Key drivers of phosphorus use efficiency (PUE) in a dryland cropping system

IF 6.4 1区 农林科学 Q1 AGRONOMY
Bianca Tara Das, Susanne Schmidt, Matthew Tom Harrison, Ian Hunt, Jody Scott Biggs, Neil Ian Huth
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Abstract

Increasing phosphorus (P) fertiliser use efficiency (PUE) is essential for addressing global nutrition security, food production costs, and environmental pollution. However, a myriad of soil × climate × crop × management interactions control PUE and adaptive tools are needed to put this complexity into context at the field scale. We conducted a Morris global sensitivity analysis on an evaluated agricultural system model (APSIM) across 132 years of climate data to identify important drivers of PUE in a subtropical dryland cropping system. We selected soil, crop, and management parameters to understand their influence on yield, biomass, and grain P export as measures of PUE in a subtropical wheat crop. We then examined three P fertility scenarios ranging from low to high (10, 40, 70 mg available P kg−1 at 0–10 cm, with subsoils to 180 cm at 9–10 mg available P kg−1) resulting in 1,782,000 simulations. In scenarios with medium or high P fertility and higher in-crop rainfall (> 200 mm), nitrogen (N) fertiliser was the most important driver for increasing yield and associated PUE. At low P fertility and lower in-crop rainfall (< 200 mm), P fertiliser and P sorption isotherm parameters were the most important drivers. This highlighted potential constraints to PUE analysis in the region if rainfall data is not available, and to modelling activities if P isotherm data is not available. Our study is the first to use a Morris global sensitivity analysis method for defining the influence of N and P fertiliser, and in-crop rainfall, as short-term (year–year) drivers of PUE. This method may be adapted to investigate emerging challenges in increasing PUE in other agricultural systems, but future research should include interactions with deep P banding, the effects of climate change, and demonstrate drivers over the longer-term (5–10 years).

Abstract Image

旱地种植系统磷利用效率的主要驱动因素
提高磷肥利用效率对于解决全球营养安全、粮食生产成本和环境污染问题至关重要。然而,无数的土壤×气候×作物×管理的相互作用控制PUE和适应性工具需要把这种复杂性在田间规模的背景下。研究人员利用评估农业系统模型(APSIM)对132年气候数据进行了Morris全球敏感性分析,以确定亚热带旱地种植系统PUE的重要驱动因素。我们选择土壤、作物和管理参数来了解它们对产量、生物量和粮食磷输出的影响,作为衡量亚热带小麦PUE的指标。然后,我们研究了从低到高的三种磷肥力情景(0-10 cm处有效磷kg - 1为10、40、70 mg,底土至180 cm处有效磷kg - 1为9-10 mg),结果模拟了1,782,000次。在中磷或高磷肥力和较高作物内降雨量的情况下(>200 mm),氮肥是提高产量和相关PUE的最重要驱动因素。在低磷肥力和低作物内降雨量(<200 mm)、施磷肥和磷吸附等温线参数是最重要的驱动因素。这突出表明,如果没有降雨数据,该地区的PUE分析可能受到限制,如果没有P等温线数据,则会影响建模活动。我们的研究首次使用莫里斯全球敏感性分析方法来定义氮肥和磷肥以及作物内降雨的影响,作为PUE的短期(年)驱动因素。这种方法可能适用于调查其他农业系统中PUE增加的新挑战,但未来的研究应包括与深磷带的相互作用,气候变化的影响,并证明长期(5-10年)的驱动因素。
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来源期刊
Agronomy for Sustainable Development
Agronomy for Sustainable Development 农林科学-农艺学
CiteScore
10.70
自引率
8.20%
发文量
108
审稿时长
3 months
期刊介绍: Agronomy for Sustainable Development (ASD) is a peer-reviewed scientific journal of international scope, dedicated to publishing original research articles, review articles, and meta-analyses aimed at improving sustainability in agricultural and food systems. The journal serves as a bridge between agronomy, cropping, and farming system research and various other disciplines including ecology, genetics, economics, and social sciences. ASD encourages studies in agroecology, participatory research, and interdisciplinary approaches, with a focus on systems thinking applied at different scales from field to global levels. Research articles published in ASD should present significant scientific advancements compared to existing knowledge, within an international context. Review articles should critically evaluate emerging topics, and opinion papers may also be submitted as reviews. Meta-analysis articles should provide clear contributions to resolving widely debated scientific questions.
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