Volume 2, Issue 2 pp. 112-119
SHORT COMMUNICATION
Open Access

Nutritive value of forages consumed by ruminants during the dry season in the Western Highlands of Cameroon

Leslie Tieubou Tsopgni

Corresponding Author

Leslie Tieubou Tsopgni

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Correspondence Leslie Tieubou Tsopgni, Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon.

Email: [email protected]

Contribution: Formal analysis, ​Investigation, Methodology, Writing - original draft

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Jules Lemoufouet

Jules Lemoufouet

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: Methodology, Supervision

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Felix Meutchieye

Felix Meutchieye

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: Supervision

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Langston Wilfried Edie Nounamo

Langston Wilfried Edie Nounamo

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: Formal analysis, ​Investigation

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Camile Nyembo Kondo

Camile Nyembo Kondo

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: ​Investigation

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Jean Raphaël Kana

Jean Raphaël Kana

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: Conceptualization, Methodology, Supervision, Validation

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Mama Mouchili

Mama Mouchili

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: Formal analysis, Supervision

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Back Armel Feudjio

Back Armel Feudjio

Department of Animal Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

Contribution: ​Investigation

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First published: 09 June 2023

Abstract

Background

In the Western Highlands of Cameroon (WHC), information on the nutritional value of fodder species consumed by ruminants is very limited.

Methods

Through interviews with farmers and monitoring of animals on the range, information was obtained on the types of fodder resources consumed by the ruminants. Samples of each forage species were collected in 15 districts, mixed, chopped, and dried in a ventilated oven at 60°C, and then ground for chemical composition analysis.

Results

Twenty-two forage species were identified. Among these species, Vernonia amygdalina (29.43% ± 0.45% dry matter [DM]) and Pennisetum clandestinum (87.21% ± 1.33% DM) were, respectively, the highest in protein and neutral detergent fiber contents. Manihot esculenta was one of the most energy-rich forages in terms of forage unit for lactation and forage unit for meat production. Hierarchical ascending classification revealed three main groups of forages, respectively, rich in crude fiber (Group 1), protein (Group 2), and energy (Group 3).

Conclusions

The present study identified 22 forage species browsed by ruminants in WHC. Further studies should be carried out to determine the antinutritional factors and to evaluate their nutrient value using in vitro or in situ digestibility techniques.

INTRODUCTION

In tropical areas, the nutritional value of fodder resources is a recurrent problem for livestock farmers (Awono et al., 2012). The production performance of livestock is strongly linked to the nutritional value of forages in the pastures (Klein et al., 2014). Lack of data on the inventory and nutritional value of forage species present in a locality is a hindrance to the planning and formulation of rangeland management plans (Suheel et al., 2015). In Cameroon, Lucha and Chuyong (2016) and Pahimi et al. (2020) carried out studies on the inventory of forage species in two agroecological zones. They identified 151 forage species in the Northwest region and 41 species in the North region. However, these studies were limited only to the inventory of fodder resources, without any attention to their nutritional value.

In recent decades, the number of livestock farmers increased in the Western Highlands of Cameroon (WHC), leading to an increase in forage demand, especially during the dry season, where forage shortage is crucial (Ministère de l'Elevage, des Pêches et des Industries Animales [MINEPIA], 2011). Improvement of the nutritional value of forage species in this area could be an asset to enhance meat and milk production in Cameroon. The general objective of the present study is to contribute to a better understanding of ruminant feeding in Cameroon through the design of a database on available forage resources with their nutritive values. More specifically, the aim was to identify and determine the nutritional value of forage species consumed by ruminants in the WHC.

MATERIALS AND METHODS

Description of the study area

The WHC (Figure 1) is characterized by a rainfall of 1500–2000 mm with a 9-month rainy season and a 3-month dry season. The average annual temperature ranges from 22°C to 25°C. The soils are ferralitic, sandy-clay, generally not deep, and rejuvenated by erosion. Rich in humus, they are suitable for food and perennial crops.

Details are in the caption following the image
Western Highlands divisions.

