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Ozone flux-effect relationship for early and late sown Indian wheat cultivars: Growth, biomass, and yield
Field Crops Research ( IF 5.8 ) Pub Date : 2021-01-23 , DOI: 10.1016/j.fcr.2021.108076
Durgesh Singh Yadav , S.B. Agrawal , Madhoolika Agrawal

Precise ozone (O3) flux models remain helpful to identify the sensitivity of crops and their cultivars under high O3 levels by assessing biomass and yield losses under natural climate and future O3 levels. In this study, we have evaluated the effects of O3 on growth, biomass, and yield of four Indian wheat cultivars by exposure-linked as well as through flux-effect relationship-based analysis using two years of empirical data. Early and late sown cultivars were exposed to ambient O3 (AO3) and elevated O3 i.e., ambient+20 ppb (EO3). The POD6SPEC (species-specific phytotoxic O3 dose above a threshold of 6 nmol m−2 PLA s-1) on flag leaves for each cultivar and treatment was derived by using DO3SE (Deposition of Ozone for Stomatal Exchange) model. Above-ground biomass was reduced more in early sown cultivars (26.1 %) than late sown (21.3 %) because of the larger negative impacts on plant growth under EO3 treatment. Loss of grain yield under EO3 exposure was high in early sown cultivars (30.5 %) compared to late sown (23 %) due to high stomatal O3 uptake during the O3 exposure period. Based on model outputs, early sown cultivars showed higher accumulated POD6SPEC (1.6–3.75 mmol O3 m−2) compared to late sown cultivar (0.65 to 1.97 mmol m−2). A negative linear relationship was obtained in above-ground biomass and grain yield concerning POD6SPEC. The relationship showed that 0.284 mmol O3 m−2 accumulated POD6SPEC is responsible for a 5% reduction of grain yield in early sown cultivars, while 0.393 mmol O3 m-2 accumulation is required for a 5% reduction in yield of late sown cultivars. The results also suggest that O3 flux-effect relationship could be a valuable tool for assessing and predicting the risk of O3 on wheat cultivars in India and for crop productivity models for predicting climate change impacts.



中文翻译:

早播和晚播印度小麦品种的臭氧通量-效应关系:生长,生物量和产量

精确的臭氧(O 3)通量模型通过评估自然气候和未来O 3水平下的生物量和产量损失,仍有助于确定高O 3水平下农作物及其品种的敏感性。在这项研究中,我们使用两年的经验数据,通过暴露关联以及基于通量效应关系的分析,评估了O 3对四个印度小麦品种的生长,生物量和产量的影响。早播和晚播品种都暴露于环境O 3(AO 3)和升高的O 3,即环境+20 ppb(EO 3)。POD 6 SPEC(特定植物毒性O 3对于每个品种,旗叶上的剂量高于6 nmol m -2 PLA s -1的阈值,并通过使用DO 3 SE(用于气孔交换的臭氧沉积)模型得出处理结果。由于在EO 3处理下对植物生长的负面影响更大,因此早播品种(26.1%)的地上生物量减少量大于晚播品种(21.3%)。由于在O 3暴露期间气孔对O 3的摄取较高,因此,在早播品种中,EO 3暴露下的谷物产量损失较高(30.5%),而晚播品种(23%)较高。根据模型输出,早期播种的品种显示出更高的累积POD 6 SPEC(1.6–3.75 mmol O 3m -2)相比,晚播品种(0.65至1.97 mmol m -2)。与POD 6 SPEC有关的地上生物量与谷物产量之间呈负线性关系。该关系表明,在早期播种的品种中,积累的0.284 mmol O 3 m -2的POD 6 SPEC导致谷物产量降低5%,而为了使后期的产量降低5%,则需要积累0.393 mmol O 3 m -2。播种。结果还表明,O 3通量-效应关系可能是评估和预测O 3风险的有价值的工具 在印度的小麦品种上,以及用于预测气候变化影响的作物生产力模型。

更新日期:2021-01-24
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