandey. (2016). Crop water requirement (ETc) of different crops of middle Gujarat. J. Agrometeorol., 18(1): 83–87. https://doi.org/10.54386/jam.v18i1.906

Mishra, Sudhir Kumar, A.M. Shekh, V. Pandey, S.B. Yadav, and H.R. Patel. (2015). Sensitivity analysis of four wheat cultivars to varying photoperiod and temperature at different phenological stages using WOFOST model. J. Agrometeorol., 17(1): 74–79. https://doi.org/10.54386/jam.v17i1.978

Mukherjee, Joydeep, S.S. Singh, Santosh Kumar, and Mohd. Idris. (2015). Radiation use efficiency and yield of wheat grown under elevated CO2 and temperature in open top chamber at Patna, Bihar. J. Agrometeorol., 17(2): 158–164. https://doi.org/10.54386/jam.v17i2.997

Patel, H. R., G. G. Patel, J. C. Shroff, Vyas Pandey, A. M. Shekh, R. P. Vadodaria, and B. K. Bhatt. (2010). Calibration and validation of CERES-wheat model for wheat in middle Gujarat region. J. Agrometeorol., 12(1): 114–117. https://doi.org/10.54386/jam.v12i1.1286

Patidar, Rohit, M. Mohanty, Nishant K. Sinha, S.C. Gupta, J. Somasundaram, R.S. Chaudhary, R. Soliya, K.M. Hati, M. Prabhakar, K. Sammi Reddy, A.K. Patra, and Srinivas Rao Ch. (2020). Potential impact of future climate change on maize (Zea mays L.) under rainfed condition in central India. J. Agrometeorol, 22(1): 18–23. https://doi.org/10.54386/jam.v22i1.117

Saikia, Uday S., K. K. Satapathy, B. Goswami, R.K. Singh, and B. K. Rao. (2007). Trend of rainfall and temperature change at Umiam, Meghalaya. J. Agrometeorol., 9(2): 203–208. https://doi.org/10.54386/jam.v9i2.1129

Salam, M. Abdul and Suad Al Mazrooe. (2006a). Evapotranspiration estimates and water balance of Kuwait. J. Agrometeorol., 8(2): 243–247. https://doi.org/10.54386/jam.v8i2.1055

Salam, M. Abdul and Suad Al Mazrooe. (2006b). Normal weather conditions of Kuwait. J. Agrometeorol., 8(2):278–280. https://doi.org/10.54386/jam.v8i2.1062

Singh, Surender, V.U.M. Rao, and Diwan Singh. (2005). Association of EI Nino and La Nina episodes with local/regional monsoon rainfall in Haryana subdivision (India). J. Agrometeorol., 7(1): 1–13. https://doi.org/10.54386/jam.v7i1.806

Sivakumar, M.V.K. (2008). Agrometeorology and food security, J. Agrometeorol., 10 (Special issue): 1 – 8.

Stigter, Kees (2008). Policy support for capacity building in weather and climate services focused on agriculture. J. Agrometeorol., 10(2): 107–112. https://doi.org/10.54386/jam.v10i2.1187

Sur, Koyel, Rucha Dave, and Prakash Chauhan. (2018). Spatio - temporal changes in NDVI and rainfall over Western Rajasthan and Gujarat region of India. J. Agrometeorol., 20(3): 189–195. https://doi.org/10.54386/jam.v20i3.541

Wani, Suhas P., T.K. Sreedevi, K.L. Sahrawat and Y.S. Ramakrishna (2008). Integrated watershed management - A food security approach for SAT rainfed areas, J. Agrometeorol., 10 (Special issue): 18 – 30.

Wegehenkel, M. and K.C. Kersebaum (2008). A first assessment of the impact of climate change on discharge and groundwater recharge in a catchment in Northeastern Germany, J. Agrometeorol., 10 (Special issue): 274-281.

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Published

17-02-2023

How to Cite

VYAS PANDEY. (2023). Evaluation of research articles published in the Journal of Agrometeorology (1999-2022). Journal of Agrometeorology, 25(1), 03–09. https://doi.org/10.54386/jam.v25i1.2017

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