Sampling

Five divisions in which ruminant breeders had a large herd were chosen, namely, Menoua, Bamboutos, Ndé, Mifi, and Noun. On the same basis, three districts were chosen per division. In these three districts, the snowball sampling or chain sampling method consisting of identifying new breeders from other breeders to form part of the sample was used. The latter were asked to provide information on the fodder species consumed by their livestock. Subsequently, with their permission, direct observation of the animals on the field was carried out to identify the forage species. Samples were collected from 15 districts at the flowering stage. Fresh samples were chopped, mixed and sun-dried for 6 days on the field. The dried samples were finely crushed and preserved in plastic bags to prevent the absorption of moisture for the evaluation of the chemical composition.

Forage species identification

Forage species were identified using the botanical guides “Graminée du Cameroun” (Van Der Zon, 1992) and “Guide des ligneux” (Geerling, 1982). The identification of fodder plants was based on their morphological characteristics, according to these guides.

Analysis of forage chemical composition

Analysis of forage chemical composition consisted of determining the moisture content by drying the different forages in an oven at 103°C for 12 h. Ash content was determined by incinerating samples in a muffle furnace at 500°C for 6 h. Crude protein (CP), ether extracts (EEs), and crude fiber (CF, 100% dry matter [DM]) were determined using the Kjeldahl, Soxlhet, and Weende methods, respectively (Association of Official Analytical Chemists [AOAC], 2000). Organic matter (OM) was determined from the difference between the percentages of DM and ash. Carbohydrate was calculated as the difference between the percentages of OM, CP, and EEs. The neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined using the method of Van Soest et al. (1991).

Nutritional value of forages

The nutritional value of each forage species identified (energy and protein value) was estimated from the chemical composition. This research used the French system for assessing forage nutritive value initially developed in the 1970s by the “Institut National de la Reserche Agronomique” (commonly known as INRA, and since 2020 renamed INRAE—National Research Institute for Agriculture, Food, and the Environment). The system has been refined over several decades and has been described by Colin-Schoellen et al. (2000). Effectively, the system rates the nutritive value of a feed compared to the feed value for ruminants of 1-kg barley, with separate calculations, depending on whether the feed is consumed by ruminants for milk or meat production, and considering a range of feed quality criteria including estimated dietary protein utilization.

The energy value of forages was calculated as the forage unit for lactation (UFL) and the forage unit for meat production (UFV) from the following equations (Sauvant et al., 1995):
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Estimation of digestible protein for a forage requires knowledge of the theoretical degradability of its nitrogen content in the rumen (DT) and the actual digestibility of the proteins in the intestine (dr), in addition to its CP and OM contents. The digestible proteins in the small intestine correspond to the PDIE (protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-fermented OM) and PDIN (protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-degraded dietary protein) values using the following equations (INRA, 2007):
urn:x-wiley:2097051X:media:glr212051:glr212051-math-0002()
Knowing that (Zirmi-Zembri & Kadi, 2016)
urn:x-wiley:2097051X:media:glr212051:glr212051-math-0003()
where for green forage DT = 0.73 and dr = 0.75, PDIA denotes digestible protein in the small intestine supplied by rumen-undegraded dietary protein, PDIMN denotes microbial protein digested in the small intestine when rumen-fermentable N is limiting, PDIME denotes microbial protein digested in the small intestine when rumen-fermentable energy is limiting, FOM denotes fermentable OM, and OMD denotes OM digestibility (% DM).

Statistical analysis

The identified forage species were subjected to hierarchical ascending classification (HAC). This method allows classification of individuals into groups with common characteristics in a dendrogram. Data on the chemical composition and nutritional value were subjected to a one-way analysis of variance (ANOVA) to compare forage species and their groups. Duncan's test at a 5% significance level was used for mean separation. The software SPSS 20.0 was used to perform ANOVA (SPSS, 2020), and HAC was performed using the XLSTAT 25.1 (XLSTAT, 2021) software package.

