云瑞甘蔗创新亲本抗旱性综合评价
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云南省应用基础研究项目(2015FA034);国家自然科学基金(31360358);云南省科技创新人才计划(2014HCO15);云南省甘蔗遗传改良重点实验室开放基金 (2015DG015-05、2015DG015-09);云南省农业科学院科技创新及成果转化(2018BB02901)


Comprehensive Evaluation of Innovative Yunrui Sugarcane Parents for Drought Resistance by Basic-cross
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Yunnan Applied Basic Research Project(2015FA034); National Natural Science Foundation of China(31360358); Technological Innovation Talent Scheme of Yunnan Province(2014HCO15);Yunnan Key Laboratory of Sugarcane Genetic Improvement Project(2015DG015-05 and 2015DG015-09); Technological Innovation and Achievements Transformation of Yunnan Academy and Agricultural Sciences(2018BB02901).

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    摘要:

    甘蔗基础杂交以种质创新为主,是甘蔗育种的基础和前提。为建立规范的云瑞甘蔗亲本抗旱性鉴定方法,并对所创造的具有新血缘的种质资源进行抗旱性评价。以36份云瑞创新亲本为研究材料,设置正常供水和水分胁迫两个处理,测定胁迫下甘蔗叶片质膜透性、丙二醛、脯氨酸、叶绿素荧光参数等12个性状指标,结合抗旱系数DC、综合抗旱系数CDC、加权抗旱系数WDC、主成分、隶属函数、聚类以及灰色关联度和逐步回归分析方法,对其抗旱性进行综合评价并筛选适宜指标。结果表明:干旱对甘蔗亲本各指标有极显著影响,配对处理t检验各指标处理间P=0.0001,所选指标对干旱胁迫响应较敏感;主成分分析表明7个主成分可代表甘蔗亲本抗旱性89.2686%的原始数据信息量,可概括为“光合作用因子”、“水分利用因子”和“生理调控因子”3类;系统聚类分析将36份亲本材料划分为高度抗旱型(Ⅰ)、中高度抗旱型(Ⅱ)、中度抗旱型(Ⅲ)、低度抗旱型(Ⅳ)和敏感型(Ⅴ)5类,所占比例分别为25%,25%,25%,13.9%,11.1%,筛选出云瑞14-195、云瑞15-88、云瑞11-98、云瑞11-256、云瑞15-158、云瑞14-78、云瑞13-26、云瑞12-137和云瑞15-73 共9份抗旱材料;通过灰色关联度分析和逐步回归分析,进一步明确了质膜透性、丙二醛、脯氨酸、自由水/束缚水等是甘蔗抗旱性评价的关键指标,可有效评价甘蔗种质抗旱性。为建立云瑞甘蔗亲本规范的抗旱鉴定体系,大规模筛选抗旱甘蔗种质资源提供科学依据。

    Abstract:

    Basic-cross is an approach mainly used for germplasm enhancement, which served as the basis and premise in sugarcane breeding. To establish a normative drought resistance identification system for Yunrui sugarcane parents and evaluate new blood parents from basic-crosses for drought resistance, thirty-six Yunrui sugarcane parents from basic-crossing were used as materials treated by artificial water stress, including normal water supply (as control) and water stress. Twelve indices including PMP, contents of MDA, PRO, chlorophyll fluoresence and other parameters were measured. Then drought resistance coefficient (DC), comprehensive drought resistance coefficient (CDC), drought resistance comprehensive evaluation value (D), weight drought resistance coefficient (WDC), subordinate function analysis, principal component analysis, clustering analysis, grey relational analysis and stepwise regression analysis were applied to identify the drought resistance level and screen its closely related indices. Firstly, the results indicated that moisture stress had significant effects on all indices at p value 0.0001, which suggested that drought stress was proper and all the indices selected were sensitive to drought. Secondly, the principal component analysis results revealed that seven principal components could represent 89.2686% of the original data information of sugarcane parents drought resistance. These factors could be divided into three groups and named photosynthesis factor, moisture utilization factor and physiological regulation factor. Thirdly, The clustering analysis results showed that thirty-six tested materials could be divided into five groups including high resistance to drought (groupⅠ), moderately high resistance to drought (groupⅡ), moderate resistance to drought (group Ⅲ), each accounting for 25% respectively, low resistance to drought (group Ⅳ) accounting for 13.9% and sensitive to drought (group Ⅴ) accounting for 11.1%. Nine elite materials Yunrui14-195, Yunrui15-88, Yunrui11-98, Yunrui11-256, Yunrui15-158, Yunrui14-78, Yunrui13-26, Yunrui12-137 and Yunrui15-73 were identified to have high resistance to drought. The grey relational analysis and stepwise regression analysis results further confirmed PMP, MDA, PRO and the proportion of free water and bound water were the key resistance indices with close correlation to drought, which could efficiently improve sugarcane drought resistance evaluation work. Thus, the established approach might become useful in large-scale screening for drought resistant sugarcane resources.

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田春艳,边芯,俞华先,等.云瑞甘蔗创新亲本抗旱性综合评价[J].植物遗传资源学报,2019,20(3):610-623.

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  • 收稿日期:2018-08-22
  • 最后修改日期:2019-03-14
  • 录用日期:2018-11-06
  • 在线发布日期: 2019-05-13
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