Jiangzhou Zhang , Jin Cheng , Delian Ye , Muhammad Abu Bakar Saddique , Muhammad Atif Muneer , Haigang Li
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Subsequently, field experiments, including conventional farming practice (CFP) and soil health management (SHM) treatments, were conducted to improve soil health. The results showed that sand, aggregate stability (AgStab), pH, available potassium (AK), iron (Fe), POXC, respiration, and β-glucosidase (BG) were critical indicators for MDS. Soil health indices (SHIs) calculated using the CASH, L, and NL methods based on MDS were 0.48, 0.47, and 0.46, respectively, indicating a moderate level of soil health. SHIs derived from TDS (total data set) and MDS showed a significant positive correlation. The CASH approach was identified as the most effective method for calculating SHI, as it exhibited the highest coefficient of variation (CV) compared to the L and NL methods. In the field experiments, the soil pH, AK, Ca, Mg, SOM, POXC, and protein content were significantly higher under the SHM treatment than under the CFP treatment. The SHM treatment also significantly improved the SHI (0.57) and the yield of green plum (27.3 t ha<sup>−1</sup>), compared to the CFP treatment (SHI, 0.52; CFP, 13.6 t ha<sup>−1</sup>). These findings demonstrate that MDS-based PCA is an effective tool for assessing soil health in green plum orchards in Southeast China. Moreover, SHM practices can synergistically improve soil health and crop yield, providing insights into mitigating soil constraints and promoting sustainable development in green plum production systems.</div></div>","PeriodicalId":21679,"journal":{"name":"Scientia Horticulturae","volume":"347 ","pages":"Article 114186"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing soil health assessment and improvement strategies in green plum (Vatica mangachapoi Blanco) Orchards: Insights from southeast China\",\"authors\":\"Jiangzhou Zhang , Jin Cheng , Delian Ye , Muhammad Abu Bakar Saddique , Muhammad Atif Muneer , Haigang Li\",\"doi\":\"10.1016/j.scienta.2025.114186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Soil health assessment effectively identifies key soil-limiting factors, enabling targeted decisions for agricultural management. Hence, the selection of representative soil indicators and appropriate assessment approaches is critical for effective evaluation. However, most studies focus solely on evaluating soil health without offering actionable strategies to improve soil health, especially in cash crop systems. In this study, soil samples were collected from green plum orchards in Zhao County, southeast China, to establish a minimum data set (MDS) and assess soil health using the Comprehensive Assessment of Soil Health (CASH), as well as linear (L) and nonlinear (NL) methods. Subsequently, field experiments, including conventional farming practice (CFP) and soil health management (SHM) treatments, were conducted to improve soil health. The results showed that sand, aggregate stability (AgStab), pH, available potassium (AK), iron (Fe), POXC, respiration, and β-glucosidase (BG) were critical indicators for MDS. Soil health indices (SHIs) calculated using the CASH, L, and NL methods based on MDS were 0.48, 0.47, and 0.46, respectively, indicating a moderate level of soil health. SHIs derived from TDS (total data set) and MDS showed a significant positive correlation. The CASH approach was identified as the most effective method for calculating SHI, as it exhibited the highest coefficient of variation (CV) compared to the L and NL methods. In the field experiments, the soil pH, AK, Ca, Mg, SOM, POXC, and protein content were significantly higher under the SHM treatment than under the CFP treatment. The SHM treatment also significantly improved the SHI (0.57) and the yield of green plum (27.3 t ha<sup>−1</sup>), compared to the CFP treatment (SHI, 0.52; CFP, 13.6 t ha<sup>−1</sup>). These findings demonstrate that MDS-based PCA is an effective tool for assessing soil health in green plum orchards in Southeast China. 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引用次数: 0
