王振昌,郭相平,黄双双,操信春,邱让建,刘春伟.水稻天然稳定碳、氮同位素组成与产量及品质的关系[J].农业机械学报,2016,47(12):160-171.
Wang Zhenchang,Guo Xiangping,Huang Shuangshuang,Cao Xinchun,Qiu Rangjian,Liu Chunwei.Relationships between Stable C and N Isotope Compositions of Rice Plants, Rice Yield and Quality[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(12):160-171.
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水稻天然稳定碳、氮同位素组成与产量及品质的关系   [下载全文]
Relationships between Stable C and N Isotope Compositions of Rice Plants, Rice Yield and Quality   [Download Pdf][in English]
投稿时间:2016-08-02  
DOI:10.6041/j.issn.1000-1298.2016.12.020
中文关键词:  水稻  稳定同位素  碳稳定同位素含量  氮稳定同位素含量  产量  品质
基金项目:国家自然科学基金项目(51079042、51309080、51509130、51309132)、中央高校基本科研业务费专项资金项目(2013B06014)和江苏省水利科技项目
作者单位
王振昌 河海大学 
郭相平 河海大学 
黄双双 河海大学 
操信春 河海大学 
邱让建 南京信息工程大学 
刘春伟 南京信息工程大学 
中文摘要:利用天然稳定同位素技术研究了不同灌溉方式下不同生育阶段碳、氮含量以及碳、氮稳定同位素组成与水稻产量及品质之间的关系。试验结果发现水稻产量与水稻黄熟期根系、茎秆以及叶片的δ13C值(碳稳定同位素组成)存在显著的相关关系(P<0.05);水稻籽粒的蛋白质含量以及垩白度和垩白率与水稻拔节期以及黄熟期根系、茎秆以及叶片的δ15N(氮稳定同位素组成)存在显著相关关系(P<0.05)。通过主成分分析(Principle component analysis, PCA)以及多元线性回归分析可知,水稻产量和品质均可通过不同时期、不同器官的碳、氮含量以及稳定同位素含量预测,表明水稻的产量和品质与水稻碳、氮含量以及碳、氮稳定同位素组成存在相关关系。PCA分析结果表明,前8个主成分(Principle components,PCs)能够解释水稻各器官碳、氮相关指标90.5%的变异。通过多元线性回归分析可知,不同时期、不同器官的碳、氮相关指标分别能够解释产量、粗蛋白含量、出糙率、垩白度、垩白率以及直链淀粉含量89%、62%、80%、86%、86%和68%的变异。结果表明,通过不同时期和不同器官的碳、氮含量以及稳定碳、氮同位素含量能够有效预测不同灌溉处理的水稻产量和相关品质。
Wang Zhenchang  Guo Xiangping  Huang Shuangshuang  Cao Xinchun  Qiu Rangjian  Liu Chunwei
Hohai University,Hohai University,Hohai University,Hohai University,Nanjing University of Information Science and Technology and Nanjing University of Information Science and Technology
Key Words:rice  stable isotope  δ13C  δ15N  yield  quality
Abstract:To study the relationships between stable C and N isotope compositions, C and N concentration of different organs during different growth stages and rice yield and quality under different irrigation regimes, experiment was conducted in the Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil Water Environment in Southern China, Ministry of Education, Nanjing, China, from May to October in 2013. Five treatments, including alternate flooding and light drought stress during tillering stage (T-LD), alternate flooding and heavy drought stress during tillering stage (T-HD), alternate flooding and light drought stress during jointing stage (J-LD), alternate flooding and heavy drought stress during jointing stage (J-HD) as well as control treatment (CK) with water depth being kept at 5 cm during the whole growth stage, were set up. Results indicated that rice yield had significant postive relationships with δ13C of root, stem and leaves of rice plants during rice ripening stage (P<0.05);the gross protein content of rice grains as well as chalky rice rate and chalkiness had significant relationships with δ15N of root, stem and leaves during jointing stage as well as ripening stage (P<0.05). The principal component analysis (PCA) was conducted for combination of the selected C and N related parameters, and the retained principal components (PCs) were used in stepwise regression with yield and quality parameters. PCA results showed that a maximum of 90.5% of the total variability in C and N related parameters was explained by the first eight PCs. The stepwise regression analysis indicated that C and N related parameters of different organs during different growth stages could explain 89%, 62%, 80%, 86%, 86% and 68% of total variance in rice grain yield (GY), gross protein content (GPC), brown rice rate(BRR), chalky grain rate (ChGR), chalkiness degree(ChD)and amylose content (AC), respectively. Results indicated that the selected C and N related parameters of different organs during jointing and rice ripening stages could accurately predict yield and quality of rice plant grown under different irrigation regimes.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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