Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India
A study was carried out to test the SIMCAS (growth simulation model for cassava) model over major cassava-growing regions in India with different agro-climatic conditions to understand the wider acceptability of this model. The study locations included the major growing areas of cassava in India, vi...
Gespeichert in:
Veröffentlicht in: | Agricultural research (India : Online) 2022-06, Vol.11 (2), p.281-290 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 290 |
---|---|
container_issue | 2 |
container_start_page | 281 |
container_title | Agricultural research (India : Online) |
container_volume | 11 |
creator | Lekshmanan, Divya K. Pushpalatha, Raji Santhosh Mithra, V. S. Sunitha, S. George, James Velmurugan, M. Ashok, P. Mhasker, N. V. Desai, K. D. Shiny, R. Byju, Gangadharan |
description | A study was carried out to test the SIMCAS (growth simulation model for cassava) model over major cassava-growing regions in India with different agro-climatic conditions to understand the wider acceptability of this model. The study locations included the major growing areas of cassava in India, viz
.
Thiruvananthapuram, Salem, Navsari, Ratnagiri, and West Godavari. Two varieties, H-226 (long-duration) and Sree Vijaya (short-duration), were used to validate this model. The crop growth parameters for calibrating the model were derived by conducting field experiments at the five locations under the All India Coordinated Research Project on Tuber Crops. The model verification score and agreement index during yield simulation in the case of H-226 and Sree Vijaya were ranged from 0.69 to 0.99 and from 0.52 to 0.59, respectively. The values of normalized objective function (0.10–0.26) and normalized root mean square error (excellent to fair simulations) also showed the reliability of the model simulations with the field observations. Based on the model performance, this study recommended the wider applicability of SIMCAS for simulating cassava yield irrespective of the agro-climatic conditions. |
doi_str_mv | 10.1007/s40003-021-00557-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2666933005</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2666933005</sourcerecordid><originalsourceid>FETCH-LOGICAL-c314t-6c0b6749dc044f717e8b1ca4fe36ddfd99cc7e2b6707577a9366670de562e0dd3</originalsourceid><addsrcrecordid>eNp9kMtKAzEUhoMoWGpfwFXA9ejJZSbNsgy1FloK1oKuQjrJ1Cl1UpNpi2_js_hkpo6Xnascwvf_h_MhdEngmgCIm8ABgCVASQKQpiKRJ6hDKZeJoKR_-jvD4znqhbCOdPwnfU47SD1VdmPwMDTVi24qV2NX4lyHoPcaL0JVr_B8PM0Hczx1xm7wbG89bp4tnuq18z_kx_vIu8MRvrerWBJwVeNxbSp9gc5KvQm29_120eJ2-JDfJZPZaJwPJknBCG-SrIBlJrg0BXBeCiJsf0kKzUvLMmNKI2VRCEsjAyIVQkuWZXE2Ns2oBWNYF121vVvvXnc2NGrtdr6OKxWNqGQsqokUbanCuxC8LdXWx7v9myKgji5V61JFQerLpZIxxNpQiHC9sv6v-p_UJxqadlI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2666933005</pqid></control><display><type>article</type><title>Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India</title><source>SpringerLink Journals</source><creator>Lekshmanan, Divya K. ; Pushpalatha, Raji ; Santhosh Mithra, V. S. ; Sunitha, S. ; George, James ; Velmurugan, M. ; Ashok, P. ; Mhasker, N. V. ; Desai, K. D. ; Shiny, R. ; Byju, Gangadharan</creator><creatorcontrib>Lekshmanan, Divya K. ; Pushpalatha, Raji ; Santhosh Mithra, V. S. ; Sunitha, S. ; George, James ; Velmurugan, M. ; Ashok, P. ; Mhasker, N. V. ; Desai, K. D. ; Shiny, R. ; Byju, Gangadharan</creatorcontrib><description>A study was carried out to test the SIMCAS (growth simulation model for cassava) model over major cassava-growing regions in India with different agro-climatic conditions to understand the wider acceptability of this model. The study locations included the major growing areas of cassava in India, viz
.
