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Estimation of genetic parameters and prediction of breeding values for apple fruit-quality traits using pedigreed plant material in Europe
Genetic parameters for apple ( Malus x domestica ) fruit external traits (fruit size, ground colour, proportion of over colour and attractiveness) and sensory traits (firmness, crispness, texture, juiciness, flavour, sugar, acidity and global taste) were estimated using 2,207 pedigreed genotypes fro...
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Published in: | Tree genetics & genomes 2009, Vol.5 (4), p.659-672 |
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creator | Kouassi, A.B Durel, C.E Costa, F Tartarini, S Weg, W.E. van de Evans, K Fernandez-Fernandez, F Govan, C Boudichevskaja, A Dunemann, F Antofie, A Lateur, M Stankiewicz-Kosyl, M Soska, A Tomala, K Lewandowski, M Rutkovski, K Zurawicz, E Guerra, W Laurens, F |
description | Genetic parameters for apple (
Malus
x
domestica
) fruit external traits (fruit size, ground colour, proportion of over colour and attractiveness) and sensory traits (firmness, crispness, texture, juiciness, flavour, sugar, acidity and global taste) were estimated using 2,207 pedigreed genotypes from breeding programmes in six European countries. Data were scored for 3 years and four periods during storage. Analyses were performed with a restricted maximum likelihood method using VCE 5.1.2 software. Heritability estimates ranged from medium to high for instrumental traits. Genetic correlations between firmness and sugar were medium and low between firmness and acidity. Sensory traits showed low to high heritability, acidity and flavour being, respectively, the most and the less heritable. Global taste was strongly correlated with texture, juiciness, and flavour and relatively less correlated with crispness and acidity. Sensory sugar and acidity showed highly negative correlations whereas their instrumental measurements showed low and increasing positive correlations from harvest to 4 months post-harvest. Sugar exhibited a higher sensory/instrumental divergence. Conversely, instrumental and sensory firmness were highly correlated. Fruit external characteristics had medium heritability. Fruit attractiveness had highest and lowest correlations with fruit size and ground colour, respectively. Best linear unbiased predictors of breeding values were computed for all genotypes with the software PEST. The results were analysed with regard to the dynamic and the reliability of genetic parameters according to the scoring dates. Original issues of the study and the importance of the obtained results for efficient designs of further apple fruit quality breeding programmes were discussed. |
doi_str_mv | 10.1007/s11295-009-0217-x |
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Malus
x
domestica
) fruit external traits (fruit size, ground colour, proportion of over colour and attractiveness) and sensory traits (firmness, crispness, texture, juiciness, flavour, sugar, acidity and global taste) were estimated using 2,207 pedigreed genotypes from breeding programmes in six European countries. Data were scored for 3 years and four periods during storage. Analyses were performed with a restricted maximum likelihood method using VCE 5.1.2 software. Heritability estimates ranged from medium to high for instrumental traits. Genetic correlations between firmness and sugar were medium and low between firmness and acidity. Sensory traits showed low to high heritability, acidity and flavour being, respectively, the most and the less heritable. Global taste was strongly correlated with texture, juiciness, and flavour and relatively less correlated with crispness and acidity. Sensory sugar and acidity showed highly negative correlations whereas their instrumental measurements showed low and increasing positive correlations from harvest to 4 months post-harvest. Sugar exhibited a higher sensory/instrumental divergence. Conversely, instrumental and sensory firmness were highly correlated. Fruit external characteristics had medium heritability. Fruit attractiveness had highest and lowest correlations with fruit size and ground colour, respectively. Best linear unbiased predictors of breeding values were computed for all genotypes with the software PEST. The results were analysed with regard to the dynamic and the reliability of genetic parameters according to the scoring dates. Original issues of the study and the importance of the obtained results for efficient designs of further apple fruit quality breeding programmes were discussed.