Labelling plants in the Chernobyl way: A new 137Cs and 14C foliar application approach to investigate rhizodeposition and biopore reuse
Labelling plants in the Chernobyl way: A new 137Cs and 14C foliar application approach to investigate rhizodeposition and biopore reuse
复制标题
以切尔诺贝利方式标记植物:一种新的 137Cs 和 14C 叶面施用方法,用于研究根际沉积和生物孔再利用
DOI:
10.1007/s11104-017-3260-7
复制
发表时间:
2017
期刊:
影响因子:
4.9
通讯作者:
Kuzyakov
中科院分区:
文献类型:
--
作者:
Banfield;Zarebanadkouki;Kuzyakov
Background and aimsBiopores as microbial hotspots provide additional nutrients to crops – but only if their roots grow within the biopores. Such reuse has never been quantified as pre-crop-specific biopores are hardly differentiated from the multitude of pre-existing biopores. Quantification requires e.g. radionuclide labelling of pre-crops (137Cs, to label their biopores) and main crops (14C, to detect new roots). Preliminary testing was performed on simulated biopore reuse: both nuclides given to the same plant were excreted into the same rhizosphere.MethodsCichorium intybus (cv.Puna) andMedicago sativa(cv. Planet) were each sequentially labelled via the leaves with137Cs and14CO2. β-signals were visualised by imaging of horizontal soil cuts - with and without shielding off the weaker14C.ResultsBoth species allocated 7.1–9.4% of the137Cs and 21–63% of the14C below ground. The first image gave both activities; while the second gave only137Cs. Subtracting the second from the first image gave the14C distribution, resulting in successful separation of the signals. Thus, separate spatial representations of the roots were obtained. Main root locations by137Cs and14C showed a very high spatial overlap coefficient (> 0.95).ConclusionsBiopore reuse quantification likely becomes feasible with this sequential labelling and shielding approach.
登录
查看更多内容
影响因子:
6.5
作者:
Han, Eusun;Kautz, Timo;Koepke, Ulrich
通讯作者:
Koepke, Ulrich
影响因子:
1.5
作者:
E. Amato;D. Lizio
通讯作者:
D. Lizio
影响因子:
4.9
作者:
Hirth, JR;McKenzie, BM;Tisdall, JM
通讯作者:
Tisdall, JM
影响因子:
9.7
作者:
Gunina, Anna;Dippold, Michaela A.;Kuzyakov, Yakov
通讯作者:
Kuzyakov, Yakov
影响因子:
6.5
作者:
Hoang, Duyen T. T.;Pausch, Johanna;Kuzyakov, Yakov
通讯作者:
Kuzyakov, Yakov