RESULTS

Chemical composition and nutritional value of forage species

In the WHC, 22 forage species belonging to 11 botanical families were identified: Poaceae (8), Fabaceae (5), Convolvulaceae (1), Myrtaceae (1), Malvaceae (1), Meliaceae (1), Euphorbiaceae (1), Asparagaceae (1), Asteraceae (1) Musaceae (1), and Lauraceae (1) (Table 1). Tables 2 and 3 summarize the chemical composition and nutritive values of the forages, respectively. The highest protein (29.43% ± 0.45% DM) and PDIN (18.48 ± 1.45 g kg−1 DM) contents were recorded in Vernonia amygdalina, while the highest NDF (87.21% ± 1.33% DM) and PDIE (109.03 ± 3.27 g kg−1 DM) contents were recorded in Pennisetum clandestinum and Manihot esculenta, respectively. DM, OM, and protein contents ranged from 84.61% to 92.23%, 71.77% DM to 86.77% DM, and 12.31% DM to 23.49% DM, respectively. Apart from Imperata cylindrica, Cynodon dactylon, Digitaria ciliaris, and Entandrophragma cylindricum, all the studied forages had UFL and UFV values greater than 0.70 UF kg−1 DM.

Table 1. Names and botanical families of identified species browsed by ruminants in the Western Highlands of Cameroon.
Families Species
Asparagaceae Draceana fragrans
Asteraceae Vernonia amygdalina
Convolvulaceae Ipomoea batatas
Euphorbiaceae Manihot esculenta
Fabaceae Desmodium uncinatum
Fabaceae Desmodium intortum
Fabaceae Arachis glabrata
Fabaceae Calliandra calothyrsus
Fabaceae Centrosema pubescens
Lauraceae Persea americana
Malvaceae Sida acuta
Meliaceae Entandrophragma cylindricum
Musaceae Musa paradisiaca
Myrtaceae Psidium guajava
Poaceae Bracharia ruziziensis
Poaceae Cynodon dactylon
Poaceae Panicum maximum
Poaceae Digitaria ciliaris
Poaceae Pennisetum purpureum
Poaceae Pennisetum clandestinum
Poaceae Trypsacum laxum
Poaceae Imperata cylindrica
Table 2. Chemical composition of identified forage species.
Species DM (%) Chemical composition (% DM)
Ash OM CH EE CP CF NDF ADF
Brachiaria ruziziensis 91.29 ± 1.21a 11.48 ± 0.86b 79.71 ± 1.75c 63.46 ± 1.24b 1.20 ± 0.07e 15.07 ± 0.59e 28.35 ± 0.41b 63.02 ± 1.05c 35.38 ± 0.75d
Panicum maximum 90.94 ± 1.90a 12.26 ± 1.72b 78.85 ± 2.46c 62.27 ± 2.34b 2.90 ± 0.27d 13.86 ± 0.67e 24.90 ± 0.98c 54.40 ± 0.12d 29.06 ± 0.23f
Pennisetum purpureum 91.59 ± 0.39a 11.97 ± 1.37b 79.72 ± 1.56c 58.71 ± 1.41c 7.35 ± 0.32a 13.46 ± 0.62e 29.90 ± 1.01b 80.39 ± 1.23b 44.22 ± 1.06b
Pennisetum clandestinum 89.97 ± 0.54b 10.07 ± 0.67c 79.86 ± 1.16c 60.82 ± 1.37b 3.80 ± 0.25c 15.24 ± 0.34e 30.42 ± 0.60b 87.21 ± 1.33a 49.05 ± 2.11b
