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a Dep. de Zootecnia/UFRPE, Av. Dom Manoel de Medeiros, S/N, Dois Irmãos, 52171-900, Recife-PE, Brazil
b Agronomy Dep., University of Florida, Gainesville, FL 32611-0300
c Soil and Crop Science Department, Texas A&M University, Overton, TX 75684
d Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0306
* Corresponding author (lesollenberger{at}ifas.ufl.edu)
| ABSTRACT |
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Abbreviations: ADF, acid detergent fiber ADIN, acid detergent insoluble N AU, animal units DM, dry matter k, relative decomposition rate NDF, neutral detergent fiber OM, organic matter SE, standard error SR, stocking rate
| INTRODUCTION |
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Nitrogen fertilization and stocking rate may affect not only the amount of litter produced (Dubeux et al., 2006) but also its decomposition rates (Beare et al., 2005). Greater litter quality, because of higher nutrient uptake and greater availability of soil nutrients in fertilized systems, may increase litter turnover resulting in greater nutrient supply to the pasture (Lupwayi and Haque, 1999). Stocking rate may also affect litter decomposition rates by altering soil nutrient availability (Thomas, 1992) and by modifying sward structure that creates a different microclimate (Hirata et al., 1991). Therefore, management practices affect nutrient dynamics in pasture ecosystems, but little attention has been given to this topic in grazing trials (Mathews et al., 1994). Greater understanding of these processes is needed to address the problems of pasture degradation in extensively managed systems and of excessive nutrient loss to the environment in intensively managed systems. The objective of this study was to evaluate the effect of pasture management intensity, defined in terms of N fertilization and SR, on above-ground plant litter decomposition and mineralization.
| MATERIALS AND METHODS |
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Treatments and Design
Treatments were imposed during 2001, 2002, and 2003, but litter responses were measured only during 2002 and 2003. Treatments were three management intensities, defined in terms of combinations of stocking rate and N fertilization. The management intensities were Low (40 kg N ha1 yr1 and 1.2 AU ha1 target SR), Moderate (120 kg N ha1 yr1 and 2.4 AU ha1 target SR), and High (360 kg N ha1 yr1 and 3.6 AU ha1 target SR). Because initial heifer liveweight was greater than anticipated, actual SR were 1.4, 2.8, and 4.1 AU ha1 in 2002, and 1.3, 2.6, and 4.0 AU ha1 in 2003 for Low, Moderate, and High management intensities, respectively. A randomized complete block design was used and each treatment was replicated twice. Rationale for treatment selection, description of animal management, pasture fertilization, and facilities were reported by Dubeux et al. (2006).
Litter Decomposition and Nutrient Disappearance
Litter decomposition and nutrient disappearance were estimated by a litter bag technique. For the purposes of these measurements, litter was defined as the senescent leaves still attached to the plant. The reason for this approach was to avoid collecting litter on the ground that was already degraded to an unknown extent. The litter was obtained by cutting standing herbage from each of the six experimental units during May of each grazing season. Herbage from each experimental unit was kept separate from the others and was oven-dried (60°C for 72 h) but not ground so that surface area remained as similar as possible to the original litter. Green and senescent herbage was hand-separated thereafter, and the senescent fraction (6 g per bag) was placed into polyester bags with 75-µm mesh size and measuring 15 x 20 cm. The bags were heat-sealed and incubation times were 0, 4, 8, 16, 32, 64, and 128 d. Each incubation time, with the exception of Day 0, was replicated six times within each experimental unit, resulting in 36 bags per experimental unit. Empty bags were also incubated for the different periods to correct the bag weight after incubation.
Litter bags were placed on the ground in sets of six, one for each incubation time, and covered with existing litter from that experimental unit. The sites where bags were placed were chosen to represent the average herbage mass of the pasture, on the basis of disk settling height. Cages were placed over the sites where each set of six bags was located to protect them from grazing animals. Thus, a total of six cages per pasture were used for the litter bag experiment, one cage for each complete set of incubation times. Herbage inside the cage was clipped biweekly throughout the 128-d period to maintain the herbage height inside the cage as close as possible to the average canopy height of the pasture, and the clipped material was removed. The 128-d periods were from 22 July to 27 Nov. 2002 and 23 July to 28 Nov. 2003.
At the end of each incubation time, the six litter bags per pasture were collected, oven-dried (60°C for 72 h), and composited within an experimental unit. The composited samples were milled to pass a 1-mm screen and analyzed for dry matter (DM), organic matter (OM), C, N, P, neutral detergent fiber (NDF), ADF, lignin, and ADIN. Dry matter and OM analyses were performed by the procedure described by Moore and Mott (1974). Carbon, N, and ADIN analyses were done by dry combustion with a Carlo Erba NA-1500 C/N/S analyzer (Haak-Buchler Instruments, Saddlebrook, NJ). Phosphorus was determined by micro-Kjeldahl digestion and read in the auto-analyzer using a colorimetric procedure. The NDF, ADF, and lignin analyses were run in an ANKOM fiber analyzer (ANKOM Technology, 2003a, 2003b, 2003c). The percentage of remaining nutrient was calculated on the basis of the content of each nutrient before and after the incubation period.
