Change of soil quality in a long-term rice-fish co-culture system based on the minimum data set

LI Yici; WEI Zheng; ZOU Long; LI Long Yi; HE Jinfeng; XU Huaqin; CHEN Qiuhua

doi:10.7671/j.issn.1001-411X.202409019

Journal of South China Agricultural University > 2025 > Uncorrected proof > DOI: 10.7671/j.issn.1001-411X.202409019

LI Yici, WEI Zheng, ZOU Long, et al. Change of soil quality in a long-term rice-fish co-culture system based on the minimum data set[J]. Journal of South China Agricultural University, 2025, 46(4): 1-8. DOI: 10.7671/j.issn.1001-411X.202409019

Citation:

PDF (1878 KB)

Change of soil quality in a long-term rice-fish co-culture system based on the minimum data set

1.
College of Environment and Ecology, Hunan Agricultural University, Changsha 410128, China
2.
Department of Agriculture and Rural Affairs of Hunan Province, Changsha 410005, China

More Information

Graphical Abstract

Abstract

Abstract

Objective
To explore the changes of soil quality under long-term low input rice-fish co-culture mode.
Method
After constructing the minimum data set (MDS) and scoring linearly the indexes, the soil quality of rice-fish co-culture for 15 years (FR15) or 50 years (FR50) was evaluated using soil quality index (SQI).
Result
The results of descriptive statistics showed that the contents of total nitrogen and organic matter were rich, the contents of total phosphorus, available phosphorus and available potassium were moderate, and the content of total potassium was insufficient. The indexes of total nitrogen, total potassium, total copper and total magnesium contents and pH were selected to construct the MDS. The SQI value of MDS had a significant positive correlation with that of the whole dataset, and could be used to evaluate soil quality. Total nitrogen (26.50%) contributed the most to soil quality evaluation, followed by total copper (23.01%), total potassium (19.23%), total magnesium (16.50%) and pH (14.76%). Compared with rice monoculture, the SQI value of FR15 significantly decreased by 27.90% and FR50 increased by 18.23%.
Conclusion
Although soil quality of the long-term low-input rice-fish co-culture model will be reduced due to material input, with the continuous extension of the system maintenance time, the nutrient utilization rate will be improved, and soil quality can be significantly improved and maintained stable.
- Rice-fish co-culture,
- Minimum data set,
- Nutrient utilization rate,
- Soil quality

FullText(HTML)

References (35)

