Next Article in Journal
The Effect of Different Extenders on the Quality Characteristics of European Red Deer Epididymal Sperm Stored at 5 °C
Previous Article in Journal
The Effect of Premedication on the Incidence of Gastroesophageal Reflux in 270 Dogs Undergoing General Anesthesia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Exploring the Nutritional Potential of Wild Grass Fodder for Mega Herbivore (Elephas maximus) in the Foothills of Western Ghats

by
Mohan Packialakshmi
1,*,
Muthusamy Palani Divya
1,
Krishnamoorthy Baranidharan
2,
Seshadri Geetha
3,
Kalipatty Nalliappan Ganesan
4,
Manickam Vijayabhama
5,
Srinivasan Manivasakan
1,
Palanivel Hemalatha
6,
Palaniswamy Radha
7,
Meenakshisundaram Tilak
6,
Venugopal Priyanka
8,
Settu Krishnamoorthi
1,
Balasubramaniam Vinothini
8,
Jayesh Yuvraj Zende
9 and
Nikhil Balu Rajput
6
1
Department of Forest Products and Wildlife, Forest College and Research Institute, Tamil Nadu Agricultural University, Mettupalayam, Coimbatore 641301, Tamil Nadu, India
2
Dry Land Agricultural Research Station, Tamil Nadu Agricultural University, Chettinad, Sivagangai 630102, Tamil Nadu, India
3
Department of Pulses, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India
4
Department of Forage Crops, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India
5
Department of Basics and Social Science, Forest College and Research Institute, Tamil Nadu Agricultural University Mettupalayam, Coimbatore 641301, Tamil Nadu, India
6
Department of Agroforestry, Forest College and Research Institute, Tamil Nadu Agricultural University, Mettupalayam, Coimbatore 641301, Tamil Nadu, India
7
Department of Forest Biology and Tree Improvement, Forest College and Research Institute, Tamil Nadu Agricultural University, Mettupalayam, Coimbatore 641301, Tamil Nadu, India
8
Forest College and Research Institute, Tamil Nadu Agricultural University, Mettupalayam, Coimbatore 641301, Tamil Nadu, India
9
Department of Wildlife Sciences, College of Forestry, Vellanikara, Kerala Agricultural University, Thrissur 680656, Kerala, India
*
Author to whom correspondence should be addressed.
Animals 2022, 12(19), 2668; https://doi.org/10.3390/ani12192668
Submission received: 14 July 2022 / Revised: 17 September 2022 / Accepted: 22 September 2022 / Published: 4 October 2022

Abstract

:

Simple Summary

The aim of the study is to improve elephant habitats by restoring them with wild grass fodder. Based on the feeding behaviour and food spectrum of elephants, the study documented 30 grass fodders. We used standard protocols to assess the nutritional analysis, and finally the study identified five nutrient rich potential grass fodder, viz., Cynodon dactylon, Dichanthium aristatum, Heteropogon contortus, Oplismenus burmannii and Themeda triandra for fodder bank development in corridors and fringe areas to improve the habitat of elephants. Hence, the findings are crucial and can be utilized for the management and conservation of elephantsin the Coimbatore Elephant Reserve (CER).

Abstract

An elephant, being a mega herbivore, consumes large amounts of food. Due to the lack of availability of fodder inside the forest, the elephants move out of their habitat areas and also find agricultural crops attractive, which further results in man–animal conflict. To improve the elephant habitat area, the current study was conducted to assess the availability of native fodder grasses inside the Coimbatore Elephant Reserve, Western Ghats, from April 2021–April 2022. The area falls between 10°37′and 11°31′ North latitudes and 76°39′and 77°5′ East longitudes. It was approached in a systematic random sampling method. A total of 128 sample plots of 1 sq.m size were randomly placed, and the density of grass species was recorded in percentage (%). The collected samples were shade dried for one week, ground to pass through a 1 mm sieve, and stored in polythene bags. Furthermore, the samples were chemically analyzed to determine their nutritional values. The dry matter (DM) content of various grass fodder varied from 28.18% to 59.75%. The crude protein (CP) content differed between 5.94% and 11.94%. The highest CP was recorded in Cynodon dactylon (11.94%) and the least in Aristida setacea (5.94%). Ether extract content was found in the ranges of 1.00% to 5.00%. The acid detergent fibre (ADF) content of Aristida setacea (45.74%) was observed as the highest, whereas the lowest was observed in Oplismenus burmannii (26.78%), followed by Themeda triandra (26.85%), Heteropogon contortus (30.12%) and Enteropogon monostachyos (30.31%). The average neutral detergent fibre content of grass fodder was 52.27%, with a range of 37.89% (Oplismenus burmannii) to 67.87% (Cymbopogon martinii). The average total digestible nutrient (TDN) content of grass was 77.45%; relative forage quality (RFQ) exhibited wider variations among the grasses and ranged between 107.51 and 198.83. This study is a pioneer in evaluating the nutritional values of native grass fodder species for elephants in the Western Ghats. The study gives strategies for the selection of high nutritive fodder grass for the habitat improvement of elephants, and it also provides scientific and baseline information for the conservation of native grass fodder species in the Western Ghats.