Trypsacum laxum 90.80 ± 0.72b 9.95 ± 1.43c 81.04 ± 1.69b 64.54 ± 0.64b 4.01 ± 0.15bc 12.31 ± 1.46f 31.17 ± 1.19a 71.25 ± 0.32b 40.11 ± 0.06c
Cynodon dactylon 89.80 ± 0.22b 11.8 ± 0.59b 78.04 ± 1.09c 51.15 ± 0.40d 2.70 ± 0.09d 24.15 ± 1.15b 25.87 ± 0.89c 51.20 ± 0.62d 37.15 ± 0.36d
Digitaria ciliaris 89.26 ± 0.32b 17.49 ± 0.74a 71.77 ± 1.17d 47.75 ± 0.45e 1.8 ± 0.29e 22.22 ± 0.95c 27.07 ± 0.85b 55.19 ± 0.22d 31.19 ± 0.77e
Imperata cylindrica 84.61 ± 1.12d 7.94 ± 0.47d 76.73 ± 0.17c 56.16 ± 0.35d 1.20 ± 0.20e 19.36 ± 0.81d 33.41 ± 0.25a 53.20 ± 0.12d 31.12 ± 0.46e
Desmodium uncinatum 91.93 ± 0.92a 7.55 ± 0.28d 84.38 ± 1.20ab 58.9 ± 1.37c 3.32 ± 0.05c 22.13 ± 0.36c 16.47  ± 0.99d 57.56 ± 2.01d 32.04 ± 1.64e
Desmodium intortum 91.82 ± 1.93a 9.56 ± 1.20c 82.61 ± 1.82b 56.20 ± 1.57c 4.99 ± 0.21b 21.42 ± 0.27c 22.56 ± 0.98c 65.33 ± 0.12c 39.26 ± 1.08c
Calliandra calothyrsus 92.23 ± 0.60a 5.63 ± 0.98e 86.77 ± 1.03a 63.34 ± 1.24b 1.30 ± 0.11e 22.10 ± 0.29c 21.09 ± 0.68c 23.37 ± 1.31f 18.34 ± 0.05f
Centrosema pubescens 88.27 ± 0.13c 9.34 ± 1.25c 78.93 ± 1.02c 42.61 ± 1.27e 8.5 ± 0.18a 27.82 ± 0.31b 18.36 ± 0.51d 51.33 ± 0.22d 40.06 ± 1.08c
Arachis glabrata 90.4 ± 0.96b 9.6 ± 1.57c 80.8 ± 1.22b 52.78 ± 1.67d 3.00 ± 0.08d 25.02 ± 0.28b 23.31 ± 0.18c 45.33 ± 0.52e 29.23 ± 1.18e
Ipomoea batatas 88.76 ± 1.35c 12.19 ± 1.80b 76.69 ± 0.96c 49.41 ± 1.01de 5.67 ± 0.34b 21.80 ± 0.74c 12.76 ± 0.94e 80.08 ± 1.09b 60.87 ± 2.01a
Sida acuta 90.20 ± 1.13b 9.78 ± 0.11c 80.45 ± 1.18b 52.14 ± 0.87d 5.74 ± 0.10b 22.55 ± 0.35c 15.75 ± 0.21d 30.12 ± 0.61f 17.46 ± 0.30f
Manihot esculenta 91.97 ± 1.64a 9.16 ± 1.03c 82.51 ± 1.79b 54.69 ± 2.47d 8.11 ± 0.06a 20.15 ± 1.89d 12.50 ± 0.47e 83.33 ± 1.01a 53.14 ± 1.19b
Entandrophragma cylindricum 89.11 ± 0.62b 7.97 ± 1.13d 81.14 ± 1.01ab 66.47 ± 1.97a 1.20 ± 0.11e 13.47 ± 1.21f 29.10 ± 0.37b 59.31 ± 0.11c 38.99 ± 1.31d
Psidium guajava 90.78 ± 0.25b 5.72 ± 0.03e 85.05 ± 1.79a 67.46 ± 1.37a 1.10 ± 0.10e 16.49 ± 1.11e 19.49 ± 0.54d 68.31 ± 1.01b 45.14 ± 0.19c
Draceana fragrans 88.45 ± 0.15c 11.48 ± 0.33b 76.97 ± 1.53c 45.71 ± 1.27e 5.86 ± 0.18b 25.4 ± 0.18b 26.44 ± 0.64bc 69.01 ± 0.01b 35.18 ± 0.09d
Musa paradisiaca 90.35 ± 0.16b 10.97 ± 0.84b 79.38 ± 1.11c 54.58 ± 1.07d 1.40 ± 0.42e 23.39 ± 0.28c 24.83 ± 0.16c 68.19 ± 0.12b 49.15 ± 0.25b
Vernonia amygdalina 89.26 ± 0.15b 12.06 ± 0.14b 77.21 ± 1.23c 42.23 ± 1.72e 5.54 ± 0.23b 29.43 ± 0.45a 16.38 ± 0.36d 58.19 ± 0.25c 38.51 ± 0.29d