References

[1]	管卫兵, 刘凯, 石伟, 等. 稻渔综合种养的科学范式[J]. 生态学报, 2020, 40(16): 5451-5464.
[2]	XIE J, WU X, TANG J J, et al. Conservation of traditional rice varieties in a globally important agricultural heritage system (GIAHS): Rice-fish co-culture[J]. Agricultural Sciences in China, 2011, 10(5): 754-761. doi: 10.1016/S1671-2927(11)60059-X
[3]	BERG H, TAM N T. Decreased use of pesticides for increased yields of rice and fish-options for sustainable food production in the Mekong Delta[J]. Science of the Total Environment, 2018, 619: 319-327.
[4]	徐珂, 易小燕, 张英楠, 等. 哈尼梯田区稻鱼共作模式碳足迹和经济效益综合评价[J]. 生态学报, 2024, 44(23): 10619-10630.
[5]	焦雯珺, 闵主闵. 浙江青田稻鱼共生系统 [M]. 北京: 中国农业出版社, 2015.
[6]	WEI X M, HU Y J, PENG P Q, et al. Effect of P stoichiometry on the abundance of nitrogen-cycle genes in phosphorus-limited paddy soil[J]. Biology and Fertility of Soils, 2017, 53(7): 767-776.
[7]	韦还和, 马唯一, 左博源, 等. 盐、干旱及其复合胁迫对水稻产量和品质形成影响的研究进展[J]. 中国水稻科学, 2024, 38(4): 350-363.
[8]	HEMATI Z, SELVALAKSHMI S, XIA S W, et al. Identification of indicators: Monitoring the impacts of rubber plantations on soil quality in Xishuangbanna, Southwest China[J]. Ecological Indicators, 2020, 116: 106491. doi: 10.1016/j.ecolind.2020.106491
[9]	HE Y J, HAN X R, WANG X P, et al. Long-term ecological effects of two artificial forests on soil properties and quality in the eastern Qinghai-Tibet Plateau[J]. Science of the Total Environment, 2021, 796: 148986.
[10]	SHAO G D, AI J J, SUN Q W, et al. Soil quality assessment under different forest types in the Mount Tai, central Eastern China[J]. Ecological Indicators, 2020, 115: 106439. doi: 10.1016/j.ecolind.2020.106439
[11]	陈灿, 王忍, 张印, 等. 辰溪县稻鱼综合种养主要模式生产效益调查[J]. 作物研究, 2019, 33(5): 473-477.
[12]	李龙燚, 魏征, 李谊慈, 等. 长期稻鱼共作对土壤养分循环及碳库稳定性的影响[J]. 华南农业大学学报, 2024, 45(6): 856-864. doi: 10.7671/j.issn.1001-411X.202405021
[13]	鲍士旦. 土壤农化分析[M]. 3版. 北京: 中国农业出版社, 2000.
[14]	章晓芳, 郑生猛, 夏银行, 等. 红壤丘陵区土壤有机碳组分对土地利用方式的响应特征[J]. 环境科学, 2020, 41(3): 1466-1473.
[15]	顾晓娟, 于耀泓, 刘悦, 等. 华南典型人工林对土壤易氧化有机碳的影响[J]. 森林与环境学报, 2023, 43(2): 145-151.
[16]	KOU T J, ZHU P, HUANG S, et al. Effects of long-term cropping regimes on soil carbon sequestration and aggregate composition in rainfed farmland of NorthEast China[J]. Soil and Tillage Research, 2012, 118: 132-138. doi: 10.1016/j.still.2011.10.018
[17]	REZAEI S A, GILKES R J, ANDREWS S S. A minimum data set for assessing soil quality in rangelands[J]. Geoderma, 2006, 136(1/2): 229-234.
[18]	YU P J, HAN D L, LIU S W, et al. Soil quality assessment under different land uses in an alpine grassland[J]. Catena, 2018, 171: 280-287. doi: 10.1016/j.catena.2018.07.021
[19]	SHARMA K L, MANDAL U K, SRINIVAS K, et al. Long-term soil management effects on crop yields and soil quality in a dryland Alfisol[J]. Soil and Tillage Research, 2005, 83(2): 246-259. doi: 10.1016/j.still.2004.08.002
[20]	张福平, 高张, 马倩倩, 等. 面向敦煌市绿洲土壤质量评价的最小数据集构建研究[J]. 土壤通报, 2017, 48(5): 1047-1054.
[21]	MASTO R E, CHHONKAR P K, SINGH D, et al. Alternative soil quality indices for evaluating the effect of intensive cropping, fertilisation and manuring for 31 years in the semi-arid soils of India[J]. Environmental Monitoring and Assessment, 2008, 136(1/2/3): 419-435.
[22]	胡伟, 刘文辉, 刘凯强, 等. 基于最小数据集土壤质量评价及生物指标的确立[J]. 草地学报, 2024, 32(12): 3855-3867
[23]	李鹏飞, 张兴昌, 郝明德, 等. 基于最小数据集的黄土高原矿区复垦土壤质量评价[J]. 农业工程学报, 2019, 35(16): 265-273. doi: 10.11975/j.issn.1002-6819.2019.16.030
[24]	张子琦, 焦菊英, 陈同德, 等. 拉萨河流域中下游洪积扇土壤养分评价[J]. 植物营养与肥料学报, 2022, 28(11): 2082-2096.
[25]	DU L S, WANG H, ZHANG Z, et al. Changes in soil quality under long-term rice-crayfish farming in the Dongting Lake Plain, China[J]. Land Degradation & Development, 2024, 35(4): 1352-1364.
[26]	陈欣, 胡中元, 赵璐峰, 等. 中国南方地区稻鱼共生系统的研究进展与思考[J]. 华南农业大学学报, 2024, 45(6): 825-835. doi: 10.7671/j.issn.1001-411X.202405026
[27]	朱鸣鸣, 徐镀涵, 陈光燕, 等. 基于最小数据集的喀斯特不同利用方式下土壤质量评价[J]. 草地学报, 2021, 29(10): 2323-2331.
[28]	李百云, 李慧, 郭鑫年, 等. 基于最小数据集的宁夏耕地土壤质量评价[J]. 江苏农业科学, 2021, 49(9): 195-201.
[29]	宫亮, 金丹丹, 牛世伟, 等. 长期定位氮肥减施对水稻产量和氮素吸收利用的影响[J]. 中国稻米, 2022, 28(3): 42-46.
[30]	丁姣龙. 稻鱼共生年限对耕层土壤养分与微生物影响研究[D]. 长沙: 湖南农业大学, 2021.
[31]	邓少虹, 温远光, 孙冬婧, 等. 稻鱼共作下不同有机肥对水稻养分吸收利用效率的影响[J]. 广西科学, 2023, 30(3): 524-531.
[32]	龙瑞平, 杨兆春, 穆家伟, 等. 稻鱼共作下氮肥减量后移对水稻生长和氮肥利用效率的影响[J]. 土壤, 2022, 54(4): 708-714.
[33]	CAI S, LV W, ZHU H, et al. Effect of nitrogen application rate on soil fungi community structure in a rice-fish mutualistic system [J]. Scientific Reports, 2019, 9(1): 16188.
[34]	丁姣龙, 陈璐, 王忍, 等. 鱼排泄物与分泌物对水稻土壤酶活性及土壤养分的影响[J]. 湖南师范大学自然科学学报, 2021, 44(2): 74-79.
[35]	谢可欣, 王梦杰, 李凤博, 等. 不同品种水稻与鱼共作对养殖池塘CH₄和N₂O排放的影响[C]//中国作物学会. 第二十届中国作物学会学术年会论文摘要集. 北京: 中国作物学会, 2023: 409.