Thiruvananthapuram, Salem, Navsari, Ratnagiri, and West Godavari. Two varieties, H-226 (long-duration) and Sree Vijaya (short-duration), were used to validate this model. The crop growth parameters for calibrating the model were derived by conducting field experiments at the five locations under the All India Coordinated Research Project on Tuber Crops. The model verification score and agreement index during yield simulation in the case of H-226 and Sree Vijaya were ranged from 0.69 to 0.99 and from 0.52 to 0.59, respectively. The values of normalized objective function (0.10–0.26) and normalized root mean square error (excellent to fair simulations) also showed the reliability of the model simulations with the field observations. Based on the model performance, this study recommended the wider applicability of SIMCAS for simulating cassava yield irrespective of the agro-climatic conditions.</description><identifier>ISSN: 2249-720X</identifier><identifier>EISSN: 2249-7218</identifier><identifier>DOI: 10.1007/s40003-021-00557-9</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Biodiversity ; Biomedical and Life Sciences ; Cassava ; Cell Biology ; Climatic conditions ; Crop growth ; Crop yield ; Field tests ; Full-Length Research Article ; Histocompatibility antigen H-2 ; Life Sciences ; Objective function ; Plant Biochemistry ; Plant Ecology ; Plant Genetics and Genomics ; Plant Sciences ; Research projects ; Simulation</subject><ispartof>Agricultural research (India : Online), 2022-06, Vol.11 (2), p.281-290</ispartof><rights>NAAS (National Academy of Agricultural Sciences) 2021</rights><rights>NAAS (National Academy of Agricultural Sciences) 2021.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-6c0b6749dc044f717e8b1ca4fe36ddfd99cc7e2b6707577a9366670de562e0dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40003-021-00557-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40003-021-00557-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Lekshmanan, Divya K.</creatorcontrib><creatorcontrib>Pushpalatha, Raji</creatorcontrib><creatorcontrib>Santhosh Mithra, V. S.</creatorcontrib><creatorcontrib>Sunitha, S.</creatorcontrib><creatorcontrib>George, James</creatorcontrib><creatorcontrib>Velmurugan, M.</creatorcontrib><creatorcontrib>Ashok, P.</creatorcontrib><creatorcontrib>Mhasker, N. V.</creatorcontrib><creatorcontrib>Desai, K. D.</creatorcontrib><creatorcontrib>Shiny, R.</creatorcontrib><creatorcontrib>Byju, Gangadharan</creatorcontrib><title>Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India</title><title>Agricultural research (India : Online)</title><addtitle>Agric Res</addtitle><description>A study was carried out to test the SIMCAS (growth simulation model for cassava) model over major cassava-growing regions in India with different agro-climatic conditions to understand the wider acceptability of this model. The study locations included the major growing areas of cassava in India, viz
.
Thiruvananthapuram, Salem, Navsari, Ratnagiri, and West Godavari. Two varieties, H-226 (long-duration) and Sree Vijaya (short-duration), were used to validate this model. The crop growth parameters for calibrating the model were derived by conducting field experiments at the five locations under the All India Coordinated Research Project on Tuber Crops. The model verification score and agreement index during yield simulation in the case of H-226 and Sree Vijaya were ranged from 0.69 to 0.99 and from 0.52 to 0.59, respectively. The values of normalized objective function (0.10–0.26) and normalized root mean square error (excellent to fair simulations) also showed the reliability of the model simulations with the field observations. Based on the model performance, this study recommended the wider applicability of SIMCAS for simulating cassava yield irrespective of the agro-climatic conditions.</description><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Cassava</subject><subject>Cell Biology</subject><subject>Climatic conditions</subject><subject>Crop growth</subject><subject>Crop yield</subject><subject>Field tests</subject><subject>Full-Length Research Article</subject><subject>Histocompatibility antigen H-2</subject><subject>Life Sciences</subject><subject>Objective function</subject><subject>Plant Biochemistry</subject><subject>Plant Ecology</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Sciences</subject><subject>Research projects</subject><subject>Simulation</subject><issn>2249-720X</issn><issn>2249-7218</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEUhoMoWGpfwFXA9ejJZSbNsgy1FloK1oKuQjrJ1Cl1UpNpi2_js_hkpo6Xnascwvf_h_MhdEngmgCIm8ABgCVASQKQpiKRJ6hDKZeJoKR_-jvD4znqhbCOdPwnfU47SD1VdmPwMDTVi24qV2NX4lyHoPcaL0JVr_B8PM0Hczx1xm7wbG89bp4tnuq18z_kx_vIu8MRvrerWBJwVeNxbSp9gc5KvQm29_120eJ2-JDfJZPZaJwPJknBCG-SrIBlJrg0BXBeCiJsf0kKzUvLMmNKI2VRCEsjAyIVQkuWZXE2Ns2oBWNYF121vVvvXnc2NGrtdr6OKxWNqGQsqokUbanCuxC8LdXWx7v9myKgji5V61JFQerLpZIxxNpQiHC9sv6v-p_UJxqadlI</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Lekshmanan, Divya K.</creator><creator>Pushpalatha, Raji</creator><creator>Santhosh Mithra, V. S.