Assessment of maize (Zea mays L.) productivity and yield gap analysis using simulation modelling in subtropical climate of central India

Authors

  • M. MOHANTY Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • NISHANT K. SINHA Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • ROHIT K. PATIDAR Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • J. SOMASUNDARAM Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • R.S. CHAUDHARY Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • K.M. HATI Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038
  • K. SAMMI REDDY Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad-500 059, India
  • M. PRABHAKAR Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad-500 059, India
  • SRINIVAS RAO CHERUKUMALLI Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad-500 059, India
  • ASHOK K. PATRA Indian Institute of Soil Science (IISS), Nabibagh, Berasia Road, Bhopal, India-462038

DOI:

https://doi.org/10.54386/jam.v19i4.603

Keywords:

Maize,, vertisols,, yield gap analysis, simulation modelling, APSIM

Abstract

Quantifying the yield potential of maize at any given site is a key to understand the existing yield gaps and to identify the most important constraints in achieving optimal yield and profit. A well parameterized and validated APSIM model was used to assess the productivity and yield gap of maize cv Kanchan 101 from multi-year long-term and completed experiments. A total of 30 districts with 74 soil profiles of Madhya Pradesh were considered for the study. For the 30 selected sites, the rainfed potential yield of maize (Ywp) ranged from 3.3 to 5.2 t ha-1 whereas the districts mean yield (Yf) ranged from 0.7 to 3.1 t ha-1 giving yield gaps ranging from 1.7 to 3.1 t ha-1. It was observed from the long-term simulation study that there is a good potential to improve the grain yield of maize crop by 3.0 t ha-1 provided optimum dates of sowing and good management practices are followed in the state.

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Published

01-12-2017

How to Cite

M. MOHANTY, NISHANT K. SINHA, ROHIT K. PATIDAR, J. SOMASUNDARAM, R.S. CHAUDHARY, K.M. HATI, K. SAMMI REDDY, M. PRABHAKAR, SRINIVAS RAO CHERUKUMALLI, & ASHOK K. PATRA. (2017). Assessment of maize (Zea mays L.) productivity and yield gap analysis using simulation modelling in subtropical climate of central India. Journal of Agrometeorology, 19(4), 342–345. https://doi.org/10.54386/jam.v19i4.603

Issue

Vol. 19 No. 4 (2017): December

Section

Research Paper

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