Allometric models to estimate peanuts leaflets area by non-destructive method
ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the l...
Gespeichert in:
Veröffentlicht in: | Bragantia 2022, Vol.81 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | Bragantia |
container_volume | 81 |
creator | Ribeiro, João Everthon da Silva Coêlho, Ester dos Santos Oliveira, Pablo Henrique de Almeida Lopes, Welder de Araújo Rangel Silva, Elania Freire da Oliveira, Anna Kézia Soares de Silveira, Lindomar Maria da Silva, Daniel Valadão Barros Júnior, Aurélio Paes Dias, Thiago Jardelino |
description | ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar. |
doi_str_mv | 10.1590/1678-4499.20220121 |
format | Article |
fullrecord | <record><control><sourceid>scielo_cross</sourceid><recordid>TN_cdi_scielo_journals_S0006_87052022000100243</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><scielo_id>S0006_87052022000100243</scielo_id><sourcerecordid>S0006_87052022000100243</sourcerecordid><originalsourceid>FETCH-LOGICAL-c260t-49be629ac188f7afdcd35d0d390cd8db07b03d3b77a97896cb9dfd4ad993d5fd3</originalsourceid><addsrcrecordid>eNo9kNtKAzEQhoMoWKsv4FVeYOsk2VMuS_EEFS_U65DNJLhluylJVujbm7Xq1QzD_DN8HyG3DFasknDH6qYtylLKFQfOgXF2Rhb_w3OyAIC6aBuoLslVjDsAXoGoF-RlPQx-b1PoDd17tEOkyVMbU7_XydKD1eOUIh2sdoPNjQ5W0-5IRz8WmNfCZFL_ZWk-8enxmlw4PUR781uX5OPh_n3zVGxfH583621heA2pKGVnay61YW3rGu3QoKgQUEgw2GIHTQcCRdc0WjatrE0n0WGpUUqBlUOxJKvT3Wh6O3i181MY80P1NnOqmfPHAwDLpKXIAX4KmOBjDNapQ8iE4agYqNmgmmWpWZb6Myi-ASxIYug</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Allometric models to estimate peanuts leaflets area by non-destructive method</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ribeiro, João Everthon da Silva ; Coêlho, Ester dos Santos ; Oliveira, Pablo Henrique de Almeida ; Lopes, Welder de Araújo Rangel ; Silva, Elania Freire da ; Oliveira, Anna Kézia Soares de ; Silveira, Lindomar Maria da ; Silva, Daniel Valadão ; Barros Júnior, Aurélio Paes ; Dias, Thiago Jardelino</creator><creatorcontrib>Ribeiro, João Everthon da Silva ; Coêlho, Ester dos Santos ; Oliveira, Pablo Henrique de Almeida ; Lopes, Welder de Araújo Rangel ; Silva, Elania Freire da ; Oliveira, Anna Kézia Soares de ; Silveira, Lindomar Maria da ; Silva, Daniel Valadão ; Barros Júnior, Aurélio Paes ; Dias, Thiago Jardelino</creatorcontrib><description>ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.</description><identifier>ISSN: 0006-8705</identifier><identifier>ISSN: 1678-4499</identifier><identifier>EISSN: 1678-4499</identifier><identifier>DOI: 10.1590/1678-4499.20220121</identifier><language>eng</language><publisher>Instituto Agronômico de Campinas</publisher><subject>AGRICULTURE, MULTIDISCIPLINARY</subject><ispartof>Bragantia, 2022, Vol.81</ispartof><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c260t-49be629ac188f7afdcd35d0d390cd8db07b03d3b77a97896cb9dfd4ad993d5fd3</citedby><cites>FETCH-LOGICAL-c260t-49be629ac188f7afdcd35d0d390cd8db07b03d3b77a97896cb9dfd4ad993d5fd3</cites><orcidid>0000-0002-5541-1937 ; 0000-0002-9380-6710 ; 0000-0002-7176-3609 ; 0000-0003-0644-2849 ; 0000-0001-9128-6179 ; 0000-0001-9719-7417 ; 0000-0002-6983-8245 ; 0000-0002-1937-0066 ; 0000-0001-7063-9991 ; 