Home Effect of short-term grazing exclusion on herbage species composition, dry matter productivity, and chemical composition of subtropical grasslands
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Effect of short-term grazing exclusion on herbage species composition, dry matter productivity, and chemical composition of subtropical grasslands

  • Shanker Raj Barsila EMAIL logo , Mahendra Singh Dhami , Bijay Kumar Shrestha and Luma Nidhi Pandey
Published/Copyright: September 7, 2023

Abstract

Grazing exclusion (GE) is a useful management technique for restoring degraded grasslands. The herbage mass productivity and chemical makeup in the grazing-excluded subtropical grassland environment has, however, received little attention. A subtropical riverine grassland was selected to determine the effect of GE on herbage mass productivity and chemical composition in Nepal. In three successive harvesting times from September to November 2020, the herbage was sampled along the six randomly selected transects of 100 m length and at two treatments (GA: Grazing-allowed and GE: Grazing-excluded plots) at three different times of harvest from a 1,000-ha grassland. A total of 108 herbage cut samples were collected from the individual 1 m × 1 m quadrats at the three harvests, respectively, from the GA and GE plots. Fences were used to maintain the GE plots to avoid grazing to prevent the vegetation altered by grazing. Day before herbage sampling, the functional groups, cover-abundance within the sampling quadrats were investigated. By cutting the fresh herbage 5 cm above the ground and subjecting it to oven drying for laboratory examination, the herbage mass productivity within each quadrat was measured. Using established laboratory procedures, the chemical analysis of herbage was evaluated for its proximate, fibre, and mineral contents. The results of the study demonstrated that GE significantly increased grass species than other-forbs, other-graminoids, and legumes, respectively, and increased dry matter productivity, which could be seen by an increase in leaf stem ratio, tiller productivity, increased coarseness (fibrous content), total ash, calcium (Ca), and phosphorus (P), but with a decreased nonstructural carbohydrate, and the concentrations of ether extract and crude protein. Research results also confirmed that GE increases herbages’ fibrousness and productivity, though the herbage quality, intake, and digestibility decline. It further demonstrates that grazing is a crucial biological component for maintaining pasture quality in subtropical grasslands and that managing grasslands through livestock grazing would make grasslands more stable and nutrient-enriched. The findings of this study can be useful in the long-term monitoring of grazing livestock in the subtropical grasslands when considering further investigations with the multiple factors in future.

1 Introduction

The grassland ecosystem is one of the global vulnerable ecosystems and has been threatened due to anthropogenic disturbances such as grazing. Grazing has a negative effect on dry matter (DM) production and its dynamics [1] i.e. on the vegetation structure, species composition, and richness of grassland communities [2]. Grazing affects species composition not only by selective behaviour but also because of plants’ differential response [3] and thus decreases foliar biomass at the expense of increasing livestock stocking rate [4]. Overgrazing has a profound effect on important ecosystem characteristics such as species richness and diversity [5] and ecosystem stability [6]. The herbage defoliated by grazing or cutting produces higher nutritional quality [7] but the total DM accumulated leads to a decreased leaf/stem ratio (LSR) and herbage mass [8].

Grazing pressure in Nepal’s subtropical grasslands is quite significant [9]. The floristic makeup of the grasslands is also influenced by the seasonality of grazing and grazing species. The management of the grassland and its declining condition has become a challenge. Long-term grazing exclusion (GE) may cause the species richness to drop or slightly change [10], because different species’ ecological niches complement and differ from one another [11]. One of the most successful strategies for the regeneration of damaged grasslands is GE [12]. It has been discovered that grazing management also influences pasture growth [13]. In this study, the evaluation of the impact of GE on subtropical riverine grasslands in Nepal was the main objective. The specific objectives of this study were to: (a) determine the cover-abundance of the herbages in GA and GE sites of subtropical grasslands at various harvest times; (b) determine the herbage mass productivity; and (c) determine the chemical composition of the herbages in grazed and GE sites at different harvest times (Figure 1).

Figure 1 
               Map showing the study grasslands of Riu river basin at Madi, Chitwan of Nepal.
Figure 1

Map showing the study grasslands of Riu river basin at Madi, Chitwan of Nepal.

