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全球范围内磷对玉米潜在产量的限制

Limitation of Maize Potential Yield by Phosphorus at the Global Scale.

作者信息

Ringeval B, Demay J, Helfenstein J, Kvakić M, Mollier A, Seghouani M, Nesme T, Gerber J S, Mueller N D, Pellerin S

机构信息

ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, France.

Soil Geography and Landscape Group, Wageningen University & Research, Wageningen, the Netherlands.

出版信息

Glob Chang Biol. 2025 Sep;31(9):e70485. doi: 10.1111/gcb.70485.

Abstract

Phosphorus (P) is known as a major limiting factor of crop yields at the global scale. Previous estimates of the global P limitation are either based on statistical approaches or on complex global gridded crop models. Both failed to distinguish between P and the other limiting factors. Global gridded crop models, despite their complexities, omitted key mechanisms such as soil P dynamics or plant adjustments to P limitation (e.g., change in root:shoot ratio or in shoot P concentration). Thus, current approaches fail to quantify the contribution of P limitation to the global yield gap. Here, we developed a simple but mechanistic model (called GPCROP) that simulates the interactions between plant growth and soil P at a daily time step, all other factors being assumed non-limiting. The model explicitly represents key mechanisms such as the replenishment of the soil P solution by more stable soil P pools, the diffusion of P in soil, and plant adjustments to P limitation. We found that soil available P greatly limits the global maize potential production, even when that limitation was strongly alleviated by plant adjustment mechanisms. With and without these adjustments, maize global production would decrease by 78.9% (std = 17.3) and 92.7% (std = 7.4), respectively, compared to its potential production. We also found that the beginning of the growing season is a key period for P limitation as roots, not yet developed, cannot sustain the plant P demand. This suggests that earlier studies based on a comparison between annual averages of soil supply versus plant demand are not appropriate for assessing P limitation. Considerable uncertainties remain in our approach, and we especially stress the need to use global datasets of soil iron and aluminum (hydr)oxides, currently in development, to constrain the spatial variation of some key parameters driving the P concentration of the soil solution.

摘要

磷(P)是全球范围内作物产量的主要限制因素。先前对全球磷限制的估计要么基于统计方法,要么基于复杂的全球网格化作物模型。这两种方法都未能区分磷与其他限制因素。全球网格化作物模型尽管复杂,但忽略了一些关键机制,如土壤磷动态或植物对磷限制的调节(例如根冠比或地上部磷浓度的变化)。因此,目前的方法无法量化磷限制对全球产量差距的贡献。在此,我们开发了一个简单但基于机理的模型(称为GPCROP),该模型以每日时间步长模拟植物生长与土壤磷之间的相互作用,假定所有其他因素均无限制作用。该模型明确表示了一些关键机制,如更稳定的土壤磷库对土壤磷溶液的补充、磷在土壤中的扩散以及植物对磷限制的调节。我们发现,即使植物调节机制极大地缓解了这种限制,土壤有效磷仍极大地限制了全球玉米的潜在产量。与潜在产量相比,有和没有这些调节时,玉米全球产量将分别下降78.9%(标准差 = 17.3)和92.7%(标准差 = 7.4)。我们还发现,生长季开始阶段是磷限制的关键时期,因为尚未发育的根系无法满足植物对磷的需求。这表明,基于土壤供应与植物需求年平均值比较的早期研究不适用于评估磷限制。我们的方法仍存在相当大的不确定性,我们特别强调需要使用目前正在开发的全球土壤铁和铝(氢)氧化物数据集,以限制驱动土壤溶液磷浓度的一些关键参数的空间变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0f2/12439092/a3e82c6a5dba/GCB-31-e70485-g005.jpg

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