Stagnating rice yields in China need to be overcome by cultivars and management improvements

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-18 DOI:10.1016/j.agsy.2024.104134
Huimin Zhuang , Zhao Zhang , Jichong Han , Fei Cheng , Shaokun Li , Huaqing Wu , Qinghang Mei , Jie Song , Xinyu Wu , Zongliang Zhang , Jialu Xu
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Abstract

CONTEXT

Understanding the dynamics of potential yields, actual yields, and their drivers is vital for developing sustainable agricultural management practices. Previous studies on rice in China, focusing on either limited experiments, limited driving factors, or short-term periods, reached inconsistent conclusions.

OBJECTIVE

We tried to investigate annual dynamics of rice potential yields, actual yields, and their gaps to distinguish the contributions of climate and technology to yield increases in major rice cultivation areas across China.

METHODS

Herein, using valuable field trials from 1981 to 2018 across 205 agro-meteorological stations and the crop model CERES-Rice, we explored the spatiotemporal trends of rice yields and quantitively separated the contributions of various factors to yield increases across mainland China.

RESULTS AND CONCLUSIONS

A contrasting trend in potential yields was observed, with a decline in the Middle and Lower Reaches of the Yangtze River (MLRYR, −22.4 kg ha−1 y−1) and an increase in the Northeastern China Plain (NECP, 20.0 kg ha−1 y−1). Despite varying regional trends, the national yield gap narrowed to 27 % in 2018. Technological advances were the primary drivers (37.3 kg ha−1 y−1) of yield increases in most areas compared to climate impact (−2.6 kg ha−1 y−1). Particularly in the MLRYR, technological improvements have offset the negative impacts of climate change. Cultivars improvement contributed (14 %–22 %) more than water and fertilizer management did in the main rice-producing regions.

SIGNIFICANCE

Our findings discover the evolving patterns of potential rice yields across China and the underlying drivers, providing scientific evidence for hindering rice yield stagnations by cultivars improvements and field management optimizations.

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中国水稻产量停滞不前,需要通过改进栽培品种和管理加以克服
背景了解潜在产量、实际产量及其驱动因素的动态变化对于制定可持续的农业管理措施至关重要。我们试图研究水稻潜在产量、实际产量及其差距的年度动态,以区分气候和技术对中国主要水稻种植区增产的贡献。方法在此,我们利用 1981 年至 2018 年 205 个农业气象站的宝贵田间试验和作物模型 CERES-Rice,探讨了中国大陆水稻单产的时空变化趋势,并定量区分了各种因素对水稻增产的贡献。结果与结论观察到潜在单产的对比趋势,长江中下游地区单产下降(MLRYR,-22.4 kg ha-1 y-1),而东北平原地区单产增加(NECP,20.0 kg ha-1 y-1)。尽管地区趋势各不相同,2018 年全国产量差距缩小至 27%。与气候影响(-2.6 千克/公顷-年-1)相比,技术进步是大多数地区增产的主要驱动力(37.3 千克/公顷-年-1)。特别是在马铃薯、荞麦、玉米和大豆种植区,技术改进抵消了气候变化的负面影响。在水稻主产区,品种改良的贡献(14%-22%)高于水肥管理的贡献。意义我们的研究结果发现了中国水稻潜在产量的演变规律及其背后的驱动因素,为通过品种改良和优化田间管理阻碍水稻产量停滞提供了科学依据。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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