Genotypic Variation and Relationships between Quality Traits and Trace Elements in Traditional and Improved Rice (Oryza sativa L.) Genotypes
: In this study, we assessed the extent of genotypic differences among rice genotypes for grain size, milling quality, cooking properties, protein, and the mineral contents of Fe, Zn, Mn, and Cu in unpolished rice varieties. Further, relationship among grain quality traits and mineral contents was...
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| Veröffentlicht in: | Journal of food science 2011-05, Vol.76 (4), p.H122-H130 |
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| creator | Anandan, A. Rajiv, G. Eswaran, R. Prakash, M. |
| description | : In this study, we assessed the extent of genotypic differences among rice genotypes for grain size, milling quality, cooking properties, protein, and the mineral contents of Fe, Zn, Mn, and Cu in unpolished rice varieties. Further, relationship among grain quality traits and mineral contents was determined. The results showed that the visible difference could be found in the mineral contents among rice genotypes studied. The contents of Fe and Zn in traditional genotypes were significantly higher than those of improved cultivars. There was a negative correlation between grain yield and mineral contents. However, Fe, Zn, Mn, and Cu contents appeared to be positively correlated. The relationships between mineral element contents and cooking quality traits viz., kernel length after cooking and kernel linear elongation ratio were positively correlated, indicated the role of micronutrients in cooking quality traits. Both Fe and Cu contents were correlated positively and significantly with head rice recovery. The eigen values of 1st 6 principal components (PC) were > 1.0. The present study suggests that breeding for high minerals will be probably realistic.
Practical Application: The identified micronutrient rich rice genotypes could be used among malnourished children to improve their health. Further, it could be utilized to identify QTLs for iron, zinc, manganese, and copper elements. |
| doi_str_mv | 10.1111/j.1750-3841.2011.02135.x |
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Practical Application: The identified micronutrient rich rice genotypes could be used among malnourished children to improve their health. Further, it could be utilized to identify QTLs for iron, zinc, manganese, and copper elements.</description><identifier>ISSN: 0022-1147</identifier><identifier>EISSN: 1750-3841</identifier><identifier>DOI: 10.1111/j.1750-3841.2011.02135.x</identifier><identifier>PMID: 22417360</identifier><identifier>CODEN: JFDSAZ</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Biological and medical sciences ; Cereal and baking product industries ; Cooking ; cooking quality ; Copper ; Correlation ; Dietary Proteins - analysis ; Food Handling - methods ; Food industries ; Food quality ; Food science ; Fundamental and applied biological sciences. Psychology ; Genetic Variation ; Genotype ; Genotype & phenotype ; grain quality ; Heating ; Iron ; micronutrients ; Minerals ; Oryza - chemistry ; Oryza - genetics ; Phenotype ; Plant Proteins - analysis ; Rice ; Seeds - chemistry ; Seeds - genetics ; Trace elements ; Trace Elements - analysis ; Zinc</subject><ispartof>Journal of food science, 2011-05, Vol.76 (4), p.H122-H130</ispartof><rights>2011 Institute of Food Technologists</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Institute of Food Technologists May 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6175-9d08a22d45bae90ec77653f68d8076fce0cbca887b494178ac284ca4fef9cc143</citedby><cites>FETCH-LOGICAL-c6175-9d08a22d45bae90ec77653f68d8076fce0cbca887b494178ac284ca4fef9cc143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1750-3841.2011.02135.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1750-3841.2011.02135.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24180759$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22417360$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Anandan, A.</creatorcontrib><creatorcontrib>Rajiv, G.</creatorcontrib><creatorcontrib>Eswaran, R.</creatorcontrib><creatorcontrib>Prakash, M.</creatorcontrib><title>Genotypic Variation and Relationships between Quality Traits and Trace Elements in Traditional and Improved Rice (Oryza sativa L.) Genotypes</title><title>Journal of food science</title><addtitle>J Food Sci</addtitle><description>: In this study, we assessed the extent of genotypic differences among rice genotypes for grain size, milling quality, cooking properties, protein, and the mineral contents of Fe, Zn, Mn, and Cu in unpolished rice varieties. Further, relationship among grain quality traits and mineral contents was determined. The results showed that the visible difference could be found in the mineral contents among rice genotypes studied. The contents of Fe and Zn in traditional genotypes were significantly higher than those of improved cultivars. There was a negative correlation between grain yield and mineral contents. However, Fe, Zn, Mn, and Cu contents appeared to be positively correlated. The relationships between mineral element contents and cooking quality traits viz., kernel length after cooking and kernel linear elongation ratio were positively correlated, indicated the role of micronutrients in cooking quality traits. Both Fe and Cu contents were correlated positively and significantly with head rice recovery. The eigen values of 1st 6 principal components (PC) were > 1.0. The present study suggests that breeding for high minerals will be probably realistic.
