Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut
[Objective] The aims was to construct peak sweet processing suitability evaluation model and determine the suitable varieties of peak sweet processing in chestnut. [Method] "Zaofeng", "Yah Long" etc. 15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory,...
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Veröffentlicht in: | Hunan agricultural science & technology newsletter : HASTN 2016-09, Vol.17 (9), p.2186-2194 |
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description | [Objective] The aims was to construct peak sweet processing suitability evaluation model and determine the suitable varieties of peak sweet processing in chestnut. [Method] "Zaofeng", "Yah Long" etc. 15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory, physicochemical nutrition and processing indexes. The correlation analysis, principal component analysis and cluster analysis were adopted to simplify and calculate the evaluation index, and set up the mathematical model. [Result] Obvious differences in different varieties of raw materials and products of each index and some indicators existed significant correlation relationship; principal component analysis determined the five principal components: hardness, b value, moisture content, total sugar, browning degree and edible rate or the core indicators of quality evaluation in peak sweet chestnut, and the establishment of products comprehensive value scoring model: Y=0.033 509 hardness +0.033 509 b value +0.f85 1'73 moisture content +0.208 983 total sugar +0.108 499 browning degree +0.430 327 ratio of feed, peak sweet chestnut quality and raw material associated model: Y=-1.109+0.015 ratio of good fruit -0.018 kernel hardness +0.008 starch, [Conclusion] Peak sweet chestnut processing suitability evaluation model can provide the basis for chestnut processing and the suitable processing of the chestnut breeding; "Yanguang", "Yan Long", "Yankui", are very suitable, and "Zibo", "Yah Ping" are more appropriate for peak sweet processing. |
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[Method] "Zaofeng", "Yah Long" etc. 15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory, physicochemical nutrition and processing indexes. The correlation analysis, principal component analysis and cluster analysis were adopted to simplify and calculate the evaluation index, and set up the mathematical model. [Result] Obvious differences in different varieties of raw materials and products of each index and some indicators existed significant correlation relationship; principal component analysis determined the five principal components: hardness, b value, moisture content, total sugar, browning degree and edible rate or the core indicators of quality evaluation in peak sweet chestnut, and the establishment of products comprehensive value scoring model: Y=0.033 509 hardness +0.033 509 b value +0.f85 1'73 moisture content +0.208 983 total sugar +0.108 499 browning degree +0.430 327 ratio of feed, peak sweet chestnut quality and raw material associated model: Y=-1.109+0.015 ratio of good fruit -0.018 kernel hardness +0.008 starch, [Conclusion] Peak sweet chestnut processing suitability evaluation model can provide the basis for chestnut processing and the suitable processing of the chestnut breeding; "Yanguang", "Yan Long", "Yankui", are very suitable, and "Zibo", "Yah Ping" are more appropriate for peak sweet processing.</description><identifier>ISSN: 1009-4229</identifier><language>eng</language><publisher>Changsha: Wu Chu (USA-China) Science and Culture Media Corporation</publisher><subject>主成分分析 ; 加工品种 ; 板栗 ; 模型构建 ; 水分含量 ; 籽粒硬度 ; 评价模型 ; 适宜性评价</subject><ispartof>Hunan agricultural science & technology newsletter : HASTN, 2016-09, Vol.17 (9), p.2186-2194</ispartof><rights>Copyright Wu Chu (USA-China) Science and Culture Media Corporation Sep 2016</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/87034A/87034A.jpg</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Guo, Haoning</creatorcontrib><creatorcontrib>Zhao, Yuhua</creatorcontrib><creatorcontrib>Chang, Xuedong</creatorcontrib><creatorcontrib>Yang, Bingfeng</creatorcontrib><creatorcontrib>Wu, Zanyi</creatorcontrib><title>Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut</title><title>Hunan agricultural science & technology newsletter : HASTN</title><addtitle>Agricultural Science & Technology</addtitle><description>[Objective] The aims was to construct peak sweet processing suitability evaluation model and determine the suitable varieties of peak sweet processing in chestnut. [Method] "Zaofeng", "Yah Long" etc. 15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory, physicochemical nutrition and processing indexes. The correlation analysis, principal component analysis and cluster analysis were adopted to simplify and calculate the evaluation index, and set up the mathematical model. [Result] Obvious differences in different varieties of raw materials and products of each index and some indicators existed significant correlation relationship; principal component analysis determined the five principal components: hardness, b value, moisture content, total sugar, browning degree and edible rate or the core indicators of quality evaluation in peak sweet chestnut, and the establishment of products comprehensive value scoring model: Y=0.033 509 hardness +0.033 509 b value +0.f85 1'73 moisture content +0.208 983 total sugar +0.108 499 browning degree +0.430 327 ratio of feed, peak sweet chestnut quality and raw material associated model: Y=-1.109+0.015 ratio of good fruit -0.018 kernel hardness +0.008 starch, [Conclusion] Peak sweet chestnut processing suitability evaluation model can provide the basis for chestnut processing and the suitable processing of the chestnut breeding; "Yanguang", "Yan Long", "Yankui", are very suitable, and "Zibo", "Yah Ping" are more appropriate for peak sweet processing.