Statistical Analyses
Nonlinear models were used to fit the decay curves by Proc NLIN from SAS (SAS Inst., 1996). Before choosing the model, each data set was plotted to observe the pattern of distribution. Decay curves usually followed the double or single exponential functions, and nutrient concentration data followed the two-stage model. The double exponential model was used first to explain the decay curves, and when it was not significant (P > 0.10), the single exponential decay model was used and fit the data well. This happened when nutrient immobilization occurred to a greater extent at the beginning of the incubation periods, as in the total N decay curve.
The double exponential model (Weider and Lang, 1982) was used for biomass decay and P loss curves, and it is described by Eq. [1]:
![]() | [1] |
= proportion of remaining biomass at time t, A = constant k1, and k2 = decay constants.
After solving the above equation, the output parameters (A, k1, and k2) of each experimental unit were used to calculate their respective k values using Eq. [2] (Weider and Lang, 1982):
![]() | [2] |
The time used to calculate k was 128 d, which corresponds to the total length of each incubation trial.
The single exponential model (Wagner and Wolf, 1999) was used for total N decay and C to N ratio, and it is described by Eq. [3]:
![]() | [3] |
= proportion of remaining biomass at time t, B0 = constant, k = decay constant. The two-stage model described by McCartor and Rouquette (1977) was used to fit nutrient concentration over time. Pearson correlation coefficients were calculated for all models applied, correlating the observed data with the predicted data from the models.
After fitting the appropriate model for each experimental unit within each grazing season, the output parameters were analyzed by Proc Mixed from SAS (SAS Inst., 1996) with year considered a fixed effect. Means were compared by the LSMEANS procedure of SAS.
| RESULTS AND DISCUSSION |
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The k value depends on litter quality, soil temperature, and soil moisture (Heal et al., 1997). This includes the proportion of the total C remaining in the litter, as k is greater at the beginning of the incubation period (Gijsman et al., 1997). In the current study, litter biomass loss over the 128-d incubation followed a double exponential model (Fig. 1 ), and although litter relative decomposition rates for DM varied among management intensities, the output parameters from the double exponential model were similar (P > 0.10). Loss was rapid at the beginning of the incubation; approximately 15% of the litter biomass was lost after only 8 d. The k value averaged 0.0148 g g1 d1 during the first 14 d vs. 0.0022 g g1 d1 over the entire 128 d of incubation. The faster rate of decay early in the period results from the decomposition of more soluble compounds, but the k value tends to stabilize, or decrease slowly, after the more soluble compounds are decomposed (Heal et al., 1997). Decay rate slowed after this initial period, and biomass loss after 128 d of incubation ranged from 40 to 60%. These values are similar to those reported by Deshmukh (1985) using the litter bag technique to estimate C4 grass litter decomposition in Kenya. Sollenberger et al. (2002) reviewed k in the literature and found values for different tropical grasses ranging from 0.0020 g g1 d1 in dictyoneura [Brachiaria dictyoneura (Fig. & De Not.) Stapf] (Thomas and Asakawa, 1993) to 0.0174 g g1 d1 in Aruana guineagrass (Panicum maximum Jacq.; Schunke, 1998). The k values for tropical legumes ranged from 0.0017 g g1 d1 in desmodium (Thomas and Asakawa, 1993) to 0.0603 g g1 d1 in Arachis repens Handro (Ferreira et al., 1997). Data from these trials were gathered in the summer rainy season; however, different incubation periods, different approaches to gathering litter, and varied environmental conditions contribute to large variability across experiments.
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As management intensity increased from Low to High, N immobilized increased from 49 to 83 kg N ha1 and N mineralized increased from 12 to 20 kg N ha1. This level of N mineralization supports the observation that in low N input C4 grass systems (e.g., the Low management intensity in this study), low litter quality plays a role in N immobilization and may contribute to pasture degradation (Fisher et al., 1994; Cantarutti, 1996). It also suggests a role of litter as a buffering pool (Wedin, 1996), potentially reducing N losses to the environment in highly fertilized pasture systems (e.g., the High management intensity in this study).
The immobilization potential of C4 grass litter has been observed in other studies. For example, in green panic (Panicum maximum Jacq. var. trichoglume) pastures, net N mineralization did not occur until 50 to 100 d after litter deposition. Even after a year, only 200 to 300 g kg1 of all litter N was released in the soil, primarily because of microbial immobilization (Robbins et al., 1989). In another study, during the first week of incubation of soil samples with herbage of creeping signalgrass [Brachiaria humidicola (Rendle) Schweick.], 600 to 800 g kg1 of all soil mineral N was immobilized in the microbial biomass, and 300 to 500 g kg1 remained immobilized after 150 d (Cantarutti, 1996). Concurrently, an increase of N in the microbial biomass of 12 to 36% was measured, indicating that a large proportion of soil mineral N was effectively immobilized.
