Article(id=1307627807723516719, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627793555157683, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2025.07.08, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1723996800000, receivedDateStr=2024-08-19, revisedDate=1729526400000, revisedDateStr=2024-10-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1789692363910, onlineDateStr=2026-09-18, pubDate=1752508800000, pubDateStr=2025-07-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789692363910, onlineIssueDateStr=2026-09-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789692363910, creator=13701087609, updateTime=1789692363910, updator=13701087609, issue=Issue{id=1307627793555157683, tenantId=1146029695717560320, journalId=1303687221787852879, year='2025', volume='45', issue='7', pageStart='F2', pageEnd='1002', issueExtLink='null', onlineDate='null', pubDate='1752508800000', pubDateStr='2025-07-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789692360533, creator='13701087609', updateTime=1789723603384, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1307758836459266839, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627793555157683, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1307758836459266840, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627793555157683, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=932, endPage=941, ext={EN=ArticleExt(id=1307627808344273712, articleId=1307627807723516719, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Analysis of Starch Granule Size Distribution and Pasting Properties of Wheat Grain in Huai River Region, columnId=1305133133406433355, journalTitle=Journal of Triticeae Crops, columnName=Physiology, Ecology and Cultivation, runingTitle=null, highlight=null, articleAbstract=

In order to understand the relationship between starch particle size distribution and pasting properties of wheat grains, 44 wheat varieties were used as materials in 2020-2021 and 2021-2022 to analyze the characteristics of starch particle size distribution, pasting properties and their relationship in wheat grains along the Huai River. The results showed that the volume of B-type starch granules accounted for 22.45%—45.06%, and the volume of A-type starch granules accounted for 54.94%—77.55% in wheat grains along the Huai River. The surface area of B-type starch granules accounted for 69.18%—84.45%, and the surface area of A-type starch granules accounted for 15.55%—30.82%. The number of B-type starch granules accounted for 99.76%—99.90%, and the number of A-type starch granules accounted for 0.10%—0.24%. The average peak viscosity of wheat in 2020—2021 and 2021—2022 were 888.24 and 985.64 cP, respectively, and the coefficient of variation were 18.11% and 17.98%, respectively. The average trough viscosity were 593.56 and 753.61 cP, respectively, and the coefficient of variation were 17.35% and 18.52%, respectively. The average values of final viscosity were 1 215.37 and 1 486.40 cP, and the variation coefficients were 15.20% and 15.91%, respectively. The coefficient of variation of wheat pasting parameters was greater than 10%, and the coefficient of variation of breakdown was the largest, which was 38.10% and 41.96%, respectively. Correlation analysis showed that the volume proportion of B-type starch granules was significant negatively correlated with peak viscosity (P<0.01). The volume proportion of A-type starch granules was significant positively correlated with peak viscosity, breakdown and trough viscosity (P<0.05). The results of principal component analysis showed that the proportion of A-type starch granule volume and B-type starch granule volume had a higher contribution rate to PC1 and PC2 components of the 44 wheat varieties. The results of cluster analysis showed that the 44 wheat varieties can be divided into three categories. The volume proportion of B-type starch granules in the first category of wheat varieties was the smallest, while the peak viscosity was the highest, and the final viscosity was second to the third category, including Yangmai 13 and Shengxuan 6. The second type of wheat varieties accounted for the largest proportion of B-type starch granule volume, and the peak viscosity and final viscosity were lower than those of the first and third types, including 11 wheat varieties such as Xinong 979 and Luyuan 502. The proportion of B-type starch granule volume in the third type of wheat varieties was between the first and second types, and the peak viscosity and final viscosity were higher, including 31 wheat varieties such as Yangmai 20 and Deyan 8.

, authors=Longfei XIAO1, 2, Peiwen ZHANG1, Wenyang LI1, Haojie LI1, Yudong YONG1, Shiya ZHANG1, Xiao ZHANG2, Suhui YAN1, authorsList=Longfei XIAO, Peiwen ZHANG, Wenyang LI, Haojie LI, Yudong YONG, Shiya ZHANG, Xiao ZHANG, Suhui YAN, authorCompany=null, correspAuthors=Xiao ZHANG, Suhui YAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1307627808784675633, articleId=1307627807723516719, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=沿淮地区小麦籽粒淀粉粒度分布与糊化特性分析, columnId=1305133133590982733, journalTitle=麦类作物学报, columnName=生理、生态与栽培, runingTitle=null, highlight=null, articleAbstract=

