Optimizing nitrogen management can improve stem lodging resistance and stabilize grain yield of japonica rice in rice-crayfish coculture systems

IF 4.6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Qiang Xu, Jingyong Li, Hui Gao, Xinyi Yang, Zhi Dou, Xiaochun Yuan, Weiyan Gao, Hongcheng Zhang
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引用次数: 0

Abstract

Nitrogen (N) is a major factor affecting rice yield and lodging resistance. Previous studies have primarily investigated the impact of N management on rice lodging in conventional rice monoculture (RM); however, few studies have performed such investigations in rice-crayfish coculture (RC). We hypothesized that RC would increase rice lodging risk and that optimizing N application practices would improve rice lodging resistance without affecting food security. We conducted a two-factor (rice farming mode and N management practice) field experiment from 2021 to 2022 to test our hypothesis. The rice farming modes included RM and RC, and the N management practices included no nitrogen fertilizer, conventional N application, and optimized N treatment. The rice yield and lodging resistance characteristics, such as the morphology, mechanical and chemical characteristics, anatomic structure, and gene expression levels, were analysed and compared among the different treatments. Under the same N application practice, RC decreased the rice yield by 11.1–24.4% and increased the lodging index by 19.6–45.6% compared with the values yielded in RM. In RC, optimized N application decreased the plant height, panicle neck node height, centre of gravity height, bending stress, and lodging index by 4.0–4.8%, 5.2–7.8%, 0.5–4.5%, 5.5–10.5%, and 1.8–19.5% compared with those in the conventional N application practice, respectively. Furthermore, it increased the culm diameter, culm wall thickness, breaking strength, and non-structural and structural carbohydrate content by 0.8–4.9%, 2.2–53.1%, 13.5–19.2%, 2.2–24.7%, and 31.3–87.2%, respectively. Optimized N application increased sclerenchymal and parenchymal tissue areas of the vascular bundle at the culm wall of the base second internode. Furthermore, optimized N application upregulated genes involved in lignin and cellulose synthesis, thereby promoting lower internodes on the rice stem and enhancing lodging resistance. Optimized N application in RC significantly reduced the lodging index by 1.8–19.5% and stabilized the rice yield (>8,570 kg ha–1 on average). This study systematically analysed and compared the differences in lodging characteristics between RM and RC, and these findings will aid in the development of more efficient practices for RC that will reduce N fertilizer application.

优化氮肥管理可提高稻田-小龙虾共生养殖系统中粳稻的抗茎杆徒长能力并稳定谷物产量
氮(N)是影响水稻产量和抗倒伏性的主要因素。以往的研究主要调查了传统水稻单作(RM)中氮素管理对水稻生长的影响,但很少有研究对水稻-小龙虾共作(RC)进行此类调查。我们假设,稻虾共作将增加水稻稻瘟病的风险,而优化氮肥施用方法将在不影响粮食安全的情况下提高水稻的抗稻瘟病能力。我们在 2021 年至 2022 年期间进行了一项双因素(水稻耕作模式和氮肥管理方法)田间试验,以验证我们的假设。水稻耕作模式包括RM和RC,氮肥管理措施包括不施氮肥、常规施氮和优化施氮。分析和比较了不同处理的水稻产量和抗倒伏特性,如形态、机械和化学特性、解剖结构和基因表达水平。在相同施氮量的情况下,与RM相比,RC的水稻产量降低了11.1-24.4%,抗倒伏指数增加了19.6-45.6%。在 RC 中,优化施氮与常规施氮相比,株高、圆锥花序颈节高度、重心高度、弯曲应力和结实指数分别降低了 4.0-4.8%、5.2-7.8%、0.5-4.5%、5.5-10.5% 和 1.8-19.5%。此外,茎秆直径、茎秆壁厚、断裂强度、非结构性和结构性碳水化合物含量分别增加了 0.8-4.9%、2.2-53.1%、13.5-19.2%、2.2-24.7% 和 31.3-87.2%。优化氮的施用增加了基部第二节间秆壁维管束的小叶和实质组织面积。此外,优化氮肥施用还能上调参与木质素和纤维素合成的基因,从而促进水稻茎秆节间降低,增强抗倒伏性。在 RC 中优化氮的施用可显著降低 1.8-19.5% 的稻瘟病指数,并稳定水稻产量(平均 8570 千克/公顷)。这项研究系统地分析和比较了RM和RC在抗倒伏特性上的差异,这些发现将有助于为RC开发更有效的方法,从而减少氮肥施用量。
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来源期刊
Journal of Integrative Agriculture
Journal of Integrative Agriculture AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
7.90
自引率
4.20%
发文量
4817
审稿时长
3-6 weeks
期刊介绍: Journal of Integrative Agriculture publishes manuscripts in the categories of Commentary, Review, Research Article, Letter and Short Communication, focusing on the core subjects: Crop Genetics & Breeding, Germplasm Resources, Physiology, Biochemistry, Cultivation, Tillage, Plant Protection, Animal Science, Veterinary Science, Soil and Fertilization, Irrigation, Plant Nutrition, Agro-Environment & Ecology, Bio-material and Bio-energy, Food Science, Agricultural Economics and Management, Agricultural Information Science.
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