西瓜苗期耐低温综合评价体系构建及指标筛选OA
Construction of a comprehensive evaluation system and screening of indi-cators for low-temperature tolerance of watermelon seedlings
本文旨在构建西瓜苗期耐低温性的综合评价体系并筛选关键指标,通过该体系能有效、准确地评价西瓜苗期的耐低温性,为耐低温品种选育和早春栽培提供理论与技术支撑.以 16 份遗传背景不同的西瓜材料为研究对象,通过设置 4、6、8、10℃低温胁迫处理,以 25℃常温处理为对照.以冷害指数为筛选指标确定最佳胁迫条件(6℃处理 3 d),测定该低温胁迫条件下幼苗的株高、叶长、叶宽、茎粗 4 项形态指标以及超氧化物歧化酶(SOD)活性、过氧化物酶(CAT)活性、丙二醛(MDA)含量、相对电导率(EC)和脯氨酸(Pro)含量 5 项生理指标的变化率.采用主成分分析(PCA)对指标进行降维和赋权,结合隶属函数法和聚类分析对供试材料的耐低温性进行综合评价与等级划分,并通过回归分析建立预测模型以筛选关键指标.通过主成分分析提取出 4 个主成分,累计贡献率达83.411%.通过综合评价(D 值)将 16 份材料划分为 3 类,其中 WMN009、WMN016 和 WMN003 为强耐低温型;WMN010、WMN002 等 9 份材料为中等耐低温型;WMN014、WMN005 等 4 份材料为低温敏感型.回归分析进一步筛选出 5 个关键指标(CAT 活性、SOD 活性、株高、叶长、相对电导率),并建立了可靠的耐低温性预测模型(Y=1.012-0.108X3+0.017X4+0.195X5+0.749X6-0.072X9,R²=0.983).本研究建立的综合评价体系与预测模型对提升西瓜苗期耐低温性评价的准确性与实用性具有重要实践价值.
This study aims to establish a comprehensive evaluation system for the low-temperature tolerance of watermel-on seedlings and screen key indicators.Through this system,the low-temperature tolerance of watermelon seedlings can be effectively and accurately evaluated,providing theoretical and technical support for the breeding of low-temperature tolerant varieties and early spring cultivation.Taking 16 watermelon materials with different genetic backgrounds as the research objects,the control was achieved by setting up low-temperature stress treatment at 4,6,8 and 10℃and normal temperature treatment at 25℃.The cold damage index was used as the screening index to determine the optimal stress conditions(treatment at 6℃for 3 days),and the change rate of four morphological indicators of seedlings,namely plant height,leaf length,leaf width and stem thickness,as well as five physiological indicators,namely superoxide dismutase(SOD)activity,peroxidase(CAT)activity,malondialdehyde(MDA)content,relative electrical conductivity and proline(Pro)content,under this low-temperature stress condition were measured.Principal component analysis(PCA)was adopt-ed to reduce the dimension and weight of the indicators.The low-temperature resistance of the test materials was compre-hensively evaluated and classified by combining the membership function method and cluster analysis.A prediction mod-el was established through regression analysis to screen the key indicators.Four principal components were extracted through principal component analysis,with a cumulative contribution rate of 83.411%.Through comprehensive evaluation(D value),16 materials were classified into 3 categories:WMN009,WMN016 and WMN003 are of strong low-tempera-ture resistance type;nine materials,including WMN010 and WMN002,are of medium low-temperature resistance type;four materials,namely WMN014 and WMN005,are of low-temperature sensitive type.Regression analysis further screened out five key indicators(CAT activity,SOD activity,plant height,leaf length,and relative electrical conductivi-ty),and established a reliable low-temperature tolerance prediction model(Y=1.012-0.108X3+0.017X4+0.195X5+0.749X6-0.072X9,R²=0.983).The comprehensive evaluation system and prediction model established in this study have important the value of practice in improving the accuracy and practicability of evaluating the low-temperature tolerance of watermelon seedlings.
海陶;史骏;张华峰;张蕾琛;胡紫蔚;应泉盛;何勇;王毓洪
浙江农林大学园艺科学学院 杭州 311300宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040浙江农林大学园艺科学学院 杭州 311300宁波市特色园艺作物品质调控和抗性育种重点实验室·宁波市农业科学研究院 浙江 宁波 315040
农业科技
西瓜低温胁迫耐低温评价预测模型
WatermelonLow-temperature stressLow-temperature resistance evaluationPredictive model
《中国瓜菜》 2026 (5)
38-47,10
宁波市重点研发计划暨"揭榜挂帅"项目(2023Z115)宁波市科技创新2025重大专项(2021Z132)国家西甜瓜产业技术体系(CARS-26)
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