Graphical Abstract

1. Introduction

Elephants are mega herbivores and generalist foragers with a diverse diet which consists of grasses, forbs, fruits, bark, leaves, twigs and roots [1]. Owing to the unique morphology and physiology that accompanies their enormous body size, energy intake by elephants is very high, which is, however, constrained by their rate of forage quality [2]. The elephant consumes a large amount of food, estimated to be 1.5–2.5 percent of its body weight in dry weight fodder [3]. Adult elephants can consume approximately 300 kg of food per day. They can spend an average of 16–18 h per day on consumption. Due to this enormous need for food, elephants cannot afford to be highly selective feeders. In order to meet their fodder requirements, elephants move an average distance of 40 to 50 km, fixing their home ranges, and they follow these fixed routes annually every season [2,4]. Unfortunately, the umbrella species of the forest face a severe crisis due to the limitation of food in the forest territory areas. These factors drive the elephants from the forests to the associated fringe villages in search of food. A paradigm shift from conventional cropping to cash crops such as bananas and corns, often referred to as tempting crops for elephants, and its proximity to the elephant corridors, further attract theses gentle giants to come out of the forests. According to the reports of the WWF, India, in 2017, it wasestimated that approximately 301 elephants and 245 people are killed annually due to human–elephant conflicts in India. In addition, 500,000 families are affected every year by crop destruction and other human–elephant conflict-related issues [5]. Hence, habitat management is critical in adopting elephant conservation strategies in the Western Ghats. Incorporating ideal fodder species into the elephant habitat is one of the key elements in elephant habitat management. The seasonal movement and habitat selection of elephants are largely determined by their foraging behaviour [1]. Reports reveal that elephants in southern India intake heavy graminoids during the wet season [1],with it constituting 84.6% of their diet [6]. Grasses form a natural homogenous group of plants with remarkable diversity, and they play a significant role in the lives of wild animals [7]. They play a crucial role in the maintenance of the world’s ecosystems and biodiversity [8]. Studies on wild grasses, especially their fodder value, have become very important recently for the restoration of degraded ecosystems. Herbivores’ food resource selection is highly variable, and it can be influenced by the nutritional and energetic properties of the food plants. Henceforth, a deep understanding of the nutritional and energetic properties of the food plants consumed by elephants is essential to comprehend the feeding pattern and the selection of fodder plants by Asian elephants [9]. This alsoplays a crucial role in fostering habitat management strategies for elephant conservation in different phytogeographical regions of the Western Ghats. With this background, the present study has been conceived to explore the diversity of grasses around the Coimbatore Elephant Reserve and to evaluate their nutritional value.

2. Materials and Methods

Study area: The present study was conducted in the Mettupalayam and Sirumugai ranges of Coimbatore Forest Division, Western Ghats, Tamil Nadu, India, from April 2021–April 2022. The area falls between 10°37′and 11°31′ North latitudes and 76°39′and 77°5′ East longitudes. A greater part of the division is situated southwards in the Western Ghats, with the north-western parts forming the lower ranges of the Nilgiris. The elephant habitat area represents 20,000 ha of the study area, which was approached in a systematic random sampling method. A transact line of 2 km length was marked in the study area for exploration and documentation of grasses. For that, a 1 sq.m bamboo frame was randomly placed, and the density of grass species was recorded as apercentage (%) [10]. A sampling intensity of 0.2% was used. Sample plots (1 m×1 m) were laid in the opposite direction, and the distance between the sample plots were fixed as 200 m and 50 m from the transect line. A total of 128 sample plots was laid out in 6 beats of the Mettupalayam range and Sirumugai range, viz., Jaccanari, Sundapatti, Nellimalai, Hulikal, Kandiyur, Kallar, Odanthurai, Kunjapanai, Pethikuttai, Koothamundi north, Koothamundi south and Uliyur beat. The respective GPS points were recorded using a Gramin 60 version GPS. By using the geo-referencing points, the plots were marked on the Google Earth Map by using Google Earth Pro software, version 7.3 (Figure 1). Thesamplesof grass species collected from the plots were identified using their local names, whereas their scientific names were identified with the help of a book named “A handbook of Some South Indian grasses” [11]. Based on the survey and direct and indirect evidence of the feeding behaviour of elephants (Figure 2), 30 grass fodder species were catalogued, and the samples were collected for nutritional analysis.
Proximate analysis: The grass fodder samples were collected from the forest and were cut into small pieces so as to facilitate easy handling and uniform sampling for analysis. Samples were shade dried, and the dried samples were then ground to pass through a 1 mm sieve and were stored in polythene bags. The samples were chemically analyzed with three replications to determine their dry matter (DM), crude protein (CP), crude fibre (CF), ether extract (EE) and ash content (AC) using the AOAC [12] method; acid detergent fibre (ADF) and neutral detergent fibre (NDF) were determined as per Van Soest [13]; total digestible nutrient (TDN) and metabolizable energy (ME) as per Moran [14]; digestible dry matter (DDM) and dry matter intake (DMI) calculated as perSchroeder [15]; and relative forage quality (RFQ) calculated as perMoore and Undersander [16].
Statistical analysis: To compare the treatment means, the Tukey test was performed using the Statistical Package for Social Science data (SPSS) software, and the graphs were formed using Paleontological statistical software (PAST) version 3.