Litter P Disappearance
Phosphorus decomposition was described by a double exponential decay model, and no management intensity or year differences were detected (Fig. 2B). After 128 d of incubation, approximately 600 g kg1 of net P mineralization had occurred. The average litter P concentration on Day 0 was 1.5 g kg1, and it decreased to 1.2 g kg1 by Day 128. Assuming the average rate of litter deposition (27 kg OM ha1 d1; Dubeux et al., 2006), the amount of P returned through this above-ground litter was approximately 5.7 kg ha1 during a 140-d period. If an average of 50% of this P was released, only 2.9 kg ha1 would be made available to the pasture from litter during this period. This may be an overestimation because of the shorter time period available for degradation of litter P deposited later in the grazing season. Therefore, the above-ground litter contribution to P supply of these pastures was very limited.
The potential for P immobilization, however, particularly by the below-ground litter is great. Gijsman et al. (1997) reported root C:P ratio up to 1780 in creeping signalgrass grown on an Oxisol, while microbial C:P ratio in these soils ranged from 34 to 50. When considering C:P ratio, values below 200:1 result in mineralization predominating, whereas above 300:1 immobilization is greatest (Dalal, 1979; McLaughlin and Alston, 1986; Novais and Smyth, 1999). Considering that the P concentration in the litter DM on Day 0 was 1.5 g kg1 and the C concentration was 430 g kg1, the average C:P ratio on Day 0 was 287, and increased with length of the incubation period.
Litter C-to-N Ratio
Litter C to N ratio decreased across the incubation period. The single exponential model fit this response, with differences between years but not among management intensities (Fig. 2C). Decreasing C to N ratio over time is expected because the more soluble C compounds decompose rapidly, but N immobilization by the low quality residue and the N bound to the fiber reduce N losses. Residue C to N ratio in 2002 at the start of the incubation period was greater than in 2003 (Fig. 2C) and explains the slower rate and lesser extent of N mineralization in 2002 (Fig. 2A). Final C to N ratios were less than 20 in 2003, thus, mineralization of that litter should occur. The high lignin concentration at the end of the period (Fig. 3B
), however, likely was controlling the decomposition rate. Although C to N ratio remains a critical variable in decomposition models, several studies have demonstrated important interactions with other factors including the form of the C in the plant cells as an energy source, the concentration of other nutrients, and the composition of various secondary plant compounds (Heal et al., 1997).
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Litter Lignin and Lignin:N Ratio
Ash-free lignin concentration also increased during incubation, and similar to ADIN, it increased to the greatest extent for the High management intensity (Fig. 3B). Lignin plays an important role in the decomposition process because of all naturally produced organic chemicals, lignin is probably the most recalcitrant (Hammel, 1997). Heal et al. (1997) reported that litter decomposition is mainly controlled by the rate of lignin decomposition, and that this rate, in turn, is increased by high cellulose concentration and decreased by a high N concentration. Keyser et al. (1978) demonstrated that the ligninolytic system of lignin-decomposer fungi is synthesized in response to N starvation. Therefore, the greater lignin concentration for High (vs. Moderate, P = 0.001; vs. Low, P = 0.003) was likely not only because of greater decomposition rates resulting in more rapid decomposition of soluble compounds leaving lignin behind, but also because of lower lignin decomposition rates resulting from more N available in High. Lignin concentration 64 d after incubation initiated was greater than 250 g kg1 in the High management intensity.
Lignin:N ratio also increased over the incubation period, but unlike ADIN and lignin concentrations, it was lowest for High (Fig. 3C). Lignin:N ratio is an indicator of residue decomposition rate, and is often negatively correlated with biomass loss (Thomas and Asakawa, 1993). Magid et al. (1997) suggested, however, that the lignin:N ratio is not a critical determinant of short- to medium-term decomposition rates, but it may be very important in governing long-term decay. Heal et al. (1997) pointed out that cereal and legume straws and litter from annual crops usually contain less than 100 to 150 g kg1 of lignin, and C-to-N ratios of 50 to 100 are reasonable predictors of decomposition rates because the higher ratios mainly reflect lower N concentration in tissues rather than changes in C form. When lignin is increasing over time, however, the lignin:N ratio may be a better indicator than C:N of C availability to microorganisms. Although lignin concentration was greater for the High management intensity, lignin:N ratio was lower (vs. Moderate, P = 0.107; vs. Low, P = 0.068), indicating a better quality litter resulting in faster relative decomposition rates for the litter at the High management intensity.
| CONCLUSIONS |
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| NOTES |
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Received for publication August 19, 2005.
| REFERENCES |
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