Nitrogen management in rice under crop rotation and nitrogen level adjustment: Comprehensive responses of soil, roots, and plant growth

IF 3.5 3区 生物学 Q1 PLANT SCIENCES Rhizosphere Pub Date : 2025-02-13 DOI:10.1016/j.rhisph.2025.101038
Yunsheng Song , Minghui Dong , Meijuan Jin , Junrong Gu , Fei Chen , Peifeng Chen , Xiuliang Jin , Yajie Hu , Yuxuan Wang
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Abstract

High-quality japonica rice is widely valued in Asia, particularly in China's Taihu Lake region, for its unique taste and nutritional qualities. However, the excessive application of nitrogen (N) fertilizers threatens both rice quality and environmental sustainability, demanding a reconsideration of traditional agricultural practices. This study investigates the combined effects of different crop rotation systems and N fertilizer rates on N management in rice cultivation. It focuses on soil N dynamics, as well as the structural and physiological responses of rice root systems and above-ground growth. A field experiment was conducted in the Taihu Lake region for two years, following a split-plot design that included two rotation patterns—rice-wheat and rice-morel—and two levels of N application: the conventional rate and a 10% reduction. The cultivar ‘Suxiangjing 100’ was used. Variables such as soil inorganic N content, root morphology, root H+ and NO₃ uptake, N-metabolizing enzyme activities, and plant biomass and N accumulation were systematically analyzed. The rice-morel rotation combined with a 10% reduction in N markedly increased both nitrate and ammonium N contents in the soil, particularly in the 0–20 cm and 20–40 cm layers. This treatment also significantly enhanced root length, surface area, and volume, especially in the topsoil layer. Root tips exhibited a greater capacity for H+ and NO₃ uptake, especially in shallow soil. Furthermore, this treatment substantially boosted nitrate reductase (NR) and glutamine synthetase (GS), especially during the heading and maturation stages, with enzyme activities significantly higher (p < 0.05). Both plant biomass and N accumulation were markedly higher, demonstrating improved growth and nitrogen use efficiency (NUE). Correlation analyses indicated a significant positive relationship between root morphology and N absorption capacity in the top 10 cm of soil (p < 0.01). Adjusting crop rotation patterns and N application rates can significantly enhance soil N status, optimize root system morphology, and improve plant growth and N accumulation, thereby enhancing N management in rice. Overall, the rice-morel rotation with a 10% N reduction demonstrated strong potential for optimizing rice's overall N utilization and growth performance.
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轮作和氮素水平调整下水稻氮素管理:土壤、根系和植株生长的综合响应
高品质的粳稻因其独特的口感和营养品质在亚洲,特别是中国的太湖地区受到广泛重视。然而,氮肥的过量施用威胁着水稻的质量和环境的可持续性,要求人们重新考虑传统的农业做法。研究了不同轮作制度和施氮量对水稻氮素管理的综合影响。它侧重于土壤氮动态,以及水稻根系和地上部生长的结构和生理响应。在太湖地区进行了为期两年的田间试验,采用裂地设计,包括两种轮作模式-水稻-小麦和水稻-莫尔,以及两种施氮水平:常规用量和减少10%。选用品种‘苏香粳100’。系统分析了土壤无机氮含量、根系形态、根系H+和NO₃-吸收、N代谢酶活性、植物生物量和N积累等变量。水稻-羊粪轮作配合减少10%氮素显著增加了土壤中硝态氮和铵态氮含量,特别是在0-20 cm和20-40 cm土层。这种处理也显著增加了根的长度、表面积和体积,特别是在表土层。根尖对H+和NO₃-的吸收能力更强,特别是在浅层土壤中。此外,该处理显著提高了硝酸盐还原酶(NR)和谷氨酰胺合成酶(GS),特别是在抽穗期和成熟期,酶活性显著提高(p <;0.05)。植物生物量和氮素积累量均显著增加,表明植物生长和氮素利用效率(NUE)得到改善。相关分析表明,根系形态与土壤顶部10cm氮吸收能力呈显著正相关(p <;0.01)。调整作物轮作方式和施氮量可显著改善土壤氮素状况,优化根系形态,促进植株生长和氮素积累,从而加强水稻氮素管理。综上所述,减少10%氮素的水稻-羊笼轮作在优化水稻整体氮素利用和生长性能方面具有很强的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Rhizosphere
Rhizosphere Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
5.70
自引率
8.10%
发文量
155
审稿时长
29 days
期刊介绍: Rhizosphere aims to advance the frontier of our understanding of plant-soil interactions. Rhizosphere is a multidisciplinary journal that publishes research on the interactions between plant roots, soil organisms, nutrients, and water. Except carbon fixation by photosynthesis, plants obtain all other elements primarily from soil through roots. We are beginning to understand how communications at the rhizosphere, with soil organisms and other plant species, affect root exudates and nutrient uptake. This rapidly evolving subject utilizes molecular biology and genomic tools, food web or community structure manipulations, high performance liquid chromatography, isotopic analysis, diverse spectroscopic analytics, tomography and other microscopy, complex statistical and modeling tools.
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