3. Results

The DM content of various grass fodder for elephant feeding varied from 28.18 ± 1.66% to 59.75 ± 4.00%. Most of the samples contained over 30% dry matter. The highest dry matter values were observed in Arisida setacea (59.75 ± 4.00%), followed by Eragrostis cilianensis (59.15 ± 2.25%), Alloteropsis cimicina (57.35 ± 2.64%) and Perotis indica (57.35 ± 2.49%). The ash content was found to be in the range of 1.60 ± 0.09% (Eremochloa ophiuroides) to 8.85 ± 0.18% (Themeda triandra). It was observed to be highest in Cynodon dactylon (11.94 ± 0.80%), followed by Themeda trinadra (11.81 ± 0.93%), Heteropogon contortus (11.69 ± 0.75%), Dichanthium aristatum (11.56 ± 0.49%) and the lowestin Aritistida setacea (5.94 ± 0.22%). The average crude protein content of the grass was 8.11%. Ether extract content was found in the range of 1.00 ± 0.00% to 5.00 ± 0.31%. The crude protein content varied between 5.94 ± 0.22% (Aristida setaceae) and 11.94 ± 0.80% (Cynodon dactylon). The highest EE was observed in Cymbopogon martini (5.00 ± 0.31%), followed by Enteropogon monostachyos (4.67 ± 0.37%), Heteropogon contortus (4.33 ± 0.29%) and Hyparrhenia hirta (4.33 ± 0.17%) (Table 1).
The maximum crude fibre content was recorded in Themeda triandra (34.63 ± 2.95%) and it was followed by Heteropogon contortus (34.38 ± 1.20%) Table 2. The maximum ADF content was observed in Aristida setacea (45.74 ± 0.25%), whereas the minimum was observed in Oplismenus burmannii (26.78 ± 1.75%), followed by Themeda triandra (26.85 ± 2.36%), Heteropogon contortus (30.12 ± 0.91%) and Enteropogon monostachyos (30.31 ± 0.13%). The average NDF content of 30 grass fodder species was 52.27% with a range of 37.89 ± 2.07% (Oplismenus burmannii) to 67.87 ± 5.23% (Cymbopogon martinii), excluding Cymbopogon martini (67.87%) and Eragrostis cilianensis (60.16%) (Table 2).
Forage quality: Based on the primary constituents of nutritional attributes, the derived quality parameters, viz., nitrogen free extract, total digestible nutrients, digestible dry matter, dry matter intake, metabolizable energy and relative forage quality were calculated. The total digestible nutrient (TDN) content was significantly different among the species, and it ranged between 62.21 ± 5.60% (Themeda triandra) and 87.26 ± 4.66% (Digitaria longifolia). Metabolizableenergy (ME) varied significantly among the grass fodder species and ranged from 9.62 ± 0.74 MJ/Kg DM to 14.25 ± 1.11MJ/Kg DM. In the current study, the RFQ exhibited wider variations among the grasses and ranged between 107.51 ± 6.94 and 198.83 ± 7.73. RFQ was recorded in Perotis indica (198.83 ± 7.73), followed by Oplismenus burmannii (192.77 ± 4.11) and Kyllinga brevifolia (190.50 ± 11.49), whereas Cymbopogon martinii (107.51 ± 6.94) registered a minimum forage quality index (Table 3).

4. Discussion

Grasses were the most preferred feed resource by elephants in the study area, most prominently during the rainy season [4]. Dry matter (DM) is the actual amount of feed material excluding water, volatile acid and bases. The DM content varies according to the plant species, parts of the plant and its maturity during various growing conditions such as thesoil and environment. This can be attributed to the fact that the grass grows naturally in forest areas with adverse climatic conditions. This is in accordance with the findings of Khanum [17], who reported that the DM content of salt tolerant grasses varied from 31.30% (Leptochloa fusca) to 56.10% (Cynodon dactylon). The average ash content of the samples was 4.27%. This result is consistent with the results reported by Hamid et al. [18], who stated that the values of Cenchrus ciliaris were between the range of 8.98% and 9.14%. The CP values of the grass fodder species were observed to be above the critical value of 7.5% which is reported to be required for proper digestion (Figure 3). This was in accordance with the findings of Faji et al., Gate et al. and Abebe et al. [19,20,21],where the CP values were obtained in the range of 5.04% (Desho grass) to 6.98% (Setaria sphacelata), 6.13% to 9.63% (Baja × Napier hybrid) and 7.24% (Cenchrus ciliaris) to 8.90% (Chrysopogon aucheri). Conversely, it was in contrast with the findings of Adebayo et al. [22],who reported thatthe values of CP were from 9.49% to 25.86% in Guinea grass.
The study also revealed that the crude fibre content was found in the range from 10.67 ± 0.78% to 34.63 ± 2.95%. This might be attributed to the site quality, season, plant species and their growth pattern. The range of the crude fibres in the grasses studied is in accordancewith the findings of Karbivska et al. and Khude and Al-Rowaily et al. [8,23,24], who reported that the crude fibre content varied from 29.00% (Lolium perenne) to 30.40% (Dactylis glomerata), 25.00% (Leptochola fusca) to 28.50% (Pennisetum purpureum), and 11.97% (Cyperus conglomeratus) to13.84% (Panicum turgidum) respectively. The. NDF content of all the grasses lies below the critical value of 60%. High NDF content in the fodder affects the voluntary feed intake and feed conversion efficiency. According to Singh and Oosting [25], if the roughage contains above 65% NDF, it is considered as poor quality feed. This supports the findings of Faji et al., Gate et al. and Megersa et al. [20,26,27], who reported that the ADF and NDF contents were in the range of 35.33% (Panicum aquatica) to 42.03% (Panicum coloratum) and 64.89% (Panicum aquatica) to 71.62% (Chloris gayana); 29.80% to 52.80% (Bajra x Naiper hybrid) and 61.40% to 77.60% (Bajra x Naiper hybrid); and 42.33% (Pennisetum unssetm) to 54.99% (Pennisetum sp.) and 72.45% (Eustachys paspaloidsi), respectively (Figure 4).
The average TDN content of grass fodder was 77.45% (Table 3). A similar result was reported by Hamid et al. [18], who reported that the values were in the range of 53.14% to 63.65% TDN, which provides an assessment of the energy content of the feed. The larger the value of TDN, the more energy is condensed within feedstuff. The study was in accordancewith those of Zewdu, Khude, and Bamikole and Ikhatua [8,28,29], where the values were found in the range of 8.61 MJ/Kg DM to 9.77 MJ/Kg DM (Pennisetum purpureum); 6.36 MJ/Kg DM (Cynodon dactylon) to 7.29 MJ/Kg DM (Sporobolus arabicus); and 8.77 MJ/Kg DM (Pannicum maximum). Among the forage quality parameters, RFQ is very essential because forage quality index is used to allocate forages to the herbivores with the given levels of expected performance [30]. DDM denotes the total digestibility of the feed, whereas DMI denotes the amount of feed an animal consumes as a percentage of its body weight and is calculated from its NDF percentage. The maximum RFQ was recorded in Perotis indica, followed by Oplismenus burmannii. This might be due to the lower ADF and NDF content in the above grass species than in other grass species, because the RFQ is derived from ADF and NDF [31] (Figure 5). The results were indirectly proportional to the ADF and NDF content (Figure 6). The study was in agreement with the findings of Faji et al. [26],who recorded the RFQ values in the range between 115.07% (Chloris gyana) and 122.92% (Urochloa decumbens).