2 Materials and methods

2.1 Study site

The experiment took place in a riverine grassland of approximately 1,000 ha at Madi (27°50′N, 84°28′E), which is next to Chitwan National Park and is situated on the bank of the Riu River, 25 km south of Bharatpur Municipality in Chitwan, Nepal. The experimental site was 228 m above sea level. For the past 30 years (1989–2018), the average annual temperature was 25°C, and the average annual precipitation was 1,051 mm, with most of the precipitation during the monsoon season (June to August). During the research year, the study site’s average annual temperature was 25.14°C, and there was 1,200 mm of total annual rainfall (Figure 2). The average organic matter content (1.262%), pH (5.2), total nitrogen content by Kjeldahl method (0.051 g kg−1), and available phosphorus content (Bray and Kurz P method, 34.81 mg kg−1) of the soil were all examined. The three main grazing animal species were buffaloes, cattle, and goats, and adjacent residents grazed livestock freely. The silts, sands, and clays deposited by river floods and inundation were used to form the experimental grassland.

Figure 2 
                  Maximum, minimum, and average temperature patterns and monthly precipitation for the study area in Madi Chitwan, Nepal.
Figure 2

Maximum, minimum, and average temperature patterns and monthly precipitation for the study area in Madi Chitwan, Nepal.

2.2 Sampling design and quadrat allocation

In the grassland, six line transects, each measuring 100 m, were randomly placed every 150 m apart. To preserve the vegetation impacted by grazing and trampling, three 1 m × 1 m quadrats each were randomly marked within each transect and fenced in May 2020 (GE plots). Additionally, following grazing, the GA plots were placed at random 20 m apart from each fenced plot. Samples of the herbage were obtained at regular intervals from the three successive harvests (15th September to 15th November). There were 108 sampling quadrats employed in total (54 GE and 54 GA, respectively).

2.3 Cover-abundance of the herbages

Prior to cutting or herbage sampling, the dominance of herbage species and botanical coverage were assessed in all sampling plots. The botanical composition i.e. grasses, forbs, legumes, graminoids, and bare soil were recorded over the grassland to determine the herbage dominance [14], and the coverage of each of the species present within the sampling quadrats (1 m × 1 m) was recorded following the Braun-Blanquet cover-abundance method [15].

2.4 Herbage sampling

The herbage samples were taken from the GA and GE plots using a random sampling procedure. Each sampling unit had three consecutive harvestings at monthly intervals. To simulate the overall removal of foliage by grazing livestock, foliage within a quadrat of 1 m × 1 m was cut 5 cm above the ground. At the same time, 18 additional samples were collected from GA plots, where livestock species were allowed to graze freely during the day. The dead matter (litter) was avoided for reducing the bulkiness of the herbage samples during transport. Before the lab analysis began, the gathered samples were packaged and labelled for respective treatments and harvest dates.

The tiller number per square meter in grasses was determined by counting every tiller per plant from each quadrat [16], recorded for each harvest. After oven-drying (60°C for 48 h) samples in the Animal Nutrition Laboratory of the Agriculture and Forestry University, Nepal, the dried samples were then manually separated into leaf and stem portions and weighed to determine the LSR [17].

2.5 Laboratory analysis

The laboratory analysis was carried out in accordance with the recommendations for determining proximate composition [18]. In the Animal Nutrition Laboratory of the Nepal Agriculture Research Council, Lalitpur, Nepal, total ash (TA), ether extract (EE), and crude protein (CP), as well as fibre content and mineral composition (Ca and P), were analysed.

Following the established procedure, the neutral detergent fibre (NDF), acid detergent fibre (ADF), and acid detergent lignin (ADL) were measured [19]. Additionally, components such as the non-structural carbohydrate (NSC) = 100 – (CP + NDF + EE + Ash), hemicellulose (HCEL) = NDF-ADF, cellulose (CEL) = ADF-ADL, and total solubles (TS = 100-NDF) were estimated [20]. Later, the percentage of body weight of cattle-based DM digestibility% (DMD% = 88.9 – 0.779 × ADF) and DM intake% (DMI = 120/NDF) were also computed [21].

The atomic absorption spectrophotometer’s (Chromtech®, USA) accepted procedure was used to analyse the herbage’s calcium and phosphorus content.

