Variability in the responses of rice ecotypes to elevated CO2 based on data from FACE studies in China and Japan: Implications for climate change adaptation
Weilu Wang , Xiaowu Yan , Yunxia Han , Weiyang Zhang , Hao Zhang , Lijun Liu
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引用次数: 0
Abstract
Elevated CO2 increases rice yields, and the response level varies across locations and genotypes. Previous analyses of genotypic variations from diverse Free-Air CO2 Enrichment (FACE) studies lacked specificity, limiting their applicability in simulating the responses of crop growth to elevated CO2. Using meta-analysis approach and the ORYZA (v3) model with historical and projected climatic data, this study evaluated the differences in the responses of rice ecotypes to elevated CO2 and identified adaptive measures. Meta-analytical findings indicated that Chinese inbred indica (indicai) and hybrid indica (indicah) rice exhibited comparable yield response rates (28.4% and 31.1%, respectively) to elevated CO2, surpassing those of Chinese japonica rice and Japanese indicai and japonica rice. Achieving higher adaptation to elevated CO2, exemplified by Chinese indicah rice, necessitates the consideration of balanced yield components, with individual contributions to yield responses ranging from 9.8% to 36.2%. This study highlighted the susceptibility of japonica rice to adverse effects of maximum temperatures on yield component responses to elevated CO2 compared to indicai or indicah rice. Strategic adjustments in sowing dates can enhance rice production under climate change, with high-response genotypes benefiting more from optimal sowing periods. Furthermore, for genotypes with less responsiveness to elevated CO2, augmenting nitrogen application in conjunction with sowing date adjustments was beneficial for yield optimization. This research not only advances our understanding of the diverse adaptation strategies of rice genotypes under varying climatic conditions but also enhances the precision of crop growth simulations by accounting for the varied responses to CO2 enrichment. These insights are pivotal for developing targeted breeding and management practices aimed at enhancing climate resilience in rice production.
二氧化碳升高可提高水稻产量,而不同地点和不同基因型的响应水平各不相同。以前的各种自由空气二氧化碳富集(FACE)研究对基因型变化的分析缺乏特异性,限制了它们在模拟作物生长对高浓度二氧化碳的响应方面的适用性。本研究利用元分析方法和ORYZA(v3)模型以及历史和预测气候数据,评估了水稻生态型对高浓度二氧化碳反应的差异,并确定了适应措施。元分析结果表明,中国近交籼稻和杂交籼稻对二氧化碳升高的产量响应率相当(分别为28.4%和31.1%),超过了中国粳稻和日本籼稻和粳稻。以中国籼稻为例,要实现对高浓度 CO2 的更高适应性,必须考虑均衡的产量成分,单个成分对产量响应的贡献率从 9.8% 到 36.2% 不等。这项研究强调,与籼稻或籼稻相比,粳稻易受最高气温对高浓度 CO2 的产量成分反应的不利影响。战略性调整播种期可提高气候变化下的水稻产量,高响应基因型可从最佳播种期中获益更多。此外,对于对二氧化碳升高反应较弱的基因型,在调整播种期的同时增加氮肥施用量有利于优化产量。这项研究不仅加深了我们对水稻基因型在不同气候条件下的不同适应策略的理解,而且通过考虑对二氧化碳富集的不同反应,提高了作物生长模拟的精确度。这些见解对于开发有针对性的育种和管理方法以提高水稻生产的气候适应性至关重要。