Soil Fertility Assessment of Alisma orientale in Sichuan Based on Minimum Data Set

doi:10.15933/j.cnki.1004-3268.2025.01.008

Abstract

Abstract: In order to establish a scientific evaluation system of soil fertility in Sichuan Province and provide a reference for soil nutrient management of Alisma orientale，159 soil and Alisma orientale samples were collected from 53 planting bases of Alisma orientale，and the physical and chemical properties of soil and the effective components of Alisma orientale were determined.The minimum data set was constructed by principal component analysis to comprehensively evaluate the soil fertility in this area.The result showed that the cumulative contribution rate of the six principal components with eigenvalues ≥ 1 in the principal component analysis of soil fertility evaluation indexes was 82.803%，which could represent the information of most soil fertility evaluation indexes.The minimum data set wascomposed of soil pH value，total nitrogen，available phosphorus，total iron，total manganese and total zinc，and 68.42% of the information redundancy was removed. Based on the minimum data set，the soil quality index of Alisma orientale in Sichuan ranged from 0.26 to 0.82，with an average of 0.49，and 78% of the soil fertility at the sampling points was at a medium to high level.The soil quality indexes of the minimum data set in Jiajiang County，Wutongqiao District，Dongpo District and Pengshan County were 0.529，0.526，0.388 and 0.603，respectively. There were significant differences in soil fertility among the four regions，but the low variation intensity of soil fertility in each region was suitable for the growth of Alisma orientale.The soil fertility results of the soil quality evaluation models based on the total data set and the minimum data set were similar，and the two were significantly positively correlated and the change trend was consistent（R²=0.899），which showed that the minimum data set had a good coverage effect on the soil fertility of Alisma orientale，and could characterize the soil fertility status of Alisma orientale.The obstacle degree of soil quality evaluation factors of Alisma orientale in Sichuan was between 0.03 and 0.08，and the Nash effective coefficient was 0.673，indicating that there were mild obstacle factors in the soil，and the accuracy of soil fertility evaluation based on the minimum data set was high.In summary，the soil quality evaluation system constructed by the minimum data set can represent the total data set for comprehensive evaluation of soil fertility in the main producing areas of Alisma orientale. In production，the soil pH value should be appropriately increased，nitrogen fertilizer and micro‑fertilizer should be applied reasonably，and appropriate tillage management measures should be taken to improve the soil fertility of Alisma orientale and promote the growth and quality of Alisma orientale.

Key words: Sichuan Alisma, Principal component analysis, Minimum data set, Assessment of soil fertility, Obstacle factor

摘要： 为建立科学的四川省土壤肥力评价体系并为川泽泻土壤养分管理提供参考，在川泽泻53个种植区收集159份土壤和川泽泻样品，测定土壤理化性质及川泽泻有效成分，通过主成分分析构建最小数据集，综合评价该地土壤肥力情况。结果表明，川泽泻土壤肥力评价指标主成分分析中特征根值≥1的6个主成分累计贡献率为82.803%，能够代表大部分土壤肥力评价指标的信息。筛选出的最小数据集由土壤pH值及全氮、速效磷、全铁、全锰和全锌含量6项指标构成，去除了68.42%的信息冗余。基于最小数据集的川泽泻土壤质量指数介于0.26~0.82，均值为0.49，采样点78%的土壤肥力属于中高等水平。夹江县、五通桥区、东坡区和彭山县最小数据集土壤质量指数分别为0.529、0.526、0.388、0.603，4个区域土壤肥力差异明显，但各区域土壤肥力变异强度低，适合川泽泻生长。基于全量数据集与最小数据集的土壤质量评价模型的土壤肥力结果相似，两者呈极显著正相关关系且变化趋势较为一致（R²=0.899），表明最小数据集对川泽泻土壤肥力有较好的覆盖作用，可以表征川泽泻土壤肥力状况。川泽泻土壤质量评价因子的障碍度介于0.03~0.08，Nash有效系数为0.673，表明土壤存在轻度障碍因子，最小数据集的土壤肥力评价精确程度高。综上，基于最小数据集构建的土壤质量评价体系可以代表全量数据集对川泽泻土壤肥力进行综合评价，生产中应适当提高土壤pH值，合理施用氮肥、微肥并采取适宜的耕作管理措施，以改善川泽泻土壤肥力，促进川泽泻生长及品质提升。

关键词: 川泽泻, 主成分分析, 最小数据集, 土壤肥力评价, 障碍因子

CLC Number:

S567

YANG Kefang, LI Ruirong, JIN Mengzhen, WU Lingmei, ZHOU Jixin, ZHANG Yayu. Soil Fertility Assessment of Alisma orientale in Sichuan Based on Minimum Data Set[J]. Journal of Henan Agricultural Sciences, 2025, 54(1): 76-89.