2.6 Statistical analysis

R Statistics (version 4.2.3) was used to analyse the data.

A 2 × 3 factorial analysis of variance model was used to analyse the effects of two treatments (GA and GE) and time of harvest (harvested at three different dates) on the parameters, which is given as follows:

Y i j k = µ + σ i + β j + ( ρ β ) i j + i j k ,

where µ is the constant factor, σ i is the effect of ith level of treatment, β j is the effect of jth level of time of harvest, ρβ is the interaction effect of treatments and time of harvests, and ijk is the random error.

Although results and figures are given with untransformed values, all variables were subjected to normality tests for parameters except those presented in Table 1. Duncan’s multiple range test was used to compare the mean differences set at a 5% level of significance.

Table 1

Abundant herbage species over three harvesting times in GA and GE plots in a subtropical grassland of the Riu river basin at Madi, Chitwan, Nepal

Season Herbage cover GA Herbage cover GE
Abundant herbage species Abundant Herbage Species
Species Family Growth stages Species Family Growth stages
Harvest 1 (September) n = 36 sampling plots
45–55 Saccharum spontaneum Poaceae Vegetative 50–70 Saccharum spontaneum Poaceae Vegetative
27–45 Imperata cylindrica Poaceae Vegetative 35–50 Imperata cylindrica Poaceae Vegetative
28–41 Saccharum bengalense Poaceae Vegetative 25–36 Saccharum bengalense Poaceae Vegetative
20–32 Cynodon dactylon Poaceae Vegetative 30–42 Ageratum conyzoides Asteraceae Vegetative
22–30 Cyperus rotundus Cyperaceae Vegetative 25–32 Cynodon dactylon Poaceae Vegetative
15–25 Ageratum conyzoides Asteraceae Vegetative 13–18 Cyperus rotundus Cyperaceae Vegetative
Harvest 2 (October) n = 36 sampling plots
40–50 Saccharum spontaneum Poaceae Flowering 45–60 Saccharum spontaneum Poaceae Flowering
30–40 Cyperus rotundus Cyperaceae Flowering 32–44 Imperata cylindrica Poaceae Flowering
24–35 Imperata cylindrica Poaceae Flowering 30–36 Saccharum bengalense Poaceae Flowering
22–32 Ageratum conyzoides Asteraceae Flowering 25–40 Cynodon dactylon Poaceae Flowering
20–32 Saccharum bengalense Poaceae Flowering 22–33 Ageratum conyzoides Asteraceae Flowering
14–18 Cynodon dactylon Poaceae Flowering 14–16 Cyperus rotundus Cyperaceae Flowering
Harvest 3 (November) n = 36 sampling plots
35–45 Saccharum spontaneum Poaceae Fruiting 40–44 Saccharum spontaneum Poaceae Fruiting
35–40 Cyperus rotundus Cyperaceae Fruiting 27–38 Imperata cylindrica Poaceae Fruiting
25–38 Ageratum conyzoides Asteraceae Fruiting 25–32 Saccharum bengalense Poaceae Fruiting
22–30 Imperata cylindrica Poaceae Fruiting 20–30 Ageratum conyzoides Asteraceae Fruiting
20–28 Saccharum bengalense Poaceae Fruiting 28–42 Cynodon dactylon Poaceae Fruiting
13–15 Cynodon dactylon Poaceae Fruiting 13–16 Cyperus rotundus Cyperaceae Fruiting

Only the top six most abundant species are listed in the table. Herbage cover is expressed in percentage. GA – grazing allowed, GE – grazing excluded plots as treatments (T). The total number of samples was 108.

3 Results and discussion

3.1 Abundant herbage species

The top six most dominant herbage species in the experiment are shown in detail in Table 1. At all the treatments and time of harvest, Saccharum spontaneum remained the most dominating species (Table 1). However, during the subsequent harvests in the GA plots, the grass species were found to be in a decreasing trend (Table 1).

The dominance of S. spontaneum as compared to other species would be due to its tall stature and invasiveness and being with more regeneration capacity than the other species when they are mixed in grassland and, thus, it may dominate over other small understorey grasses [22] being an aggressive and allelopathic species in nature [23]. It has been reported that the S. spontaneum has a faster adaptation habit in unfertile, degraded, and poorly drained soil conditions too [24,25].