0000-0002-7843-6184</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Ribeiro, João Everthon da Silva</creatorcontrib><creatorcontrib>Coêlho, Ester dos Santos</creatorcontrib><creatorcontrib>Oliveira, Pablo Henrique de Almeida</creatorcontrib><creatorcontrib>Lopes, Welder de Araújo Rangel</creatorcontrib><creatorcontrib>Silva, Elania Freire da</creatorcontrib><creatorcontrib>Oliveira, Anna Kézia Soares de</creatorcontrib><creatorcontrib>Silveira, Lindomar Maria da</creatorcontrib><creatorcontrib>Silva, Daniel Valadão</creatorcontrib><creatorcontrib>Barros Júnior, Aurélio Paes</creatorcontrib><creatorcontrib>Dias, Thiago Jardelino</creatorcontrib><title>Allometric models to estimate peanuts leaflets area by non-destructive method</title><title>Bragantia</title><addtitle>Bragantia</addtitle><description>ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.</description><subject>AGRICULTURE, MULTIDISCIPLINARY</subject><issn>0006-8705</issn><issn>1678-4499</issn><issn>1678-4499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kNtKAzEQhoMoWKsv4FVeYOsk2VMuS_EEFS_U65DNJLhluylJVujbm7Xq1QzD_DN8HyG3DFasknDH6qYtylLKFQfOgXF2Rhb_w3OyAIC6aBuoLslVjDsAXoGoF-RlPQx-b1PoDd17tEOkyVMbU7_XydKD1eOUIh2sdoPNjQ5W0-5IRz8WmNfCZFL_ZWk-8enxmlw4PUR781uX5OPh_n3zVGxfH583621heA2pKGVnay61YW3rGu3QoKgQUEgw2GIHTQcCRdc0WjatrE0n0WGpUUqBlUOxJKvT3Wh6O3i181MY80P1NnOqmfPHAwDLpKXIAX4KmOBjDNapQ8iE4agYqNmgmmWpWZb6Myi-ASxIYug</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Ribeiro, João Everthon da Silva</creator><creator>Coêlho, Ester dos Santos</creator><creator>Oliveira, Pablo Henrique de Almeida</creator><creator>Lopes, Welder de Araújo Rangel</creator><creator>Silva, Elania Freire da</creator><creator>Oliveira, Anna Kézia Soares de</creator><creator>Silveira, Lindomar Maria da</creator><creator>Silva, Daniel Valadão</creator><creator>Barros Júnior, Aurélio Paes</creator><creator>Dias, Thiago Jardelino</creator><general>Instituto Agronômico de Campinas</general><scope>AAYXX</scope><scope>CITATION</scope><scope>GPN</scope><orcidid>https://orcid.org/0000-0002-5541-1937</orcidid><orcidid>https://orcid.org/0000-0002-9380-6710</orcidid><orcidid>https://orcid.org/0000-0002-7176-3609</orcidid><orcidid>https://orcid.org/0000-0003-0644-2849</orcidid><orcidid>https://orcid.org/0000-0001-9128-6179</orcidid><orcidid>https://orcid.org/0000-0001-9719-7417</orcidid><orcidid>https://orcid.org/0000-0002-6983-8245</orcidid><orcidid>https://orcid.org/0000-0002-1937-0066</orcidid><orcidid>https://orcid.org/0000-0001-7063-9991</orcidid><orcidid>https://orcid.org/0000-0002-7843-6184</orcidid></search><sort><creationdate>2022</creationdate><title>Allometric models to estimate peanuts leaflets area by non-destructive method</title><author>Ribeiro, João Everthon da Silva ; Coêlho, Ester dos Santos ; Oliveira, Pablo Henrique de Almeida ; Lopes, Welder de Araújo Rangel ; Silva, Elania Freire da ; Oliveira, Anna Kézia Soares de ; Silveira, Lindomar Maria da ; Silva, Daniel Valadão ; Barros Júnior, Aurélio Paes ; Dias, Thiago Jardelino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c260t-49be629ac188f7afdcd35d0d390cd8db07b03d3b77a97896cb9dfd4ad993d5fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>AGRICULTURE, MULTIDISCIPLINARY</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ribeiro, João