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RESEARCH ARTICLE (Open Access)

Exploring tropical forage options that optimize animal production and reduce methane emissions in mixed crop–livestock systems in Ethiopia

Shimelis Gizachew Raji A , Bimrew Asmare B , Yohannes Ewunetu B , Tesema Dangura C , Marit Jørgensen D and Yonas Berhanu https://orcid.org/0000-0002-9605-1253 C *
+ Author Affiliations
- Author Affiliations

A School of Plant and Horticultural Sciences, Hawassa University, Hawassa, Ethiopia.

B Department of Animal Sciences, Bahir Dar University, Bahir Dar, Ethiopia.

C School of Animal and Range Sciences, Hawassa University, Hawassa, Ethiopia.

D Department of Grassland and Livestock, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.

* Correspondence to: yonasb@hu.edu.et

Handling Editor: Christian Huyghe

Crop & Pasture Science 76, CP25085 https://doi.org/10.1071/CP25085
Submitted: 9 April 2025  Accepted: 27 July 2025  Published: 27 August 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Tropical forages can improve livestock productivity while reducing methane emissions in smallholder croplivestock systems.

Aims

This study evaluated forage mass, forage quality, methane mitigation potential of 12 tropical species at two contrasting sites in the Ethiopian highlands: Hawassa in the south and Bahir Dar in the north.

Methods

Field experiments were conducted from 2021 to 2023, with two to four cuts per year by using a randomized complete block design. Plant samples were also evaluated for chemical composition and in vitro methane production.

Key results

Results showed significant site-specific variations, with desho grass (Pennisetum pedicellatum) demonstrating consistently high forage mass production (27.3 Mg ha−1 at Hawassa; 17.58 Mg ha−1 at Bahir Dar) across these environments. Legumes, particularly sunnhemp (Crotalaria juncea L.) and lablab (Lablab purpureus L.), exhibited the highest crude protein yield (590–1300 kg ha−1 year−1) but lower forage production, highlighting their role as supplemental feed sources. Methane mitigation potential also exhibited variations, with lablab, Mombasa (Megathyrsus maximus) and desho producing the lowest emissions (<16%), whereas high-emission species such as Greenleaf desmodium (Desmodium intortum) (>27%) warrant further evaluation.

Conclusions

The study identified desho and Mombasa as promising options for site-specific forage development because of their dual benefits of productivity and in vitro methane mitigation. Legumes such as sunnhemp and lablab are recommended as high-quality supplements to existing feeding strategies.

Implications

These findings have provided actionable insights for extension officers, policy makers and researchers seeking to balance livestock productivity with environmental sustainability in Ethiopian highlands. Future research should focus on validating methane mitigation potential under in vivo conditions and addressing challenges in legume establishment.

Keywords: Ethiopian highlands, forage mass, forage quality, grasses, legume establishment, legumes, methane mitigation, protein yield.

Introduction

Mixed crop–livestock systems, practiced on landholdings as small as 0.5−1 ha, predominate in the Ethiopian highlands (FAO 2018), home to over 80% of the country’s population and 90% of its ruminant livestock (CSA 2017). Improving productivity of livestock in these production systems could augment food availability, reduce environmental impact and facilitate economic growth. However, a major challenge to livestock productivity in mixed livestock systems in Ethiopia is how to increase forage supply and quality. Concentrates are also unavailable to most farmers (Balehegn et al. 2020); therefore, the demand for high-quality, productive and adapted forages is high.

Over the past five decades, a number of improved grasses were identified and released for their fodder provision and erosion control (Assefa et al. 2012; Mengistu et al. 2017). Many of these (e.g. Pennisetum and Panicum spp.) are adapted to suboptimal environments (e.g. drought, frost or waterlogging tolerance) (Mengistu et al. 2017). These forages are generally higher yielding than the naturally occurring forage plants and have higher nutritional value. Legumes have also been considered as potential forage crops, and in addition to their benefits, such as N-fixation and soil regeneration, legumes also produce high-quality feed. Similar to the grasses, research efforts have focused on identifying and selecting legumes adapted to different regions of the country and for different purposes. Desmodium and Stylosanthes spp. stand out among the widely studied legume species in Ethiopia.

Yet on-farm adoption of forage remains very limited. Use of improved forages represents just 0.31% of the total livestock diet (CSA 2017). The number and variety of forage species used by the farmers is also limited. Such low adoption is due in part to limited species appropriate to different agro-ecological zones, and some promoted species produce low yields and are poorly adapted to production environments (Assefa et al. 2012; Balehegn et al. 2020).

Therefore, investigating new and/or lesser-known species and varieties/cultivars capable of producing high-biomass of quality forage and decrease methane (CH4) production in ruminants is particularly important to develop new sources of feed (Makkar 2016; Paul et al. 2020). Ethiopia has few forage breeding programs, which today cover a limited number of species (Mengistu et al. 2018). The country still needs to benefit from evaluating and selecting from the wealth of tropical forage grass/legume germplasm to improve existing feeding strategies (Hanson et al. 2020; Negawo et al. 2024). Identifying suitable forage options that can improve animal productivity and simultaneously contribute to mitigating CH4 emissions is particularly crucial in Ethiopia where CH4 production from ruminant production systems is high because it contributes 43% to anthropogenic greenhouse-gas emissions (CRGE 2010). The production systems are also inefficient, largely owing to poor nutrition. The CH4 emission intensity (CH4 per unit product) in Ethiopia and other eastern African countries is four times greater than the global average (Balehegn et al. 2021).

This study evaluates the performance of eight improved tropical grasses and four forage legumes in terms of in vitro CH4 mitigation potential, forage mass, and nutritional characteristics over several growing seasons at two contrasting sites in the highlands of Ethiopia: Hawassa and Bahir Dar. Results from on-station trials and in vitro experiments were used to identify the most promising species or cultivars suited for enhancing feed production in the mixed crop–livestock systems in the Ethiopian highlands.