3.2 Herbage mass productivity and herbage composition

The DM and tiller productivity, LSR, the calculated intake, digestibility and feed quality (relative feed quality), and the botanical groups were significantly affected by the treatments and time of harvests (Table 2), respectively, and their interaction (T × H).

Table 2

Herbage DM productivity, calculated feed value details, and contribution of botanical composition to DM accumulation at GA and GE plots of subtropical grassland at the Riu river basin of Madi, Chitwan, Nepal

Parameters GA GE SEM p-value
First harvest Second harvest Third harvest First harvest Second harvest Third harvest Treatment (T) Harvesting time (H) T × H
DM Productivity (t ha−1) 35.00b 18.50d 15.50f 38.00a 20.00c 16.87e 0.13 <0.001 <0.001 0.030
Leaf: stem ratio 1.26d 1.60c 1.88b 1.27d 1.62c 2.15a 0.01 <0.001 <0.001 <0.001
Number of tillers, m−2 718b 697d 671e 744.5a 710c 690d 8.75 <0.001 <0.001 0.040
DMD, % 45.28d 48.09bc 51.12a 41.54e 46.93c 48.66b 0.42 <0.001 <0.001 0.008
DMI, % BW 1.73e 1.78bc 1.81a 1.69e 1.75 cd 1.81a 0.01 <0.01 <0.001 <0.010
Relative feed value (RFV), % 60.57d 66.45b 72.86a 54.35e 63.82c 68.25b 1.05 <0.001 <0.001 0.012
Botanical group composition
Grasses, % 63.50c 54.50d 46.00e 73.50a 67.50b 63.00c 1.67 <0.001 <0.001 0.003
δOther-graminoids, % 10.00c 15.50b 22.00a 5.00e 7.00d 10.00c 0.08 <0.001 <0.001 <0.001
Legumes, % 3.00c 2.00d 1.00e 5.00a 4.00b 3.00c 0.001 <0.001 <0.001 <0.010
ωOther-forbs, % 15.50a 13.00b 11.00c 10.50c 9.50 cd 8.00d 0.58 <0.001 0.002 0.024
Barren, % 8.00e 15.00c 20.00a 6.00 f 12.00d 16.00b 0.001 <0.001 <0.001 <0.001

SEM – standard error of the mean, S – site, H – harvesting time, DM – dry matter, BW – body weight of cattle. Different superscripts within the same column indicated a significant difference at p < 0.05 level of significance. The first herbage harvested on 15th September, the second on 15th October, and the third on 15th November 2020. Dead matter % not shown in table. GA – grazing allowed, GE – grazing excluded plots as treatments (T). δOther-graminoids – grass-like plants of Cyperaceae family. ωOther-forbs – broad-leaved plants other than Leguminosae family.

The GE plots always had the highest DM and tiller productivity across all harvests. However, the calculated intake and herbage digestibility were found to be highest at the GA plots in the third harvest, respectively. Repeated reports relating to GE experiments [26,27] had concluded that the higher herbage productivity in GE grasslands is often associated with the lower defoliation rate of herbage that allows higher biomass allocation. When grazing is allowed, the palatable species are often heavily defoliated by the grazing livestock or it might also be due to less or no grazing pressure as the mechanism for increased biomass after GE [28,29]. Another mechanism further suggests that GE allows the continuous increment in plant height and coverage of abundant species leading to improvement in the moisture-holding capacity of the soil and thus in return promotes plant growth [28,29,30]. The prevention of soil compaction due to trampling could also allow better growth and development of roots that in turn would allow for higher biomass productivity [30,31]. In the present study, the DM productivity was found to be highest in the first harvest than in the third harvest, which might be caused by the lower regrowth at the advancing stage of maturity [32]. It has been pointed out that the more frequent and severe the clipping, the more DM is depressed [33]. Reduction of DM yields by increased frequency and intensity of harvesting [34,35] had shown that frequent defoliation leads to a greater LSR, which was not shown in the grazed plots in the present study. The present findings are similar to the findings where LSR was also found to be higher in the un-grazed pasture land and lower yield from grazed land [17]. The higher leaf proportions in the stem might divulge due to the selection of the leaf portion of herbage than the stem by the animal, which ultimately lowers the leaf portion of the plant at the end. But, consecutive harvesting of herbage imparts a higher LSR as can be seen in third harvest compared to the first harvest of the current study. This might be due to the higher regrowth potential of the leaf than the stem [32,17]. The higher tiller number in the GE plots might be associated with the less demolition of tillers due to grazing and trampling. Correspondingly, the tiller number per square meter was found to be higher in the first harvest in contrast to the third harvest which might be due to the higher mortality of tiller in the later age of growth which could be due to other factors such as the insect kill, early winter senescence, and wildlife attack [36]. This might be because herbage had repeated defoliation which reduced the nutrient reserve and decreased the survival of the tiller. Livestock in the GA site of grassland grazed herbage, so tillers were damaged by trampling. If the tiller is repeatedly defoliated, support from physiologically integrated neighbouring tillers is cut off [37].