</creator><creator>Sunitha, S.</creator><creator>George, James</creator><creator>Velmurugan, M.</creator><creator>Ashok, P.</creator><creator>Mhasker, N. V.</creator><creator>Desai, K. D.</creator><creator>Shiny, R.</creator><creator>Byju, Gangadharan</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220601</creationdate><title>Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India</title><author>Lekshmanan, Divya K. ; Pushpalatha, Raji ; Santhosh Mithra, V. S. ; Sunitha, S. ; George, James ; Velmurugan, M. ; Ashok, P. ; Mhasker, N. V. ; Desai, K. D. ; Shiny, R. ; Byju, Gangadharan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-6c0b6749dc044f717e8b1ca4fe36ddfd99cc7e2b6707577a9366670de562e0dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Cassava</topic><topic>Cell Biology</topic><topic>Climatic conditions</topic><topic>Crop growth</topic><topic>Crop yield</topic><topic>Field tests</topic><topic>Full-Length Research Article</topic><topic>Histocompatibility antigen H-2</topic><topic>Life Sciences</topic><topic>Objective function</topic><topic>Plant Biochemistry</topic><topic>Plant Ecology</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Sciences</topic><topic>Research projects</topic><topic>Simulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Lekshmanan, Divya K.</creatorcontrib><creatorcontrib>Pushpalatha, Raji</creatorcontrib><creatorcontrib>Santhosh Mithra, V. S.</creatorcontrib><creatorcontrib>Sunitha, S.</creatorcontrib><creatorcontrib>George, James</creatorcontrib><creatorcontrib>Velmurugan, M.</creatorcontrib><creatorcontrib>Ashok, P.</creatorcontrib><creatorcontrib>Mhasker, N. V.</creatorcontrib><creatorcontrib>Desai, K. D.</creatorcontrib><creatorcontrib>Shiny, R.</creatorcontrib><creatorcontrib>Byju, Gangadharan</creatorcontrib><collection>CrossRef</collection><jtitle>Agricultural research (India : Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lekshmanan, Divya K.</au><au>Pushpalatha, Raji</au><au>Santhosh Mithra, V. S.</au><au>Sunitha, S.</au><au>George, James</au><au>Velmurugan, M.</au><au>Ashok, P.</au><au>Mhasker, N. V.</au><au>Desai, K. D.</au><au>Shiny, R.</au><au>Byju, Gangadharan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India</atitle><jtitle>Agricultural research (India : Online)</jtitle><stitle>Agric Res</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>11</volume><issue>2</issue><spage>281</spage><epage>290</epage><pages>281-290</pages><issn>2249-720X</issn><eissn>2249-7218</eissn><abstract>A study was carried out to test the SIMCAS (growth simulation model for cassava) model over major cassava-growing regions in India with different agro-climatic conditions to understand the wider acceptability of this model. The study locations included the major growing areas of cassava in India, viz
.
Thiruvananthapuram, Salem, Navsari, Ratnagiri, and West Godavari. Two varieties, H-226 (long-duration) and Sree Vijaya (short-duration), were used to validate this model. The crop growth parameters for calibrating the model were derived by conducting field experiments at the five locations under the All India Coordinated Research Project on Tuber Crops. The model verification score and agreement index during yield simulation in the case of H-226 and Sree Vijaya were ranged from 0.69 to 0.99 and from 0.52 to 0.59, respectively. The values of normalized objective function (0.10–0.26) and normalized root mean square error (excellent to fair simulations) also showed the reliability of the model simulations with the field observations. Based on the model performance, this study recommended the wider applicability of SIMCAS for simulating cassava yield irrespective of the agro-climatic conditions.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s40003-021-00557-9</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2249-720X |
ispartof | Agricultural research (India : Online), 2022-06, Vol.11 (2), p.281-290 |
issn | 2249-720X 2249-7218 |
language | eng |
recordid | cdi_proquest_journals_2666933005 |
source | SpringerLink Journals |
subjects | Biodiversity Biomedical and Life Sciences Cassava Cell Biology Climatic conditions Crop growth Crop yield Field tests Full-Length Research Article Histocompatibility antigen H-2 Life Sciences Objective function Plant Biochemistry Plant Ecology Plant Genetics and Genomics Plant Sciences Research projects Simulation |
title | Yield Estimation of Cassava Using SIMCAS Model Over the Major Cassava Growing Regions in India |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T02%3A11%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Yield%20Estimation%20of%20Cassava%20Using%20SIMCAS%20Model%20Over%20the%20Major%20Cassava%C2%A0Growing%20Regions%20in%20India&rft.jtitle=Agricultural%20research%20(India%20:%20Online)&rft.au=Lekshmanan,%20Divya%20K.&rft.date=2022-06-01&rft.volume=11&rft.issue=2&rft.spage=281&rft.epage=290&rft.pages=281-290&rft.issn=2249-720X&rft.eissn=2249-7218&rft_id=info:doi/10.1007/s40003-021-00557-9&rft_dat=%3Cproquest_cross%3E2666933005%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2666933005&rft_id=info:pmid/&rfr_iscdi=true |