Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)
The production of sweet orange faces a problem with regard to visually identifying citrus seedling varieties. Despite using analytical techniques such as molecular markers, this kind of classification is not possible due to very subtle genetic variations. This is an important fact given that the cul...
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| Veröffentlicht in: | Computers and electronics in agriculture 2013-07, Vol.95, p.11-18 |
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| container_title | Computers and electronics in agriculture |
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| creator | Milori, Débora Marcondes Bastos Pereira Raynaud, Michel Villas-Boas, Paulino Ribeiro Venâncio, André Leonardo Mounier, Stéphane Bassanezi, Renato Beozzo Redon, Roland |
| description | The production of sweet orange faces a problem with regard to visually identifying citrus seedling varieties. Despite using analytical techniques such as molecular markers, this kind of classification is not possible due to very subtle genetic variations. This is an important fact given that the cultivation of a variety that differs from the one planned can cause numerous serious problems, such as the treatments applied to the orchards as well as the quality and characteristics of the fruits after harvest. Within this context, we assess the laser-induced fluorescent emission technique (LIFS) as a tool to identify citrus varieties. The results showed that LIFS combined with statistical methods is able to discriminate the different citrus varieties chosen. The rate of success for this classification depends on the combination of canopy and rootstock varieties, and our best result was of around 100%. These results can be used in the development of a new method that is economically viable for seedling certification. |
| doi_str_mv | 10.1016/j.compag.2013.03.008 |
| format | Article |
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Despite using analytical techniques such as molecular markers, this kind of classification is not possible due to very subtle genetic variations. This is an important fact given that the cultivation of a variety that differs from the one planned can cause numerous serious problems, such as the treatments applied to the orchards as well as the quality and characteristics of the fruits after harvest. Within this context, we assess the laser-induced fluorescent emission technique (LIFS) as a tool to identify citrus varieties. The results showed that LIFS combined with statistical methods is able to discriminate the different citrus varieties chosen. The rate of success for this classification depends on the combination of canopy and rootstock varieties, and our best result was of around 100%. These results can be used in the development of a new method that is economically viable for seedling certification.</description><identifier>ISSN: 0168-1699</identifier><identifier>EISSN: 1872-7107</identifier><identifier>DOI: 10.1016/j.compag.2013.03.008</identifier><identifier>CODEN: CEAGE6</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Analytical chemistry ; Biological and medical sciences ; canopy ; Chemical Sciences ; Citrus ; Citrus varieties ; fluorescence ; fruits ; Fundamental and applied biological sciences. Psychology ; genetic markers ; Instrumentation ; Laser-induced fluorescence spectroscopy ; new methods ; oranges ; orchards ; rootstocks ; Seedling production ; seedlings ; spectroscopy ; statistical analysis ; Sweet orange</subject><ispartof>Computers and electronics in agriculture, 2013-07, Vol.95, p.11-18</ispartof><rights>2013 Elsevier B.V.</rights><rights>2014 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-97b7a9c36ff60688975425370e16a807b62a915c1bc4c43a579b1206055b14d33</citedby><cites>FETCH-LOGICAL-c418t-97b7a9c36ff60688975425370e16a807b62a915c1bc4c43a579b1206055b14d33</cites><orcidid>0000-0002-9624-0230 ; 0000-0002-9344-4844</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compag.2013.03.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27448517$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01394611$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Milori, Débora Marcondes Bastos Pereira</creatorcontrib><creatorcontrib>Raynaud, Michel</creatorcontrib><creatorcontrib>Villas-Boas, Paulino Ribeiro</creatorcontrib><creatorcontrib>Venâncio, André Leonardo</creatorcontrib><creatorcontrib>Mounier, Stéphane</creatorcontrib><creatorcontrib>Bassanezi, Renato Beozzo</creatorcontrib><creatorcontrib>Redon, Roland</creatorcontrib><title>Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)</title><title>Computers and electronics in agriculture</title><description>The production of sweet orange faces a problem with regard to visually identifying citrus seedling varieties. Despite using analytical techniques such as molecular markers, this kind of classification is not possible due to very subtle genetic variations. This is an important fact given that the cultivation of a variety that differs from the one planned can cause numerous serious problems, such as the treatments applied to the orchards as well as the quality and characteristics of the fruits after harvest. Within this context, we assess the laser-induced fluorescent emission technique (LIFS) as a tool to identify citrus varieties. The results showed that LIFS combined with statistical methods is able to discriminate the different citrus varieties chosen. The rate of success for this classification depends on the combination of canopy and rootstock varieties, and our best result was of around 100%. These results can be used in the development of a new method that is economically viable for seedling certification.