Materials and methods

Experimental sites

Field experiments were conducted for two consecutive years (2021/2022–2022/2023) at the Experimental Farm of the School of Plant and Horticultural Sciences of Hawassa University in Hawassa (7°3.02′N, 38°30.31′E, 1712 m asl) in the south and at the Research Farm of Bahir Dar University (11°24.03′N, 37°8.45′E, 1983 m asl) in Bahir Dar in the north of Ethiopia. The Bahir Dar site is within the tepid moist mid-highlands agro-ecological zone in the northern-central highlands, whereas the Hawassa site is within the tepid subhumid mid-highlands agro-ecological zone in the southern highlands (MoA 1998; Elias 2016). Rainfall distribution at the Hawassa site is bimodal, with most (≈80%) occurring in the main rainy season (June–October) and 20% in the short rainy season (April–May). The mean annual rainfall is 961 mm. The average monthly maximum and minimum temperatures in Hawassa were 27.4°C and 12.9°C respectively (Raji and Dörsch 2020). The soil is a loam, with a pH of 6.6, organic C 1.8%, total N 0.12%, and available P 120 mg kg−1 (Mehlich 3 method). The Bahir Dar site receives a unimodal type of rainfall with a mean annual rainfall of 1395 mm that falls between June and September. The average monthly maximum and minimum temperatures of the area were 29.2°C and 9.5°C respectively. The soil is a silty loam, with a pH of 5.6, organic C 1.9%, total N 0.2%, and available P 1.7 mg kg−1.

Evaluation of forage production and crude protein yield

Eight improved tropical grasses and four species of forage legumes were evaluated (Table 1). Species selection was based on their performance at other sites with similar environmental conditions, and international and local experts’ opinion. Of the 12 forage crops, only desho grass (Pennisetum pedicellatum) and lupin (Lupinus angustifolius) are grown locally by farmers. Seeds were acquired from ILRI (Ethiopia). Cuttings of desho grass were obtained from smallholder farms in Central Ethiopia Regional State for the Hawassa site and the planting materials for desho and lupin were sourced from Bahir Dar University for the other site. Three replicate plots (4 × 4 m2) of each of the forage crops were laid in a randomized complete block design. All the plots were established in June 2021 and maintained for the entire study period. The plots were fertilized with 100 kg NPS (19 kg N, 38 kg P and 7 kg S ha−1) at sowing. The annual legumes were resown each year during the long rain, except in 2021 at Hawassa, where they were resown during the short rain as well. The legume Stylosanthes guianensis (cv. Ubon) failed to establish at both sites and was therefore replaced by lupin in 2022. All plots were hand-weeded and received no fertilizer after establishment.

Table 1.List of forage crops used in the experiment, including scientific and common names, cultivar, and sowing rate.

SpeciesCultivar (or common name)Sowing rate (kg ha−1/plants ha−1)Row spacing (cm)Plant categorySite
Grasses
Megathyrsus maximusMombasa6 kg ha−150PerennialH,BD
Urochloa brizanthaXaraes8 kg ha−150PerennialH
U. hybridsMulato II8 kg ha−150PerennialH
Cayman8 kg ha−150PerennialH,BD
Basilisk8 kg ha−150PerennialH
Cobra8 kg ha−150PerennialBD
Camello8 kg ha−150PerennialBD
Pennisetum pedicellatum(Desho)40,000 plants ha−150PerennialH,BD
Legumes
Lablab purpureus L.(Lablab)18–20 kg ha−150AnnualH,BD
Desmodium intortum(Greenleaf desmodium)3 kg ha−150PerennialH,BD
Crotalaria juncea L.(Sunnhemp)400,000 plants ha−150AnnualH,BD
Lupinus angustifolius(Lupin)100 kg ha−150AnnualH,BD
Stylosanthes guianensisUbon5 kg ha−150PerennialH,BD

H, Hawassa; BD, Bahir Dar.

Excluding one cut conducted in the first year at the Bahir Dar site, two to four cuts per season were performed. Sampling was undertaken when most plots reached 50% flowering stage at the first cut (for both annuals and perennials), and with an interval of about 100 days between the subsequent cuts for the latter. Herbage yield was determined at final harvest for the three annual legumes lablab, lupin and sunnhemp. The harvest was done manually at a stubble height of 7 cm. All aboveground forage mass from the central 1 m2 quadrats of the plots was weighed fresh, and a subsample of 1 kg was taken for each plot, and then air dried at ambient temperature to constant weight for determination of herbage dry-matter (DM) yield. Additionally, in the 2023 main rainy season, fresh subsamples of 0.5 kg were oven-dried at 65°C for 48 h, then ground through a 1 mm sieve for chemical analyses and in vitro CH4 determination. Dry-matter yield (Mg DM ha−1) was summed to annual values for the perennial crops involving multiple cuts, whereas it was averaged for the annuals involving resowing (sown in both short and long rains in the same year) of each year. These yields were used to compute mean annual forage mass production across the two years of the study. Crude protein yield (kg ha−1 year−1) for each species was estimated by multiplying the DM yield of each with the corresponding N content (see below) and a conversion factor of 6.25.

Chemical analyses

Plant samples were analysed for DM, ash and crude protein (6.25 × %N) according to AOAC Methods 930.15, 942.05 and 976.05 respectively (AOAC 1990), and for neutral detergent fiber (NDF), acid detergent fiber (ADF) and acid detergent lignin (ADL) according to Van Soest et al. (1991). All samples were analysed in duplicate. Chemical analyses and in vitro studies were conducted at the Animal Nutrition Laboratory of Hawassa University.

In vitro studies

The method of Menke et al. (1979) modified by Blümmel and Ørskov (1993) in that feeds were incubated in a thermostatically controlled water bath was employed to determine in vitro CH4 production. The samples were incubated with buffered rumen fluid in calibrated glass syringes (100 mL) in two separate runs (replicates) and comprised two syringes for each replicate. All syringes were pre-warmed overnight at 40°C. In each syringe, about 200 mg of a ground sample plus 30 mL of the buffered rumen fluid were incubated at 39°C (Menke et al. 1979). The rumen fluid collected from two sheep using oral stomach tube (Muizelaar et al. 2020) fed native grass hay (given ad libitum) plus 400 g concentrate (offered in two meals daily) was strained using gauze and then mixed (1:2, v/v) with anaerobic buffer solution before use. Two blanks were included for correction of CH4 produced from the inoculum in each run. The syringes were shaken manually every hour for the first 8 h and three times daily at later times. Gas volume readings were taken before incubation (0 h) and at the end of incubation (48 h). Total gas values were corrected for blank incubation (containing only the rumen fluid). However, due to lack of reference standard with known gas values (expected gas production) for calibration in Ethiopia, the gas production values were not compared with a ‘standard feed’. Hence, gas production results should be interpreted with that in mind.

