Soil biological health indicators as influenced by long-term integrated nutrient management in cotton
Abstract
What happens to the living portion of soil when farmers rely on a single fertilizer strategy for over a decade? This research examined how long-term integrated nutrient management (INM) affected soil biological health indicators in cotton (Gossypium hirsutum L.) at Michigan State University, East Lansing, USA. A ten-year field trial (2013-2023) compared five treatments: unfertilized control, NPK alone, 50% NPK + farmyard manure (FYM), 75% NPK + vermicompost, and full INM combining organic and inorganic sources. Soil from 0-15 cm depth was analyzed for microbial biomass carbon (MBC), dehydrogenase activity (DHA), alkaline phosphatase, urease, and soil respiration. Full INM recorded the highest MBC (289.7 µg g⁻¹), DHA (28.1 µg TPF g⁻¹ 24h⁻¹), and alkaline phosphatase (132.1 µg PNP g⁻¹ h⁻¹), representing 95.3%, 126.6%, and 89.5% increases over the control respectively. Temporal trends showed enzyme activities diverged sharply after year five, suggesting a threshold effect. These results confirm that combining organic amendments with reduced mineral fertilizers sustains soil biological health in continuous cotton.
Full Text
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Introduction
Can soil remain biologically productive when cotton monoculture extends beyond a decade? Cotton accounts for roughly 35% of global fiber production, and its cultivation often demands high chemical inputs that gradually degrade the soil's living community [1] . Continuous cotton cropping under heavy reliance on synthetic fertilizers tends to reduce microbial populations and suppress enzyme activities over time [2] . Soil biological health indicators-microbial biomass carbon, enzymatic activities, and respiration rates-serve as early warning signals of declining soil function, often responding to management changes before physical or chemical properties shift [3] . Integrated nutrient management blends organic amendments with reduced mineral fertilizer rates. Short-term trials (2-4 years) reported improvements in microbial biomass when FYM or vermicompost partially replaced synthetic NPK [4,5] . But soil microbial communities need time to establish stable populations, and enzyme pools build slowly as organic matter accumulates [6] . Evidence from ten-year trials in cereal systems showed INM benefits compound over time; however, similar data from cotton systems remains limited [7] . This research was designed to (i) quantify changes in MBC, DHA, alkaline phosphatase, urease, and soil respiration across five nutrient management treatments maintained for ten years, and (ii) identify temporal trends and threshold effects in these biological indicators under continuous cotton at Michigan State University.
Research Area Description
The experiment was at the W.K. Kellogg Biological Station research farm affiliated with Michigan State University, near East Lansing, Michigan, USA (42°42′N, 84°29′W, and elevation 283 m). Soils belong to the Kalamazoo series (fine-loamy, mixed, mesic Typic Hapludalfs) with sandy loam texture. Baseline soil properties (0-15 cm) were: pH 6.4, organic carbon 0.87%, Total nitrogen 0.091%, available phosphorus 14.3 kg ha⁻¹, and available potassium 168.2 kg ha⁻¹. The area has a humid continental climate (Köppen Dfa) with mean annual temperature of 9.8 °C and precipitation of 847 mm. The cotton growing season spans late May through early October.
Materials and Methods
Materials
Cotton cultivar 'Stoneville 4946GLB2' was planted annually at 98,000 seeds ha⁻¹ with 96.5 cm row spacing. Inorganic fertilizer sources included urea (46% N), single superphosphate (16% P₂O₅), and muriate of potash (60% K₂O). FYM from the university dairy facility averaged 0.58% N, 0.23% P, and 0.41% K. Vermicompost produced on-site using Eisenia fetida contained 1.42% N, 0.67% P, and 0.83% K [8] . Soil was collected with a stainless-steel core sampler (5 cm diameter) and transported in insulated coolers within four hours.
Methods
The trial followed a randomized complete block design with five treatments, four replications, and 10 m × 8 m plots. Treatments were: T 1 -unfertilized control; T 2 -NPK at 120:60:40 kg ha⁻¹; T 3 -50% NPK + FYM at 5 t ha⁻¹; T 4 -75% NPK + vermicompost at 2.5 t ha⁻¹; T 5 -full INM (50% NPK + FYM 3 t ha⁻¹ + vermicompost 1.5 t ha⁻¹). Organic amendments were incorporated two weeks before planting. Composite soil samples (eight cores per plot, 0-15 cm) were sieved through 2 mm mesh and stored at 4 °C [9] . MBC was estimated by chloroform fumigation-extraction [10] . DHA was measured using 2, 3, 5triphenyltetrazolium chloride reduction. Alkaline phosphatase used p-nitrophenyl phosphate as substrate, and urease was determined by urea incubation. Soil respiration was measured as CO₂ trapped in alkali over 10 days. ANOVA was performed in SAS 9.4 with Tukey's HSD at p<0.05 [11] .