3.3 DM productivity and herbage botanical groups

The average vegetation coverage was recorded at about 94% in the GE and 92% in the GA site at the first harvest (data not shown in Table 1). The herbage cover was reduced continuously during the second and third harvests and finally recorded 84% in the GE plots and 80% in the GA plots at the third harvest (data not shown in Table 1). The interactive effect of treatments (T) and time of harvest (H) had a significant effect on the botanical composition of the herbages (Table 2). All the plant growth characteristics could not have been mentioned in the present study. For example, A. conyzoides might not be preferred by livestock during grazing due to its toxin content or some of them might have grown later than grasses e.g., C. rotundus might have been abundant at later harvests in the present study.

Under the GE condition, on average, 73.5, 67.5, and 63.0% of grasses were recorded in the first, second, and third harvests, respectively. Under the GA sites, on average, 63.5, 54.5, and 46.0% of grasses were recorded in the first, second, and third harvests, respectively. The coverage of other-forbs was about 16.0, 13.0, and 11.0% at first, second, and third harvests of the GA site and about 11.0, 10.0, and 8.0% at first, second, and third harvests of the GE sites, respectively. On average, legumes were the minor species. The abundance of other-graminoids was increased at the later stage of harvest in both treatments, which would have probably been due to its comparatively less aggressive growth habit than that of grass species. The details of the herbage cover and their abundance are presented in Table 2.

Grazing reduces the vigour capacity and reproduction ability of plant, so the grass coverage was decreased within the GA area [38]. There was a higher density of grasses and broadleaf forbs within the protected area than in open areas [39], and this statement is supportive of the present research findings well. Grazing causes a reduction in the proportion of grass species [40] and a similar trend was observed in the present study. It is usual that the continuous trampling of graziers on grassland decreased the green grass cover at the end of a grazing period [41] due to the cessation of certain herbaceous species growth but increased the content of broadleaf herbs and this statement supported the current study. The other-forbs were higher in the grazed condition as compared to the non-grazed condition because of their grazing tolerant habit [42]. The total other-graminoids in the grazed area were more dominant than in the un-grazed area and the amount increased extremely in the grazed area at the final harvest than in the first harvest. It might be because the other-graminoids are less preferable to livestock than grasses and have more grazing resistance [43]. It would also be likely that the other-graminoids might not tolerate the shade of the grass canopies at earlier stage.

3.4 Fibre composition of herbage in grassland

The overall interactive effect of treatment and harvesting time (T × H) remained significant to NDF, ADF, TS, and NSC content. However, there was no effect of the fixed factors on CEL but only the harvesting time was found significant to HCEL content (Table 3).