Methane measurement

After 48 h incubation, the gas production of the feed samples was immediately recorded, and it was corrected using the blanks (see the previous section). As an alternate to gas chromatography, the CH4 at the end of the incubation was measured using the CO2 trap method as described in Fievez et al. (2005). After measuring the total gas production, 4 mL of NaOH (10 M) was introduced into the vessel via a connector (silicon tube) fitted between a syringe containing NaOH solution and the incubation syringe, which will cause absorption of the CO2. Because the contribution of other gases to gas production is negligible, the remaining gas was considered to be CH4 (Pell and Schofield 1993; Mathison et al. 1998; Fievez et al. 2005). The CH4 production was reported in grams per kilogram of incubated DM, and as a proportion of the total gas recorded at the end of incubation. Methane production was calculated as:

(1)CH4 (g kg-1 DM)=CH4 (mL g1 DM)/22.4 (L mol1)×16.04 (g mol1)

The proportion of CH4 was determined as:

(2)Net CH4 production/Net gas production×100

Statistical analysis

ANOVA was performed on annual forage mass production and crude protein yield, nutrient concentration, and in vitro gas and CH4 productions with forage species as the main factor (fixed effect; block treated as a random variable) by using a general linear model (GLM) of IBM SPSS Statistics (version 20). Although non-significant, blocks were kept in the model (Frey et al. 2024). Tukey’s test (at P = 0.05) was used to make multiple comparisons among species. Pearson correlation was used to detect the relationship between chemical composition and CH4 production. Because not all forage crops were grown in both locations, the analysis was performed separately for each site. However, because we were most interested in identifying forage species or cultivars with consistent, high average production, a combined analysis of production data over years at each site was conducted. Xaraes was excluded from the analysis for the Bahir Dar site as there was no yield from any of the replicates. However, because of the limited resources available, the analysis of promising species for forage quality and CH4 mitigation was restricted to a one-time measurement only, which we assumed a limitation in fully assessing their long-term potential. Candidates for CH4 abatement considered were those that produced less than or equal amount (i.e. expressed as a percentage of total gas production) of CH4 to the average CH4 across all plants minus one standard deviation. All data were analyzed using SPSS ver. 20.

Results

Forage mass production

Forage mass production (averaged across years) showed significant (P < 0.05) differences among the test species at both sites (Table 2). Overall, the native grass desho had the highest forage production compared with the other species tested at both sites, but the most productive forage species varied across the sites. At Hawassa, for example, the production of desho (27.30 Mg ha−1) was similar (P > 0.05) to those of Basilisk and Xaraes, whereas there was even no measurable biomass obtained from Xaraes (as it failed to establish) in the Bahir Dar site. Here, the highest herbage production was obtained for desho (17.58 Mg ha−1) and the lowest for lablab (3.88 Mg ha−1).

Table 2.Mean forage production of tested species (averaged over 2 years, 2021–2023) at Hawasssa and Bahir Dar, Ethiopia.

Species/cultivarHawassaBahir Dar
Dry forage mass (Mg ha−1)
Grasses
 Mombasa20.87 (2.56)ab12.77 (0.61)a
 Xaraes22.39 (2.18)ang
 Mulato II16.96 (1.18)abnt
 Cayman16.61 (1.90)abc11.41 (0.28)a
 Basilisk26.90 (2.98)ant
 Cobrant11.02 (0.36)a
 Camellont11.02 (0.54)a
 Desho27.30 (3.91)a17.58 (0.78)
Legumes
 Lablab5.65 (0.70)bc3.88 (0.16)c
 GD18.01 (3.76)ab10.92 (0.30)a
 Sunnhemp5.74 (0.67)bc6.12 (0.27)b
 Lupin2.09 (0.37)c4.59 (0.47)bc
P-value<0.001<0.001

Within a column, means followed by different letters are significantly different (Tukey’s test, P < 0.05). P-values for treatment comparisons at each site are presented below each set of means. Standard error of the mean is given in parentheses.

ng, seed did not germinate; nt, was not tested on the site; GD, greenleaf desmodium.

Chemical composition, in vitro gas and methane production

Chemical composition, gas and CH4 yield (g kg−1 DM incubated) of forage species used in the study varied somewhat at each site. In Hawassa, the highest crude protein (CP) content was obtained for lablab and Greenleaf desmodium/sunnhemp (21.12% and 16.98%/16.53% of DM respectively (with no significant difference between Greenleaf desmodium and sunnhemp; P > 0.05, Table 3)) and the lowest for desho (4.87%) (but this value was similar (P > 0.05) to those for Basilisk, Mombasa and Cayman). The CP in two-thirds of the test species were above the recommended minimum level of 7% for ruminant feeds, below which intake is usually decreased and rumen function affected (Van Soest 1994). At Bahir Dar, the CP ranged from 4.95% to 21.22% of DM and was highest in sunnhemp. Here, the concentrations of CP in five species were above the threshold level of 7%. In Hawassa, ash content ranged from 8.5% to 14.24% of DM and was lowest in Greenleaf desmodium/sunnhemp (sunnhemp was not significantly different from Greenleaf desmodium), whereas the ash content at the Bahir Dar site ranged between 9.42% and 18.2% of DM respectively, and was lowest (P < 0.05) in sunnhemp. At Hawassa, the NDF values for most of the species (8 of 10) were below or equal to 60% and in Bahir Dar there were four species that had NDF concentrations below this threshold.

Table 3.Chemical composition, in vitro gas and CH4 production of the studied forages.

