Journal of
Horticulture and Forestry

  • Abbreviation: J. Hortic. For.
  • Language: English
  • ISSN: 2006-9782
  • DOI: 10.5897/JHF
  • Start Year: 2009
  • Published Articles: 299

Full Length Research Paper

Evaluation of multi-functional fodder tree and shrub species in mid-altitudes of South Omo Zone, Southern Ethiopia

Asmelash Tesfaye Gebremedhin
  • Asmelash Tesfaye Gebremedhin
  • Department of Forestry, Faculty of Agriculture, Arba Minch University College of Agriculture, Ethiopia.
  • Google Scholar
Alemayehu Hido Gedo
  • Alemayehu Hido Gedo
  • Hawassa Environment, Forest and Climate Change Center, Ethiopia.
  • Google Scholar
Getahun Yakob Edo
  • Getahun Yakob Edo
  • Southern Agricultural Research Institute, Ethiopia.
  • Google Scholar
Shimelis Tessema Haile
  • Shimelis Tessema Haile
  • Jinka Agricultural Research Center, Ethiopia.
  • Google Scholar

  •  Received: 12 December 2019
  •  Accepted: 03 March 2020
  •  Published: 31 March 2020


A study was conducted to evaluate the early growth performance and nutrient composition of some selected tree/shrub species in the fodder bank agroforestry system. Moringa stenopetala, Terminalia brownii, Morus alba, Melia azedarach, and Sesbania sesban were used for this study. Square quadrants of 16 m2 plot sizes were established with the RCBD of three replications. Seedlings were planted with 1 m × 1 m spacing between rows and plants respectively. The growth and chemical composition of the studied tree/shrub species were evaluated with one way ANOVA. The growth parameters and nutrient composition of the studied fodder tree/shrub species are significantly (P ≤ 0.05) varied. The nutrient composition of the studied tree/shrub species ranged between percentages of 88.3 - 90.6 of Dry Matter, 5.7 - 13 of Ash, 12.45 - 22.35 of Crude Protein, 11.8 – 23.5 of Acid Detergent Fiber and 18.1 - 33.6 of Neutral Detergent Fiber. S. sesban and M. stenopetala are the consistent and superior tree/shrub species with growth performance and nutrient content parameters respectively. In addition to this, the selected fodder tree/shrub species are well adapted in the fodder bank agroforestry system and have considerable nutrient constituents. Thus the studied tree species seems to be a potential alternative for complementing the basal feed.

Key words: Fodder bank, livestock feed, South Omo, nutrient composition, agroforestry.



Livestock is one of the major building blocks of the agriculture sector which takes part in a potential pathway out of poverty for many smallholders in Ethiopia (Lijalem et al., 2015). It contributes 15 - 17% of the national GDP and more than 50% of household income (Samson and Frehiwot, 2014). South omo zone is the leading zone with livestock population (that is, cattle, goat  and  sheep)  and apparently, the contribution is expected to be higher especially in the areas where enormous livestock population, production, and livestock-based practices are carried out (CSA, 2017). Consequently, livestock husbandry is considered primarily as the main source of income followed to crop production. Despite this the impact of feed shortage is also more pronounced in areas with large concentrations of livestock (Nassoro, 2014). Similarly feed shortage both in quality and quantity combined with land shortage and low productivity of local breeds are the leading constraints for livestock productivity in Southern Ethiopia (Chalchissa et al., 2014; Membere, 2014). The current feed source such as natural pasture and crop residues are characterized as poor quality in terms of nutrients and minerals (Tolera et al., 2012; FAO, 2018). On the other hand, fodder trees and shrubs are increasingly recognized as important components of animal feed; fodder tree leaves were found to be rich in protein, soluble carbohydrates, minerals, and vitamins, and showed great potential as alternate feed resource (Bakshi and Wadhwa, 2007; Azim et al., 2011) especially where alternative options are expensive (Hamer et al., 2007).