Persea americana 91.26 ± 1.05a 7.36 ± 0.61d 83.87 ± 1.89ab 67.06 ± 1.02a 1.54 ± 0.77e 15.31 ± 0.11e 22.99 ± 0.86c 63.10 ± 0.39b 35.75 ± 0.62d
  • Note: Means followed by different letters within a column are significantly different (p < 0.05).
  • Abbreviations: ADF, acid detergent fiber; CF, crude fiber; CH, carbohydrates; CP, crude protein; DM, dry matter; EE, ether extract; NDF, neutral detergent fiber; OM, organic matter.
Table 3. Nutritive value of identified forage species.
Species Energy (UF kg−1 DM) Estimated protein (g kg−1 DM)
UFL UFV PDIN PDIE
Arachis glabrata 0.78 ± 0.61d 0.86 ± 0.04c 15.71 ± 1.31b 51.94 ± 1.02f
Brachiaria ruziziensis 0.74 ± 0.01d 0.64 ± 0.01d 9.46 ± 0.37d 47.60 ± 2.04f
Calliandra calothyrsus 0.88 ± 0.01c 0.81 ± 0.01c 13.88 ± 0.18c 71.23 ± 3.76d
Centrosema pubescens 0.95 ± 0.44b 1.02 ± 0.16c 17.41 ± 0.52a 66.55 ± 1.33e
Cynodon dactylon 0.46 ± 0.21f 0.54 ± 0.19f 12.96 ± 1.29c 33.62 ± 1.45g
Desmodium intortum 0.90 ± 0.02b 0.82 ± 0.02c 13.45 ± 0.17c 62.91 ± 4.39e
Desmodium uncinatum 0.99 ± 0.02b 0.93 ± 0.02b 13.89 ± 0.23c 89.64 ± 5.07c
Digitaria ciliaris 0.68 ± 0.17e 0.77 ± 0.64d 13.95 ± 1.17c 36.95 ± 0.55g
Draceana fragrans 0.74 ± 0.15d 0.84 ± 0.13c 15.95 ± 1.03b 36.39 ± 0.81g
Entandrophragma cylindricum 0.62 ± 0.28e 0.72 ± 0.14c 8.46 ± 1.45d 48.30 ± 1.82f
Imperata cylindrica 0.53 ± 0.24f 0.64 ± 0.37d 12.16 ± 0.35c 18.38 ± 0.61h
Ipomoea batatas 1.08 ± 0.02a 1.04 ± 0.02a 13.69 ± 0.46c 97.58 ± 3.74b
Manihot esculenta 1.12 ± 0.01a 1.08 ± 0.01a 12.65 ± 1.19c 109.03 ± 3.27a
Musa paradisiaca 0.72 ± 0.23d 0.81 ± 0.05c 14.69 ± 1.22b 47.65 ± 0.84f
Panicum maximum 0.82 ± 0.02b 0.74 ± 0.02d 8.70 ± 0.42d 63.54 ± 5.12e
Pennisetum clandestinum 0.73 ± 0.01d 0.63 ± 0.01d 9.57 ± 0.22d 39.17 ± 2.61g
Pennisetum purpureum 0.78 ± 0.02d 0.68 ± 0.02d 8.45 ± 0.39d 44.03 ± 4.53f
Persea americana 0.76 ± 0.25d 0.83 ± 0.67c 9.61 ± 1.69d 73.38 ± 1.84bf
Psidium guajava 0.83 ± 0.15b 0.89 ± 0.23c 10.36 ± 0.89d 87.81 ± 1.17c
Sida acuta 1.03 ± 0.10a 0.98 ± 0.56b 14.16 ± 0.22b 88.39 ± 1.19c
Trypsacum laxum 0.72 ± 0.02d 0.61 ± 0.03d 7.73 ± 0.92e 41.12 ± 4.31f
Vernonia amygdalina 0.96 ± 0.29b 1.02 ± 0.35a 18.48 ± 1.45a 70.53 ± 1.88d
  • Note: Means followed by different letters within a column are significantly different (p < 0.05).
  • Abbreviations: DM, dry matter; PDIE, protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-fermented organic matter; PDIN, protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-degraded dietary protein; UFL, forage unit for lactation; UFV, forage unit for meat production.