SiteSpecies/ cultivarChemical components (% of DM)Gas yieldCH4 yieldCH4:total gas (%)
AshCPNDF(g kg−1 DM)
HawassaGrasses
Mombasa14.24b5.90c60.17d1091.93cd162.50ab14.90a
Xaraes12.39b7.53bc60.43d1056.72c173.21ab16.39ab
Mulato-II13.51b8.60b57.27d747.59a143.75a19.23c
Cayman13.63b7.40c55.91d712.82a146.43a20.55c
Basilisk11.67b5.62c61.65de856.25a158.93a18.58bc
Desho13.12d4.87c66.76e1234.09d190.18b15.43ab
Legumes
Lablab11.32ab21.1240.40a1051.45bc146.43a13.97a
GD8.90a16.98a51.27cd884.59ab150.90a17.07abc
Sunnhemp8.50a16.53a45.59ab1065.39cd162.50ab15.25ab
Lupin13.20b8.50b49.46bc1024.84bc160.72ab15.69ab
Mean12.1010.3054.90972.57159.5516.70
s.e.m.2.105.608.1436.663.310.48
P-value0.03<0.001<0.001<0.0010.002<0.001
Bahir DarGrasses
Mombasa14.984.95d71.84b790.23ab177.6822.68
Cayman16.245.89cd66.73b865.77b154.1617.80
Cobra18.206.35cd67.45b803.98ab188.4023.70
Camello13.79c5.14d71.37b863.81b208.0424.59
Desho12.83c7.20c70.24b1072.09c164.8815.38
Legumes
Lablab9.63ab15.25b48.91a954.74bc151.7915.91
GD9.86ab19.38a52.67a648.70a188.3929.03
Sunnhemp9.42b21.22a47.97a820.43ab216.0826.50
Lupin10.58a14.18b47.03a824.80ab183.9322.31
Mean12.8311.1060.50849.39181.4821.99
s.e.m.3.116.3010.8027.868.221.44
P-value<0.001<0.001<0.0010.0010.6950.302

Within columns, means followed by different letters are significantly different (Tukey’s test, P < 0.05). P-values for treatment comparisons at each site are presented below each set of means.

DM, dry matter; CP, crude protein; NDF, neutral detergent fiber; GD, Greenleaf desmodium; s.e.m., standard error of the mean.

The total gas yield in Hawassa varied widely, from 712.82 to 1234.1 g kg−1 DM, with the lowest being for the grass Cayman and the highest for desho (Table 3). The lowest CH4 yield was recorded in Mulato II (143.75 g kg−1 DM; this value was similar to those for Cayman, Basilisk, lablab or Greenleaf desmodium) and the highest value in desho (190.18 g kg−1 DM). Methane as a proportion of the total gas yield varied among plants from 13.97 (in lablab) to 20.55% (in Cayman). Most of the other species were clustered, with a proportion CH4 to total gas production of 15.43–17.07%. At this site, across all plants, the average CH4 proportion (% CH4 in total gas yield) was 16.70 (s.d. ± 2.16)%. Therefore, the promising plants (for their CH4 production reduction potential) were those that produced CH4 of ≤14.54%. These plants were lablab (13.97%) and Mombasa (14.90%; this value was similar to that recorded for lablab). In Bahir Dar, the lowest total gas yield was recorded for Greenleaf desmodium (648.70) and the highest value for desho (1072.09 g kg−1 DM). Both CH4 yield (P ≥ 0.695) and the proportion of CH4 emission to total gas production did not differ among test species at this site (P ≥ 0.302; Table 3). At this site, across all plants, the average amount of CH4 produced as a percentage of total gas production was 21.99 (s.d. ± 6.12)%.

Crude protein yield

The CP yield (kg ha−1 year−1) showed variations among species in both sites, but it was overall higher for the legumes than grasses (Fig. 1). In Hawassa, the mean CP yield ranged from 177.70 to 1197 kg ha−1 year−1 and was highest in lablab, whereas the CP yield at the Bahir Dar site ranged between 188 to 1300 kg ha−1 year−1 and was highest in sunnhemp.

Fig. 1.

Mean crude protein yield (kg ha−1 year−1). Bars respresent standard error of the mean. Species/cultivars with different or no letters within a site are significantly different (Tukey’s test, P < 0.05). GD, Greenleaf desmodium.


CP25085_F1.gif

Relationships among forage mass production, chemical composition, and in vitro gas and methane production

In Hawassa, ash was negatively correlated with CP content (r = 0.67; P < 0.01) and forage mass production (r = 0.66; P < 0.01), and positively correlated with NDF content (r = 0.47; P < 0.05) (Table 4). The CP content had a strong negative relationship with NDF (r = 0.87; P < 0.01), but was positively related to forage mass production (r = 0.63; P < 0.01). Only NDF was correlated (r = 0.54; P < 0.05) with CH4 yield, and that was a positive correlation. Total gas yield was positively correlated with CH4 yield (r = 0.73; P < 0.01), but negatively correlated with percentage of CH4 to total gas yield (r = 0.87; P < 0.01). In Bahir Dar, the ash content was negatively correlated with CP (r = 0.85; P < 0.01), and positively correlated with NDF content (r = 0.80; P < 0.01) but not with forage mass production. The correlation between CP and NDF content was also negative (r = 0.90; P < 0.01). Although the correlation between total gas and CH4 yield was negative (r = 0.77; P < 0.01), that of CH4 to total gas ratio was positive (r = 0.90; P < 0.01).

Table 4.Pearson correlation coefficient (r) matrix of chemical composition (% of DM), in vitro gas and CH4 yield and forage mass production of tested species.

SiteAshCPNDFTotal gasCH4 yieldCH4:total gas
Hawassa
 CP0.67**
 NDF0.47*0.87**
 Total gas (g kg−1 DM)0.060.040.01
 CH4 yield (g kg−1 DM)0.100.430.54*0.73**
 CH4:total gas (%)0.200.390.380.86**0.29
 Forage production (Mg ha−1)0.66**0.63**0.280.140.030.25
Bahir Dar
 CP0.85**
 NDF0.80**0.90**
 Total gas (g kg−1 DM)0.040.340.24
 CH4 yield (g kg−1 DM)0.120.190.130.42
 CH4:total gas (%)0.140.320.200.77**0.89**
 Forage production (Mg ha−1)0.190.030.250.390.320.46

DM, dry matter; CP, crude protein; NDF, neutral detergent fiber.