However, areas under fodder production are continuously reducing mainly due to the competition with cash/food crops (Cheema et al., 2011) and in turn planting of fodder trees seems difficult in uplands otherwise it is reserved for annual crops (Franzel et al., 2014). According to CSA (2007) census, the total population was estimated as 212, 389 and this makes the district highly populous than the remaining districts in the zone. Despite this, the livestock feed demand is continuously increasing while accessing land for planting trees tends to be more difficult primarily due to the positive relationship between population growth and annual crop production for satisfying the increasing food demand. As it happens more lands will subject to crop production and in turn competition between trees and annual crops is expected to be more intense. Hence, the possible solution from tree planting perspective would be as Raghuvansi et al. (2007) argued that exploring alternate feed resources that do not compete with human feed is crucial. On the other hand, strengthening the existing practices as Franzel et al. (2014) noted that planting of multi-purpose fodder tree species in neglected niches such as hedges around the homestead, along field boundaries and contour lines as soil erosion barriers. This will allow another opportunity for mitigating the current livestock feed problem. With this regard fodder bank agroforestry practice has been considered as one of the substantial crop-livestock production systems that fit for both alternatives. The main objective of this system is to overcome protein deficiency of livestock and/or to supplement basal feed sources while established in areas without causing space competitions against annual crops (ESGIP, 2008).

Emmanuel and Tsado (2011) argued that of all fodder development works, legumes play a major role as they enrich the soil with nitrogen and produce highly digestible and protein-rich fodder. Moreover, the deep root of these multi-functional trees/shrubs extracts water and nutrients from deep in the soil profile enables them to maintain high protein in their parts especially during the dry season (Teferi et al., 2008; Wambugu et al., 2011). The growth  responses  and  nutrient  contents  of  the  readily available fodder tree/shrub species including the studied species in the fodder bank agroforestry system are yet unknown. Hence, this gap hinders further adoption of these tree/shrub species in the system and turn limits the potential benefits. With this context, the present study was aimed at assessing the early growth performance and nutritive values of the selected tree/shrubs in the fodder bank agroforestry system.



Description of the study area

The present study was conducted for three years between 2016 and 2018 at Jinka Agricultural Research Centre on-station Debub Ari District, Southern Ethiopia. The station is geographically located between 05° 46' 30.4" - 05° 46' 47.8" N and 036° 33' 02.7" - 036° 33' 20.4" E with an altitude of 1383 m.a.s.l. The soil type is characterized as Cambisols with fine to very fine particles, with a pH range of 4.87 to 6.18 strongly acidic to slightly acidic (Kebede et al., 2017) which is a preferable range for majority of crop types that are potentially grown in the area. The study site has a bi-modal rainfall pattern with a shorter rainy season from March-May and the longest rainy season from August - November. The total annual rainfall is 1272.4 ± 250.7 mm. The annual mean minimum and maximum temperatures are 16.3 ± 0.9°C and 27.7 ± 1.4°C. The meteorology data was collected from Jinka station, there are some missing values for certain months and accordingly, the monthly average values for those climate elements were considered the available records only (Figure 1).



Experimental design, trial layout, and management

Moringa stenopetala (Bak.) Cuf., Terminalia brownii (Fres.), Morus alba (L.), Melia azedarach (L.), and Sesbania sesban (L.) Merr. were tested under the present study. The first two species are indigenous to southern Ethiopia and the latter three are introduced to Ethiopia during the last three decades. The multi-function, ecology, distribution and botanical characteristics of the studied tree/shrub species are described in different literatures (Stein-müller et al., 2002; Abuye et al., 2003; Jiru et al., 2006; Bekele, 2007; Chiffelle et al., 2008; Sultan et al., 2008; Orwa et al., 2009; Degefu et al. 2011; Oosting et al, 2011; Mani et al., 2011; Gomase et al., 2012; Nigussie and Alemayehu, 2013; Seifu, 2014). Square quadrants with 4 m × 4 m plot sizes were established horizontally along the strips with RCBD of three replications. Each plot was received sixteen tree/shrub individuals of the same species. Seedlings were planted during the onset of the rainy season (April, 2016) with 1 X 1 m spacing between rows and plants respectively. This spacing enables them to cut frequently and induce high herbage production (Jamala et al., 2013). With the exceptions of M. alba cuttings for the rest of tree/shrub species seedlings were used. The following criteria are considered for choosing fodder tree/shrub species of the present study such as availability for further adoption, high survival rate, ease of propagation, and permit periodic pruning, high leaf yields and good nutritional value (Chakeredza et al., 2007). Diameter (1.3 m above ground) and height were measured by using caliper and meter tape respectively.

