APSIM-based modeling approach to understand sorghum production environments in Mali

IF 6.4 1区 农林科学 Q1 AGRONOMY Agronomy for Sustainable Development Pub Date : 2024-04-22 DOI:10.1007/s13593-023-00909-5
Madina Diancoumba, Jana Kholová, Myriam Adam, Mahamoudou Famanta, Benoît Clerget, Pierre C. S. Traore, Eva Weltzien, Michel Vacksmann, Greg McLean, Graeme L. Hammer, Erik J. van Oosterom, Vincent Vadez
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Abstract

Sorghum production system in the semi-arid region of Africa is characterized by low yields which are generally attributed to high rainfall variability, poor soil fertility, and biotic factors. Production constraints must be well understood and quantified to design effective sorghum-system improvements. This study uses the state-of-the-art in silico methods and focuses on characterizing the sorghum production regions in Mali for drought occurrence and its effects on sorghum productivity. For this purpose, we adapted the APSIM-sorghum module to reproduce two cultivated photoperiod-sensitive sorghum types across a latitude of major sorghum production regions in Western Africa. We used the simulation outputs to characterize drought stress scenarios. We identified three main drought scenarios: (i) no-stress; (ii) early pre-flowering drought stress; and (iii) drought stress onset around flowering. The frequency of drought stress scenarios experienced by the two sorghum types across rainfall zones and soil types differed. As expected, the early pre-flowering and flowering drought stress occurred more frequently in isohyets < 600 mm, for the photoperiod-sensitive, late-flowering sorghum type. In isohyets above 600 mm, the frequency of drought stress was very low for both cultivars. We quantified the consequences of these drought scenarios on grain and biomass productivity. The yields of the highly-photoperiod-sensitive sorghum type were quite stable across the higher rainfall zones > 600 mm, but was affected by the drought stress in the lower rainfall zones < 600 mm. Comparatively, the less photoperiod-sensitive cultivar had notable yield gain in the driest regions < 600 mm. The results suggest that, at least for the tested crop types, drought stress might not be the major constraint to sorghum production in isohyets > 600 mm. The findings from this study provide the entry point for further quantitative testing of the Genotype × Environment × Management options required to optimize sorghum production in Mali.

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基于 APSIM 的建模方法,了解马里的高粱生产环境
非洲半干旱地区高粱生产系统的特点是产量低,这通常归因于降雨量变化大、土壤肥力差以及生物因素。要设计有效的高粱系统改进方案,必须充分了解并量化生产制约因素。本研究采用最先进的硅学方法,重点研究马里高粱产区干旱发生的特征及其对高粱生产率的影响。为此,我们调整了 APSIM-高粱模块,在非洲西部主要高粱产区的纬度上再现了两种对光周期敏感的栽培型高粱。我们利用模拟输出来描述干旱胁迫情景。我们确定了三种主要的干旱情景:(i) 无胁迫;(ii) 花前早期干旱胁迫;(iii) 开花前后干旱胁迫。两种高粱在不同降雨带和土壤类型中遭遇干旱胁迫的频率各不相同。正如预期的那样,对光周期敏感的晚花高粱在等降雨量大于等于 600 毫米时更容易受到花前和花期的干旱胁迫。在 600 毫米以上的等湿度条件下,两种高粱品种的干旱胁迫发生频率都很低。我们量化了这些干旱情况对谷物和生物量生产率的影响。高光周期敏感型高粱的产量在降雨量大于等于 600 毫米的高降雨区内相当稳定,但在降雨量小于等于 600 毫米的低降雨区内则受到干旱胁迫的影响。相比之下,光周期敏感性较低的栽培品种在最干旱地区< 600 mm时增产显著。研究结果表明,至少对于受测作物类型而言,干旱胁迫可能不是等降雨量< 600毫米地区高粱生产的主要制约因素。这项研究的结果为进一步定量测试马里高粱生产优化所需的基因型 × 环境 × 管理方案提供了切入点。
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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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