Everthon da Silva</creatorcontrib><creatorcontrib>Coêlho, Ester dos Santos</creatorcontrib><creatorcontrib>Oliveira, Pablo Henrique de Almeida</creatorcontrib><creatorcontrib>Lopes, Welder de Araújo Rangel</creatorcontrib><creatorcontrib>Silva, Elania Freire da</creatorcontrib><creatorcontrib>Oliveira, Anna Kézia Soares de</creatorcontrib><creatorcontrib>Silveira, Lindomar Maria da</creatorcontrib><creatorcontrib>Silva, Daniel Valadão</creatorcontrib><creatorcontrib>Barros Júnior, Aurélio Paes</creatorcontrib><creatorcontrib>Dias, Thiago Jardelino</creatorcontrib><collection>CrossRef</collection><collection>SciELO</collection><jtitle>Bragantia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ribeiro, João Everthon da Silva</au><au>Coêlho, Ester dos Santos</au><au>Oliveira, Pablo Henrique de Almeida</au><au>Lopes, Welder de Araújo Rangel</au><au>Silva, Elania Freire da</au><au>Oliveira, Anna Kézia Soares de</au><au>Silveira, Lindomar Maria da</au><au>Silva, Daniel Valadão</au><au>Barros Júnior, Aurélio Paes</au><au>Dias, Thiago Jardelino</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Allometric models to estimate peanuts leaflets area by non-destructive method</atitle><jtitle>Bragantia</jtitle><addtitle>Bragantia</addtitle><date>2022</date><risdate>2022</risdate><volume>81</volume><issn>0006-8705</issn><issn>1678-4499</issn><eissn>1678-4499</eissn><abstract>ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.</abstract><pub>Instituto Agronômico de Campinas</pub><doi>10.1590/1678-4499.20220121</doi><orcidid>https://orcid.org/0000-0002-5541-1937</orcidid><orcidid>https://orcid.org/0000-0002-9380-6710</orcidid><orcidid>https://orcid.org/0000-0002-7176-3609</orcidid><orcidid>https://orcid.org/0000-0003-0644-2849</orcidid><orcidid>https://orcid.org/0000-0001-9128-6179</orcidid><orcidid>https://orcid.org/0000-0001-9719-7417</orcidid><orcidid>https://orcid.org/0000-0002-6983-8245</orcidid><orcidid>https://orcid.org/0000-0002-1937-0066</orcidid><orcidid>https://orcid.org/0000-0001-7063-9991</orcidid><orcidid>https://orcid.org/0000-0002-7843-6184</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0006-8705 |
ispartof | Bragantia, 2022, Vol.81 |
issn | 0006-8705 1678-4499 1678-4499 |
language | eng |
recordid | cdi_scielo_journals_S0006_87052022000100243 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | AGRICULTURE, MULTIDISCIPLINARY |
title | Allometric models to estimate peanuts leaflets area by non-destructive method |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T10%3A04%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-scielo_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Allometric%20models%20to%20estimate%20peanuts%20leaflets%20area%20by%20non-destructive%20method&rft.jtitle=Bragantia&rft.au=Ribeiro,%20Jo%C3%A3o%20Everthon%20da%20Silva&rft.date=2022&rft.volume=81&rft.issn=0006-8705&rft.eissn=1678-4499&rft_id=info:doi/10.1590/1678-4499.20220121&rft_dat=%3Cscielo_cross%3ES0006_87052022000100243%3C/scielo_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_scielo_id=S0006_87052022000100243&rfr_iscdi=true |