Sample collection and nutrient analysis

Every six months fresh leaf and tender branch/twig samples were collected from eight sample  individuals  (from  interior  two  planting rows). Composite samples were prepared for nutrient analysis from each tree/shrub species. The collected leaves were dried separately in a forced air oven at 55°C, ground to pass a 2 mm sieve, eventually labeled, stored in air-tight plastic bags and nutrient analysis was done in a laboratory at Hawassa University. Dry matter (DM) content was determined by drying the sample at 105°C in a forced-air oven untill the constant weight was obtained. Ash content was measured after igniting the sample in a muffle furnace at 550°C for 4 h. Nitrogen was determined using the micro-Kjeldahl method (AOAC, 2000). Crude protein (CP) was calculated as N X 6.25. Neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined by methods of Van Soest et al. (1991) without the use of alpha-amylase but with the use of sodium sulfite.

Data analysis

Early establishment growth parameters such as Height, Root Collar Diameter (RCD), Diameter at Breast Height (DBH) and Branch number (BNO) were analyzed, while the nutrient composition parameters such as Ash, crude protein, Acid Detergent Fiber, and Neutral Detergent Fiber were evaluated by one-way Analysis of variance (ANOVA) among the fodder tree/shrub species. Mean separation for mean differences was computed among the mean values and Linear regression was computed both between RCD with height and Height with BNO. The data analysis was run through employing SPSS (Version 20) and for data organization Microsoft excel worksheet was used.




Early performance of the selected fodder tree/shrub species

Growth performance of tree/shrub species was measured in   terms  of  gains  in  Height  (H),  Root  collar  diameter (RCD), and branch number (BNO) during both year one and year two monitoring except for diameter at breast height (DBH) (considered during the second year). All the investigated growth parameters showed significant variation (P ≤ 0.05) among the studied fodder tree/shrub species. Except height, both root collar diameter and branch number were non-significant during the first of year monitoring. S. sesban and M. alba gained significantly the highest mean height during the first and second year of monitoring and followed by T. brownii. Also S. sesban had consistent and significantly (P<0.05) highest mean values of RCD, DBH and BNO (Table 1).



The utilization of resources from the environment by any species is a combination of space, resource and time (Jose et al., 2004). These components  influence the growth performance, root development and nutrient acquisition of individual plants in several agroforestry practices (Rao et al., 1998). According to Makumba et al. (2009), management and/or environmental and physiological factors are controlling plant growth, as a result, species response to the environment within simultaneous systems is modified by the presence of the others as well (Akinnifesi et al., 2004). Similarly, the growth difference among the studied tree/shrub species is related to the inherent physiological nature of the species in response to spacing and the resource pool. Apparently, spacing determines the intensity of inter and intraspecific competitions and fine root biomass (Singh et al., 2016) in turn influences tree growth (Hébert et al., 2016) and also determines the nutrient contents of leaves (Walker, 2007; Shinde et al., 2012). For instance, M. alba had higher leaf yield and growth was obtained with 1 m × 1  m   and  1  m  ×  1.5  m   spacing   and   this  differenceis more visible over time (Eltayb et al., 2013).

