Evaluating InfoCrop model at mustard (Brassica juncea) crop field for multistage yield estimation


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Authors

  • AVINASH GOYAL ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • ANANTA VASHISTH ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • V K SEHGAL ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • D K DAS ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • JOYDEEP MUKHERJEE ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • SHIV PRASAD ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • K M MANJAIAH ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India

https://doi.org/10.56093/ijas.v91i12.120811

Keywords:

Biomass, InfoCrop-mustard model, LAI, Mustard, Seed yield

Abstract

A field experiment was conducted at research farm of Indian Agricultural Research Institute, New Delhi during Rabi 2016-17 and 2017-18. Three varieties of mustard [Brassica juncea (L.) Czern and Coss] RH-406, P. Tarak and Girraj were sown on three different dates for generating different weather conditions during different growth stages. InfoCrop-mustard model was calibrated from the observation taken from rabi 2016-17 sown mustard crop of same variety under same treatment. Model validation was done from the observation taken during Rabi 2017-18 sown crops under similar treatments. Simulation of phenology, LAI, biomass and seed yield was done by the InfoCrop-mustard model for RH-406, P. Tarak and Girraj cultivar of mustard sown at IARI, New Delhi research farm. Simulation of LAI, biomass and seed yield was done by the InfoCrop-mustard for RH-406 and Girraj cultivar of mustard in the farmer's field. Biomass and seed yield estimation was done by InfoCrop-mustard model for rabi 2017-18 crops at anthesis and at pod formation stage. Results showed that Infocrop-mustard model could able to simulate growth, development and yield of mustard crop. The mustard biomass and yield estimation done by the InfoCrop at pod formation stage had more promising results than at anthesis stage. We conclude that InfoCrop-mustard model satisfactorily simulate the growth, development and yield of mustard crop at farmer's field, and hence can be applied for agricultural applications for farmer's field and multistage mustard yield estimation.

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References

Aggarwal P K, Kalra N, Chander S and Pathak H. 2006. InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Performance of the model. Agricultural Systems 89: 47–67. DOI: https://doi.org/10.1016/j.agsy.2005.08.003

Boote K J, Jones J W, White J W, Asseng S and Lizaso J I. 2013. Putting mechanisms into crop production models. Plant Cell and Environment 36(9): 1658–72. DOI: https://doi.org/10.1111/pce.12119

Gill K K, Kaur B, Sandhu S S and Kaur P. 2018. Simulating mustard crop phenology and productivity with InfoCrop- Mustard model under temperature increase scenarios. Journal of Agrometeorology 18(2): 240–44. DOI: https://doi.org/10.54386/jam.v18i2.941

Goyal A, Das D K, Sehagal V K, Vashisth Ananta, Datta S P, Mukherje, J, Pardahan S, Singh J and Singh R. 2018. Effect of row direction and cultivar on micrometeorological and biophysical parameters of oil seed brassica. Journal of Agrometeorology 20: 85–91.

Keerthi P, Singh R, Dhaka K and Divesh C. 2017. Growth and yield prediction of Indian mustard using InfoCrop model at Hisar, Haryana. Journal of Agrometeorology 19(3): 259–61. DOI: https://doi.org/10.54386/jam.v19i3.667

Quiring S M and Legates D. 2008. Application of CERES-Maize for within-season prediction of rainfed corn yields in Delaware, USA. Agricultural and Forest Meteorology 148(6): 964–75 DOI: https://doi.org/10.1016/j.agrformet.2008.01.009

Vashisth Ananta, Goyal Avinash and Roy Debasish. 2018. Pre harvest maize crop yield forecast at different growth stage using different model under semi arid region of India. International Journal of Tropical Agriculture 36(4): 915–20.

Vashisth Ananta, Choudary Manu, Joshi D K and Baloda R. 2015. Pre harvest yield forecast in maize-mustard cropping system under semi arid region using crop simulation model. International Journal of Tropical Agriculture 33 (2): 1059–67.

Vashisth Ananta, Krishanan P and Joshi D K. 2019. Multi stage wheat yield estimation using different model under semi arid region of India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W6, 2019 ISPRS-GEOGLAM-ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring, 18–20 February 2019, New Delhi, India: 263–67. DOI: https://doi.org/10.5194/isprs-archives-XLII-3-W6-263-2019

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2022-01-31

Published

2022-01-31

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How to Cite

GOYAL, A., VASHISTH, A., SEHGAL, V. K., DAS, D. K., MUKHERJEE, J., PRASAD, S., & MANJAIAH, K. M. (2022). Evaluating InfoCrop model at mustard (Brassica juncea) crop field for multistage yield estimation. The Indian Journal of Agricultural Sciences, 91(12), 1801–1807. https://doi.org/10.56093/ijas.v91i12.120811
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