</description><identifier>ISSN: 1614-2942</identifier><identifier>EISSN: 1614-2950</identifier><identifier>DOI: 10.1007/s11295-009-0217-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Acidity ; Agricultural sciences ; Apples ; Biomedical and Life Sciences ; Biotechnology ; Forestry ; Fruits ; Genetics ; Genotypes ; information ; Life Sciences ; Original Paper ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; sensory interpretation ; Silviculture, forestry ; Studies ; Sugar ; Taste ; Tree Biology ; variance-components</subject><ispartof>Tree genetics & genomes, 2009, Vol.5 (4), p.659-672</ispartof><rights>Springer-Verlag 2009</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Wageningen University & Research</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-837f02d66e3412da727ac984138194198627f5c777828e419563d13d933d6393</citedby><cites>FETCH-LOGICAL-c444t-837f02d66e3412da727ac984138194198627f5c777828e419563d13d933d6393</cites><orcidid>0000-0003-3856-2837</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,778,782,883,4012,27906,27907,27908</link.rule.ids><backlink>$$Uhttps://hal.inrae.fr/hal-02668152$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Kouassi, A.B</creatorcontrib><creatorcontrib>Durel, C.E</creatorcontrib><creatorcontrib>Costa, F</creatorcontrib><creatorcontrib>Tartarini, S</creatorcontrib><creatorcontrib>Weg, W.E. van de</creatorcontrib><creatorcontrib>Evans, K</creatorcontrib><creatorcontrib>Fernandez-Fernandez, F</creatorcontrib><creatorcontrib>Govan, C</creatorcontrib><creatorcontrib>Boudichevskaja, A</creatorcontrib><creatorcontrib>Dunemann, F</creatorcontrib><creatorcontrib>Antofie, A</creatorcontrib><creatorcontrib>Lateur, M</creatorcontrib><creatorcontrib>Stankiewicz-Kosyl, M</creatorcontrib><creatorcontrib>Soska, A</creatorcontrib><creatorcontrib>Tomala, K</creatorcontrib><creatorcontrib>Lewandowski, M</creatorcontrib><creatorcontrib>Rutkovski, K</creatorcontrib><creatorcontrib>Zurawicz, E</creatorcontrib><creatorcontrib>Guerra, W</creatorcontrib><creatorcontrib>Laurens, F</creatorcontrib><title>Estimation of genetic parameters and prediction of breeding values for apple fruit-quality traits using pedigreed plant material in Europe</title><title>Tree genetics & genomes</title><addtitle>Tree Genetics & Genomes</addtitle><description>Genetic parameters for apple (
Malus
x
domestica
) fruit external traits (fruit size, ground colour, proportion of over colour and attractiveness) and sensory traits (firmness, crispness, texture, juiciness, flavour, sugar, acidity and global taste) were estimated using 2,207 pedigreed genotypes from breeding programmes in six European countries. Data were scored for 3 years and four periods during storage. Analyses were performed with a restricted maximum likelihood method using VCE 5.1.2 software. Heritability estimates ranged from medium to high for instrumental traits. Genetic correlations between firmness and sugar were medium and low between firmness and acidity. Sensory traits showed low to high heritability, acidity and flavour being, respectively, the most and the less heritable. Global taste was strongly correlated with texture, juiciness, and flavour and relatively less correlated with crispness and acidity. Sensory sugar and acidity showed highly negative correlations whereas their instrumental measurements showed low and increasing positive correlations from harvest to 4 months post-harvest. Sugar exhibited a higher sensory/instrumental divergence. Conversely, instrumental and sensory firmness were highly correlated. Fruit external characteristics had medium heritability. Fruit attractiveness had highest and lowest correlations with fruit size and ground colour, respectively. Best linear unbiased predictors of breeding values were computed for all genotypes with the software PEST. The results were analysed with regard to the dynamic and the reliability of genetic parameters according to the scoring dates. Original issues of the study and the importance of the obtained results for efficient designs of further apple fruit quality breeding programmes were discussed.