Practical Application: The identified micronutrient rich rice genotypes could be used among malnourished children to improve their health. Further, it could be utilized to identify QTLs for iron, zinc, manganese, and copper elements.</description><subject>Biological and medical sciences</subject><subject>Cereal and baking product industries</subject><subject>Cooking</subject><subject>cooking quality</subject><subject>Copper</subject><subject>Correlation</subject><subject>Dietary Proteins - analysis</subject><subject>Food Handling - methods</subject><subject>Food industries</subject><subject>Food quality</subject><subject>Food science</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genetic Variation</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>grain quality</subject><subject>Heating</subject><subject>Iron</subject><subject>micronutrients</subject><subject>Minerals</subject><subject>Oryza - chemistry</subject><subject>Oryza - genetics</subject><subject>Phenotype</subject><subject>Plant Proteins - analysis</subject><subject>Rice</subject><subject>Seeds - chemistry</subject><subject>Seeds - genetics</subject><subject>Trace elements</subject><subject>Trace Elements - analysis</subject><subject>Zinc</subject><issn>0022-1147</issn><issn>1750-3841</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc9u1DAQxiMEokvhFZCFhIBDgp04sX1BQt3u0mpFKRQ4Wo4zEV7yZ7GTdsMJ8QA8JE-Ck10WiQv4Ys_4N59m5gsCRHBE_Hm-jghLcZhwSqIYExLhmCRptL0VzA4ft4MZxnEcEkLZUXDPuTUe4yS7GxzFMSUsyfAs-LGEpu2GjdHog7JGdaZtkGoK9BaqKXCfzMahHLobgAZd9qoy3YCurDKdm0D_1IBOK6ih8SnTjJnCjLWqmoizemPba_CaxpNPL-zwVSHn1a_Vz2_fV9EztG8C3P3gTqkqBw_293HwfnF6dfIqXF0sz05erkKd-QFDUWCu4rigaa5AYNCMZWlSZrzgmGWlBqxzrThnORV-Uq50zKlWtIRSaE1ochw82en6zr704DpZG6ehqlQDbe-kiLnAqcDsnyTngmIsJs1Hf5Hrtrd-CR5iPEtESoiH-A7StnXOQik31tTKDpJgOXor13K0UI4WytFbOXkrt7704V6_z2soDoW_zfTA4z2gnFZVaVWjjfvDUeK3kwrPvdhxN6aC4b8bkOeL-bvx6QXCnYBxHWwPAsp-lhlLWCo_vl5KnMzni_M3c3mZ_ALSaNA9</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Anandan, A.</creator><creator>Rajiv, G.</creator><creator>Eswaran, R.</creator><creator>Prakash, M.</creator><general>Blackwell Publishing Inc</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QR</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>201105</creationdate><title>Genotypic Variation and Relationships between Quality Traits and Trace Elements in Traditional and Improved Rice (Oryza sativa L.) Genotypes</title><author>Anandan, A. ; Rajiv, G. ; Eswaran, R. ; Prakash, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6175-9d08a22d45bae90ec77653f68d8076fce0cbca887b494178ac284ca4fef9cc143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological and medical sciences</topic><topic>Cereal and baking product industries</topic><topic>Cooking</topic><topic>cooking quality</topic><topic>Copper</topic><topic>Correlation</topic><topic>Dietary Proteins - analysis</topic><topic>Food Handling - methods</topic><topic>Food industries</topic><topic>Food quality</topic><topic>Food science</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genetic Variation</topic><topic>Genotype</topic><topic>Genotype & phenotype</topic><topic>grain quality</topic><topic>Heating</topic><topic>Iron</topic><topic>micronutrients</topic><topic>Minerals</topic><topic>Oryza - chemistry</topic><topic>Oryza - genetics</topic><topic>Phenotype</topic><topic>Plant Proteins - analysis</topic><topic>Rice</topic><topic>Seeds - chemistry</topic><topic>Seeds - genetics</topic><topic>Trace elements</topic><topic>Trace Elements - analysis</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anandan, A.</creatorcontrib><creatorcontrib>Rajiv, G.</creatorcontrib><creatorcontrib>Eswaran, R.</creatorcontrib><creatorcontrib>Prakash, M.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of food science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anandan, A.</au><au>Rajiv, G.</au><au>Eswaran, R.</au><au>Prakash, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genotypic Variation and Relationships between Quality Traits and Trace Elements in Traditional and Improved Rice (Oryza sativa L.) Genotypes</atitle><jtitle>Journal of food science</jtitle><addtitle>J Food Sci</addtitle><date>2011-05</date><risdate>2011</risdate><volume>76</volume><issue>4</issue><spage>H122</spage><epage>H130</epage><pages>H122-H130</pages><issn>0022-1147</issn><eissn>1750-3841</eissn><coden>JFDSAZ</coden><abstract>: In this study, we assessed the extent of genotypic differences among rice genotypes for grain size, milling quality, cooking properties, protein, and the mineral contents of Fe, Zn, Mn, and Cu in unpolished rice varieties. Further, relationship among grain quality traits and mineral contents was determined. The results showed that the visible difference could be found in the mineral contents among rice genotypes studied. The contents of Fe and Zn in traditional genotypes were significantly higher than those of improved cultivars. There was a negative correlation between grain yield and mineral contents. However, Fe, Zn, Mn, and Cu contents appeared to be positively correlated. The relationships between mineral element contents and cooking quality traits viz., kernel length after cooking and kernel linear elongation ratio were positively correlated, indicated the role of micronutrients in cooking quality traits. Both Fe and Cu contents were correlated positively and significantly with head rice recovery. The eigen values of 1st 6 principal components (PC) were > 1.0. The present study suggests that breeding for high minerals will be probably realistic.
Practical Application: The identified micronutrient rich rice genotypes could be used among malnourished children to improve their health. Further, it could be utilized to identify QTLs for iron, zinc, manganese, and copper elements.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>22417360</pmid><doi>10.1111/j.1750-3841.2011.02135.x</doi><tpages>9</tpages></addata></record> |
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| subjects | Biological and medical sciences Cereal and baking product industries Cooking cooking quality Copper Correlation Dietary Proteins - analysis Food Handling - methods Food industries Food quality Food science Fundamental and applied biological sciences. Psychology Genetic Variation Genotype Genotype & phenotype grain quality Heating Iron micronutrients Minerals Oryza - chemistry Oryza - genetics Phenotype Plant Proteins - analysis Rice Seeds - chemistry Seeds - genetics Trace elements Trace Elements - analysis Zinc |
| title | Genotypic Variation and Relationships between Quality Traits and Trace Elements in Traditional and Improved Rice (Oryza sativa L.) Genotypes |
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