Cited By

Cited by

Periodical cited type(4)

1.	宋鹏，李理想，江厚龙，王茹，李慧，赵鹏宇，张均，秦平伟，任江波，陈庆明. 施用侧孢短芽孢杆菌对烤后烟叶钾含量及烟株生理特征的影响. 浙江农业学报. 2024(03): 494-502 .
2.	杜蓉惠，何涛，杜鸿燕，邓维萍，朱书生，杜飞. 枯草芽孢杆菌对‘红地球’葡萄白粉病防效及叶际细菌群落的影响. 中外葡萄与葡萄酒. 2024(03): 38-46 .
3.	李妍，胡斯乐，白晓雄，刘朝斌，张敏，王迎，余旋. 核桃根际耐旱促生菌的分离筛选及其促生作用研究. 西北林学院学报. 2024(03): 84-92 .
4.	吕嘉妍，毛健辉，霍春宇，黄永芳，罗连荷，梁家俊，陈祖静. 广东省本地油茶和引种油茶根际土壤微生物群落特征. 微生物学通报. 2023(11): 4938-4953 .

Other cited types(6)

Get Citation

PDF

XML

Article views (39) PDF downloads (10) Cited by(10)

Turn off MathJax

Article Contents

Abstract

References

Change of soil quality in a long-term rice-fish co-culture system based on the minimum data set

Abstract

References

Cited by

Periodical cited type(4)

Other cited types(6)

Catalog

Export File

Citation

Format

Content