globalchange  > 气候变化与战略
CSCD记录号: CSCD:5553140
论文题名:
大豆产量形成对大气CO_2浓度升高响应的基因型差异
其他题名: The Response of Yield Formation to Elevated Atmospheric CO_2 in Different Soybean Cultivars
作者: 杨淞超1; 李彦生2; 刘长锴2; 刘晓冰2; 王光华2; 毛健伟2; 殷奎德3; 金剑2
刊名: 大豆科学
ISSN: 1000-9841
出版年: 2015
卷: 34, 期:5, 页码:13-24
语种: 中文
中文关键词: 气候变化 ; CO_2升高 ; 大豆产量 ; 产量组成
英文关键词: Climate change ; Elevated CO_2 ; Soybean yield ; Yield components
WOS学科分类: AGRONOMY
WOS研究方向: Agriculture
中文摘要: 为明确大气CO_2浓度升高对不同品种大豆产量形成的影响差异,本研究以正常大气CO_2浓度为对照,利用开顶式气候箱模拟大气CO_2浓度升高至550 mumol?mol~(-1),解析了1950 ~2006年间推广的8个大豆品种在CO_2浓度550 mumol?mol~(-1)条件下的产量形成差异。结果表明:大气CO_2浓度升高后,大豆地上生物量平均增加46.1%,产量平均增加37.8%;不同大豆品种产量增加幅度存在差异,增幅最小的品种合交4号仅为0.6%,增幅最大的品种小黄金达到95.3%;CO_2浓度升高对收获指数影响不大,只有绥农9号显著增加。大豆产量构成要素在大气CO_2浓度升高后也有所增加,株高平均增加15 cm,节数增加未达到显著水平(P >0.05);大豆的总荚数和粒数增加明显,分别增加了42.9%和37.0%。不同产量构成要素对大豆高CO_2条件下的产量增加的贡献不同,相关分析证明三粒荚数、总荚数和粒数的增加与大豆产量增加具有显著相关关系(P <0.05)。利用逐步回归法分析发现大气CO_2升高后大豆产量的增加幅度可以用粒数和产量间的回归方程进行估计y=0.175x+0.102(P<0.05;R~2 =0.792)。
英文摘要: The soybean yield formation in response to the elevated CO_2 (eCO_2) was analyzed in open top chamber (OTC) simulation systems using 8 soybean cultivars which were released in 1950-2006. Results showed that above ground biomass increased by 46.1% and yield increased by 37.8% across 8 soybean cultivars when the concentrations of atmospheric CO_2 increased up to 550 mumol ? mol~(-1). The yield response to eCO_2 varied in the 8 soybean cultivars. The minimum increase was only 0.6% in Hejiao 4 hao, while the maximum was 95.3% in Xiaohuangjin. The effect of eCO_2 on harvest index was not significant except for Suinong 9 hao. Yield components of soybean were also increased under eCO_2. Average plant height of 8 soybean cultivars was increased by 15 cm, while the soybean node number did not change significantly (P >0.05). The pod number and seed number increased by 42.9% and 37.0% under eCO_2 on average, respectively. This study also found that the contribution of yield components to soybean yield increase under eCO_2 differed. Under eCO_2, the increase of the 3-seed pod number,total pod number and seed number were significant correlated (P < 0.05). Due to the significant contribution of seed number to yield, the increase of yield under eCO_2 could be estimated by a model of y =0.175x +0.102 (P < 0.05; R~2 = 0.792),which was obtained through stepwise regression analysis.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/149058
Appears in Collections:气候变化与战略

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作者单位: 1.黑龙江八一农垦大学生命科学技术学院, 中国科学院黑土区农业生态重点实验室, 大庆, 黑龙江 163319, 中国
2.中国科学院东北地理与农业生态研究所, 中国科学院黑土区农业生态重点实验室, 哈尔滨, 黑龙江 150081, 中国
3.黑龙江八一农垦大学生命科学技术学院, 大庆, 黑龙江 163319, 中国

Recommended Citation:
杨淞超,李彦生,刘长锴,等. 大豆产量形成对大气CO_2浓度升高响应的基因型差异[J]. 大豆科学,2015-01-01,34(5):13-24
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