</description><subject>Acidity</subject><subject>Agricultural sciences</subject><subject>Apples</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Forestry</subject><subject>Fruits</subject><subject>Genetics</subject><subject>Genotypes</subject><subject>information</subject><subject>Life Sciences</subject><subject>Original Paper</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Genetics and Genomics</subject><subject>sensory interpretation</subject><subject>Silviculture, forestry</subject><subject>Studies</subject><subject>Sugar</subject><subject>Taste</subject><subject>Tree Biology</subject><subject>variance-components</subject><issn>1614-2942</issn><issn>1614-2950</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kctu1TAQhiMEEqXwACyQLHYsAr4kdsyuqg4U6Qg23VtzEufgKnXcsdPLK_DUnShQdl2NPf6_8cz8VfVe8M-Cc_MlCyFtW3Nuay6Fqe9fVCdCi6amLH_5dG7k6-pNzlecN4ZrfVL92eUSrqGEObJ5ZEcffQk9S4Bw7YvHzCAOLKEfQv9PdEBP13hktzAtPrNxRgYpTZ6NuIRS3ywwhfLACkIomS151SZCjivI0gSxMPrTY4CJhch2C87Jv61ejTBl_-5vPK0uv-0uzy_q_a_vP87P9nXfNE2pO2VGLgetvWqEHMBIA73tGqE6YRthOy3N2PbGmE52nhKtVoNQg1Vq0Mqq0-rrVvYOaFpqzUcXAfuQ3QzBTeGAgA_ubkEXpzWk5ZCdslooSfCnDf4Nk0tImyPpil2c7d2a41LrTrTyVpD246ZNON_Qnoq7mheMNJrruoZrssmQSGyiHuec0Y9PVQV3q7Nuc9aRs2511t0TIzcmk5b6x_-Fn4M-bNAIs4Mj0rg_95ILyaW0tn3mndMqpXoEu6W56w</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Kouassi, A.B</creator><creator>Durel, C.E</creator><creator>Costa, F</creator><creator>Tartarini, S</creator><creator>Weg, W.E. van de</creator><creator>Evans, K</creator><creator>Fernandez-Fernandez, F</creator><creator>Govan, C</creator><creator>Boudichevskaja, A</creator><creator>Dunemann, F</creator><creator>Antofie, A</creator><creator>Lateur, M</creator><creator>Stankiewicz-Kosyl, M</creator><creator>Soska, A</creator><creator>Tomala, K</creator><creator>Lewandowski, M</creator><creator>Rutkovski, K</creator><creator>Zurawicz, E</creator><creator>Guerra, W</creator><creator>Laurens, F</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>1XC</scope><scope>QVL</scope><orcidid>https://orcid.org/0000-0003-3856-2837</orcidid></search><sort><creationdate>2009</creationdate><title>Estimation of genetic parameters and prediction of breeding values for apple fruit-quality traits using pedigreed plant material in Europe</title><author>Kouassi, A.B ; Durel, C.E ; Costa, F ; Tartarini, S ; Weg, W.E. van de ; Evans, K ; Fernandez-Fernandez, F ; Govan, C ; Boudichevskaja, A ; Dunemann, F ; Antofie, A ; Lateur, M ; Stankiewicz-Kosyl, M ; Soska, A ; Tomala, K ; Lewandowski, M ; Rutkovski, K ; Zurawicz, E ; Guerra, W ; Laurens, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-837f02d66e3412da727ac984138194198627f5c777828e419563d13d933d6393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acidity</topic><topic>Agricultural sciences</topic><topic>Apples</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Forestry</topic><topic>Fruits</topic><topic>Genetics</topic><topic>Genotypes</topic><topic>information</topic><topic>Life Sciences</topic><topic>Original Paper</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Genetics and Genomics</topic><topic>sensory interpretation</topic><topic>Silviculture, forestry</topic><topic>Studies</topic><topic>Sugar</topic><topic>Taste</topic><topic>Tree Biology</topic><topic>variance-components</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kouassi, A.B</creatorcontrib><creatorcontrib>Durel, C.E</creatorcontrib><creatorcontrib>Costa, F</creatorcontrib><creatorcontrib>Tartarini, S</creatorcontrib><creatorcontrib>Weg, W.E. van