Effects of nitrogen fertilizer application on saline-alkali land cotton in China quantified using meta-analysis and regression analysis

IF 2.2 2区 农林科学 Q2 AGRICULTURAL ENGINEERING International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI:10.25165/j.ijabe.20231604.7802
Changkun Yang, Hongguang Liu, Ping Gong, Pengfei Li, Xiang Qiao, Zhijie Li, Hua Jin, Qian Zhang, Hanji Xia
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Abstract

Nitrogen fertilizer application is an important means to promote cotton production in saline-alkali land. A meta-analysis and regression analysis of 49 peer-reviewed studies were conducted using yield data (373 data points), dry matter accumulation (114 data points), and water use efficiency (157 data points) to quantify the effect of nitrogen fertilizer on the yield, dry matter accumulation, and water use efficiency of cotton in saline-alkali land in China for different planting management practices and different growing environments. The results showed that the nitrogen application significantly improved the yield, dry matter accumulation, and water use efficiency by 34.11%, 36.27%, and 33.87%, respectively, compared with no nitrogen application. The largest improvements in the yield, dry matter accumulation, and water use efficiency occurred in areas where saline-alkali land had been improved for many years, in Eastern China, South Central China, and Northwest China (areas with annual average precipitation ≤200 mm or >800 mm, and annual average evaporation ≤800 mm or >2400 mm), in areas with trickle irrigation, and fields with a planting density of 100 000 to 250 000 plants/hm2. Cotton exhibited the optimal response to nitrogen application at a rate of 300-375 kg/hm2, a basal application ratio of 20%-40%, and top-dressing in the cotton bud, flowering boll, and full boll stages. The effect of nitrogen application increased as the salinity increased. A suitable nitrogen application rate, top-dressing ratio, and top-dressing period are crucial for increasing cotton production in saline-alkali land, although environmental differences and planting measures have to be considered. This study provided information on the correct application of nitrogen fertilizer to maximize its benefits and suggests controlling nitrogen fertilizer inputs in agriculture to protect the soil environment and ensure sustainable agricultural development. Keywords: meta-analysis, regression analysis, nitrogen fertilizer application, saline-alkali land, cotton DOI: 10.25165/j.ijabe.20231604.7802 Citation: Yang C K, Liu H G, Gong P, Li P F, Qiao X, Li Z J, et al. Effects of nitrogen fertilizer application on saline-alkali land cotton in China quantified using meta-analysis and regression analysis. Int J Agric & Biol Eng, 2023; 16(4): 145-158.
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采用meta分析和回归分析对中国盐碱地棉花氮肥施用效果进行量化
氮肥施用是盐碱地促进棉花生产的重要手段。利用产量数据(373个数据点)、干物质积累数据(114个数据点)和水分利用效率数据(157个数据点)对49篇同行评比研究进行meta分析和回归分析,量化氮肥对中国盐碱地不同种植管理方式和不同生长环境下棉花产量、干物质积累和水分利用效率的影响。结果表明,与不施氮相比,施氮显著提高了水稻产量、干物质积累量和水分利用效率,分别提高了34.11%、36.27%和33.87%。产量、干物质积累和水分利用效率的最大提高发生在盐碱地改良多年的地区、中国东部、华中南部和西北地区(年平均降水量≤200 mm或800 mm,年平均蒸发量≤800 mm或2400 mm)、滴灌地区和种植密度为10万~ 25万株/hm2的农田。施氮量为300 ~ 375 kg/hm2,基施比例为20% ~ 40%,在棉蕾期、花铃期和满铃期进行追肥,棉花对氮肥的响应最佳。施氮效果随着盐度的增加而增强。盐碱地棉花增产需要考虑环境差异和种植措施,但适当的施氮量、追肥比例和追肥周期对提高棉花产量至关重要。本研究提供了正确施用氮肥以实现氮肥效益最大化的信息,并建议控制氮肥在农业中的投入,以保护土壤环境,确保农业可持续发展。关键词:meta分析,回归分析,氮肥施用,盐碱地,棉花DOI: 10.25165/ j.j ijabe.20231604.7802引用本文:杨春坤,刘海国,龚鹏,李鹏飞,乔鑫,李志军,等。采用meta分析和回归分析对中国盐碱地棉花氮肥施用效果进行量化。农业与生物工程学报,2023;16(4): 145 - 158。
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来源期刊
CiteScore
4.30
自引率
12.50%
发文量
88
审稿时长
24 weeks
期刊介绍: International Journal of Agricultural and Biological Engineering (IJABE, https://www.ijabe.org) is a peer reviewed open access international journal. IJABE, started in 2008, is a joint publication co-sponsored by US-based Association of Agricultural, Biological and Food Engineers (AOCABFE) and China-based Chinese Society of Agricultural Engineering (CSAE). The ISSN 1934-6344 and eISSN 1934-6352 numbers for both print and online IJABE have been registered in US. Now, Int. J. Agric. & Biol. Eng (IJABE) is published in both online and print version by Chinese Academy of Agricultural Engineering.
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