摘要
土壤健康评估有效地确定了关键的土壤限制因素,使农业管理能够做出有针对性的决策。因此,选择具有代表性的土壤指标和合适的评价方法是有效评价的关键。然而,大多数研究仅侧重于评估土壤健康,而没有提供可操作的策略来改善土壤健康,特别是在经济作物系统中。本研究以中国东南部赵县青梅园为研究对象,建立最小数据集(MDS),采用土壤健康综合评价(CASH)方法,结合线性(L)和非线性(NL)方法对土壤健康进行评价。随后,进行了常规耕作方法(CFP)和土壤健康管理(SHM)处理的田间试验,以改善土壤健康。结果表明,砂、团聚稳定性(AgStab)、pH、速效钾(AK)、铁(Fe)、POXC、呼吸作用和β-葡萄糖苷酶(BG)是MDS的关键指标。基于MDS的CASH、L和NL方法计算的土壤健康指数(SHIs)分别为0.48、0.47和0.46,土壤健康处于中等水平。从TDS(总数据集)得出的SHIs与MDS呈显著正相关。与L和NL方法相比,CASH方法显示出最高的变异系数(CV),因此被认为是计算SHI最有效的方法。在田间试验中,土壤pH、AK、Ca、Mg、SOM、POXC和蛋白质含量均显著高于CFP处理。与CFP处理(SHI, 0.52)相比,SHM处理也显著提高了青梅的SHI(0.57)和产量(27.3 t ha - 1);CFP值为13.6 t ha−1)。这些结果表明,基于mds的主成分分析法是评价东南地区青梅果园土壤健康状况的有效工具。此外,SHM实践可以协同改善土壤健康和作物产量,为缓解土壤约束和促进青梅生产系统的可持续发展提供见解。
Advancing soil health assessment and improvement strategies in green plum (Vatica mangachapoi Blanco) Orchards: Insights from southeast China
Soil health assessment effectively identifies key soil-limiting factors, enabling targeted decisions for agricultural management. Hence, the selection of representative soil indicators and appropriate assessment approaches is critical for effective evaluation. However, most studies focus solely on evaluating soil health without offering actionable strategies to improve soil health, especially in cash crop systems. In this study, soil samples were collected from green plum orchards in Zhao County, southeast China, to establish a minimum data set (MDS) and assess soil health using the Comprehensive Assessment of Soil Health (CASH), as well as linear (L) and nonlinear (NL) methods. Subsequently, field experiments, including conventional farming practice (CFP) and soil health management (SHM) treatments, were conducted to improve soil health. The results showed that sand, aggregate stability (AgStab), pH, available potassium (AK), iron (Fe), POXC, respiration, and β-glucosidase (BG) were critical indicators for MDS. Soil health indices (SHIs) calculated using the CASH, L, and NL methods based on MDS were 0.48, 0.47, and 0.46, respectively, indicating a moderate level of soil health. SHIs derived from TDS (total data set) and MDS showed a significant positive correlation. The CASH approach was identified as the most effective method for calculating SHI, as it exhibited the highest coefficient of variation (CV) compared to the L and NL methods. In the field experiments, the soil pH, AK, Ca, Mg, SOM, POXC, and protein content were significantly higher under the SHM treatment than under the CFP treatment. The SHM treatment also significantly improved the SHI (0.57) and the yield of green plum (27.3 t ha−1), compared to the CFP treatment (SHI, 0.52; CFP, 13.6 t ha−1). These findings demonstrate that MDS-based PCA is an effective tool for assessing soil health in green plum orchards in Southeast China. Moreover, SHM practices can synergistically improve soil health and crop yield, providing insights into mitigating soil constraints and promoting sustainable development in green plum production systems.
期刊介绍:
Scientia Horticulturae is an international journal publishing research related to horticultural crops. Articles in the journal deal with open or protected production of vegetables, fruits, edible fungi and ornamentals under temperate, subtropical and tropical conditions. Papers in related areas (biochemistry, micropropagation, soil science, plant breeding, plant physiology, phytopathology, etc.) are considered, if they contain information of direct significance to horticulture. Papers on the technical aspects of horticulture (engineering, crop processing, storage, transport etc.) are accepted for publication only if they relate directly to the living product. In the case of plantation crops, those yielding a product that may be used fresh (e.g. tropical vegetables, citrus, bananas, and other fruits) will be considered, while those papers describing the processing of the product (e.g. rubber, tobacco, and quinine) will not. The scope of the journal includes all horticultural crops but does not include speciality crops such as, medicinal crops or forestry crops, such as bamboo. Basic molecular studies without any direct application in horticulture will not be considered for this journal.