Table 3

Fibrous components and total cell soluble composition of herbages in GA and GE plots of subtropical grassland of the Riu river basin of Madi, Chitwan, Nepal

Parameters GA GE SEM p-value
First harvest Second harvest Third harvest First harvest Second harvest Third harvest Treatment (T) Harvesting time (H) T × H
NDF 69.53b 67.33cd 65.26e 71.09a 68.40bc 66.33de 0.34 0.011 <0.001 0.020
ADF 56.00b 52.38cd 48.50d 60.8a 53.08c 51.65d 0.69 <0.001 <0.001 0.018
ADL 25.64b 21.01cd 18.95e 29.96a 22.04c 20.02de 0.29 <0.001 <0.001 0.009
HCEL 13.53 14.95 16.76 10.29 15.32 14.68 0.97 0.247 0.030 0.113
CEL 30.35 31.37 29.55 30.83 31.84 31.44 1.08 0.166 0.317 0.570
TS 30.46d 32.67ab 33.67a 28.91e 31.59cd 33.66ab 0.34 0.011 <0.001 0.018
NSC 16.32de 18.23bc 19.9a 15.1e 17.16cd 19.06ab 0.36 0.023 <0.001 0.019

SEM – standard error of the mean, S – site, H – harvesting time, NDF – neutral detergent fibre, ADF – acid detergent fibre, ADL – acid detergent lignin, HCEL – hemi-cellulose, CEL – cellulose, TS – total cell soluble, NSC – non-structural carbohydrates. Different superscripts within the same column indicated a significant difference at p < 0.05 level of significance. All values expressed on a percentage DM basis. The first herbage harvested on 15th September, the second on 15th October, and the third on 15th November 2020. Dead matter % not shown in the table. GA – grazing allowed, GE – grazing excluded plots as treatments (T).

The highest content of NDF (about 71.0%), ADF (about 61.0%), and ADL (30.0%) were found on the first date of harvest at the GE sites. The fibre content was found to be higher in the GE plots rather than GA plots and more on the first date of harvest than in subsequent harvests due to the growth of forbs and graminoids. Such trend of the fibre composition had also been reported [44] that explained that the herbage canopies clipped at short intervals reduced the NDF content but those clipped at longer intervals increased the NDF content due to the progression of the growing season which induced more fibre content, and this confirms the findings of the present study. It is likely that herbage nutritive value (NDF, ADF, and ADL) reduces as the vegetative period progressed [45], due to the advancing maturity of the herbage harvested [46].

Higher NSC content of herbage was found at the GA plots at the same harvest date rather than that in the GE sites, and the NSC content was found in increasing trend at the subsequent date of harvests towards maturity (Table 3).

The prevailing climatic condition might have also influenced the cell contents in herbage. For example, rainfall and temperature were found to be higher during the first harvest rather than in subsequent harvests, so that promoted herbage growth and NSC content [47]. It is likely that the NSC content might be higher during the late vegetative phase to mitigate the energy required to produce the inflorescence. The accumulation of NSC in the herbage occurs in general when carbohydrate production from photosynthesis is greater than the amount required for herbage growth and development [48]. For instance, the photosynthesis capacity of the plant is higher during the active growth stage, and re-growth of herbage has more NSC content. The NSC content remained the highest during the third harvest (November), which is the starting phase of the inflorescence, and the NSC content would be higher towards the cool season than the warm season in grass and legumes because the plants do not produce fructans, so use starch as majorly reserve carbohydrate [49]. The NSC content was reduced under a high rainfall duration that promotes grass growth through the utilization of reserve carbohydrates [50].

3.5 Proximate and mineral composition of herbage in grassland

The treatments (T) and time of harvest (H) and their interaction had an effect on the CP, EE, TA, calcium, and phosphorus content of the herbage (Table 4).

Table 4

Proximate and mineral composition of herbage in GA and GE plots of subtropical grasslands at the Riu river basin of Madi, Chitwan, Nepal

Parameters GA GE SEM p-value
Fist harvest Second harvest Third harvest First harvest Second harvest Third harvest Treatment (T) Harvesting time (H) T × H
CP 6.39bc 6.73b 7.43a 6.1c 6.53bc 6.95ab 0.05 0.048 0.003 0.037
EE 2.3c 2.75b 3.05a 2.1d 2.65b 2.85b 0.01 0.013 <0.001 0.029
TA 5.45ab 4.95cd 4.35e 5.6a 5.25bc 4.8d 0.02 0.007 <0.001 0.033
Ca 0.40d 0.46c 0.48c 0.42d 0.53b 0.61a 0.0001 <0.001 <0.001 0.003
P 0.03c 0.06bc 0.07bc 0.05bc 0.16b 0.34a 0.002 0.005 0.001 0.019

SEM – standard error of the mean, S – site, H – harvesting time, CP – crude protein, EE – ether extract, TA – total ash, Ca – calcium, P – phosphorus. The first herbage harvested on 15th September, the second on 15th October, and the third harvest on 15th November 2020. Different superscripts within the same column indicated a significant difference at p < 0.05 level of significance. All values expressed on percentage DM basis. GA – grazing allowed, GE – grazing excluded plots as treatments (T).