*P < 005; **P < 001.

Discussion

Forage production

This study was designed to evaluate the efficacy of selected improved tropical grasses and legumes for increasing forage mass production in the Ethiopian highlands. Regardless of observable numeric differences (Table 2) between the two sites (although these differences were not statistically tested, see Statistical analysis), most of the forage crops (except desho planted with cuttings, which often leads to higher initial dry-matter production than when planted with seeds) evaluated in this study demonstrated faster crop establishment and early plant growth and vigor as reflected by early biomass production (data not shown), suggesting that most of the improved materials are likely to be suitable for the study regions. Overall, averaged over the 2 years, the native grass desho performed well in terms of forage mass production (27 Mg ha−1 at Hawassa; ≈18 Mg ha−1 at Bahir Dar), but the annual legumes lupin at Hawassa (≈4 Mg ha−1) and lablab at Bahir Dar (2.1 Mg ha−1) performed the least. These wide variations in herbage yields, especially among the grass species, imply that the species under study exhibit different adaptation potentials to the study area conditions. In addition, the variability observed in top-performing forage crops across the sites highlighted that yields could be improved with location-specific species/cultivar selection. The significantly higher forage mass of the grasses desho, Basilisk and Xaraes indicated that they are suitable for enhancing forage production in the highland mixed-farming systems of southern Ethiopia, whereas the native desho is likely to be suitable for the highland mixed systems in the north. It is also important to note that these species can grow for many years (CIAT 2004; Feedipedia 2024), and even under rain-fed condition can provide several harvests per year (we note that seven to eight growth cycles for grasses were considered for data collection in this study), which would likely lead to added production benefits for risk-averse, resources-poor farmers and therefore may increase the desirability of these grasses. Although the value of early growth is a key in influencing on-farm adoption of improved forages (Philp et al. 2019; Balehegn et al. 2020), long-term productivity is essential for the success of forage crops (Vanlauwe et al. 2014; Garcia et al. 2019). Forage mass yields of most of the tested crops were generally within the expected range reported for tropical regions (Leta et al. 2013; Nguku 2015; Feedipedia 2024). However, there is little information on the B. hybrid (Cayman) with which to compare our data. The relatively low forage mass production of the crops, with even Xaraes not establishing as expected, at the Bahir Dar site is possibly due to inadequate rainfall conditions (data not shown) during establishment of the experiment and low pH and P status of the soil prevailing at the site. Poor crop establishment, especially in the early phase of establishment, under unpredictable rainfall or limited soil moisture and poor soil conditions are major obstacles to obtaining reasonable yields in many farming systems in sub-Saharan Africa (Reynolds et al. 2015). The poor establishment of Xaraes at the Bahir Dar site suggests that the cultivar may not have been well suited to the environment.

Relationship between chemical composition and methane production

The nature and amount of cell wall components are known to influence ruminal degradability and, hence, nutritive value of forages (Van Soest 1994). Even though most of the species (8 of the total examined) possessed reasonably low NDF contents (≤60%), the significant positive correlation of this fiber with CH4 yield (r = 0.54) from forages grown in Hawassa site corresponds to the commonly expected positive association between NDF and in vitro organic matter digestibility in forage plants (Jayanegara et al. 2012; Chen et al. 2016) and, consequently, CH4 production. The positive correlation of NDF with CH4 production is likely to be the result of a higher digestibility and passage rate of the NDF (Beauchemin et al. 2020) present in the forage plants tested here. Forages with a higher digestibility are known to cause more intensive ruminal fermentation and thereby increase in CH4 yields (Beauchemin et al. 2020; Weiby et al. 2022) because more H2 derived from feed will be used to create CH4.

The lack of a significant correlation between other chemical constituents (even the relation of NDF to CH4 production was non-significant in forages grown in Bahir Dar) and CH4 yield in this and other studies (Banik et al. 2013; Berhanu et al. 2019; Ansah et al. 2021) highlighted the importance of alternative factors to methanogenesis in vitro. For example, factors affecting the extent or duration of digestion in the rumen (i.e. residence time), such as the degree of lignification of plant cell walls or the concentration of condensed tannins and other secondary metabolites in the forages, might have more important effects on CH4 production than nutrient composition (Archimède et al. 2011; Beauchemin et al. 2020).

Forage quality and candidate forages for methane abatement

Besides herbage yield, the quality of forage is an essential element to consider on selection of forage varieties for livestock production. The NDF and CP contents are among the commonly used nutritive metrics for ruminant feeds (Van Soest et al. 1991; Waghorn and Clark 2004). The level of NDF in tropical forages beyond which DM intake in ruminants, cattle for example, would be negatively affected is 60% (Meissner et al. 1991), suggesting that 8 of 10 of the forages analysed from the Hawassa site and four of nine from the Bahir Dar site have acceptable NDF values. Crude protein serves as a reliable measure of overall nutritional value, and forages having a CP of 7% or more are considered to be of adequate quality. In this study, a CP value above this threshold was observed in eight (from both sites) species (Table 3). Although CP and NDF contents are the commonly used measures to assess feed quality, it is the CP yield that describes the overall and actual productivity of quality forage (Abera et al. 2022; Iliev et al. 2022). As such, the legumes lablab, Greenleaf desmodium or sunnhemp and the grass Xaraes at the Hawassa site and sunnhemp and lablab or Greenleaf desmodium in Bahir Dar may provide both high protein production per hectare per year and high protein content in biomass. These forage plants also contained lower concentration of NDF. Feeding these plants as supplements could thus enable improved utilization of protein-deficient native forages. Moreover, the considerable amounts of CP in these forage species can also have a suppressing effect on CH4 production in ruminants. However, only the legumes lablab, Greenleaf desmodium and sunnhemp had CP concentration higher than the 15% required for optimal animal growth (Poppi and McLennan 1995). The NDF and CP values of the forages are within the ranges reported in the literature (Jayasinghe et al. 2022; Feedipedia 2024).

