Optimal sampling strategies for evaluating fruit softening after harvest in apple breeding
Environmental variance components associated with year, tree, and harvest date were estimated for fruit softening after harvest in apple (Malus × domestica Borkh.) to determine their relative importance and design optimum sampling strategies to discriminate genotypes in apple breeding. Fruit were st...
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| Veröffentlicht in: | Euphytica 2005-07, Vol.144 (1-2), p.169-175 |
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| creator | Iwanami, H Ishiguro, M Kotoda, N Takahashi, S Soejima, J |
| description | Environmental variance components associated with year, tree, and harvest date were estimated for fruit softening after harvest in apple (Malus × domestica Borkh.) to determine their relative importance and design optimum sampling strategies to discriminate genotypes in apple breeding. Fruit were stored after harvest under 20± 2 ^sup ^C and 80± 5%RH. Softening was evaluated by adapting the change in firmness during storage to a linear regression and defining the regression coefficient as the softening rate. Environmental variances associated with genotype × year interaction, among trees, year × tree interaction, and among harvest dates were all very small, namely, 2.7, 0.1, 5.2, and 5.7%, respectively, to the total variance obtained from the analysis of variance for the softening rate. The variance associated with genotype, at 57.3%, was very large. On the basis of the number of fruit necessary for firmness measurements, two times harvest is an efficient strategy to determine a genotype mean for the softening.[PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1007/s10681-005-5340-7 |
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Fruit were stored after harvest under 20± 2 ^sup ^C and 80± 5%RH. Softening was evaluated by adapting the change in firmness during storage to a linear regression and defining the regression coefficient as the softening rate. Environmental variances associated with genotype × year interaction, among trees, year × tree interaction, and among harvest dates were all very small, namely, 2.7, 0.1, 5.2, and 5.7%, respectively, to the total variance obtained from the analysis of variance for the softening rate. The variance associated with genotype, at 57.3%, was very large. 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Fruit were stored after harvest under 20± 2 ^sup ^C and 80± 5%RH. Softening was evaluated by adapting the change in firmness during storage to a linear regression and defining the regression coefficient as the softening rate. Environmental variances associated with genotype × year interaction, among trees, year × tree interaction, and among harvest dates were all very small, namely, 2.7, 0.1, 5.2, and 5.7%, respectively, to the total variance obtained from the analysis of variance for the softening rate. The variance associated with genotype, at 57.3%, was very large. On the basis of the number of fruit necessary for firmness measurements, two times harvest is an efficient strategy to determine a genotype mean for the softening.[PUBLICATION ABSTRACT]</description><subject>Agronomy. Soil science and plant productions</subject><subject>apple softening</subject><subject>Apples</subject><subject>Biological and medical sciences</subject><subject>environmental factors</subject><subject>firmness</subject><subject>fruit quality</subject><subject>Fruits</subject><subject>Fundamental and applied biological sciences. 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Soil science and plant productions</topic><topic>apple softening</topic><topic>Apples</topic><topic>Biological and medical sciences</topic><topic>environmental factors</topic><topic>firmness</topic><topic>fruit quality</topic><topic>Fruits</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genetics and breeding of economic plants</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>harvest date</topic><topic>Malus</topic><topic>Malus domestica</topic><topic>plant breeding</topic><topic>postharvest physiology</topic><topic>sampling</topic><topic>storage quality</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iwanami, H</creatorcontrib><creatorcontrib>Ishiguro, M</creatorcontrib><creatorcontrib>Kotoda, N</creatorcontrib><creatorcontrib>Takahashi, S</creatorcontrib><creatorcontrib>Soejima, J</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</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 Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><jtitle>Euphytica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iwanami, H</au><au>Ishiguro, M</au><au>Kotoda, N</au><au>Takahashi, S</au><au>Soejima, J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal sampling strategies for evaluating fruit softening after harvest in apple breeding</atitle><jtitle>Euphytica</jtitle><date>2005-07-01</date><risdate>2005</risdate><volume>144</volume><issue>1-2</issue><spage>169</spage><epage>175</epage><pages>169-175</pages><issn>0014-2336</issn><eissn>1573-5060</eissn><coden>EUPHAA</coden><abstract>Environmental variance components associated with year, tree, and harvest date were estimated for fruit softening after harvest in apple (Malus × domestica Borkh.) to determine their relative importance and design optimum sampling strategies to discriminate genotypes in apple breeding. 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| subjects | Agronomy. Soil science and plant productions apple softening Apples Biological and medical sciences environmental factors firmness fruit quality Fruits Fundamental and applied biological sciences. Psychology Genetics and breeding of economic plants Genotype & phenotype Genotypes harvest date Malus Malus domestica plant breeding postharvest physiology sampling storage quality Variance analysis |
| title | Optimal sampling strategies for evaluating fruit softening after harvest in apple breeding |
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