Classification of forage species

The dendrogram (Figure 2) grouped forage species so as to maximize dissimilarity between groups. On the horizontal axis, represented by a dotted line on the dendrogram, there are three groups: group 1 (G1), group 2 (G2), and group 3 (G3). Table 4 presents the description of the different groups of forages according to their number, species, and botanical family.

Details are in the caption following the image
Hierarchical classification of forage species. Ag, Arachis glabrata; Br, Brachiaria ruziziensis; Cc, Calliandra calothyrsus; Cd, Cynodon dactylon; Cp, Centrosema pubescens; Dc, Digitaria ciliaris; Df, Draceana fragrans; Di, Desmodium intortum; Du, Desmodium uncinatum; Ec, Entandrophragma cylindricum; Ib, Ipomoea batatas; Ic, Imperata cylindrica; Me, Manihot esculenta; Mp, Musa paradisiaca; Pa, Persea americana; Pc, Pennisetum clandestinum; Pg, Psidium guajava; Pm, Panicum maximum; Pp, Pennisetum purpureum; Sa, Sida acuta; Tl, Trypsacum laxum; Va, Vernonia amygdalina.
Table 4. Description of different forage groups.
Groups Number Species Botanical family
G1 6 Persea americana, Pennisetum purpureum, Pennisetum clandestinum, Panicum maximum, Bracharia ruziziensis, Trypsacum laxum Lauraceae, Poaceae, Poaceae, Poaceae, Poaceae, Poaceae
G2 9 Centrosema pubescens, Draceana fragrans, Arachis glabrata, Vernonia amygdalina, Imperata cylindrica, Ipomoea batatas, Digiatria ciliaris, Cynodon dactylon, Musa paradisiaca Fabaceae, Asparagaceae, Fabaceae, Asteraceae, Poaceae, Convolvulaceae, Poaceae, Poaceae, Musaceae
G3 7 Sida acuta, Calliandra calothyrsus, Entandrophragma cylindricum, Manihot esculenta, Psidium guajava, Desmodium uncinatum, Desmodium intortum Malvaceae, Fabaceae, Meliaceae, Euphorbiaceae, Myrtaceae, Fabaceae, Fabaceae

Results of hierarchical classification of forage species were obtained, identifying three groups based on a criterion of maximum dissimilarity between groups. Chemical composition and nutritional value data for the three groups are presented in Table 5.

Table 5. Average chemical composition and nutritional values for the three forage groups.
Item Group 1 Group 2 Group 3 p Value
Chemical composition
DM 90.97 ± 0.56b 88.79 ± 1.74c 94.14 ± 1.16a 0.040
Ash 10.51 ± 1.82a 11.43 ± 2.69a 7.91 ± 2.72b 0.016
OM 80.50 ± 1.78a 77.59 ± 2.62b 83.27 ± 2.24a 0.001
CH 62.81 ± 2.71a 49.15 ± 5.00c 59.88 ± 5.97b 0.001
CP 11.91 ± 5.19c 24.28 ± 3.08a 19.75 ± 3.46b 0.001
EE 6.15 ± 3.58 3.96 ± 2.52 4.39 ± 3.47 0.445
CF 27.95 ± 3.29a 23.15 ± 6.30b 19.56 ± 5.42c 0.037
NDF 69.89 ± 12.20 59.08 ± 11.09 55.33 ± 21.33 0.236
ADF 38.92 ± 7.09 39.16 ± 10.11 34.91 ± 13.29 0.696
Nutritional value
UFL 0.75 ± 0.03b 0.71 ± 0.16c 0.97 ± 0.10a 0.001
UFV 0.68 ± 0.08c 0.80 ± 0.15b 0.93 ± 0.10a 0.008
PDIN 8.92 ± 0.75c 14.41 ± 3.01a 13.15 ± 1.32b 0.001
PDIE 51.47 ± 13.81b 45.59 ± 18.81c 86.65 ± 15.46a 0.001
  • Note: Means followed by a different letter within a row are significantly different (p < 0.05).
  • Abbreviations: ADF, acid detergent fiber; CF, crude fiber; CH, carbohydrates; CP, crude protein; DM, dry matter; EE, ether extract; NDF, neutral detergent fiber; OM, organic matter; PDIE, protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-fermented organic matter; PDIN, protein digestible in the small intestine supplied by rumen-undegraded dietary protein + protein supplied by microbial protein from rumen-degraded dietary protein; UFL, forage unit for lactation; UFV, forage unit for meat production.