5. Conclusions

Wild grass fodder species plays a vital role in improving herbivore productivity in natural forests, and it has potentially good protein supplements, particularly during the critical periods of the year when the quantity and quality of herbage are limited. The major limiting factor for an elephant’s biorhythm is feed, both in terms of quantity as well as quality. To curb the problem of feed shortage, the incorporation of wild grass fodder species could be regarded as a one-stop solution in habitat management. The unavailability of feed sources is one of the most significant concerns for elephant conservation in the Western Ghats, and can be solved through the rehabilitation of elephant corridors and habitat areas. In order to rehabilitate these elephant corridors, authenticated and consistent information on the nutritional value of native fodder grass species is required. This study is highly significant for being the pioneer research on the nutritional evaluation of native grass fodder species in the Western Ghats, which can form the backbone for management plans to enrich the habitats of elephant corridors. The identified nutrient rich grass fodder species, viz., Cynodon dactylon, Dichanthium aristatum, Heteropogon contortus, Oplismenus burmannii and Themeda triandra, are highly recommended for fodder bank development in corridors and fringe areas to cater to the needs of the megaherbivore and its niche areas.

Author Contributions

Conceptualization, writing—original draft, validation, software and formal analysis by M.P.; conceptualization, investigation, writing—review and editing, and funding acquisition by M.P.D. and K.B.; conceptualization, investigation and resources by S.G. and K.N.G.; data curation and software by M.V.; formal analysis and funding acquisition by S.M.; conceptualization and visualization by P.H.; formal analysis, validation and investigation by P.R.; review and editing, investigation and visualization by M.T.; writing—review and editing, software analysis, visualization and investigation by V.P., writing—review, editing, data curation and formal analysis by S.K.; writing—review and editing, software analysis and validation by B.V.; writing—review and editing, validation and visualization by J.Y.Z.; writing—review and editing, software analysis, validation and visualization by N.B.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data can be found within the article.

