Soil Quality Assessment in Diversified Long-Term Experimentation Under Different Agriculturally Based Cropping Systems

Brar, Sharanjit Kaur; Dhaliwal, Salwinder Singh; Sharma, Vivek; Sharma, Sandeep; Kaur, Manpreet

doi:10.1007/s42729-023-01134-5

Cited by 8 publications

(4 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adequate N supply improves above-ground biomass, grain yields, root development (volume, area, diameter, length, mass), nutrient uptake, nutritional balance, and dry mass production (Good et al, 2004;Diaz et al, 2006). K is also frequently used as an SQ indicator in earlier studies (Bünemann et al, 2018;Shi et al, 2021;Maini et al, 2022;Brar et al, 2023). While evaluating SQ under different land use systems Vashisht et al (2020) and Shao et al (2020) also identified K as one of the MDS.…”

Section: Selection Of Minimum Dataset (Mds)mentioning

confidence: 99%

Comparative analysis of soil quality indexing techniques for various tree based land use systems in semi-arid India

Uthappa,

Devakumar,

Das

et al. 2024

Front. For. Glob. Change

View full text Add to dashboard Cite

Inappropriate management of land use systems is one of the main factors that leads to soil quality degradation and its quantification is crucial to their sustainable utilization planning. The objective of the research is to evaluate how various land-use systems, viz., natural forest, tree plantations of Tectona grandis, Terminalia bellirica, Swietenia macrophylla, Artocarpus hirsutus, Melia dubia based agroforestry system, horticulture (Mangifera indica) and agriculture systems impact the soil physicochemical and biological characteristics in semi-arid climatic conditions of India. Principal component analysis followed by linear and non-linear scoring methods was employed to compute the soil quality index (SQI). The soil attributes viz., dehydrogenase activity, acid phosphatase activity, soil available nitrogen, potassium, calcium, porosity, and soil available iron emerged as significant indicators for assessing the soil quality. Among different SQIs, non-linear weighted SQI can efficiently assess soil quality. Based on the non-linear weighted SQI, the order of the systems studied was natural forest (0.973) > Swietenia macrophylla (0.756) > agroforestry (0.737) > agriculture (0.556) > Tectona grandis (0.416) > Terminalia bellirica (0.373) > Artocarpus hirsutus (0.343) > Mangifera indica (0.208). The study concludes that converting natural forests into different land-use systems deteriorated the soil quality. Identifying soil indicators will help rapidly diagnose soil degradation, assess soil-based ecosystem services, and design appropriate land management practices in the future.

show abstract

Section: Selection Of Minimum Dataset (Mds)mentioning

confidence: 99%

Comparative analysis of soil quality indexing techniques for various tree based land use systems in semi-arid India

Uthappa,

Devakumar,

Das

et al. 2024

Front. For. Glob. Change

View full text Add to dashboard Cite

show abstract

“…Soil organic carbon controls many soil physical, chemical, and biological processes that affect plant growth and sustainability [63] and plays a key role in soil function. At the same time, studies have shown that the SWC is an important water-holding indicator that affects plant growth and ecological processes [26,64]. During the growth of vegetation, changes in soil moisture directly affect the growth of plants, and owing to differences in vegetation types and coverage, it affects evaporation, seepage, soil structure, and soil water-holding capacity [65].…”

Section: Effects Of Dominant Factors On Soil Qualitymentioning

confidence: 99%

Soil Quality Evaluation and Dominant Factor Analysis of Economic Forest in Loess Area of Northern Shaanxi

Qiang

Liu

et al. 2023

Forests

View full text Add to dashboard Cite

Choosing economically important trees and establishing planting patterns can improve soil quality in economic forests. To clarify the soil quality status of the main economic forest land distributed in northern Shaanxi, the research object in this study was jujube and apple economic forests, and the control was grassland. By evaluating 17 soil indicators, the minimum data set (MDS) and structural equation model (SEM) were used to analyze the soil quality status and its dominant factors under different economic forests and land preparation methods. The results showed that (1) compared with grassland, the economic forest has a certain improvement and promotion in soil’s properties, mainly in the water-holding capacity and available nutrients. Compared to the undisturbed slope, the level bench had better physical and chemical properties. (2) Six indicators were identified as the minimum data set for assessing soil quality, including the soil organic carbon, saturated water content, bulk density, alkaline nitrogen, sand, and total capillary porosity. In addition, structural equation model analysis showed that the soil organic carbon, saturated water content, alkaline nitrogen, and capillary porosity were the dominant factors affecting soil quality in the study area. (3) Jujube trees exhibited the highest soil quality and the best restoration effect, followed by apple trees, while grassland had the poorest restoration effect. The soil quality of undisturbed slopes under different land preparation methods was lower than that of the level bench land preparation. The outcomes of this study are to provide data support and a theoretical basis for improving soil quality, enhancing ecological benefits, and selecting and managing economic forest species, in the study area and similar regions in the future.

show abstract

“…In the current research, there have been studies on soil characteristics and soil quality index; nevertheless, there has been little research on the relationship between soil physicochemical properties, crop yield, and soil quality (Liu, Liu, et al, 2023; Wang et al, 2024). Furthermore, some studies only indicated differences in soil quality between treatments and did not clearly pinpoint the best local management model (Brar et al, 2023; Waring et al, 2024). Therefore, building upon these insights, the ensuing assumptions are posited: (a) Discernible correlations persist amongst distinct soil physicochemical properties; (b) Interrelationships prevail among crop yields, soil properties, and overall soil quality; (c) An optimal management paradigm for crop cultivation is likely to emerge.…”

Section: Introductionmentioning

confidence: 99%

Effects of different tillage and fertilizer on soil quality under wheat‐maize rotation in the North China Plain

Zhang,

Chen,

Guo

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

The North China Plain plays an important role in China's crop cultivation regions, with the wheat‐maize rotation serving as the predominant cropping system. Nonetheless, a dearth of research refers to the impact of tillage and fertilizer employment on soil quality (SQ) in this region. In this study, the primary objective centered on utilizing the soil quality index (SQI) derived from both minimum and total datasets (MDS, TDS) by the linear and nonlinear scoring criteria to assess SQ. The results indicated that there was a significant correlation between wheat‐maize yield and SQI, revealing a significant association between yield and key soil parameters such as bulk density, soil porosity, total phosphorus, alkali‐hydrolyzed nitrogen, available phosphorus and cation exchange capacity at 0–60 cm soil layer. The study identifies that substantially elevated SQI mean values were completely under T8 whose values were 0.980 (linear), 0.672 (nonlinear) under MDS and 0.908 (linear), 0.701 (nonlinear) under TDS at 20–40 cm. Importantly, the annual yields were the highest when the SQI values were the maximum. Furthermore, SQ levels within this locale demonstrate a moderate to highly favorable status, ultimately underscoring the area's propitious conditions for crop cultivation. This research provides indispensable theoretical guidance for agricultural practitioners and offers a foundational framework supporting enhanced yields in local grain crops.

show abstract

Soil Quality Assessment in Diversified Long-Term Experimentation Under Different Agriculturally Based Cropping Systems

Cited by 8 publications

References 56 publications

Comparative analysis of soil quality indexing techniques for various tree based land use systems in semi-arid India

Comparative analysis of soil quality indexing techniques for various tree based land use systems in semi-arid India

Soil Quality Evaluation and Dominant Factor Analysis of Economic Forest in Loess Area of Northern Shaanxi

Effects of different tillage and fertilizer on soil quality under wheat‐maize rotation in the North China Plain

Contact Info

Product

Resources

About