KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/25630
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SRINIVAS RAO CHERUKUMALLI and ASHOK K. PATRA M. MOHANTY, NISHANT K. SINHA, ROHIT K. PATIDAR, J. SOMASUNDARAM, R.S. CHAUDHARY, K.M. HATI, K. SAMMI REDDY, M. PRABHAKAR | en_US |
dc.date.accessioned | 2019-11-27T09:35:49Z | - |
dc.date.available | 2019-11-27T09:35:49Z | - |
dc.date.issued | 2017-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/25630 | - |
dc.description | Not Available | en_US |
dc.description.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. Understanding the causes of these yield gaps allows farmers to prioritize their efforts in improving yield and profit in a sustainable and environmentally sound fashion. A well parameterized and validated APSIM model was used to assess the productivity and yield gap analysis of maize cv Kanchan 101 from multi-year long-term and completed experiments. A total of 30 districts with 74 soil profiles of the state 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 for the state of Madhya Pradesh. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Maize, vertisols, yield gap analysis, simulation modelling, APSIM | en_US |
dc.title | Assessment of maize (Zea mays L.) productivity and yield gap analysis using simulation modelling in subtropical climate of central India | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Journal of Agrometeorology | en_US |
dc.publication.volumeno | Volume 19 Issue 4 | en_US |
dc.publication.pagenumber | 342-345 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://www.researchgate.net/publication/320842126_Assessment_of_maize_Zea_mays_L_productivity_and_yield_gap_analysis_using_simulation_modelling_in_subtropical_climate_of_central_India | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Soil Science | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 6.47 | en_US |
Appears in Collections: | NRM-IISS-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.