Acknowledgments

The authors deeply acknowledge for the Tamil Nadu Agricultural University for providing infrastructural facilities for the successful conduct of this study andthe Tamil Nadu Forest Department for their financial assistance for conducting the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sukumar, R. The Living Elephants: Evolutionary Ecology, Behaviour, and Conservation; Oxford University Press: Oxford, UK, 2003. [Google Scholar]
  2. Wilmshurst, J.F.; Fryxell, J.M.; Bergman, C.M. The allometry of patch selection in ruminants. Proc. R. Soc. B Boil. Sci. 2000, 267, 345–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Gubbi, S.; Swaminath, M.H.; Poornesha, H.C.; Bhat, R.; Raghunath, R. An elephantine challenge: Human–elephant conflict distribution in the largest Asian elephant population, southern India. Biodivers. Conserv. 2014, 23, 633–647. [Google Scholar] [CrossRef]
  4. Sukumar, R. A brief review of the status, distribution and biology of wild Asian elephants Elephas maximus. Int. Zoo Yearb. 2006, 40, 1–8. [Google Scholar] [CrossRef]
  5. WWF India. Glimpses of Initiatives Taken for Elephant Conservation in India (2012–2017) Based on Parliamentary Questions and Replies; ENVIS Centre WWF India and Project Elephant Division; MoEF and CC: New Delhi, India, 2017; pp. 14–15. [Google Scholar]
  6. Baskaran, N.; Balasubramanian, M.; Swaminathan, S.; Desai, A.A. Feeding ecology of the Asian elephant Elephas maximus Linnaeus in the Nilgiri Biosphere Reserve, southern India. J. Bombay Nat. Hist. Soc. 2010, 107, 3. [Google Scholar]
  7. Gor, S.H. Ethno-Medicinally Significant Grasses of Girnar Wildlife Sanctuary of Gujarat, India. Plant Arch. 2022, 22, 158–161. [Google Scholar] [CrossRef]
  8. Khude, V.S. Diversity studies of grasses around Arjunnagar. Plant Arch. 2016, 16, 477–478. [Google Scholar]
  9. Wood, K.A.; Hilton, G.M.; Newth, J.L.; Rees, E.C. Seasonal variation in energy gain explains patterns of resource use by avian herbivores in an agricultural landscape: Insights from a mechanistic model. Ecol. Model. 2019, 409, 108762. [Google Scholar] [CrossRef]
  10. Devos, A.; Mosby, H.D. Habitat Analysis and Evaluation in Wildlife Management Techniques; Giles, R.H., Ed.; The Wildlife Society: Washington, DC, USA, 1971. [Google Scholar]
  11. Achariyar, R.B. A handbook of some South Indian grasses. Montana 1921, 270, 205i. [Google Scholar]
  12. Association of Official Analytical Chemists; Association of Official Agricultural Chemists (US). Official Methods of Analysis of the Association of Official Analytical Chemists; The Association of Official Analytical Chemists: Gaithersburg, MD, USA, 2000. [Google Scholar]
  13. Van Soest, P.J. Nutritional Ecology of the Ruminant; Cornell University Press: Ithaca, NY, USA, 1994. [Google Scholar]
  14. Moran, J. Tropical Dairy Farming: Feeding Management for Small Holder Dairy Farmers in the Humid Tropics; Csiro Publishing: Clayton, Australia, 2005. [Google Scholar]
  15. Schroeder, J.W. Interpreting Forage Analysis; North Dakota State University: Fargo, ND, USA, 1994. [Google Scholar]
  16. Moore, J.E.; Undersander, D.J. Relative forage quality: An alternative to relative feed value and quality index. In Proceedings of the 13th Annual Florida Ruminant Nutrition Symposium, Gainesville, FL, USA, 10 January 2002; Volume 32, pp. 16–29. [Google Scholar]
  17. Khanum, S.A.; Yaqoob, T.; Sadaf, S.; Hussain, M.; Jabbar, M.A.; Hussain, H.N.; Kausar, R.; Rehman, S. Nutritional evaluation of various feedstuffs for livestock production using in vitro gas method. Pak. Vet. J. 2007, 27, 129. [Google Scholar]
  18. Hamid, A.; Singh, S.; Agrawal, M.; Agrawal, S.B. Effects of plant age on performance of the tropical perennial fodder grass, Cenchrus ciliaris L. subjected to elevated ultraviolet-B radiation. Plant Biol. 2020, 22, 805–812. [Google Scholar] [CrossRef]
  19. Faji, M.; Kebede, G.; Feyissa, F.; Mohammed, K.; Minta, M.; Mengistu, S.; Tsegahun, A. Evaluation of ten perennial forage grasses for biomass and nutritional quality. Trop. Grasslands-Forrajes Trop. 2021, 9, 292–299. [Google Scholar] [CrossRef]
  20. Gate, D.V.; Damame, S.V.; Gore, S.B. Assessment of forage nutritional quality of B x N hybrids between giant bajra and napier grass. Forage Res. 2018, 43, 279–282. [Google Scholar]
  21. Abebe, A.; Tolera, A.; Holand, Ø.; Ådnøy, T.; Eik, L.O. Seasonal variation in nutritive value of some browses and grass species in Borana rangeland, Southern Ethiopia. Trop. Subtrop. Agroecosyst. 2012, 15, 261–271. [Google Scholar]