Chemical composition and nutritional value of forage species groups

Table 5 presents an overview of the chemical and nutritional value of the different groups of forages. Forages in G2 are richer in protein and PDIN, but poor in PDIE (p < 0.05) compared to forages in G1 and G3. Forages in G3 had significantly higher (p < 0.05) UFL, UFV, and PDIE compared to forages in G1 and G2. Forages in G1 are, respectively, richest and poorest in CF and CP as compared to G2 and G3.

DISCUSSION

A total of 22 forage species were identified by herd owners in the WHC. This number is very much lower than the 151 and 41 forage species recorded, respectively, by Lucha and Chuyong (2016) and Pahimi et al. (2020) in the Northwest and North regions of the same country. This may be because most of the land in WHC is used for agriculture and the space reserved for livestock is made up of marginal land with very low fertility, such as the sides of mountains and the edges of roads. The forages identified were classified into groups rich in CG (G1), in protein (G2), and with high UFL (G3). The highest DM content (91.93% ± 0.92%) was recorded in D. intortum, while the lowest content was recorded in I. cylindrica (84.61% ± 1.12%). In the Doucen region of Algeria, Djennane (2016) reported DM content ranging between a maximum value of 97.89% in Plantago notata and a minimum value of 18.82% in Maresia nana. According to Vélez-Terranova et al. (2022), the DM content of forages is higher in the dry season due to the increase in the rate of evapotranspiration in the plants, thus reducing the availability of water in the leaves. In the present study, the highest content of ash (17.49%) was recorded in D. ciliaris. This result is close to the 19.86% of ash recorded in Astragalus armatus by Zirmi-Zembri and Kadi (2016) in Algeria. Since the plant can take up minerals from the soil, its ash content depends strongly on the mineralogical composition of the soil (Vélez-Terranova et al., 2022). The highest protein content (29.43% ± 0.45% DM) was recorded in V. amygdalina. Oboh (2006) stated that the leaves of V. amygdalina are rich in CP (33.3%); however, these authors warned that tannin (0.6%) and cyanide (1.1 mg kg−1) contents of this species are likely to cause toxicity symptoms, including hemolysis of erythrocytes in mammals. The maximum and minimum CF contents were recorded, respectively, in I. cylindrica (33.41% ± 0.25% DM) and M. esculenta (12.50% ± 0.47% DM). In Algeria, Djennane (2016) recorded the highest content of fiber in Launanen residifolia (47.09% DM) and the lowest in Centaurea dimerphategia (7.27% DM). The NDF values ranged from a maximum of 87.21 ± 1.33% DM in P. clandestinum to a minimum of 23.37% ± 1.31% DM in C. calothyrsus. Elsewhere, Shah et al. (2019) recorded the maximum and minimum NDF contents, respectively, in Thysanolaena maxima (79.22% DM) and Ficus semicordata (53.21% DM) in India. In the present study, the fiber content in P. clandestinum was observed to be 87.21% ± 1.33% DM, compared with 60.86% reported by Camacho-Ospina et al. (2021) for the same species in the municipality of San Miguel de Sema, Columbia. This difference may be explained by the variation in the soil composition and the physiological stage of the plants sampled. HAC revealed three main groups of forages, essentially rich in CG (G1), protein (G2), and energy (G3). G1 consisted mainly of plants belonging to the Poaceae family that are known to be generally rich in fiber (Klein et al., 2014). The CP content of studied forages in the WHC varied from 12.31% to 23.49% DM. The present result differs from the findings of Zirmi-Zembri and Kadi (2016) and Badourou et al. (2021), who, respectively, recorded values ranging from 0.70% to 28.60% DM and 5.64% to 13.13% DM for the forage species in Algeria and Benin. The protein content varied from one species to another and this can depend on the nitrogen content of the soil. Indeed, nitrogen fertilization increases the forage protein content and the quantity of biomass produced by forage plants (Tendonkeng et al., 2011).

