Unraveling the regional dynamics of straw mulching and incorporation on crop yields in Northeast China

IF 6.7 1区 农林科学 Q1 AGRONOMY
European Journal of Agronomy Pub Date : 2026-03-01 Epub Date: 2025-11-26 DOI:10.1016/j.eja.2025.127943
Ying Song , Zhijie Li , Xiaoling He , Jiaqiong Zhang , Jinxia Fu , Fenli Zheng , Zhi Li
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引用次数: 0

Abstract

Selecting an appropriate straw return method is crucial for enhancing crop productivity and promoting sustainable agriculture in the black soil region of Northeast China. However, few studies have evaluated the effectiveness of different straw return methods on crop yield, and their regional applicability has not yet been established. This study integrates machine learning approaches and meta-analysis to assess the impact of straw mulch (SM) and straw incorporation (SI) on crop yields under varying climate, soils, and agricultural management conditions in Northeast China’s drylands. Straw return overall increases crop yield by ∼5 %, among which SM and SI have similar mean contributions to yield improvements (5 % vs 4 %). The effects of two straw return methods vary with environmental conditions; specifically, SM outperforms SI under low temperatures (mean annual temperature MAT <6 ℃), drought (mean annual precipitation MAP <600 mm), and moderate erosion (mean annual soil erosion ASE 0.5–2 t/ha), but SI has better effects with high temperatures (MAT >6 ℃), high precipitation (MAP >600 mm), and severe erosion (ASE >2 t/ha). SM achieves the highest yield benefit (8 %) under moderate straw return amounts (6000–10,000 kg/ha), whereas SI performs the best (6 %) at low straw return amounts (< 6000 kg/ha). Furthermore, the yield-enhancing effects of both methods intensifies with increasing experimental duration, with SI's effect gradually and consistently surpassing that of SM. Spatial prediction results reveal that the overall extent of yield increase for SI is 9 %, with higher increasing yield potential observed in the southwest and southeast regions, while the extent of yield increase for SM is lower, at only 3 %. This study elucidates the differentiated yield-enhancing effects of different straw return methods in the black soil region, providing a scientific basis for precision agricultural management and sustainable utilization of black soil in Northeast China and other similar regions.
东北地区秸秆还田对作物产量影响的区域动态分析
选择合适的秸秆还田方式对提高东北黑土区作物生产力和促进农业可持续发展至关重要。然而,很少有研究评估不同秸秆还田方式对作物产量的影响,其区域适用性尚未建立。本研究结合机器学习方法和荟萃分析,评估了在不同气候、土壤和农业管理条件下,秸秆覆盖(SM)和秸秆还田(SI)对中国东北旱地作物产量的影响。秸秆还田总体提高作物产量约5 %,其中秸秆还田和秸秆还田对产量提高的平均贡献相似(5 % vs 4 %)。两种秸秆还田方式的效果随环境条件的不同而不同;其中,在低温(年平均气温MAT <;6℃)、干旱(年平均降水量MAP <;600 mm)、中度侵蚀(年平均水土流失ASE 0.5-2 t/ha)条件下,土壤土壤保护优于土壤土壤保护,但在高温(MAT >6℃)、高降水(MAP >600 mm)、严重侵蚀(ASE >2 t/ha)条件下,土壤土壤保护效果更好。在中等秸秆还田量(6,000 - 10,000 kg/ha)下,SM的产量效益最高(8 %),而SI在低秸秆还田量(< 6000 kg/ha)下表现最佳(6 %)。此外,两种方法的增产效果都随着试验时间的延长而增强,SI的增产效果逐渐且持续地超过SM。空间预测结果表明,西南和东南地区单稻增产潜力较大,单稻整体增产幅度为9 %,单稻增产幅度较小,仅为3 %。本研究阐明了不同秸秆还田方式在黑土地区的差异化增产效果,为东北及类似地区黑土的精准农业管理和可持续利用提供科学依据。
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来源期刊
European Journal of Agronomy
European Journal of Agronomy 农林科学-农艺学
CiteScore
8.30
自引率
7.70%
发文量
187
审稿时长
4.5 months
期刊介绍: The European Journal of Agronomy, the official journal of the European Society for Agronomy, publishes original research papers reporting experimental and theoretical contributions to field-based agronomy and crop science. The journal will consider research at the field level for agricultural, horticultural and tree crops, that uses comprehensive and explanatory approaches. The EJA covers the following topics: crop physiology crop production and management including irrigation, fertilization and soil management agroclimatology and modelling plant-soil relationships crop quality and post-harvest physiology farming and cropping systems agroecosystems and the environment crop-weed interactions and management organic farming horticultural crops papers from the European Society for Agronomy bi-annual meetings In determining the suitability of submitted articles for publication, particular scrutiny is placed on the degree of novelty and significance of the research and the extent to which it adds to existing knowledge in agronomy.
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