  22. Adebayo, O.A.; Ibhaze, G.A.; Onibi, G.E. Impact of substituted mulberry (Morus alba) leaves with guinea grass (Panicum maximum) on feed intake, milk yield and composition of lactating West African Dwarf does. Anim. Res. Int. 2022, 19, 4281–4292. [Google Scholar]
  23. Karbivska, U.; Kurgak, V.; Gamayunova, V.; Butenko, A.; Malynka, L.; Kovalenko, I.; Onychko, V.; Masyk, I.; Chyrva, A.; Zakharchenko, E.; et al. Productivity and quality of diverse ripe pasture grass fodder depends on the method of soil cultivation. Acta Agrobot. 2020, 73, 1–11. [Google Scholar] [CrossRef]
  24. Al-Rowaily, S.L.; Abd-ElGawad, A.M.; Alghanem, S.M.; Al-Taisan, W.A.; El-Amier, Y.A. Nutritional value, mineral composition, secondary metabolites, and antioxidant activity of some wild geophyte sedges and grasses. Plants 2019, 8, 569. [Google Scholar] [CrossRef] [Green Version]
  25. Singh, G.P.; Oosting, S.J. A model for describing the energy value of straws. Indian Dairym. 1992, 44, 322–327. [Google Scholar]
  26. Faji, M.; Kebede, G.; Feyissa, F.; Mohammed, K.; Mengistu, G. Yield, Yield Components, and Nutritive Value of Perennial Forage Grass Grown under Supplementary Irrigation. Adv. Agric. 2022, 2022, 5471533. [Google Scholar] [CrossRef]
  27. Megersa, E.; Mengistu, A.; Asebe, G. Nutritional characterization of selected fodder species in Abol and Lare districts of Gambella region, Ethiopia. J. Nutr. Food Sci. 2017, 7, 1000581. [Google Scholar] [CrossRef]
  28. Zewdu, T. Variation in growth, yield, chemical composition and in vitro dry matter digestibility of Napier grass accessions (Pennisetum purpureum). Trop. Sci. 2005, 45, 67–73. [Google Scholar] [CrossRef]
  29. Bamikole, M.A.; Ikhatua, U.J. Nutritional evaluation of Ficus thonningii-Panicum maximum mixtures in West African dwarf goats. Nutr. Food Sci. 2010, 40, 280–288. [Google Scholar] [CrossRef]
  30. Amiri, F. Comparison of nutritive values of grasses and legume species using forage quality index. Songklanakarin J. Sci. Technol. 2012, 34, 577–586. [Google Scholar]
  31. Waramit, N.; Moore, K.J.; Fales, S.L. Forage quality of native warm-season grasses in response to nitrogen fertilization and harvest date. Anim. Feed Sci. Technol. 2012, 174, 46–59. [Google Scholar] [CrossRef]
Figure 1. Map shows 1 × 1 m size of sample plots for grass fodder in the study area. (SP- Sample plot numbers).
Figure 1. Map shows 1 × 1 m size of sample plots for grass fodder in the study area. (SP- Sample plot numbers).
Animals 12 02668 g001
Figure 2. Direct feeding behaviour (grass fodder) of elephants in the study area.
Figure 2. Direct feeding behaviour (grass fodder) of elephants in the study area.
Animals 12 02668 g002
Figure 3. Crude protein content of native grass fodder species.
Figure 3. Crude protein content of native grass fodder species.
Animals 12 02668 g003
Figure 4. Crude fibre (CF), acid detergent fibre (ADF) and neutral detergent fibre (NDF) per cent in native grass fodder species.
Figure 4. Crude fibre (CF), acid detergent fibre (ADF) and neutral detergent fibre (NDF) per cent in native grass fodder species.
Animals 12 02668 g004
Figure 5. Relative forage quality of native grass fodder species.
Figure 5. Relative forage quality of native grass fodder species.
Animals 12 02668 g005
Figure 6. Relationship between detergent fibres and relative feed quality.
Figure 6. Relationship between detergent fibres and relative feed quality.
Animals 12 02668 g006
Table 1. Nutritional value of native grass fodder species (%).
Table 1. Nutritional value of native grass fodder species (%).
Species NameDMACCPEE
1.Alloteropsis cimicina57.35 ± 2.64abc4.25 ± 0.27fg6.75 ± 0.19fg1.67 ± 0.15gh
2.Apluda mutica47.79 ± 1.07efgh7.10 ± 0.01cd7.50 ± 0.37cdef3.00 ± 0.05c
3.Acrachne racemosa40.26 ± 1.09ijkl3.15 ± 0.21ij6.31 ± 0.37fg2.67 ± 0.14de
4.Aristida setacea59.75 ± 4.00a3.00 ± 0.12jk5.94 ± 0.22g2.00 ± 0.01fg
5.Brachiaria semiundulata54.01 ± 4.62abcde1.85 ± 0.14lm6.44 ± 0.15fg1.33 ± 0.02hi
6.Bromus diandrus53.80 ± 1.03abcdef2.35 ± 0.14l6.81 ± 0.34efg2.33 ± 0.19ef
7.Bulbostylis barbata33.33 ± 1.11lmno2.40 ± 0.06kl6.75 ± 0.18fg1.33 ± 0.11hi
8.Cenchrus ciliaris41.27 ± 1.05hijk6.90 ± 0.02d6.38 ± 0.45fg2.67 ± 0.13de
9.Chloris barbata50.75 ± 3.91cdef3.35 ± 0.20hij7.31 ± 0.36cdef1.00 ± 0.08i
10.Chloris virgata48.48 ± 0.48defg3.45 ± 0.18hij7.25 ± 0.36cdef1.00 ± 0.00i
11.Chrysopogon aciculatus55.07 ± 3.01abcd5.10 ± 0.24e9.88 ± 0.15b1.33 ± 0.06hi
12.Cymbopogon martinii46.63 ± 1.47fghi4.35 ± 0.32fg8.00 ± 0.14cde5.00 ± 0.31a
13.Cynodon dactylon47.09 ± 0.44efgh7.90 ± 0.24b11.94 ± 0.80a2.33 ± 0.18ef
14.Cyperus rotundus32.21 ± 2.40mno4.60 ± 0.36ef8.06 ± 0.41cd1.67 ± 0.07gh
15.Dichanthium aristatum53.37 ± 0.71abcdef8.70 ± 0.72a11.56 ± 0.49a1.67 ± 0.09gh
16.Digitaria ciliaris34.16 ± 1.77jklmno4.20 ± 0.04fg7.56 ± 0.54cdef2.33 ± 0.09ef