为了解沿淮地区小麦籽粒淀粉粒度分布特征及其与糊化特性的关系,于2020-2021年度和2021-2022年度,以沿淮地区44个小麦品种为材料,分析了小麦籽粒淀粉粒度分布特征、糊化特性及其相互关系。结果表明,沿淮地区小麦籽粒B型淀粉粒体积占比22.45%~45.06%,A型淀粉粒体积占比54.94%~77.55%;B型淀粉粒表面积占比69.18%~84.45%,A型淀粉粒表面积占比15.55%~30.82%;B型淀粉粒数目占比99.76%~99.90%,A型淀粉粒数目占比0.10%~0.24%。2021年和2022年44个小麦品种的峰值黏度平均值分别为888.24和985.64 cP,变异系数分别为18.11%和17.98%;低谷黏度平均值分别为593.56和753.61 cP,变异系数分别为17.35%和18.52%;最终黏度平均值分别为1 215.37和1 486.40 cP,变异系数分别为15.20%和15.91%。小麦糊化参数变异系数均大于10%,其中稀懈值变异系数最大,两个年度分别为38.10%和41.96%。经相关分析,B型淀粉粒体积占比与峰值黏度呈极显著负相关(P<0.01);A型淀粉粒体积占比与峰值黏度、稀懈值及低谷黏度呈极显著或显著(P<0.05)正相关。通过主成分分析,A型淀粉粒体积占比、B型淀粉粒体积占比对44个小麦品种PC1和PC2成分均有较高的贡献率。聚类分析,44个小麦品种可分为三类,第一类小麦品种B型淀粉粒体积占比最小,峰值黏度最高,最终黏度次于第三类,包括扬麦13、生选6号2个品种;第二类小麦品种B型淀粉粒体积占比最大,峰值黏度、最终黏度均低于第一类和第三类,包括西农979、鲁原502等11个品种;第三类小麦品种B型淀粉粒体积占比介于第一类和第二类之间,峰值黏度、最终黏度较高,包括扬麦20、德研8号等31个品种。

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沿淮地区小麦籽粒淀粉粒度分布与糊化特性分析
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肖龙飞 1, 2 , 张培文 1 , 李文阳 1 , 李浩杰 1 , 雍玉东 1 , 张士雅 1 , 张晓 2 , 闫素辉 1
麦类作物学报 | 生理、生态与栽培 2025,45(7): 932-941
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麦类作物学报 |生理、生态与栽培 2025 , 45 (7) : 932 -941
沿淮地区小麦籽粒淀粉粒度分布与糊化特性分析
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肖龙飞1, 2 , 张培文1, 李文阳1, 李浩杰1, 雍玉东1, 张士雅1, 张晓2 , 闫素辉1
作者信息
  • 1.安徽科技学院农学院,安徽 凤阳 233100
  • 2.江苏里下河地区农业科学研究所/农业部长江中下游小麦生物学与遗传育种重点实验室,江苏 扬州 225007
通讯作者:
E-mail: (闫素辉)
作者简介:

E-mail: (肖龙飞)

Analysis of Starch Granule Size Distribution and Pasting Properties of Wheat Grain in Huai River Region
Longfei XIAO1, 2 , Peiwen ZHANG1, Wenyang LI1, Haojie LI1, Yudong YONG1, Shiya ZHANG1, Xiao ZHANG2 , Suhui YAN1
Affiliations
  • 1.College of Agronomy, Anhui Science and Technology University, Fengyang, Anhui 233100, China
  • 2.Jiangsu Lixiahe Institute of Agricultural Sciences/Key Laboratory of Wheat Biology and Genetic Breeding in the Middle and Lower Reaches of the Yangtze River, Yangzhou, Jiangsu 225007, China
出版时间: 2025-07-15 doi: 10.7606/j.issn.1009-1041.2025.07.08
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为了解沿淮地区小麦籽粒淀粉粒度分布特征及其与糊化特性的关系,于2020-2021年度和2021-2022年度,以沿淮地区44个小麦品种为材料,分析了小麦籽粒淀粉粒度分布特征、糊化特性及其相互关系。结果表明,沿淮地区小麦籽粒B型淀粉粒体积占比22.45%~45.06%,A型淀粉粒体积占比54.94%~77.55%;B型淀粉粒表面积占比69.18%~84.45%,A型淀粉粒表面积占比15.55%~30.82%;B型淀粉粒数目占比99.76%~99.90%,A型淀粉粒数目占比0.10%~0.24%。2021年和2022年44个小麦品种的峰值黏度平均值分别为888.24和985.64 cP,变异系数分别为18.11%和17.98%;低谷黏度平均值分别为593.56和753.61 cP,变异系数分别为17.35%和18.52%;最终黏度平均值分别为1 215.37和1 486.40 cP,变异系数分别为15.20%和15.91%。小麦糊化参数变异系数均大于10%,其中稀懈值变异系数最大,两个年度分别为38.10%和41.96%。经相关分析,B型淀粉粒体积占比与峰值黏度呈极显著负相关(P<0.01);A型淀粉粒体积占比与峰值黏度、稀懈值及低谷黏度呈极显著或显著(P<0.05)正相关。通过主成分分析,A型淀粉粒体积占比、B型淀粉粒体积占比对44个小麦品种PC1和PC2成分均有较高的贡献率。聚类分析,44个小麦品种可分为三类,第一类小麦品种B型淀粉粒体积占比最小,峰值黏度最高,最终黏度次于第三类,包括扬麦13、生选6号2个品种;第二类小麦品种B型淀粉粒体积占比最大,峰值黏度、最终黏度均低于第一类和第三类,包括西农979、鲁原502等11个品种;第三类小麦品种B型淀粉粒体积占比介于第一类和第二类之间,峰值黏度、最终黏度较高,包括扬麦20、德研8号等31个品种。

