Delaying sowing time and increasing sowing rate with plastic mulching can enhance wheat yield and water use efficiency under future climate change

IF 5.6 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2025-01-06 DOI:10.1016/j.agrformet.2025.110383
Lihong Wu , Hao Quan , Hao Feng , Dianyuan Ding , Lina Wu , De Li Liu , Bin Wang
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Abstract

Adjusting sowing dates and rates are effective measures for winter wheat to adapt to future climate change in achieving high yields. However, the combined influence of sowing date and sowing rate on winter wheat yield and water use efficiency (WUE) under plastic mulching (PM) conditions, particularly in the context of climate change, remains unexplored. To address this, a two-year field experiment conducted in the Guanzhong Plain, Northwest China, was used to calibrate the SPACSYS model. The calibrated model, driven by 27 global climate models under SSP245 and SSP585 scenarios, was used to project changes in yield and WUE and to evaluate the potential of various management strategies for mitigating the adverse effects of climate change. We investigated multiple strategies, including two mulching methods [plastic mulching (PM) and no mulching (NM)], six sowing rates (R1: local; R2: 110 % R1; R3: 120 % R1; R4: 130 % R1; R5: 140 % R1; R6: 150 % R1), and four sowing dates (10-day early, normal sowing, 10-day delay, 20-day delay). Results showed that without adaptation, the simulated yield under local management options (NM+normal sowing date+R1 sowing rate) decreased by 14.9−26.7 % under SSP245 and by 24.5−39.5 % under SSP585. Similarly, WUE decreased by 10.4−12.5 % under SSP245 and by 3.2−7.0 % under SSP585. These reductions in yield were primarily attributed to rising temperatures and decreasing radiation, while the decline in WUE was mainly driven by rising temperatures. In contrast, the optimal management combination (PM+10-day delayed sowing+R5 sowing rate) resulted in yield increases of 26.0−34.7 % under SSP245 and 21.2−32.5 % under SSP585 compared to the local management during the baseline period. This strategy also achieved the highest WUE, improving by 31.0−32.7 % under SSP245 and 36.5−39.2 % under SSP585 relative to the baseline. These findings provide valuable information to help farmers in Northwest China adapt to future climate change by optimizing sowing time and rate with PM, thereby enhancing wheat yield and WUE.
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在未来气候变化条件下,延后播期和增加地膜播量可提高小麦产量和水分利用效率
调整播期和播率是冬小麦适应未来气候变化、实现高产的有效措施。然而,播期和播量对地膜覆盖条件下冬小麦产量和水分利用效率(WUE)的综合影响,特别是在气候变化的背景下,仍未得到进一步研究。为了解决这一问题,在中国西北关中平原进行了为期两年的野外试验,对SPACSYS模型进行了校准。该模型由SSP245和SSP585情景下的27个全球气候模型驱动,用于预测产量和水分利用效率的变化,并评估各种管理策略缓解气候变化不利影响的潜力。我们研究了多种策略,包括两种覆盖方法[覆膜(PM)和不覆盖(NM)],六种播种率(R1:局部;R2: 110% r1;R3: 120% r1;R4: 130% r1;R5: 140% r1;R6: 150% R1), 4个播期(提前10天、正常播期、推迟10天、推迟20天)。结果表明,在不进行适应的情况下,SSP245和SSP585在不同管理方案(NM+正常播期+R1播量)下的模拟产量分别下降了14.9 ~ 26.7%和24.5 ~ 39.5%。同样,在SSP245和SSP585下,WUE分别下降了10.4% ~ 12.5%和3.2% ~ 7.0%。这些产量的减少主要归因于温度升高和辐射减少,而用水效率的下降主要是由温度升高引起的。相比之下,最优管理组合(PM+10 d延迟播种+R5播量)在SSP245和SSP585下的产量分别比基线期本地管理提高了26.0 ~ 34.7%和21.2 ~ 32.5%。该策略也获得了最高的WUE,在SSP245下相对于基线提高了31.1% ~ 32.7%,在SSP585下提高了36.5% ~ 39.2%。研究结果可为西北地区农民利用PM优化播期和播率,从而提高小麦产量和水分利用效率提供有价值的信息。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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