The difference observed in CH4 production and its proportion to total gas production among species might be attributed to genetic variation among species but also plant phenology, which affects chemical composition (Bezabih et al. 2014; Gemeda and Hassen 2014; Lee 2018). There is little information on CH4 and gas yield for many introduced (or improved) tropical forage grasses and legumes under tropical African conditions, with which to compare our data. We assume that the higher values in our report than those frequently found in literature could partially be attributed to relatively higher digestibility or passage rate of the NDF (Beauchemin et al. 2020) (see the previous section), and relatively lower CP contents recorded in grasses (Table 3). In contrast, the higher CH4 production (per unit of incubated DM) for legumes (e.g. sunnhemp) in the current study is possibly linked to higher amounts of rapidly fermentable carbohydrates (Chaves et al. 2006; Pirondini et al. 2012); however, we did not measure the concentrations of these carbohydrate fractions in our analysis. According to Beauchemin et al. (2020), better-quality forages including legumes often contain a higher proportion of non-fibre carbohydrates relative to NDF, which promotes organic matter digestibility and intense fermentation in the rumen and thereby increase in CH4 production (Pirondini et al. 2012). In an earlier study, Chaves et al. (2006) found a higher CH4 production (g kg−1 DM) for forage legumes, although they possessed low concentrations of NDF. The CH4 proportion of total gas production of tested species except Greenleaf desmodium was lower than a value normally expected (i.e. 27%) from forages fermented in the rumen (Mathison et al. 1998).

The ratio or percentage of CH4 to total gas production has been widely used as an important indicator rather than absolute CH4 amount to screening of plants for low CH4 production (Jayanegara et al. 2011; Bezabih et al. 2014; Melesse et al. 2019) because it is correlated with total gas production (microbial fermentation) (Bhatta et al. 2012) and because it can also express feed efficiency (Van Soest 1994; Gemeda and Hassen 2014). A lower percentage indicates reduced methanogenic potential of digestible feed components, resulting in lower CH4 production per unit net gas volume output (Bhatta et al. 2012; Bekele et al. 2024). In this study, plants that possessed a percentage of CH4 to total gas production of ≤14.54% were considered promising plants (for their potential to reducing CH4 emissions in vitro) for the Hawassa site, and those with ≤15.86% being considered promising for the Bahir Dar site. These plants were lablab and Mombasa for the former site and desho for the latter, which can be desirable candidates for further in vivo trials. However, the CH4 suppressing effect of these candidate species may be more pronounced if they are used as supplements rather than as sole-feed diets.

Conclusions

The study identified several alternative forage species that can be implemented in low-input croplivestock systems in the immediate or near future. Particularly, the native grass desho and the introduced grasses Basilisk, Xaraes and Mombasa can be used as promising options to improving forage supply. The legumes sunnhemp, lablab and Greenleaf desmodium provide high protein production to warrant consideration of their use as high-quality supplements to the existing feeding strategies. Percentage of CH4 in total gas yield was lowest for lablab, Mombasa and desho, making them promising candidates to assist in reducing CH4 emissions. The selected forage species/cultivars have a good potential for diffusion into the mixed livestock systems in the Ethiopian highlands, but additional studies are needed to better understand how intra-annual variability and environmental differences across sites affect not only biomass production, but also the nutritive value of the forage produced. Further research is also required on validating in vitro CH4 mitigation potential of the promising species/cultivars under in vivo conditions before practical application and addressing challenges in legume establishment.

Data availability

Data are available from Mendeley Data repository at https://data.mendeley.com/datasets/s2cvcs37xb/1 (Raji et al. 2025).

Conflicts of interest

The authors declare that they have no conflicts of interest.

Declaration of funding

This work was supported by the Research Council of Norway (Grant No. 314916).

Acknowledgements

This work was funded by the Research Council of Norway, Grant number 314916. We thank the technical and field assistants in the respective sites for their assistance during the field and laboratory experiments. We also thank the Associate Editor and two anonymous reviewers for their helpful contributions.

References

Abera M, Tolera A, Nurfeta A, Geleti D (2022) Herbage accumulation and nutritive value of mixtures of desho grass and Vicia spp. in southern Ethiopia. Agronomy Journal 114(1), 165-172.
| Crossref | Google Scholar |

Ansah T, Sahoo A, Rahman NA, Kumawat PK, Bhatt RS (2021) In vitro digestibility and methane gas production of fodder from improved cowpea (Vigna unguiculata L.) and groundnut (Arachis hypogaea L.) varieties. Scientific African 13, e00897.
| Crossref | Google Scholar |

AOAC (1990) ‘Official methods of analysis.’ 15th edn. (Association of Official Analytical Chemists: Arlington, VA, USA)

Archimède H, Eugène M, Marie Magdeleine C, Boval M, Martin C, Morgavi DP, Lecomte P, Doreau M (2011) Comparison of methane production between C3 and C4 grasses and legumes. Animal Feed Science and Technology 166–167, 59-64.
| Crossref | Google Scholar |

Assefa G, Dejene M, Hanson J, Anemut G, Mengistu S, Mengistu A (2012) Forage seed research and development in Ethiopia. In ‘The 1st national workshop on forage seeds’, Addis Ababa, Ethiopia. p. 265. (Ethiopian Institute of Agricultural Research (EIAR): Addis Ababa, Ethiopia)

Balehegn M, Duncan A, Tolera A, Ayantunde AA, Issa S, Karimou M, Zampaligré N, André K, Gnanda I, Varijakshapanicker P, Kebreab E, Dubeux J, Boote K, Minta M, Feyissa F, Adesogan AT (2020) Improving adoption of technologies and interventions for increasing supply of quality livestock feed in low- and middle-income countries. Global Food Security 26(June), 100372.
| Crossref | Google Scholar |

Balehegn M, Kebreab E, Tolera A, Hunt S, Erickson P, Crane TA, Adesogan AT (2021) Livestock sustainability research in Africa with a focus on the environment. Animal Frontiers 11(4), 47-56.
| Crossref | Google Scholar | PubMed |

Banik BK, Durmic Z, Erskine W, Ghamkhar K, Revell C (2013) In vitro ruminal fermentation characteristics and methane production differ in selected key pasture species in Australia In vitro ruminal fermentation characteristics and methane production differ in selected key pasture species in Australia. Crop & Pasture Science 64(9), 935-942.
| Crossref | Google Scholar |