V. amygdalina and M. esculenta were found to be very rich in PDIN and PDIE. This finding could be explained by their high levels of protein and energy, respectively. According to Baumont et al. (2009), there is a positive correlation between protein content and PDIN, and energy content and PDIE. Zirmi-Zembri and Kadi (2016) identified Calycotum spinosa as forage providing the most digestible protein (PDIN and PDIE > 200 g kg−1 DM) to ruminants. M. esculenta was a forage with very high energy content as measured by UFV (1.12 ± 0.01 UF kg−1 DM) and UFL (1.08 ± 0.01 UF kg−1 DM) in the WHC, while Zirmi-Zembri and Kadi (2016) reported Haloxylon scopariumas the forage with the highest UFL (1.5 UF kg−1 DM) and UFV (1.6 UF kg−1 DM) in Algeria. This difference can be explained by the fact that the nutritive value of forage varies from one species to another and soil factors vary from one area to another (Klein et al., 2014). According to Bouazza et al. (2012), forage is of good quality if it has CP > 10% DM and NDF < 30% DM, and of poor quality if it contains CP < 10% and NDF > 50%. A forage is considered a good energy source if it has UFL ≥ 0.7 and UFV ≥ 0.6. C. calothyrsus (CP = 22.10% ± 0.29% DM; NDF = 23.37% ± 0.12% DM) could then be considered as good-quality forage because of its high protein and low fiber contents. Forages with a high NDF (NDF > 50%) content are less digestible by the animals. In the present study, the majority of forages had more than 50% NDF. Values for NDF in this study could be expected to be comparatively high because samples were collected at the flowering stage and the fiber content increases with the physiological progression of the plant into reproductive development (Klein et al., 2014).

To improve the production performance of ruminants, it is essential to provide forages rich in nutrients necessary for the proper functioning of the rumen microorganisms. Forages from G1, G2, and G3 can also be assessed according to their potential to provide rumen microorganisms with the nutrients that they need. The energy and protein values of forages from G2 and G3 indicated that they are suitable to stimulate the proper functioning of rumen microorganisms. G1 forages, which have high fiber content, could limit ruminal digestion. In similar research, Sidi et al. (2016) recorded three groups of woody plants rich in fiber, energy, and protein in the community rangelands of Northeast Benin.

CONCLUSIONS

Twenty-two forage species palatable to ruminants in the WHC were characterized through their chemical composition and nutritional value. They were classified into groups of forages rich in CF (G1), protein (G2), and energy (G3). Further studies should be carried out to determine the antinutritional factors present and the in vitro or in situ digestibility of these forages.

AUTHOR CONTRIBUTIONS

Leslie Tieubou Tsopgni: Formal analysis; investigation; methodology; writing—original draft. Jules Lemoufouet: Methodology; supervision. Felix Meutchieye: Supervision. Langston Wilfried Edie Nounamo: Formal analysis; investigation. Camile Nyembo Kondo: Investigation. Jean Raphaël Kana: Conceptualization; methodology; supervision; validation. Mama Mouchili: Formal analysis; supervision. Back Armel Feudjio: Investigation.

ACKNOWLEDGMENTS

The authors would like to acknowledge the staff of the Animal Production and Nutrition Research Unit from the University of Dschang for their assistance during the chemical composition analysis and the processing of data.

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflicts of interest.

    DATA AVAILABILITY STATEMENT

    Data generated or analyzed during this study are available from the corresponding author upon reasonable request.

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