Skip to main content

Prediction of Mungbean Phenology of Various Genotypes Under Varying Dates of Sowing Using Different Thermal Indices

  • Chapter
  • First Online:
Challenges and Opportunities in Agrometeorology
  • 1017 Accesses

Abstract

A field experiment was conducted at Punjab Agricultural University farm during summer 2007. The experiment was carried out with four dates of sowings, four genotypes under split plot design with three replications. Phenology and thermal requirement of mungbean genotypes were studied under varying dates of sowing. Early sown crop (10th July) consumed more number of GDD, HTU and PTU to attain physiological maturity as compared to crop sown on 20th July and 30th July, which were at par with each other. While crop grown during 10th of August acquired lowest heat units hence resulted in low yield. Heat use efficiency was also characterized for production of biomass and seed yield. Among various mungbean genotypes viz. SML 668, ML 818, PAU 911 and ML 1299, the genotype ML-1299 resulted in higher HUE for both dry matter and seed yield as compared to other genotypes under study. Significant regression relationships were also worked out to obtain relationships for occurrence of different phenophases and HTU and PTU to predict mungbean phenology, DMA and seed yield. These three agroclimatic prediction models can be used to estimate crop growth and yields of mungbean.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Benbi DK (1994) Prediction of leaf area indices and yields of wheat. J Agric Sci Camb 122:13–20

    Article  Google Scholar 

  • Hundal SS, Singh R, Dhaliwal LK (1997) Agro-climatic indices for predicting phenology of wheat (Triticum aestivum) in Punjab. Indian J Agric Sci 67(6):265–268

    Google Scholar 

  • Hundal SS, Kaur Prabhjyot, Malikpuri SDS (2003a) Agroclimatic models for prediction of growth and yield of Indian mustard (Brassica junea). Indian J Agric Sci 73(3):142–144

    Google Scholar 

  • Hundal SS, Singh H, Kaur Prabhjyot, Dhaliwal LK (2003b) Agroclimatic models for growth and yield of soybean (Glycine max). Indian J Agric Sci 73(12):668–670

    Google Scholar 

  • Monteith JL (1981) Climatic variations and growth of crops. Quart J R Meteorol Soc 107:749–774

    Article  Google Scholar 

  • Nuttonson MY (1955) Wheat climate relationships and use of phenology in ascertaining the thermal and photothermal requirements of wheat. American Institute of Crop Ecology, Washington, DC, p 388

    Google Scholar 

  • Rao VUM, Singh D, Singh R (1999) Heat use efficiency of winter crops in Haryana. J Agrometeorol 1(2):143–148

    Google Scholar 

  • Sastry PSN, Chakravarty NVK (1982) Energy summation indices for wheat crop in India. Agric Meteorol 27:45–48

    Article  Google Scholar 

  • Whisler FD, Acock B, Baker DN, Fye RE, Hodges HF, Lambert JR, Lemmon HE, McKinion JM, Reddy VR (1986) Crop simulation models in agronomic systems. Advances Agron 40:141–208

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. K. Gill .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Gill, K.K., Singh, G., Bains, G.S., Ritu (2011). Prediction of Mungbean Phenology of Various Genotypes Under Varying Dates of Sowing Using Different Thermal Indices. In: Attri, S., Rathore, L., Sivakumar, M., Dash, S. (eds) Challenges and Opportunities in Agrometeorology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19360-6_36

Download citation

Publish with us

Policies and ethics