杨克方, 李瑞荣, 金梦真, 吴灵梅, 周季欣, 张亚玉. 基于最小数据集的川泽泻土壤肥力评价[J]. 河南农业科学, 2025, 54(1): 76-89.

Figures/Tables 12

References

［1］AKSOY E，LOUWAGIE G，GARDI C，et al. Assessing soil biodiversity potentials in Europe［J］.Science of the Total Environment，2017，589：236‑249.

［2］张卫丽. 土肥管理技术在现代农业种植中的应用探索［J］.棉花科学，2024，46（4）：68‑70.

ZHANG W L. Application of soil and fertilizer management technology in modern agricultural planting［J］.Cotton Sciences，2024，46（4）：68‑70.

［3］刘占锋，傅伯杰，刘国华，等. 土壤质量与土壤质量指标及其评价［J］.生态学报，2006，4（3）：901‑913.

LIU Z F，FU B J，LIU G H，et al. Soil quality：Concept，indicators and its assessment［J］. Acta Ecologica Sinica，2006，4（3）：901‑913.

［4］SICZEK A，GRYTA A，OSZUST K，et al. Faba bean in crop rotation shapes bacterial and fungal communities and nutrient contents under conventional tillage of Triticale［J］. Applied Soil Ecology，2024，202：105597.

［5］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.

ZHU M M，XU D H，CHEN G Y，et al.Assessment on soil quality under different land use patterns in Karst area based on minimum data set［J］.Acta Agrestia Sinica，2021，29（10）：2323‑2331.

［6］张树清，孙小凤. 甘肃农田土壤氮磷钾养分变化特征［J］.土壤通报，2006，37（1）：13‑18.

ZHANG S Q，SUN X F. Characteristics of nitrogen，phosphorus and potassium nutrients of arable soil in Gansu［J］. Chinese Journal of Soil Science，2006，37（1）：13‑18.

［7］谭玉兰，杨丰，陈超，等. 喀斯特山区土地利用方式对土壤质量的影响［J］.西南农业学报，2019，32（5）：1133‑1138.

TAN Y L，YANG F，CHEN C，et al. Effects of different land use types on soil quality in Karst Mountainous area［J］. Southwest China Journal of Agricultural Sciences，2019，32（5）：1133‑1138.

［8］马志敏，吕一河，孙飞翔，等. 黑河中游荒漠绿洲区土地利用的土壤养分效应［J］.生态学报，2013，33（19）：6328‑6334.

MA Z M，LÜ Y H，SUN F X，et al.Effects of land use on soil nutrient in oasis‑desert ecotone in the middle reach of the Heihe River［J］. Acta Ecologica Sinica，2013，33（19）：6328‑6334.

［9］HAMMAC W A，STOTT D E，KARLEN D L，et al. Crop，tillage，and landscape effects on near‑surface soil quality indices in Indiana［J］. Soil Science Society of America Journal，2016，80（6）：1638‑1652.

［10］张连金，赖光辉，孙长忠，等. 北京九龙山土壤质量综合评价［J］.森林与环境学报，2016，36（1）：22‑29.

ZHANG L J，LAI G H，SUN C Z，et al. Comprehensive evaluation of soil quality fertility in Jiulong Mountain，Beijing［J］. Journal of Forest and Environment，2016，36（1）：22‑29.

［11］张光亮，白军红，郗敏，等. 黄河三角洲湿地土壤质量综合评价［J］.湿地科学，2015，13（6）：744‑751.

ZHANG G L，BAI J H，XI M，et al. Comprehensive assessment of soil quality of wetlands in the Yellow River Delta［J］. Wetland Science，2015，13（6）：744‑751.

［12］刘鑫，王一博，吕明侠，等. 基于主成分分析的青藏高原多年冻土区高寒草地土壤质量评价［J］. 冰川冻土，2018，40（3）：469‑479.

LIU X，WANG Y B，LÜ M X ，et al. Soil quality assessment of alpine grassland in permafrost regions of Tibetan Plateau based on principal component analysis［J］. Journal of Glaciology and Geocryology，2018，40（3）：469‑479.

［13］VASU D，TIWARI G，SAHOO S，et al.A minimum data set of soil morphological properties for quantifying soil quality in coastal agroecosystems［J］. Catena，2021，198：105042.

［14］梅楠，谷岩，李德忠，等. 基于最小数据集的吉林省黑土耕层土壤质量评价［J］.农业工程学报，2021，37（12）：91‑98.