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Analytical chemistry</subject><subject>Biological and medical sciences</subject><subject>canopy</subject><subject>Chemical Sciences</subject><subject>Citrus</subject><subject>Citrus varieties</subject><subject>fluorescence</subject><subject>fruits</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>genetic markers</subject><subject>Instrumentation</subject><subject>Laser-induced fluorescence spectroscopy</subject><subject>new methods</subject><subject>oranges</subject><subject>orchards</subject><subject>rootstocks</subject><subject>Seedling production</subject><subject>seedlings</subject><subject>spectroscopy</subject><subject>statistical analysis</subject><subject>Sweet orange</subject><issn>0168-1699</issn><issn>1872-7107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LJDEQhoMo7Kj7Dxbsi6CHHqu60_m4CDKs68DAHlT2GNLpZMzQdpqkZ8B_b4ZePAoFRRXPWxQPIb8QlgjI7nZLE95HvV1WgPUScoE4IQsUvCo5Aj8li4yJEpmUP8h5SjvIsxR8Qf6tOztM3nmjJx-GIrjC-CnuU3HQ0dvJ21Tskx-2Ra-TjaUfur2xXeH6fYg2GTsYW6TRmimGZML4Udxs1o_Pt5fkzOk-2Z__-wV5ffz9snoqN3__rFcPm9JQFFMpecu1NDVzjgETQvKGVk3NwSLTAnjLKi2xMdgaamitGy5brIBB07RIu7q-ILfz3TfdqzH6dx0_VNBePT1s1HGXjUjKEA-YWTqzJv-aonVfAQR1FKl2ahapjiIV5AKRY9dzbNTJ6N5FPRifvrIVp1Q0yDN3NXNOB6W3MTOvz_kQBQCKDPBboqprVmXifiZsdnbwNqpk_NFx52N2rLrgv3_2E-nqm8U</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Milori, Débora Marcondes Bastos Pereira</creator><creator>Raynaud, Michel</creator><creator>Villas-Boas, Paulino Ribeiro</creator><creator>Venâncio, André Leonardo</creator><creator>Mounier, Stéphane</creator><creator>Bassanezi, Renato Beozzo</creator><creator>Redon, Roland</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9624-0230</orcidid><orcidid>https://orcid.org/0000-0002-9344-4844</orcidid></search><sort><creationdate>20130701</creationdate><title>Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)</title><author>Milori, Débora Marcondes Bastos Pereira ; Raynaud, Michel ; Villas-Boas, Paulino Ribeiro ; Venâncio, André Leonardo ; Mounier, Stéphane ; Bassanezi, Renato Beozzo ; Redon, Roland</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-97b7a9c36ff60688975425370e16a807b62a915c1bc4c43a579b1206055b14d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Analytical chemistry</topic><topic>Biological and medical sciences</topic><topic>canopy</topic><topic>Chemical Sciences</topic><topic>Citrus</topic><topic>Citrus varieties</topic><topic>fluorescence</topic><topic>fruits</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>genetic markers</topic><topic>Instrumentation</topic><topic>Laser-induced fluorescence spectroscopy</topic><topic>new methods</topic><topic>oranges</topic><topic>orchards</topic><topic>rootstocks</topic><topic>Seedling production</topic><topic>seedlings</topic><topic>spectroscopy</topic><topic>statistical analysis</topic><topic>Sweet orange</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Milori, Débora Marcondes Bastos Pereira</creatorcontrib><creatorcontrib>Raynaud, Michel</creatorcontrib><creatorcontrib>Villas-Boas, Paulino Ribeiro</creatorcontrib><creatorcontrib>Venâncio, André Leonardo</creatorcontrib><creatorcontrib>Mounier, Stéphane</creatorcontrib><creatorcontrib>Bassanezi, Renato Beozzo</creatorcontrib><creatorcontrib>Redon, Roland</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Computers and electronics in agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Milori, Débora Marcondes Bastos Pereira</au><au>Raynaud, Michel</au><au>Villas-Boas, Paulino Ribeiro</au><au>Venâncio, André Leonardo</au><au>Mounier, Stéphane</au><au>Bassanezi, Renato Beozzo</au><au>Redon, Roland</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)</atitle><jtitle>Computers and electronics in agriculture</jtitle><date>2013-07-01</date><risdate>2013</risdate><volume>95</volume><spage>11</spage><epage>18</epage><pages>11-18</pages><issn>0168-1699</issn><eissn>1872-7107</eissn><coden>CEAGE6</coden><abstract>The production of sweet orange faces a problem with regard to visually identifying citrus seedling varieties. Despite using analytical techniques such as molecular markers, this kind of classification is not possible due to very subtle genetic variations. This is an important fact given that the cultivation of a variety that differs from the one planned can cause numerous serious problems, such as the treatments applied to the orchards as well as the quality and characteristics of the fruits after harvest. Within this context, we assess the laser-induced fluorescent emission technique (LIFS) as a tool to identify citrus varieties. The results showed that LIFS combined with statistical methods is able to discriminate the different citrus varieties chosen. The rate of success for this classification depends on the combination of canopy and rootstock varieties, and our best result was of around 100%. 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| source | ScienceDirect |
| subjects | Agronomy. Soil science and plant productions Analytical chemistry Biological and medical sciences canopy Chemical Sciences Citrus Citrus varieties fluorescence fruits Fundamental and applied biological sciences. Psychology genetic markers Instrumentation Laser-induced fluorescence spectroscopy new methods oranges orchards rootstocks Seedling production seedlings spectroscopy statistical analysis Sweet orange |
| title | Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS) |
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