小麦  /  淀粉粒  /  粒度分布  /  糊化参数

In order to understand the relationship between starch particle size distribution and pasting properties of wheat grains, 44 wheat varieties were used as materials in 2020-2021 and 2021-2022 to analyze the characteristics of starch particle size distribution, pasting properties and their relationship in wheat grains along the Huai River. The results showed that the volume of B-type starch granules accounted for 22.45%—45.06%, and the volume of A-type starch granules accounted for 54.94%—77.55% in wheat grains along the Huai River. The surface area of B-type starch granules accounted for 69.18%—84.45%, and the surface area of A-type starch granules accounted for 15.55%—30.82%. The number of B-type starch granules accounted for 99.76%—99.90%, and the number of A-type starch granules accounted for 0.10%—0.24%. The average peak viscosity of wheat in 2020—2021 and 2021—2022 were 888.24 and 985.64 cP, respectively, and the coefficient of variation were 18.11% and 17.98%, respectively. The average trough viscosity were 593.56 and 753.61 cP, respectively, and the coefficient of variation were 17.35% and 18.52%, respectively. The average values of final viscosity were 1 215.37 and 1 486.40 cP, and the variation coefficients were 15.20% and 15.91%, respectively. The coefficient of variation of wheat pasting parameters was greater than 10%, and the coefficient of variation of breakdown was the largest, which was 38.10% and 41.96%, respectively. Correlation analysis showed that the volume proportion of B-type starch granules was significant negatively correlated with peak viscosity (P<0.01). The volume proportion of A-type starch granules was significant positively correlated with peak viscosity, breakdown and trough viscosity (P<0.05). The results of principal component analysis showed that the proportion of A-type starch granule volume and B-type starch granule volume had a higher contribution rate to PC1 and PC2 components of the 44 wheat varieties. The results of cluster analysis showed that the 44 wheat varieties can be divided into three categories. The volume proportion of B-type starch granules in the first category of wheat varieties was the smallest, while the peak viscosity was the highest, and the final viscosity was second to the third category, including Yangmai 13 and Shengxuan 6. The second type of wheat varieties accounted for the largest proportion of B-type starch granule volume, and the peak viscosity and final viscosity were lower than those of the first and third types, including 11 wheat varieties such as Xinong 979 and Luyuan 502. The proportion of B-type starch granule volume in the third type of wheat varieties was between the first and second types, and the peak viscosity and final viscosity were higher, including 31 wheat varieties such as Yangmai 20 and Deyan 8.

Wheat  /  Granules  /  Size distribution  /  Pasting Properties
肖龙飞, 张培文, 李文阳, 李浩杰, 雍玉东, 张士雅, 张晓, 闫素辉. 沿淮地区小麦籽粒淀粉粒度分布与糊化特性分析. 麦类作物学报, 2025 , 45 (7) : 932 -941 . DOI: 10.7606/j.issn.1009-1041.2025.07.08
Longfei XIAO, Peiwen ZHANG, Wenyang LI, Haojie LI, Yudong YONG, Shiya ZHANG, Xiao ZHANG, Suhui YAN. Analysis of Starch Granule Size Distribution and Pasting Properties of Wheat Grain in Huai River Region[J]. Journal of Triticeae Crops, 2025 , 45 (7) : 932 -941 . DOI: 10.7606/j.issn.1009-1041.2025.07.08
  • 安徽省科技特派员项目(2023tpt035)
  • 安徽省现代农业产业技术体系建设专项(小麦)
  • 安徽自然科学基金项目(1408085MC48)
  • 安徽省高校协同创新项目(GXXT-2021-089)
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doi: 10.7606/j.issn.1009-1041.2025.07.08
  • 接收时间:2024-08-19
  • 首发时间:2026-09-18
  • 出版时间:2025-07-15
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  • 收稿日期:2024-08-19
  • 修回日期:2024-10-22
基金
安徽省科技特派员项目(2023tpt035)
安徽省现代农业产业技术体系建设专项(小麦)
安徽自然科学基金项目(1408085MC48)
安徽省高校协同创新项目(GXXT-2021-089)
作者信息
    1.安徽科技学院农学院,安徽 凤阳 233100
    2.江苏里下河地区农业科学研究所/农业部长江中下游小麦生物学与遗传育种重点实验室,江苏 扬州 225007

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E-mail: (闫素辉)
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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