The proximate fractions i.e. CP, EE, and TA, and the Ca and P content were influenced by both the treatments (T) and time of harvests. The interactive effects were significant only to the Ca and Mg content. At GA plots, CP and EE remained the highest during third harvest. The CP content remained the lowest at the first harvest and in the GE plots (Table 4). The TA content also remained the highest at the first harvest and the least in the third harvest at both treatments.

The higher content of CP and EE had been found in the GA plots rather than in the GE plots, which might be due to the influence of grazing on the herbage’s nutritive value because of the removal of young and protein-rich tissues and the need of the plant to replace the older senescent parts of herbage [51]. Furthermore, grazing could raise the nitrogen availability in the soil through the deposition of animal excreta and increase the rate of N-mineralization in soil, which in turn would have enhanced the CP content in the herbage [52]. The CP and EE contents were found to be lower at the first harvest date and higher at the third harvest, which might be because the concentration increases in the re-growth of new tissues after defoliation by grazing, which further results in a delayed herbage maturation and tissue lignification [53].

The higher TA concentration at an earlier stage of harvest might be associated with the plant maturity [54]. However, it is not well understood from the present study that the herbage had a higher Ca and P content at the later stage of harvest in the GE plots [55]. However, it could be speculated that the tiny numbers of legumes in the un-grazed plots might have incorporated the mineral content. The higher LSR might have further contributed to higher Ca and P content, which might even be possible at the later stage of growth [56]. It is speculated that the herbage with increasing presence of grass and with the reduced proportions of legumes at later harvest in grazed plots might have lowered phosphorus and calcium concentration [57]. The processes affecting soil properties during floods and inundation, dung deposition, and the decomposition of herbage residues, among others, may well represent the cause of the Ca and P content of the harvested herbage, even though not measured in the present investigation.

However, the present study was confined with a small-scale herbage sampling and reports the first insight of the series of experiments intended in the same grasslands in multiple years. The investigation of other edaphic aspects, such as stocking rate and animal species effects, along with data on other anthropogenic incidences like flooding, dung deposition, and burning, would provide long-term support the findings of the experiment.

The majority of the parameters in the current study (Tables 24) showed a significant interactive effect of the treatments (T) and time of harvest (H), indicating that the fixed factors and their inter-relationships in the subtropical grasslands could have an impact on the productivity and quality components of the herbage. There are a number of additional aspects to be taken into account, for example, the plant’s growth and development stage (plant phenological stage), soil properties, the external environment (such as temperature and precipitation), the abundance of the herbage species, and so forth, in order to decide the suitable time for harvesting or grazing by defoliation.

4 Conclusions

Research results demonstrated that GE augmented the abundance of the perennial grass species but diminished forbs and graminoids, respectively. Herbage mass productivity was found to be higher in GE sites overall, however, with accumulated fibrous residues towards maturity. In contrast, the cell contents were higher in GA plots due to the regrowth of herbage defoliation by grazing. From these findings, it could be concluded that grassland management by light grazing could help to revitalize the herbage with more nutritious contents and maintains the stable grassland than GE. Investigations using a larger sample size and taking into account a variety of anthropogenic and edaphic factors, the livestock species present, and the stocking rates may help to confirm the findings in future studies.

Acknowledgments

The authors are grateful to Basant Shrestha and Buddhi Sagar Pokhrel as senior laboratory assistants who have provided support for this study.

  1. Funding information: The project was funded by the University Grants Commission Nepal (Collaborative Research Grant, No.: CRG-073/074 Ag &F-02) for 2018–2021.

  2. Conflict of interest: The authors state no conflict of interest.

  3. Data availability statement: The data sets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Received: 2023-05-12
Revised: 2023-08-20
Accepted: 2023-08-21
Published Online: 2023-09-07

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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