Beauchemin KA, Ungerfeld EM, Eckard RJ, Wang M (2020) Review: Fifty years of research on rumen methanogenesis: lessons learned and future challenges for mitigation. Animal 14(Suppl. 1), s2-s16.
| Crossref | Google Scholar |

Bekele W, Huhtanen P, Zegeye A, Simachew A, Siddique AB, Albrectsen BR, Ramin M (2024) Methane production from locally available ruminant feedstuffs in Ethiopia – an in vitro study. Animal Feed Science and Technology 312, 115977.
| Crossref | Google Scholar |

Berhanu Y, Olav L, Nurfeta A, Angassa A, Aune JB (2019) Methane emissions from ruminant livestock in Ethiopia: promising forage species to reduce CH4 emissions. Agriculture 9, 130.
| Crossref | Google Scholar |

Bezabih M, Pellikaan WF, Tolera A, Khan NA, Hendriks WH (2014) Chemical composition and in vitro total gas and methane production of forage species from the Mid Rift Valley grasslands of Ethiopia. Grass and Forage Science 69, 635-643.
| Crossref | Google Scholar |

Bhatta R, Saravanan M, Baruah L, Sampat KT (2012) Nutrient content, in vitro ruminal fermentation characteristics and methane reduction potential of tropical tannin-containing leaves. Journal of the Science of Food and Agriculture 92, 2929-2935.
| Crossref | Google Scholar | PubMed |

Blümmel M, Ørskov ER (1993) Comparison of in vitro gas production and nylon bag degradability of roughages in predicting feed intake in cattle. Animal Feed Science and Technology 40, 109-119.
| Crossref | Google Scholar |

Chaves AV, Thompson LC, Iwaasa AD, Scott SL, Olson ME, Benchaar C, Veira DM, Mcallister TA (2006) Effect of pasture type (alfalfa vs. grass) on methane and carbon dioxide production by yearling beef heifers. Canadian Journal of Animal Science 86(3), 409-418.
| Crossref | Google Scholar |

Chen C-N, Lee T-T, Yu B (2016) Improving the prediction of methane production determined by in vitro gas production technique for ruminants. Annals of Animal Science 16(2), 565-584.
| Crossref | Google Scholar |

CIAT (2004) Tropical grasses and legumes: optimizing genetic diversity for multipurpose use – Annual report 2004. Centro Internacional de Agricultura Tropical (CIAT).

CRGE (2010) Ethiopia’s climate-resilient green economy (CRGE): green economy strategy. Federal Democratic Republic of Ethiopia, Addis Ababa, Ethiopia.

CSA (2017) Agricultural sample survey 2016/2017: report on livestock and livestock characteristics, Central Statistical Agency of Ethiopia (CSA), Statistical Bulletin #505.

Elias E (2016) Soils of the Ethiopian Highlands: Geomorphology and properties. CASCAPE Project, ALTERA, Wageningen University and Research Centre (Wageningen UR), Netherlands.

FAO (2018) Small family farms country fact sheet: Ethiopia. FAO, Rome.

Feedipedia (2024) An on-line encyclopedia of animal feeds. Feedipedia.

Fievez V, Babayemi OJ, Demeyer D (2005) Estimation of direct and indirect gas production in syringes: a tool to estimate short chain fatty acid production that requires minimal laboratory facilities. Animal Feed Science and Technology 123–124, 197-210.
| Crossref | Google Scholar |

Frey J, Hartung J, Ogutu J, Piepho H-P (2024) Analyze as randomized – why dropping block effects in designed experiments is a bad idea. Agronomy Journal 116(3), 1371-1381.
| Crossref | Google Scholar |

Garcia E, Siles P, Eash L, Van Der Hoek R, Kearney SP, Smukler SM, Fonte SJ (2019) Participatory evaluation of improved grasses and forage legumes for smallholder livestock production in Central America. Experimental Agriculture 55(5), 776-792.
| Crossref | Google Scholar |

Gemeda BS, Hassen A (2014) In vitro fermentation, digestibility and methane production of tropical perennial grass species. Crop & Pasture Science 65(5), 479-488.
| Crossref | Google Scholar |

Hanson J, Schultze-kraft R, Peters M, Wenzl P, Amri A, Shehadeh A, Yazbek M (2020) Forage diversity, conservation and use. In ‘The impact of the International Livestock Research Institute’. (Eds J McIntire, D Grace) pp. 423–449. (ILRI: Nairobi, Kenya, and CABI: Wallingford, UK)

Iliev M, Bozhanski B, Bozhanska T (2022) Yield of crude protein and rate of accumulation in the dry matter in a natural grass association used in pasture and haymaking regime in the conditions of the Central Balkan Mountain. Scientific Papers. Series A. Agronomy LXV(No. 1), 360-367.
| Google Scholar |

Jayanegara A, Wina E, Soliva CR, Marquardt S, Kreuzer M, Leiber F (2011) Dependence of forage quality and methanogenic potential of tropical plants on their phenolic fractions as determined by principal component analysis. Animal Feed Science and Technology 163(2–4), 231-243.
| Crossref | Google Scholar |

Jayanegara A, Ridla M, Nahrowi N (2012) Screening approaches for methane mitigating potential of tannin-containing plants under in vitro rumen environment. Journal of the Indonesian Tropical Animal Agriculture 37(4), 278-285.
| Crossref | Google Scholar |

Jayasinghe P, Ramilan T, Donaghy DJ, Pembleton KG, Barber DG (2022) Comparison of nutritive values of tropical pasture species grown in different environments, and implications for livestock methane production: a meta-analysis. Animals 12(14), 1806.
| Crossref | Google Scholar |

Lee MA (2018) A global comparison of the nutritive values of forage plants grown in contrasting environments. Journal of Plant Research 131(4), 641-654.
| Crossref | Google Scholar | PubMed |

Leta G, Duncan A, Abdena A (2013) Desho grass (Pennisetum pedicellatum) for livestock feed, grazing land and soil and water management on small-scale farms. NBDC Brief #11. ILRI.