</description><subject>主成分分析</subject><subject>加工品种</subject><subject>板栗</subject><subject>模型构建</subject><subject>水分含量</subject><subject>籽粒硬度</subject><subject>评价模型</subject><subject>适宜性评价</subject><issn>1009-4229</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpFj11LwzAUhnuh4Jj7D0UvpZDT9CuXUucHTBxUvC1perJlq8mWpM79ezMneHXg5eE973MRTYAQlmRpyq6imXMbQggURQqsmkQ4_-LDyL0yOn41PQ5xbbTzdhS_kZHxEvk2bg6IPl5aI9A5pVdxMyrPOzUofzxBD0pKtKh9_MGtQq_QneJ6jc7r0V9Hl5IPDmd_dxo1j_P3-jlZvD291PeLRDCoEqQlypyFaXlW9EJI2RWs7HkBgouK5pDTPu9LKRkgYichGHAQvaA5o7Sj0-ju3HrgWnK9ajdmtDr8a9daH7cb_91iGtQJI1kV6NszvbNmP4ad_zhUORRZSrIyUDdnSqyNXu2Deruz6pPbY1uUBCooAegP3_RtfA</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Guo, Haoning</creator><creator>Zhao, Yuhua</creator><creator>Chang, Xuedong</creator><creator>Yang, Bingfeng</creator><creator>Wu, Zanyi</creator><general>Wu Chu (USA-China) Science and Culture Media Corporation</general><general>Hebei Normal University of Science and Technology, Changli 066600, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W95</scope><scope>~WA</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20160901</creationdate><title>Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut</title><author>Guo, Haoning ; Zhao, Yuhua ; Chang, Xuedong ; Yang, Bingfeng ; Wu, Zanyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c918-e37ef59662546dccffb697da61cac835153d5d7ff91eeebf1198a1cdc35933b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>主成分分析</topic><topic>加工品种</topic><topic>板栗</topic><topic>模型构建</topic><topic>水分含量</topic><topic>籽粒硬度</topic><topic>评价模型</topic><topic>适宜性评价</topic><toplevel>online_resources</toplevel><creatorcontrib>Guo, Haoning</creatorcontrib><creatorcontrib>Zhao, Yuhua</creatorcontrib><creatorcontrib>Chang, Xuedong</creatorcontrib><creatorcontrib>Yang, Bingfeng</creatorcontrib><creatorcontrib>Wu, Zanyi</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-农业科学</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</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 UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Agricultural 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>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Hunan agricultural science & technology newsletter : HASTN</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Haoning</au><au>Zhao, Yuhua</au><au>Chang, Xuedong</au><au>Yang, Bingfeng</au><au>Wu, Zanyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut</atitle><jtitle>Hunan agricultural science & technology newsletter : HASTN</jtitle><addtitle>Agricultural Science & Technology</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>17</volume><issue>9</issue><spage>2186</spage><epage>2194</epage><pages>2186-2194</pages><issn>1009-4229</issn><abstract>[Objective] The aims was to construct peak sweet processing suitability evaluation model and determine the suitable varieties of peak sweet processing in chestnut. [Method] "Zaofeng", "Yah Long" etc. 15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory, physicochemical nutrition and processing indexes. The correlation analysis, principal component analysis and cluster analysis were adopted to simplify and calculate the evaluation index, and set up the mathematical model. [Result] Obvious differences in different varieties of raw materials and products of each index and some indicators existed significant correlation relationship; principal component analysis determined the five principal components: hardness, b value, moisture content, total sugar, browning degree and edible rate or the core indicators of quality evaluation in peak sweet chestnut, and the establishment of products comprehensive value scoring model: Y=0.033 509 hardness +0.033 509 b value +0.f85 1'73 moisture content +0.208 983 total sugar +0.108 499 browning degree +0.430 327 ratio of feed, peak sweet chestnut quality and raw material associated model: Y=-1.109+0.015 ratio of good fruit -0.018 kernel hardness +0.008 starch, [Conclusion] Peak sweet chestnut processing suitability evaluation model can provide the basis for chestnut processing and the suitable processing of the chestnut breeding; "Yanguang", "Yan Long", "Yankui", are very suitable, and "Zibo", "Yah Ping" are more appropriate for peak sweet processing.</abstract><cop>Changsha</cop><pub>Wu Chu (USA-China) Science and Culture Media Corporation</pub><tpages>9</tpages></addata></record> |
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subjects | 主成分分析 加工品种 板栗 模型构建 水分含量 籽粒硬度 评价模型 适宜性评价 |
title | Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut |
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