de</creatorcontrib><creatorcontrib>Evans, K</creatorcontrib><creatorcontrib>Fernandez-Fernandez, F</creatorcontrib><creatorcontrib>Govan, C</creatorcontrib><creatorcontrib>Boudichevskaja, A</creatorcontrib><creatorcontrib>Dunemann, F</creatorcontrib><creatorcontrib>Antofie, A</creatorcontrib><creatorcontrib>Lateur, M</creatorcontrib><creatorcontrib>Stankiewicz-Kosyl, M</creatorcontrib><creatorcontrib>Soska, A</creatorcontrib><creatorcontrib>Tomala, K</creatorcontrib><creatorcontrib>Lewandowski, M</creatorcontrib><creatorcontrib>Rutkovski, K</creatorcontrib><creatorcontrib>Zurawicz, E</creatorcontrib><creatorcontrib>Guerra, W</creatorcontrib><creatorcontrib>Laurens, F</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>NARCIS:Publications</collection><jtitle>Tree genetics & genomes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kouassi, A.B</au><au>Durel, C.E</au><au>Costa, F</au><au>Tartarini, S</au><au>Weg, W.E. van de</au><au>Evans, K</au><au>Fernandez-Fernandez, F</au><au>Govan, C</au><au>Boudichevskaja, A</au><au>Dunemann, F</au><au>Antofie, A</au><au>Lateur, M</au><au>Stankiewicz-Kosyl, M</au><au>Soska, A</au><au>Tomala, K</au><au>Lewandowski, M</au><au>Rutkovski, K</au><au>Zurawicz, E</au><au>Guerra, W</au><au>Laurens, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of genetic parameters and prediction of breeding values for apple fruit-quality traits using pedigreed plant material in Europe</atitle><jtitle>Tree genetics & genomes</jtitle><stitle>Tree Genetics & Genomes</stitle><date>2009</date><risdate>2009</risdate><volume>5</volume><issue>4</issue><spage>659</spage><epage>672</epage><pages>659-672</pages><issn>1614-2942</issn><eissn>1614-2950</eissn><abstract>Genetic parameters for apple (
Malus
x
domestica
) fruit external traits (fruit size, ground colour, proportion of over colour and attractiveness) and sensory traits (firmness, crispness, texture, juiciness, flavour, sugar, acidity and global taste) were estimated using 2,207 pedigreed genotypes from breeding programmes in six European countries. Data were scored for 3 years and four periods during storage. Analyses were performed with a restricted maximum likelihood method using VCE 5.1.2 software. Heritability estimates ranged from medium to high for instrumental traits. Genetic correlations between firmness and sugar were medium and low between firmness and acidity. Sensory traits showed low to high heritability, acidity and flavour being, respectively, the most and the less heritable. Global taste was strongly correlated with texture, juiciness, and flavour and relatively less correlated with crispness and acidity. Sensory sugar and acidity showed highly negative correlations whereas their instrumental measurements showed low and increasing positive correlations from harvest to 4 months post-harvest. Sugar exhibited a higher sensory/instrumental divergence. Conversely, instrumental and sensory firmness were highly correlated. Fruit external characteristics had medium heritability. Fruit attractiveness had highest and lowest correlations with fruit size and ground colour, respectively. Best linear unbiased predictors of breeding values were computed for all genotypes with the software PEST. The results were analysed with regard to the dynamic and the reliability of genetic parameters according to the scoring dates. Original issues of the study and the importance of the obtained results for efficient designs of further apple fruit quality breeding programmes were discussed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s11295-009-0217-x</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-3856-2837</orcidid></addata></record> |
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subjects | Acidity Agricultural sciences Apples Biomedical and Life Sciences Biotechnology Forestry Fruits Genetics Genotypes information Life Sciences Original Paper Plant Breeding/Biotechnology Plant Genetics and Genomics sensory interpretation Silviculture, forestry Studies Sugar Taste Tree Biology variance-components |
title | Estimation of genetic parameters and prediction of breeding values for apple fruit-quality traits using pedigreed plant material in Europe |
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