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中国农学通报 ›› 2024, Vol. 40 ›› Issue (26): 8-14.doi: 10.11924/j.issn.1000-6850.casb2023-0797

• 农学·农业基础科学 • 上一篇    下一篇

间作模式对红壤理化性质和大豆品质的影响

李华健1(), 邓国军1, 罗贞媛1, 农全东1, 李春情1, 农彬2, 陈碧钦3, 胡校章4, 刘娜1(), 文和明1()   

  1. 1 文山州农业科学院,云南文山 663000
    2 广南县农业农村绿色发展中心,云南广南 663300
    3 广南县农业技术推广服务中心,云南广南 663300
    4 广南县农业机械安全服务中心,云南广南 663300
  • 收稿日期:2023-11-21 修回日期:2024-02-28 出版日期:2024-09-15 发布日期:2024-09-11
  • 通讯作者:
    刘娜,女,1981年出生,云南文山人,正高级农艺师,本科,主要从事作物遗传育种研究。通信地址:663000 云南省文山州文山市泰康西路2号 文山州农业科学院,Tel:0876-3037542,E-mail:
    文和明,女,1967年出生,云南文山人,农业推广研究员,本科,主要从事特色油料作物(大豆、油菜)新品种选育及试验示范。通信地址:663000 云南省文山州文山市泰康西路2号 文山州农业科学院,Tel:0876-3037542, E-mail:
  • 作者简介:

    李华健,男,1993年出生,云南曲靖人,农艺师,硕士,主要从事农产品生产加工研究。通信地址:663000 云南省文山州文山市泰康西路2号 文山州农业科学院,Tel:0876-3037542,E-mail:

  • 基金资助:
    云南省科技人才与平台计划项目“技术创新人才培养对象项目”(202105AD160043); 云南省科技人才与平台计划项目“院士专家工作站”(202305AF150004); 云南省科技特派员“服务型科技特派员”(202204BK090702); 文山州“七乡产业技术领军人才”项目

Effects of Intercropping Patterns on Physicochemical Properties of Red Soil and Soybean Qualities

LI Huajian1(), DENG Guojun1, LUO Zhenyuan1, NONG Quandong1, LI Chunqing1, NONG Bin2, CHEN Biqin3, HU Xiaozhang4, LIU Na1(), WEN Heming1()   

  1. 1 Wenshan Academy of Agricultural Sciences, Wenshan, Yunnan 663000
    2 Green Development Center of Guangnan Agricultural and Rural Bureau, Guangnan, Yunnan 663300
    3 Agricultural Technology Extension Service Center of Guangnan County, Guangnan, Yunnan 663300
    4 Agricultural Machinery Safety Service Center of Guangnan County, Guangnan, Yunnan 663300
  • Received:2023-11-21 Revised:2024-02-28 Published:2024-09-15 Online:2024-09-11

摘要:

本研究旨在评估不同种植模式对红壤理化性质及大豆品质的影响,以确定最适合大豆的种植模式。采用单因素方差分析法对比分析了大豆单作、玉米间作大豆和木薯间作大豆不同种植模式对红壤理化性质(pH、电导率和有机质、水解性氮、全磷、速效钾含量)和大豆营养品质(糖、粗蛋白、粗脂肪含量)的影响,并采用PLSR分析法探究红壤理化性质与大豆品质的关系。结果表明,木薯与大豆间作模式显著提高了红壤的pH、电导率、水解性氮以及大豆中的粗蛋白质和粗脂肪含量 (P<0.05),其有机质和速效钾含量也相对较高。PLS2分析结果显示,土壤pH和电导率与品质指标具有显著相关性。进一步的PLS1分析揭示了电导率与糖含量呈显著负相关,与粗脂肪含量呈显著正相关;而土壤pH和电导率与大豆粗蛋白质含量呈现著正相关(P<0.05)。土壤pH和电导率对大豆品质的影响较大。木薯间作大豆对改善红壤pH和电导率、提高大豆营养品质具有积极效果,其种植模式优于玉米间作大豆。

关键词: 大豆, 间作, 红壤理化性质, 营养品质, 偏最小二乘回归法, 种植模式

Abstract:

The aims are to explore the effects of different soybean planting patterns on the physicochemical properties of red soil and soybean quality and identify suitable planting patterns for soybeans, providing theoretical basis for improving the physicochemical properties of red soil and the nutritional quality of soybeans, and guide production practice. The one-way ANOVA method was used to compare and analyze the effects of different planting modes of soybean monoculture, maize-soybean intercropping and cassava-soybean intercropping on the physicochemical properties (pH, electrical conductivity and organic matter, hydrolytic nitrogen, total phosphorus, and available potassium contents) of red soil and the nutritional qualities (sugar, crude protein and fat contents) of soybean. The PLSR analysis method was used to explore the relationship between the physicochemical properties of red soil and soybean qualities. The pH, electrical conductivity, hydrolytic nitrogen, crude protein and fat content of cassava-soybean intercropping were significantly higher than those of soybean monoculture (P<0.05), and their organic matter and available potassium contents were also relatively higher. The PLS2 analysis results showed that there was a significant correlation between the pH and electrical conductivity of red soil and quality indicators of soybeans. The PLS1 analysis further found that there was a significant negative correlation between electrical conductivity and sugar content, and a significant positive correlation with crude fat content; the pH and electrical conductivity of red soil are positively correlated with the crude protein content of soybeans(P<0.05). The pH and electrical conductivity of soil have a significant impact on the quality of soybeans. Cassava-soybean intercropping has a positive effect on improving the pH and electrical conductivity of red soil as well as improving the nutritional quality of soybean. The planting mode is superior to maize-soybean intercropping.

Key words: soybean, intercropping, soil physicochemical properties of red soil, nutritional quality, partial least squares regression, planting pattern