17.Digitaria longifolia37.13 ± 2.44jklmn2.05 ± 0.03lm7.31 ± 0.12cdef2.67 ± 0.03de
18.Digitaria sanguinalis44.48 ± 1.81ghij3.00 ± 0.24jk6.31 ± 0.15fg1.33 ± 0.08hi
19.Echinochloa colona36.87 ± 1.17jklmn3.35 ± 0.24hij6.81 ± 0.21efg2.67 ± 0.02de
20.Enteropogon monostachyos37.40 ± 2.58ijklmn3.70 ± 0.21ghi10.50 ± 0.19b4.67 ± 0.37ab
21.Eragrostiella bifaria55.07 ± 2.23abcd3.25 ± 0.05ij7.25 ± 0.46cdef1.33 ± 0.02hi
22.Eragrostis cilianensis59.15 ± 2.25ab2.15 ± 0.06lm7.31 ± 0.31cdef1.67 ± 0.13 gh
23.Eremochloa ophiuroides38.97 ± 3.49jklm1.60 ± 0.09m7.06 ± 0.15defg1.00 ± 0.07i
24.Heteropogon contortus31.37 ± 1.96no7.55 ± 0.37bc11.69 ± 0.75a4.33 ± 0.29b
25.Hyparrhenia hirta28.18 ± 1.66o5.00 ± 0.30e10.31 ± 0.01b4.33 ± 0.17b
26.Kyllinga brevifolia52.51 ± 2.95abcdef1.75 ± 0.13lm6.81 ± 0.30efg1.00 ± 0.06i
27.Melinis repens33.33 ± 1.71lmno4.00 ± 0.33fgh8.38 ± 0.53c3.33 ± 0.16c
28.Oplismenus burmannii38.97 ± 0.57jklm7.20 ± 0.15cd9.94 ± 0.11b3.00 ± 0.09cd
29.Perotis indica57.35 ± 2.49abc2.15 ± 0.10lm7.31 ± 0.63cdef2.33 ± 0.14ef
30.Themeda triandra32.78 ± 0.76mno8.85 ± 0.18a11.81 ± 0.93a3.00 ± 0.13c
SEM1.830.190.330.12
a SEM:standard error of mean. DM: dry matter, AC: ash content; CP: crude protein; EE: ether extract. According to theTukey test, mean values with different superscript (abcdefghijklmno) within a column are significantly different (p < 0.05). The data are expressed as mean ± Standard deviation (SD).
Table 2. Crude fibre and Detergent fibre components of the grass fodder species.
Table 2. Crude fibre and Detergent fibre components of the grass fodder species.
Species NameCFADFNDF
1.Alloteropsis cimicina18.63 ± 1.01ijk43.32 ± 1.03gh51.23 ± 0.64cdefg
2. Apluda mutica24.29 ± 0.25cdef35.45 ± 2.33bcd52.65 ± 0.10defgh
3.Acrachne racemosa18.76 ± 0.77ijk42.13 ± 2.89fgh59.08 ± 0.85ghi
4. Aristida setacea21.38 ± 0.69efghi45.74 ± 0.25h50.87 ± 0.41cdefg
5.Brachiaria semiundulata20.88 ± 1.56fghi39.76 ± 2.12defgh48.97 ± 4.16bcde
6.Bromus diandrus20.13 ± 1.66ghi42.34 ± 0.97fgh51.23 ± 3.79cdefg
7.Bulbostylis barbata15.68 ± 1.29jkl36.34 ± 2.09bcdef56.98 ± 2.93efghi
8.Cenchrus ciliaris28.18 ± 1.36bc42.34 ± 0.14fgh52.31 ± 4.30cdefgh
9.Chloris barbata20.11 ± 0.02gh39.76 ± 2.97defgh52.43 ± 4.70cdefgh
10.Chloris virgata20.43 ± 0.52fghi40.01 ± 2.93defgh53.45 ± 0.14efgh
11.Chrysopogon aciculatus23.90 ± 1.17defg39.76 ± 3.49defgh52.65 ± 2.94defgh
12.Cymbopogon martinii26.86 ± 1.52bcd40.21 ± 2.63defgh67.87 ± 5.23j
13.Cynodon dactylon28.45 ± 1.40b36.43 ± 1.97bcdef56.32 ± 2.79efghi
14.Cyperus rotundus25.32 ± 1.78bcde31.89 ± 1.02abc52.31 ± 1.15cdefgh
15.Dichanthium aristatum26.33 ± 0.40bcd34.65 ± 1.64bcd52.87 ± 1.84defgh
16.Digitaria ciliaris19.35 ± 1.50ij39.45 ± 1.89defgh56.32 ± 4.30efghi
17.Digitaria longifolia10.67 ± 0.78n36.65 ± 2.52cdef55.76 ± 0.62efghi
18.Digitaria sanguinalis10.83 ± 0.74n38.57 ± 0.40defg58.34 ± 0.46fghi
19.Echinochloa colona13.26 ± 1.10lmn35.53 ± 0.26bcde50.84 ± 0.66cdef
20.Enteropogon monostachyos28.11 ± 2.34bc30.31 ± 0.13abc42.16 ± 0.42ab
21.Eragrostiella bifaria15.71 ± 0.96jkl43.27 ± 1.09gh58.34 ± 3.28fghi
22.Eragrostis cilianensis15.19 ± 1.16klm41.89 ± 3.34efgh60.16 ± 2.44hij
23.Eremochloa ophiuroides18.13 ± 0.42ijk34.55 ± 2.64bcd44.89 ± 0.81abcd
24.Heteropogon contortus34.38 ± 1.20a30.12 ± 0.91ab41.23 ± 0.08ab
25.Hyparrhenia hirta24.91 ± 1.00bcde33.87 ± 1.13bcd58.94 ± 2.29fghi
26.Kyllingabrevifolia11.31 ± 0.67mn38.76 ± 2.89defg44.31 ± 3.18abc
27.Melinis repens23.31 ± 0.95defgh33.87 ± 1.18bcd63.12 ± 2.08ij
28.Oplismenus burmannii19.91 ± 0.54hi26.78 ± 1.75a37.89 ± 2.07a
29.Perotis indica12.29 ± 0.13lmn30.98 ± 0.39abc42.14 ± 1.34ab
30.Themeda triandra34.63 ± 2.95a26.85 ± 2.36a42.42 ± 1.62ab
SEM1.001.632.09
a All values represented are on a dry matter basis. ADF: acid detergent fibre, NDF: neutral detergent fibre. According to the Tukey test, mean values with different superscript (abcdefghijk) within a column are significantly different (p < 0.05). The data areexpressed as mean ± SD.
Table 3. Forage quality parameters of grass fodder species.
Table 3. Forage quality parameters of grass fodder species.
Species NameNFETDNDDMDMIMERFQ
1.Alloteropsis cimicina68.70 ± 1.01bcde79.51 ± 1.07abc55.15 ± 2.15de2.34 ± 0.01defg12.82 ± 0.12abcdf151.42 ± 3.68defg
2.Apluda mutica58.11 ± 2.30cfgh73.23 ± 5.86abcde61.28 ± 4.95abcde2.28 ± 0.03efgh11.66 ± 0.50dfgh135.69 ± 3.28ghij
3.Acrachne racemosa69.11 ± 0.33abde81.19 ± 5.25ab56.08 ± 0.17cde2.03 ± 0.07ghi13.13 ± 1.07abcdf134.08 ± 11.18ghij
4.Aristida setacea67.68 ± 3.21bcdef79.39 ± 5.62abc53.27 ± 2.21e2.36 ± 0.16defg12.80 ± 0.69abcdf152.25 ± 3.53defg
5.Brachiaria semiundulata69.50 ± 3.21abcd80.20 ± 3.79abc57.93 ± 3.65bcde2.45 ± 0.14cdef12.95 ± 0.91abcdf159.79 ± 6.96cdef
