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Research article · 2025 · Full text

International Journal of Agriculture and Nutrition

Long-term effects of integrated nutrient management on soil organic carbon and microbial biomass

Bett Kosgei

Volume 7(2) · Pages 166–168 · DOI: 10.33545/26646064.2025.v7.i2c.476 ↗

Research areasSoil Carbon and Nitrogen DynamicsAgricultural Science and FertilizationSoil Management and Crop Yield

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Abstract

Author-written

Fifteen years of data from Mombasa, Kenya, showed that INM (50%RDF+25%FYM+25%VC) reached SOC of 0.79% versus 0.49% under 100% RDF and 0.36% control. MBC was 384 vs 218 vs 142 μg g⁻¹. Annual C sequestration rate under INM was 0.68 t C ha⁻¹ yr⁻¹, exceeding the 4 per mille target.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • There is a gap in knowledge concerning how integrated nutrient management (INM) affects soil organic carbon and microbial biomass over the long term. View evidence ↗

      Why it matters

      There is a gap in knowledge concerning how integrated nutrient management (INM) affects soil organic carbon and microbial biomass over the long term.

      In the paper's own words

      “This research addressed a gap in current knowledge regarding long-term effects of integrated nutrient management on soil organic carbon and microbial biomass.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • While the topic is gaining attention, there is limited field data available for the specific agro-ecological context of this study. View evidence ↗

      Why it matters

      While the topic is gaining attention, there is limited field data available for the specific agro-ecological context of this study.

      In the paper's own words

      “The topic has received growing attention in recent literature [1, 2], yet field data from the specific agro-ecological context of this research remain limited [3].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • General principles of nutrient management are known, but they require validation through site-specific application in local conditions. View evidence ↗

      Why it matters

      General principles of nutrient management are known, but they require validation through site-specific application in local conditions.

      In the paper's own words

      “Previous work has established the general principles [4], but practical application under local conditions requires site-specific validation [5].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to evaluate the performance of nutrient management under specific conditions and identify factors strongly associated with the measured outcomes. View evidence ↗

      The question

      The study aimed to evaluate the performance of nutrient management under specific conditions and identify factors strongly associated with the measured outcomes.

      In the paper's own words

      “The objectives of this research were to evaluate performance under the specified conditions and to identify the factors most strongly associated with the outcomes measured.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The research utilized fifteen years of data collected from Mombasa, Kenya. View evidence ↗

      What they did

      The research utilized fifteen years of data collected from Mombasa, Kenya.

      In the paper's own words

      “Fifteen years of data from Mombasa, Kenya”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • The experimental design used was a randomised complete block design with replications. View evidence ↗

      What they did

      The experimental design used was a randomised complete block design with replications.

      In the paper's own words

      “The experiment followed a randomised complete block design with appropriate replications.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Statistical analysis involved analysis of variance and post-hoc tests (p<0.05) using SAS 9.4 or R 4.2.1. View evidence ↗

      What they did

      Statistical analysis involved analysis of variance and post-hoc tests (p<0.05) using SAS 9.4 or R 4.2.1.

      In the paper's own words

      “Data were subjected to analysis of variance and means were compared by appropriate post-hoc tests at p<0.05. Statistical analysis was performed using SAS 9.4 or R 4.2.1 as appropriate [9, 10].”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
  4. What they found

    • Integrated Nutrient Management (INM), consisting of 50% RDF, 25% FYM, and 25% VC, resulted in a soil organic carbon (SOC) level of 0.79%, which was higher than the 0.49% found with 100% RDF and the 0.36% in the control group. View evidence ↗

      What they found

      Integrated Nutrient Management (INM), consisting of 50% RDF, 25% FYM, and 25% VC, resulted in a soil organic carbon (SOC) level of 0.79%, which was higher than the 0.49% found with 100% RDF and the 0.36% in the control group.

      In the paper's own words

      “INM (50%RDF+25%FYM+25%VC) reached SOC of 0.79% versus 0.49% under 100% RDF and 0.36% control.”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • The annual carbon sequestration rate under the INM treatment was 0.68 t C ha⁻¹ yr⁻¹, which exceeded the 4 per mille target. View evidence ↗

      What they found

      The annual carbon sequestration rate under the INM treatment was 0.68 t C ha⁻¹ yr⁻¹, which exceeded the 4 per mille target.

      In the paper's own words

      “Annual C sequestration rate under INM was 0.68 t C ha⁻¹ yr⁻¹, exceeding the 4 per mille target.”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
  5. What it means

    • The authors conclude that the tested INM approach provides measurable benefits over conventional practices and should be widely adopted after further validation at other sites. View evidence ↗

      What it means

      The authors conclude that the tested INM approach provides measurable benefits over conventional practices and should be widely adopted after further validation at other sites.

      In the paper's own words

      “The practical implications are clear: the approach tested offers measurable benefits over conventional practices and merits wider adoption following validation at additional sites [4, 6].”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

1 visuals

Illustrations explain the paper; they do not show study data.

AI-generated illustration
AI-generated conceptual illustration (Agricultural soil profiles with crop roots). It explains the idea and does not show study data.↗ Enlarge
Nutrient Management Comparison
AI-generated conceptual illustration (Agricultural soil profiles with crop roots). It explains the idea and does not show study data.

AI-generated conceptual illustration (Agricultural soil profiles with crop roots). It explains the idea and does not show study data.

Open full-size image ↗

Nutrient Management Comparison

AI-generated conceptual illustration (Agricultural soil profiles with crop roots). It explains the idea and does not show study data.

View source evidence ↗

Figures & tables

From the original paper
Visual representation of key findings from this researchFigure 1Page 2Visual representation of key findings from this researchFigure 2Page 2Visual representation of key findings from this researchFigure 3Page 3
FULL TEXT Original article · reflowed for reading

Introduction

This research addressed a gap in current knowledge regarding long-term effects of integrated nutrient management on soil organic carbon and microbial biomass. The topic has received growing attention in recent literature [1, 2], yet field data from the specific agro-ecological context of this research remain limited [3]. Previous work has established the general principles [4], but practical application under local conditions requires site-specific validation [5]. The objectives of this research were to evaluate performance under the specified conditions and to identify the factors most strongly associated with the outcomes measured.

The work was carried out at the institution described in the author affiliations, using standard methodological approaches appropriate to the discipline [6].

Material And Methods

Material All experimental materials were sourced from certified suppliers or institutional collections. The research site is described by the author affiliations. Field and laboratory equipment followed standard specifications for the discipline. Chemical reagents and analytical instruments were of appropriate grade for the analyses performed [7, 8].

Methods

The experiment followed a randomised complete block design with appropriate replications. Standard analytical methods were used for all measurements. Data were subjected to analysis of variance and means were compared by appropriate post-hoc tests at p<0.05. Statistical analysis was performed using SAS 9.4 or R 4.2.1 as appropriate [9, 10].

Results

Fifteen years of data from Mombasa, Kenya, showed that INM (50%RDF+25%FYM+25%VC) reached SOC of 0.79% versus 0.49% under 100% RDF and 0.36% control. MBC was 384 vs 218 vs 142 μg g⁻¹. Annual C sequestration rate under INM was 0.68 t C ha⁻¹ yr⁻¹, exceeding the 4 per mille target. IJAN 2025; 7(2): 166-168 Bett Kosgei Department of Pedology and Soil Management, Coastal Agricultural Institute, Mombasa, Kenya Bett Kosgei Department of Pedology and Soil Management, Coastal Agricultural Institute, Mombasa, Kenya https://www.agriculturejournal.net Fig 1: Visual representation of key findings from this research Fig 2: Visual representation of key findings from this research https://www.agriculturejournal.net effectiveness of organic and inorganic nutrient management.

Figure 2. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 2
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 1. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 1
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Field Crops Res. 2004;86(2-3):155-166. 7. Swarup A. Integrated plant nutrient supply and management strategies for enhancing soil quality. Indian J Fertil. 2010;6(4):38-41. 8.

Tiwari KN. Integrated nutrient management for sustainable agriculture. J Indian Soc Soil Sci. 2002;50(4):374-377. 9. Vance ED, Brookes PC, Jenkinson DS.

Microbial biomass measurements in soil. Soil Biol Biochem. 1987;19(6):703-707. 10. Anderson TH, Domsch KH. Ratios of microbial biomass carbon to total organic carbon.

Soil Biol Biochem. 1989;21(4):471-479. 11. Jenkinson DS, Ladd JN. Microbial biomass in soil: measurement and turnover. In: Paul EA, Ladd JN, editors.

Soil biochemistry. New York: Marcel Dekker; 1981. p. 415-471. 12. Six J, Conant RT, Paul EA, Paustian K. Stabilization mechanisms of soil organic matter.

Plant Soil. 2002;241(2):155-176. 13. Bhattacharyya R, Kundu S, Prakash V, Gupta HS. Sustainability under integrated nutrient management. Soil Tillage Res. 2008;98(2):200-207. 14.

Hati KM, Swarup A, Dwivedi AK, Misra AK, Bandyopadhyay KK. Changes in soil physical properties and organic carbon. Soil Tillage Res. 2007;94(2):300-308. 15. Mandal A, Patra AK, Singh D, Swarup A, Masto RE.

Effect of long-term nutrient management on soil quality. Soil Tillage Res. 2007;94(2):318-330. 16. Powlson DS, Whitmore AP, Goulding KWT. Soil carbon sequestration to mitigate climate change.

Eur J Soil Sci. 2011;62(1):42-55. 17. Paustian K, Six J, Elliott ET, Hunt HW. Management options for reducing CO₂ emissions from soils. Biogeochemistry. 2000;48(1):147-163. 18.

Blair GJ, Lefroy RDB, Lisle L. Soil carbon fractions and their development. Aust J Agric Res. 1995;46(7):1459-1466. 19. Jackson ML.

Soil chemical analysis. New Delhi: Prentice Hall of India; 1973. 20. Fisher RA. Statistical methods for research workers.

Edinburgh: Oliver and Boyd; 1950. Fig 3: Visual representation of key findings from this research

Figure 3. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 3
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Discussion

The results of this research are consistent with findings reported in the literature [1, 3, 5] while providing new insights specific to the local conditions under which the work was conducted. The practical implications are clear: the approach tested offers measurable benefits over conventional practices and merits wider adoption following validation at additional sites [4, 6].

Conclusion

Fifteen years of data from Mombasa, Kenya, showed that INM (50%RDF+25%FYM+25%VC) reached SOC of 0.79% versus 0.49% under 100% RDF and 0.36% control. MBC was 384 vs 218 vs 142 μg g⁻¹. Annual C sequestration rate under INM was 0.68 t C ha⁻¹ yr⁻¹, exceeding the 4 per mille target.

Acknowledgements

Funding sources Supported by institutional research funds. Institutional support The authors thank the host institution for facilities. Contributions not qualifying for authorship Thanks to technical staff who assisted with fieldwork and laboratory analyses.

References

6 in the original paper
  1. Brady NC, Weil RR. The nature and properties of soils. 14th ed. Upper Saddle River: Prentice Hall; 2008.
  2. Stevenson FJ. Humus chemistry: genesis, composition, reactions. 2nd ed. New York: Wiley; 1994.
  3. Lal R. Soil carbon sequestration impacts on global climate change and food security. Science. 2004;304(5677):1623-1627.
  4. Smith P, Martino D, Cai Z, Gwary D, Janzen H, Kumar P, et al. Greenhouse gas mitigation in agriculture. Philos Trans R Soc Lond B Biol Sci. 2008;363(1492):789-813.
  5. Food and Agriculture Organization. Soil organic carbon: the hidden potential. Rome: FAO; 2017. Available from: https://www.fao.org
  6. Ghosh PK, Ramesh P, Bandyopadhyay KK, Tripathi AK, Hati KM, Misra AK, et al. Comparative