Makkar HPS (2016) Smart livestock feeding strategies for harvesting triple gain – the desired outcomes in planet, people and profit dimensions: a developing country perspective. Animal Production Science 56(3), 519-534.
| Crossref | Google Scholar |

Mathison GW, Okine EK, McAllister TA, Dong Y, Galbraith J, Dmytruk OIN (1998) Reducing methane emissions from ruminant animals. Journal of Applied Animal Research 14(1), 1-28.
| Crossref | Google Scholar |

Meissner HH, Koster HH, Nieuwoudt SH, Coertze RJ (1991) Effect of energy supplementation on intake and digestion of early and mid-season ryegrass and Panicum/smuts finger hay, and on in sacco disappearance of various forage species. South African Journal of Animal Science 21(1), 33-42.
| Google Scholar |

Melesse A, Steingass H, Schollenberger M, Holstein J, Rodehutscord M (2019) Nutrient compositions and in vitro methane production profiles of leaves and whole pods of twelve tropical multipurpose tree species cultivated in Ethiopia. Agroforestry Systems 93, 135-147.
| Crossref | Google Scholar |

Mengistu A, Kebede G, Assefa G, Feyissa F (2017) Descriptions and characteristics of cultivated forage crops growing under different agro-ecological zones in Ethiopia. Internationl Journal of Agriculture and Biosciences 6(5), 238-247.
| Google Scholar |

Mengistu S, Feyissa F, Kebede G (2018) Progress of forage legumes breeding and genetics research in Ethiopia: a review. Ethiopian Journal of Crop Science Special Issue 01(01), 153-178.
| Google Scholar |

Menke KH, Raab L, Salewski A, Steingass H, Fritz D, Schneider W (1979) The estimation of the digestibility and metabolizable energy content of ruminant feedingstuffs from the gas production when they are incubated with rumen liquor in vitro. The Journal of Agricultural Science 93(1), 217-222.
| Crossref | Google Scholar |

MoA (1998) Agro-ecological zones of Ethiopia. Ministry of Agriculture (MoA), Natural Resources Management & Regulatory Department, Addis Ababa, Ethiopia.

Muizelaar W, Bani P, Larsen M, Tapio I, Gastelen S Van (2020) Rumen fluid sampling via oral stomach tubing method. In ‘Methods in cattle physiology and behaviour research – Recommendations from the SmartCow consortium’. (Eds SD Mesgaran, R Baumont, L Munksgaard, D Humphries, E Kennedy, J Dijkstra, R Dewhurst, H Ferguson, M Terré, B Kuhla) pp. 1–6. (PUBLISSO: Cologne, Germany)

Negawo AT, Muktar MS, Teshome A, Sime Y, Fentahun M, Habte E, Jones CS (2024) The ILRI genebank : a window to the global tropical forage biodiversity available for breeding programs. In ‘International forage & turf breeding conference-IFTBC 2024’. (ILRI)

Nguku SA (2015) An evaluation of Brachiaria grass cultivars productivity in semi arid Kenya. South Eastern Kenya University, Kenya.

Paul BK, Koge J, Maass BL, Notenbaert A, Peters M, Groot JCJ, Tittonell P (2020) Tropical forage technologies can deliver multiple benefits in sub-Sahara Africa. A meta-analysis. Agronomy for Sustainable Development 40, 22.
| Crossref | Google Scholar |

Pell AN, Schofield P (1993) Computerized monitoring of gas production to measure forage digestion in vitro. Journal of Dairy Science 76(4), 1063-1073.
| Crossref | Google Scholar | PubMed |

Philp JNM, Vance W, Bell RW, Chhay T, Boyd D, Phimphachanhvongsod V, Denton MD (2019) Forage options to sustainably intensify smallholder farming systems on tropical sandy soils. A review. Agronomy for Sustainable Development 39, 30.
| Crossref | Google Scholar |

Pirondini M, Malagutti L, Colombini S, Amodeo P, Crovetto GM (2012) Methane yield from dry and lactating cows diets in the Po Plain (Italy) using an in vitro gas production technique. Italian Journal of Animal Science 11, e61.
| Crossref | Google Scholar |

Poppi DP, McLennan SR (1995) Protein and energy utilization by ruminants at pasture. Journal of Animal Science 73, 278-290.
| Crossref | Google Scholar | PubMed |

Raji SG, Dörsch P (2020) Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia. Biogeosciences 17(2), 345-359.
| Crossref | Google Scholar |

Raji S, Asmare B, Jørgensen M, Berhanu Y (2025) Data on forage mass production, crude protein yield and methane emission reduction potential of tropical forage options for crop-livestock systems in Ethiopia. Mendeley Data, V1. 10.17632/s2cvcs37xb.1.

Reynolds TW, Waddington SR, Anderson CL, Chew A, True Z, Cullen A (2015) Environmental impacts and constraints associated with the production of major food crops in sub-Saharan Africa and South Asia. Food Security 7, 795-822.
| Crossref | Google Scholar |

Vanlauwe B, Coyne D, Gockowski J, Hauser S, Huising J, Masso C, Nziguheba G, Schut M, Van Asten P (2014) Sustainable intensification and the African smallholder farmer. Current Opinion in Environmental Sustainability 8, 15-22.
| Crossref | Google Scholar |

Van Soest PJ (1994) ‘Nutritional ecology of the ruminant.’ 2nd edn. (Cornell University Press: Ithaca, NY, USA)

Van Soest PJ, Robertson JB, Lewis BA (1991) Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 3583-3597.
| Crossref | Google Scholar | PubMed |

Waghorn GC, Clark DA (2004) Feeding value of pastures for ruminants. New Zealand Veterinary Journal 52(6), 320-331.
| Crossref | Google Scholar | PubMed |

Weiby KV, Krizsan SJ, Eknæs M, Schwarm A, Whist AC, Schei I, Steinshamn H, Lund P, Beauchemin KA, Dønnem I (2022) Associations among nutrient concentration, silage fermentation products, in vivo organic matter digestibility, rumen fermentation and in vitro methane yield in 78 grass silages. Animal Feed Science and Technology 285, 115249.
| Crossref | Google Scholar |