Field Experimental Design
Four blocks were arranged perpendicular to the slope gradient. Each block contained five plots with 2 m buffer strips between adjacent plots. Treatment assignments were re-randomized for the first three years and held fixed from year four onward. All cultural operations-irrigation, pest management, weed controlwere uniform across treatments. All five biological indicators responded significantly (p<0.05) to treatments after ten years (Table 1). Full INM recorded MBC of 289.7 µg g⁻¹, which was 95.3% higher than the control and 54.4% above NPK alone. DHA under full INM was 28.1 µg TPF g⁻¹ 24h⁻¹, more than double the control. All biological parameters were strongly correlated with each other; MBC and soil respiration showed the strongest association (r = 0.989, p<0.01). The temporal trajectory (Figure 2) reveals a threshold effect. Enzyme activities under INM diverged sharply from other treatments between years 5 and 7, with an accelerating trend afterward, while the control remained flat or declined slightly.
Results
Discussion
The pronounced response of soil biological indicators to INM aligns with findings from long-term experiments in other cropping systems. Singh et al. [4] reported a 78% increase in MBC after eight years of INM in rice-wheat, somewhat lower than the 95.3% observed here, likely because continuous cotton produces less below-ground biomass and relies more on external organic inputs for microbial sustenance. The strong MBCrespiration correlation (r = 0.989) confirms earlier observations by Kaur et al. [6] that microbial pool size drives overall soil metabolic capacity. The threshold effect between years 5 and 7 has practical implications. Organic matter from FYM and vermicompost appears to need several years to reach a steady state, during which microbial communities gradually shift toward species producing higher levels of extracellular enzymes [7] . Farmers adopting INM shouldn't expect immediate biological benefits but can anticipate accelerating returns over time. The DHA values under full INM (28.1 µg TPF g⁻¹ 24h⁻¹) exceed those reported by Mandal et al. [12] for cotton in semi-arid India, possibly because Michigan's cooler, wetter climate supports higher microbial turnover.
Conclusion
Ten years of full INM in continuous cotton at Michigan State University raised MBC by 95.3%, DHA by 126.6%, and alkaline phosphatase by 89.5% compared to the unfertilized control. Temporal analysis showed a threshold around year five, after which enzyme activities accelerated sharply under INM. Partial substitution of NPK with FYM or vermicompost also improved biological indicators compared to NPK alone, though the combined full INM strategy was clearly superior. These findings support recommending INM as a viable long-term approach for maintaining soil biological health in cotton monoculture systems.
References
- Rochester IJ. Using legumes in cotton cropping systems. Field Crops Res. 2011; 121(3):265-272.
- Bronick CJ, Lal R. Soil structure and management: a review. Geoderma. 2005; 124(1-2):3-22.
- Bastida F, Zsolnay A, Hernandez T, Garcia C. Past, present and future of soil quality indices: a biological perspective. Geoderma. 2008; 147(3-4):159-171.
- Singh G, Jalota SK, Singh Y. Manuring and residue management effects on physical properties of a soil under rice-wheat. Soil Tillage Res. 2007; 94(1):229-238.
- Gopinath KA, Saha S, Mina BL, Pande H, Kundu S, Gupta HS. Influence of organic amendments on growth, yield and quality of wheat. Nutr Cycl Agroecosyst. 2008; 82(1):5160.
- Kaur T, Brar BS, Dhillon NS. Soil organic matter dynamics as affected by long-term use of organic and inorganic fertilizers under maize-wheat. Nutr Cycl Agroecosyst. 2008; 81(1):59-69.
- Manna MC, Swarup A, Wanjari RH, Ravankar HN, Mishra B, Saha MN, et al. Long-term effect of fertilizer and manure on soil organic carbon storage and yield sustainability. Field Crops Res. 2005; 93(2-3):264-280.
- Arancon NQ, Edwards CA, Bierman P, Welch C, Metzger JD. Influences of vermicomposts on field strawberries: effects on growth and yields. Bioresour Technol. 2004;93(2):145-153.
- Carter MR, Gregorich EG, editors. Soil sampling and methods of analysis. 2nd ed. Boca Raton: CRC Press; 2008.
- Vance ED, Brookes PC, Jenkinson DS. An extraction method for measuring soil microbial biomass C. Soil Biol Biochem. 1987;19(6):703-707.
- SAS Institute Inc. SAS/STAT user's guide, version 9.4. Cary (NC): SAS Institute Inc.; 2013.
- Mandal A, Patra AK, Singh D, Swarup A, Masto RE. Effect of long-term application of manure and fertilizer on biological and biochemical activities in soil. Bioresour Technol. 2007;98(18):3585-3592.
- Tabatabai MA. Soil enzymes. In: Weaver RW, editor. Methods of soil analysis. Part 2. Madison (WI): SSSA; 1994. p. 775-833.
- Jenkinson DS, Ladd JN. Microbial biomass in soil: measurement and turnover. In: Paul EA, Ladd JN, editors. Soil biochemistry. Vol. 5. New York: Marcel Dekker; 1981. p. 415-471.
- Diacono M, Montemurro F. Long-term effects of organic amendments on soil fertility: a review. Agron Sustain Dev. 2010;30(2):401-422.
- Nannipieri P, Ascher J, Ceccherini MT, Landi L, Pietramellara G, Renella G. Microbial diversity and soil functions. Eur J Soil Sci. 2003;54(4):655-670.
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