6.Bromus diandrus68.38 ± 1.53bcde80.56 ± 4.75abc55.92 ± 2.25cde2.34 ± 0.18defg13.01 ± 0.65abcdf153.43 ± 8.73defg
7.Bulbostylis barbata73.84 ± 2.00abc83.10 ± 1.69ab60.59 ± 4.27abcde2.11 ± 0.04fghi13.48 ± 1.12abcd142.29 ± 1.10efghi
8.Cenchrus ciliaris55.87 ± 1.01gh71.16 ± 1.65bcde55.92 ± 0.60cde2.29 ± 0.13efh11.27 ± 0.17fghi132.72 ± 1.62ghij
9.Chloris barbata68.23 ± 4.01bcde78.70 ± 2.33abc57.93 ± 3.80bcde2.29 ± 0.14efgh12.67 ± 0.60abcdf146.45 ± 11.04defgh
10.Chloris virgata67.87 ± 3.29bcde78.42 ± 1.05abc57.73 ± 4.65cde2.25 ± 0.15fgh12.62 ± 0.04abcdf143.14 ± 7.59efghi
11.Chrysopogon aciculatus59.79 ± 0.11efg73.28 ± 3.92abcde57.93 ± 2.92bcde2.28 ± 0.06efgh11.67 ± 0.44dfgh135.78 ± 0.97ghij
12.Cymbopogon martinii55.79 ± 4.46gh74.79 ± 6.49abcde57.58 ± 0.41cde1.77 ± 0.12i11.95 ± 0.60cdfg107.51 ± 6.94k
13.Cynodon dactylon49.38 ± 1.73hi66.95 ± 1.66cde60.52 ± 4.58abcde2.13 ± 0.07fghi10.50 ± 0.73ghi115.97 ± 7.81jk
14.Cyperus rotundus60.35 ± 0.95defg73.89 ± 3.60abcde64.06 ± 1.68abcd2.29 ± 0.03efgh11.78 ± 0.34dfgh137.82 ± 0.49fghij
15.Dichanthium aristatum51.74 ± 3.33gh67.52 ± 1.67cde61.91 ± 1.28abcde2.27 ± 0.09fgh10.60 ± 0.28ghi124.60 ± 5.80hijk
16.Digitaria ciliaris66.56 ± 0.18cdef78.97 ± 0.36abc58.17 ± 5.11abcde2.13 ± 0.01fghi12.72 ± 0.36abcdf136.80 ± 5.94ghij
17.Digitaria longifolia77.30 ± 0.89ab87.26 ± 4.6660.35 ± 3.06abcde2.15 ± 0.15fghi14.25 ± 1.11a152.68 ± 9.15defg
18.Digitaria sanguinalis78.53 ± 5.30a86.11 ± 7.44a58.85 ± 0.76abcde2.06 ± 0.04fghi14.04 ± 0.08a144.00 ± 10.05efghi
19.Echinochloa colona73.91 ± 0.73abc84.53 ± 2.83ab61.22 ± 0.20abcde2.36 ± 0.13defg13.75 ± 0.78abc162.20 ± 10.34cde
20.Enteropogon monostachyos53.02 ± 2.58gh73.06 ± 1.63abcde65.29 ± 2.86abc2.85 ± 0.14abc11.63 ± 0.46dfgh169.06 ± 9.24bcd
21.Eragrostiella bifaria72.46 ± 4.55abc82.02 ± 4.25ab55.19 ± 0.66de2.06 ± 0.08fghi13.28 ± 0.52abcd137.17 ± 1.60fghij
22.Eragrostis cilianensis73.68 ± 2.20abc83.55 ± 2.88ab56.27 ± 1.37cde1.99 ± 0.03ghi13.57 ± 0.17abc135.50 ± 5.12ghij
23.Eremochloa ophiuroides72.21 ± 5.46abc81.84 ± 2.41ab61.99 ± 0.73abcde2.67 ± 0.05bcde13.25 ± 0.11abcd177.86 ± 8.48abc
24.Heteropogon contortus42.05 ± 1.92i64.34 ± 0.94de65.44 ± 1.35abc2.91 ± 0.25ab10.01 ± 0.19hi152.25 ± 11.50defg
25.Hyparrhenia hirta55.45 ± 4.80gh73.97 ± 2.15abcde62.52 ± 2.02abcde2.04 ± 0.18ghi11.79 ± 0.48dfgh122.44 ± 2.50ijk
26.Kyllinga brevifolia79.13 ± 2.2886.52 ± 5.95a58.71 ± 1.98abcde2.71 ± 0.18bcd14.12 ± 0.53a190.50 ± 11.49ab
27.Melinis repens60.98 ± 4.83defg76.51 ± 5.72abcd62.52 ± 5.57abcde1.90 ± 0.15hi12.27 ± 0.67bcdfg118.26 ± 6.50jk
28.Oplismenus burmannii59.95 ± 4.37defg74.87 ± 6.25abcde68.04 ± 5.62a3.17 ± 0.01a11.96 ± 0.64cdfg192.77 ± 4.11a
29.Perotis indica75.92 ± 2.48abc85.88 ± 7.58ab64.77 ± 3.86abcd2.85 ± 0.23abc14.00 ± 0.44a198.83 ± 7.73a
30.Themeda triandra41.71 ± 1.68i62.21 ± 5.60e67.98 ± 4.38ab2.83 ± 0.09abc9.62 ± 0.74i143.08 ± 3.11efghi
SEM2.453.472.560.100.495.82
a All values are represented on a dry matter basis; NFE: nitrogen free extract; TDN: total digestible nutrient; DDM: digestible dry matter; DMI: dry matter intake; ME: metabolizable energy; RFQ: relative forage quality; b According to the Tukey test, mean values with different superscript (abcdefghijkl) within a column are significantly different (p < 0.05). The data are expressed as mean±SD.; b Units of NFE, TDN, DMI and DDM are expressed in %. c Units of ME are represented as MJ/Kg DM.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Packialakshmi, M.; Palani Divya, M.; Baranidharan, K.; Geetha, S.; Nalliappan Ganesan, K.; Vijayabhama, M.; Manivasakan, S.; Hemalatha, P.; Radha, P.; Tilak, M.; et al. Exploring the Nutritional Potential of Wild Grass Fodder for Mega Herbivore (Elephas maximus) in the Foothills of Western Ghats. Animals 2022, 12, 2668. https://doi.org/10.3390/ani12192668

AMA Style

Packialakshmi M, Palani Divya M, Baranidharan K, Geetha S, Nalliappan Ganesan K, Vijayabhama M, Manivasakan S, Hemalatha P, Radha P, Tilak M, et al. Exploring the Nutritional Potential of Wild Grass Fodder for Mega Herbivore (Elephas maximus) in the Foothills of Western Ghats. Animals. 2022; 12(19):2668. https://doi.org/10.3390/ani12192668

Chicago/Turabian Style

Packialakshmi, Mohan, Muthusamy Palani Divya, Krishnamoorthy Baranidharan, Seshadri Geetha, Kalipatty Nalliappan Ganesan, Manickam Vijayabhama, Srinivasan Manivasakan, Palanivel Hemalatha, Palaniswamy Radha, Meenakshisundaram Tilak, and et al. 2022. "Exploring the Nutritional Potential of Wild Grass Fodder for Mega Herbivore (Elephas maximus) in the Foothills of Western Ghats" Animals 12, no. 19: 2668. https://doi.org/10.3390/ani12192668

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop