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高夜温下二氧化碳响应缓解了水稻产量的损失。

Carbon dioxide responsiveness mitigates rice yield loss under high night temperature.

机构信息

Division of Plant Physiology, Indian Agricultural Research Institute, New Delhi 110012, India.

Centre for Advance Studies on Climate Change, Dr Rajendra Prasad Central Agricultural University, Samastipur 848125, India.

出版信息

Plant Physiol. 2022 Jan 20;188(1):285-300. doi: 10.1093/plphys/kiab470.

Abstract

Increasing night-time temperatures are a major threat to sustaining global rice (Oryza sativa L.) production. A simultaneous increase in [CO2] will lead to an inevitable interaction between elevated [CO2] (e[CO2]) and high night temperature (HNT) under current and future climates. Here, we conducted field experiments to identify [CO2] responsiveness from a diverse indica panel comprising 194 genotypes under different planting geometries in 2016. Twenty-three different genotypes were tested under different planting geometries and e[CO2] using a free-air [CO2] enrichment facility in 2017. The most promising genotypes and positive and negative controls were tested under HNT and e[CO2] + HNT in 2018. [CO2] responsiveness, measured as a composite response index on different yield components, grain yield, and photosynthesis, revealed a strong relationship (R2 = 0.71) between low planting density and e[CO2]. The most promising genotypes revealed significantly lower (P < 0.001) impact of HNT in high [CO2] responsive (HCR) genotypes compared to the least [CO2] responsive genotype. [CO2] responsiveness was the major driver determining grain yield and related components in HCR genotypes with a negligible yield loss under HNT. A systematic investigation highlighted that active selection and breeding for [CO2] responsiveness can lead to maintained carbon balance and compensate for HNT-induced yield losses in rice and potentially other C3 crops under current and future warmer climates.

摘要

夜间温度升高是维持全球水稻(Oryza sativa L.)生产的主要威胁。在当前和未来气候下,[CO2]的同时增加将不可避免地导致[CO2]升高(e[CO2])与高温夜间(HNT)之间的相互作用。在这里,我们在 2016 年进行了田间试验,以确定由包含 194 个基因型的不同籼稻品种组成的多样化群体对不同种植方式的[CO2]响应。在 2017 年,使用自由空气[CO2]富集设施,根据不同种植方式和 e[CO2]对 23 个不同基因型进行了测试。在 2018 年,对最有前途的基因型以及阳性和阴性对照进行了 HNT 和 e[CO2] + HNT 测试。[CO2]响应性,以不同产量构成、籽粒产量和光合作用的综合响应指数来衡量,显示出低种植密度与 e[CO2]之间的强关系(R2 = 0.71)。最有前途的基因型显示,与最不[CO2]响应的基因型相比,HCR 基因型中 HNT 的影响显著降低(P < 0.001)。[CO2]响应性是决定 HCR 基因型籽粒产量和相关构成的主要驱动因素,在 HNT 下,产量损失可忽略不计。系统的研究强调,积极选择和培育[CO2]响应性可以在当前和未来更温暖的气候下保持碳平衡,并补偿水稻和其他 C3 作物因 HNT 引起的产量损失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b96a/8774858/ec3da7fffcb0/kiab470f1.jpg

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