State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou, China.
Physiol Plant. 2021 Mar;171(3):416-423. doi: 10.1111/ppl.13246. Epub 2020 Nov 5.
Rising levels of atmospheric carbon dioxide (CO ) could, potentially, be exploited as a means to increase seed yield and maintain food security, especially for cereal grains. Although there have been multiple cultivar trials indicating that significant yield variation occurs, the basis for these differences has not been entirely elucidated. Here, we focus on two rice cultivars that differed in field trials to their yield sensitivity to elevated CO : Yangdao6hao (YD6), and Wuyunjing23 (W23) to assess whether observed yield differences (YD6 > W23) were associated with concurrent changes in leaf-level characteristics. At ambient levels of CO , leaf net photosynthesis (A) of YD6 was compatible with that of W23. However, at elevated CO , A was higher for YD6 relative to W23. The stability of leaf Rubisco content, biochemical characteristics (V and J ), nitrogen enzymatic activity, and chlorophyll concentration differed significantly, with greater values observed for YD6 relative to W23 at elevated CO . While such results are consistent with other studies, we also demonstrate that a higher ratio of carbon sinks (seed) to carbon sources (leaf), were linked to increases in cytokinins, and slower flag leaf senescence for the YD6 relative to the W23 cultivar at elevated CO . While additional data for a broader genetic selection are needed, the current study suggests a link between source/sink carbon assimilation, maintenance of photosynthetic biochemistry, and slower leaf senescence for rice cultivars that show a stronger yield response to projected CO levels. This information, in turn, may provide suitable metrics for future CO selection among rice cultivars.
大气中二氧化碳(CO )浓度的升高,可能被开发利用,作为提高种子产量和保障粮食安全的一种手段,尤其是对于谷类作物而言。虽然已经有多项品种试验表明,产量存在显著差异,但这些差异的基础尚未完全阐明。在这里,我们关注两个在大田试验中对 CO 升高的敏感性不同的水稻品种:扬稻 6 号(YD6)和武运粳 23(W23),以评估观察到的产量差异(YD6>W23)是否与叶片水平特征的同时变化有关。在 CO 浓度为大气水平时,YD6 的叶片净光合速率(A)与 W23 相匹配。然而,在 CO 浓度升高时,YD6 的 A 相对于 W23 更高。叶片 Rubisco 含量、生化特性(V 和 J )、氮酶活性和叶绿素浓度的稳定性差异显著,在 CO 浓度升高时,YD6 的这些特征值相对于 W23 更大。虽然这些结果与其他研究一致,但我们还表明,碳汇(种子)与碳源(叶片)的比率增加,与细胞分裂素的增加以及 CO 升高时 YD6 品种的旗叶衰老速度较慢有关。虽然需要更多针对更广泛遗传选择的数据,但本研究表明,在对预期 CO 水平表现出更强产量响应的水稻品种中,碳同化源/汇之间存在联系,维持了光合作用的生化特性,并减缓了叶片衰老。这一信息反过来又可以为未来 CO 选择水稻品种提供合适的指标。