MEI N，GU Y，LI D Z，et al. Soil quality evaluation in topsoil layer of black soil in Jilin Province based on minimum data set［J］. Transactions of the ChineseSociety of Agricultural Engineering，2021，37（12）：91‑98.

［15］ XING Y Y，WANG N，NIU X L，et al. Assessment of potato farmland soil nutrient based on MDS‑SQI model in the Loess Plateau［J］. Sustainability，2021，13（7）：3957.

［16］RAIESI F，KABIRI V. Identification of soil quality indicators for assessing the effect of different tillage practices through a soil quality index in a semi‑arid environment［J］. Ecological Indicators，2016，71：198‑207.

［17］YANG E J，ZHAO X L，QIN W，et al. Temporal impacts of dryland‑to‑paddy conversion on soil quality in the typical black soil region of China：Establishing the minimum data set［J］. Catena，2023，231：107303.

［18］CUI X F，CAI T，DENG W，et al. Indicators for evaluating high‑quality agricultural development：Empirical study from Yangtze River economic belt，China［J］. Social Indicators Research，2022，164（3）：1101‑1127.

［19］王琪琪，濮励杰，朱明，等. 沿海滩涂围垦区土壤质量演变研究：以江苏省如东县为例［J］. 地理科学，2016，36（2）：256‑264.

WANG Q Q，PU L J，ZHU M，et al. Soil quality evolution in coastal reclamation zones：A case study of Rudong County of Jiangsu Province［J］.Scientia Geographica Sinica，2016，36（2）：256‑264.

［20］WANG J X，LI H Z，WANG X N，et al. Alisol B‑23‑acetate，a tetracyclic triterpenoid isolated from Alisma orientale，induces apoptosis in human lung cancer cells via the mitochondrial pathway［J］.Biochemical and Biophysical Research Communications，2018，505（4）：1015‑1021.

［21］SHU Z H，PU J，CHEN L，et al. Alisma orientale：Ethnopharmacology，phytochemistry and pharmacology of an important traditional Chinese medicine［J］.The American Journal of Chinese Medicine，2016，44（2）：227‑251.

［22］国家药典委员会. 中华人民共和国药典一部［M］. 北京：中国医药科技出版社，2020.

National Pharmacopoeia Commission. Pharmacopoeia of the People’S Republic of China—Part Ⅰ［M］.Beijing：China Pharmaceutical Science and Technology Press，2020.

［23］SUN H，JIN Q，WANG Q X，et al. Effects of soil quality on effective ingredients of Astragalus mongholicus from the main cultivation regions in China ［J］. Ecological Indicators，2020，114：106296.

［24］鲍士旦. 土壤农化分析［M］. 3版. 北京：中国农业出版社，2000.
BAO S D. Soil agrochemical analysis［M］.3rd ed. Beijing：China Agriculture Press，2000.

［25］冯瑞琦，潘萍，欧阳勋志，等. 基于最小数据集的闽楠天然次生林土壤质量评价［J］. 江西农业大学学报，2021，43（3）：585‑597.
FENG R Q，PAN P，OUYANG X Z，et al. Soil quality evaluation of natural secondary forest of Phoebe bournei based on minimum data set ［J］. Acta Agriculturae Universitatis Jiangxiensis，2021，43（3）：585‑597.

［26］杨振奇，秦富仓，于晓杰，等. 基于最小数据集的砒砂岩区人工林地土壤质量评价指标体系构建［J］.土壤通报，2019，50（5）：1072‑1078.
YANG Z Q，QIN F C，YU X J，et al. Construction of artificial forest soil quality evaluation indices in the feldspathic sandstone region based on minimum data set［J］. Chinese Journal of Soil Science，2019，50（5）：1072‑1078.

［27］包玲凤，杨明英，尹兴盛，等. 基于最小数据集的保山市植烟土壤质量评价与障碍诊断［J］. 西南农业学报，2023，36（3）：612‑622.
BAO L F，YANG M Y，YIN X S，et al. Quality evaluation and obstacle diagnosis of soil planted with tobacco based on minimum data set in Baoshan city［J］. Southwest China Journal of Agricultural Sciences，2023，36（3）：612‑622.

［28］蒋丛泽，受娜，高玮，等. 青藏高原东北缘不同土地利用类型土壤质量综合评价［J］.应用生态学报，2022，33（12）：3279‑3286.
JIANG C Z，SHOU N，GAO W，et al. Comprehensive evaluation of soil quality of different land use types on
the northeastern margin of the Qinghai‑Tibet Plateau，China［J］.Chinese Journal of Applied Ecology，2022，33（12）：3279‑3286.

