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不同氮肥处理下水稻功能叶片的多样性分析
引用本文:肖瑶,敬银钦,彭友林,张杰,陈永军,王学春,杨国涛,胡运高. 不同氮肥处理下水稻功能叶片的多样性分析[J]. 中国农学通报, 2018, 34(23): 1-11. DOI: 10.11924/j.issn.1000-6850.casb17090161
作者姓名:肖瑶  敬银钦  彭友林  张杰  陈永军  王学春  杨国涛  胡运高
作者单位:四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院生物学专业,四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院,四川省绵阳市西南科技大学生命科学与工程学院
基金项目:国家科技支撑计划项目“长江上游优质抗病种质创制与新品种选育”(2014BAD01B03-3);水稻生物学国家重点实验室开放课题“水稻耐低 温潜沼性逆境的机理与遗传特性研究”(160202);四川省省属高校科研创新团队建设计划项目“突破性水稻新材料的创制和应用”(14TD0011);国家 现代农业产业技术体系四川水稻创新团队岗位专家项目(川农业函[2014]91 号);西南科技大学博士基金项目“水稻镉积累的遗传分析与分子机理研 究”(15ZX7118)。
摘    要:以52份来自水稻种质资源库的水稻品种为材料,设正常施氮和不施氮两个处理,对供试品种的功能型叶片性状进行分析。结果表明,功能叶片形态特征受到品种基因型和外部施氮水平的共同影响和调控。供试材料在不同氮肥处理下,功能型叶片形态特征上存在丰富的遗传多样性。相关性分析表明,在不同处理条件下,倒一叶长与倒二叶长和倒三叶长均呈显著或极显著正相关;倒一叶宽与倒二叶宽和倒三叶宽均呈极显著正相关。通过主成分分析,在正常施氮和不施氮条件下分别获得3个主成分,累积贡献率分别达到94.5%和90.6%,通过对各品种进行综合评价,正常施氮条件下,排前5名的水稻材料分别为滇屯502、玉米稻、雅恢2115、谷梅3号和水源258;在不施氮条件下,排前5名的水稻材料分别为玉米稻、滇屯502、巴西稻、CDR22和谷梅3号。在水稻株型育种中,应注意利用具有丰富遗传多样性的种质资源,并在亲本选配时选择遗传距离较远且综合性状表现差异较大的种质材料。

关 键 词:气象服务  气象服务  测评  满意度  期望度  农业  
收稿时间:2017-09-29
修稿时间:2018-08-04

Diversity Analysis of Rice Functional Leaves Under Different Nitrogen Treatments
Abstract:This study aims to explore the diversity of different functional leaves of rice under different nitrogen fertilizer treatments, and provide a theoretical basis for selecting breeding materials with large genetic variation and large differences of agronomic traits. In this experiment, 52 rice varieties from rice germplasm resources were used as materials, and normal nitrogen and non-nitrogen treatments were set up to analyze the characters of functional leaves. The results showed that there was abundant genetic diversity of morphological characteristics of functional leaves under different nitrogen fertilizer treatments. Under different treatments, the length of the 1st functional leaf had significantly or extremely significant-positive correlation with the 2nd functional leaf and the 3rd functional leaf. The width of the 1st functional leaf had extremely significantpositive correlation with the 2nd functional leaf and the 3rd functional leaf. After principal component analysis, three principal components were obtained under normal nitrogen condition and non-nitrogen condition, the cumulative contribution rate was 94.5% and 90.6%, respectively. Through the comprehensive evaluation of every materials, the top five rice materials were‘Diantun 502’,‘Yumidao’,‘Yahui 2115’,‘Gumei 3’and This study aims to explore the diversity of different functional leaves of rice under different nitrogen fertilizer treatments, and provide a theoretical basis for selecting breeding materials with large genetic variation and large differences of agronomic traits. In this experiment, 52 rice varieties from rice germplasm resources were used as materials, and normal nitrogen and non-nitrogen treatments were set up to analyze the characters of functional leaves. The results showed that there was abundant genetic diversity of morphological characteristics of functional leaves under different nitrogen fertilizer treatments. Under different treatments, the length of the 1st functional leaf had significantly or extremely significant-positive correlation with the 2nd functional leaf and the 3rd functional leaf. The width of the 1st functional leaf had extremely significantpositive correlation with the 2nd functional leaf and the 3rd functional leaf. After principal component analysis, three principal components were obtained under normal nitrogen condition and non-nitrogen condition, the cumulative contribution rate was 94.5% and 90.6%, respectively. Through the comprehensive evaluation of every materials, the top five rice materials were‘Diantun 502’,‘Yumidao’,‘Yahui 2115’,‘Gumei 3’and ‘Shuiyuan 258’under the normal nitrogen condition, and the top five rice materials were‘Yumidao’,‘Diantun 502’,‘Baxidao’,‘CDR22’and‘Gumei 3’under the non-nitrogen condition. In rice plant type breeding, we should use germplasm resources with abundant genetic diversity and select germplasm materials with larger genetic distance and lager variation of comprehensive traits.
Keywords:Rice, Functional  leaves, Genetic  diversity, Cluster  analysis, Principal  component analysis
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