［29］宋鸽，史东梅，曾小英，等. 紫色土坡耕地耕层质量障碍特征［J］. 中国农业科学，2020，53（7）：1397‑1410.
SONG G，SHI D M，ZENG X Y，et al. Quality barrier characteristics of cultivated layer for sloping farmland in purple hilly region［J］. Scientia Agricultura Sinica，2020，53（7）：1397‑1410.

［30］陈方正，任健，刘思涵，等. 基于最小数据集的洞庭湖流域南部耕地土壤肥力综合评价［J］. 土壤通报，2021，52（6）：1348‑1359.
CHEN F Z，REN J，LIU S H，et al. Comprehensive assessment of soil fertility of cultivated land in southern Dongting Lake Basin based on minimum data set［J］.Chinese Journal of Soil Science，2021，52（6）：1348‑1359.

［31］史东梅，江娜，蒋光毅，等. 紫色土坡耕地耕层质量影响因素及其敏感性分析［J］.农业工程学报，2020，36（3）：135‑143.
SHI D M，JIANG N，JIANG G Y，et al. Influencing factors and sensitivity analysis of cultivated‑layer quality of purple soil slope farmland［J］. Transactions of the Chinese Society of Agricultural Engineering，2020，36（3）：135‑143.

［32］金慧芳，史东梅，陈正发，等.基于聚类及PCA分析的红壤坡耕地耕层土壤质量评价指标［J］.农业工程学报，2018，34（7）：155‑164.
JIN H F，SHI D M，CHEN Z F，et al. Evaluation indicators of cultivated layer soil quality for red soil slope farmland based on cluster and PCA analysis［J］.Transactions of the Chinese Society of Agricultural Engineering，2018，34（7）：155‑164.

［33］赵彦坤，张文胜，王幼宁，等. 高pH对植物生长发育的影响及其分子生物学研究进展［J］.中国生态农业学报，2008，16（3）：783‑787.
ZHAO Y K，ZHANG W S，WANG Y N，et al.Research progress in physiology and molecular biology of plant responses to high pH［J］.Chinese Journal of Eco‑Agriculture，2008，16（3）：783‑787.

［34］VASU D，SINGH S K，RAY S K，et al. Soil quality index（SQI）as a tool to evaluate crop productivity in semi‑arid Deccan plateau，India［J］. Geoderma，2016，282：70‑79.

［35］LIU L K，ZHAO G J，AN Z F，et al. Effect of grazing intensity on alpine meadow soil quality in the eastern Qinghai‑Tibet Plateau，China［J］. Ecological Indicators，2022，141：109111.

［36］TIAN K，ZHANG B E，ZHANG H D，et al. Evaluation of soil quality in major grain‑producing region of the North China Plain：Integrating minimum data set and established critical limits［J］. Ecological Indicators，2020，117：106613.

［37］LI P，SHI K，WANG Y Y，et al. Soil quality assessment of wheat‑maize cropping system with different productivities in China：Establishing a minimum data set［J］. Soil and Tillage Research，2019，190：31‑40.

［38］丁俊男，于少鹏，史传奇.黑龙江哈尔滨白渔泡国家湿地公园沼泽、林地和农田土壤物理、化学和生物性质差异［J］. 湿地科学，2020，18（1）：77‑84.
DING J N，YU S P，SHI C Q. Differences of physical，chemical and biological properties of soils of marsh，forest land and farmland in Heilongjiang Harbin Baiyupo National Wetland Park［J］.Wetland Science，2020，18（1）：77‑84.

［39］卓志清，李勇，勾宇轩，等. 基于最小数据集的东北旱作区耕层质量评价与障碍诊断［J］. 农业机械学报，2021，52（9）：321‑330.
ZHUO Z Q，LI Y，GOU Y X，et al. Quality evaluation and obstacle diagnosis of plough horizon based on minimum data set in dry farming region of Northeast China［J］.Transactions of the Chinese Society for Agricultural Machinery，2021，52（9）：321‑330.

［40］BO SEONG S E O，JEONG Y J，NU RI B，et al.Soil texture affects the conversion factor of electrical conductivity from 1∶5 soil‑water to saturated paste extracts［J］.Pedosphere，2022，32（6）：905‑915.

［41］BRONICK C J，LAL R. Soil structure and management：A review［J］. Geoderma，2005，124（1/2）：3‑22.

［42］张俊伶，张江周，申建波，等. 土壤健康与农业绿色发展：机遇与对策［J］. 土壤学报，2020，57（4）：783‑796.
ZHANG J L，ZHANG J Z，SHEN J B，et al. Soil health and agriculture green development：Opportunities and challenges［J］. Acta Pedologica Sinica，2020，57（4）：783‑796.

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