The root geometry and architecture of each tree/shrub species influence the intensity of competition, carbon turn over, successful growth and survival. Though for the majority of tree species, the root density varies with increasing soil depth (Mekonnen et al., 1999), soil texture and organic matter contents (Savon et al., 2016). Both S. sesban and M.alba establish a deeper rooting system (Mani et al., 2011; Savon et al., 2016). This important rooting feature may enable these trees to explore large volumes of soil and such trees are a beneficiary in the sense of intercept leached nutrients (Akinnifes et al., 2004), and moisture capturing from the lower horizon. Due to this reason, both the tree species have revealed a considerable performance in all growth explicit parameters.

Moringa spp such as Moringa oliefera and Moringa stenopetala have a tuberous, larger taproot and wide-spreading lateral roots (Sanchez, 2006). The observed least growth performance of M. stenopetala may be related to the intensity within competition particularly for space and in turn nutrients and moisture competition between individual trees. Despite the species capacity to produce a large  quantity  of  fresh  biomass  even with higher planting density, competition within is also caused to reduce biomass production during the second year (Sanchez et al., 2006). Similarly, the average fine root biomass of M. azedarach is reported highest at the upper soil depth (0-15 cm) (Singh et al., 2016). This implies that there is evidence of higher competition of nutrients and moisture especially during the dry season and/or when the water becomes depleted the competition becomes intense (Miller and Pallardy, 2001). When the resource competition for space and soil nutrients is becoming more intense, the growth and performance of individual trees are influenced such as height, branch number, and DBH. The same is true with the growth performance of both M. azedarach as well as M. stenopetala in the present study.

The present result revealed that there is no significant correlation between Height and branch numbers (r= 0.511: P= 0.052), while there is a significant positive relationship (r= 0.57: P= 0.026) between root collar diameter and height during the first year of establishment. This result agreed with Samuel et al. (2016)’s argument, root collar diametere is used as an indicator for taller growth especially during early establishment. With the exceptions, T. brownii  and  M.  azedarach  all  the tree/shrub species showed a decreasing trend of average height values (Table 1 and Figure 2). This is due to all the tree/shrub species are subjected to frequent lopping of leaves and tender twigs during the experimentation. Bishit et al. (2014) reported that when the lopping intensity of Dalbergia sissoo increases there is decreased height and DBH. This practice may directly influence the physiological processes of plants predominantly respiration and photosynthesis rate. Hence, the rate of changes in height increment seems to decrease when the age of the studied trees/shrubs increases. Despite the height, increment in growth parameters expresses the adaptation and growth response of these tree/shrubs to the environment with fodder bank agroforestry system at least during the experimentation period.



Chemical composition of the studied tree/shrub species

The present result revealed that the nutrient contents of the fodder tree/shrub species are significantly varied (P ≤ 0.01) consistently across all the parameters. M. stenopetala had the highest Ash and CP contents. T. brownii  had  the  highest ADF, NDF and DM contents, while it had the least contents of CP and Ash. M.alba and S.sesban exhibited the least ADF and NDF values respectively, while comparable in terms of Ash and DM contents. M.azedarach recorded the highest DM contents (Table 2). These differences among the studied tree/shrubs may concede with different factors such as environmental factors (Jiru et al., 2006), genotypic variations and plant maturity (Aganga and Tshwenyane, 2003; Upreti and Shrestha, 2006) and differences in accumulation of protein in the leaves during growth (Cheema et al., 2011).



The nutrient contents of the studied tree/shrub species were compared with study carried out by other workers in species like M. stenopetala (Abuye et al., 2003; Jiru et al., 2006; Melesse et al., 2009; Melesse, 2011), S. sesban (Tessema and Baars, 2004; Debela et al., 2011; Gomase et al., 2012), M.alba and M. azedarach (Schmidek et al., 2002; Singh and Makkar, 2002; Sultan et al., 2008; Cheema et al., 2011) and T. brownii (Osuga et al., 2019). The nutrient contents for the majority of roughages are less than 9% and even decline with time (Distel et al., 2005), which is inadequate to meet out required protein for microbial activities unless supplemented with protein-rich feeds (Seyoum and Zinash, 1989). Fodder trees are nutrient-rich and enable them to produce bulky biomass almost year-round makes a significant alternative for animals feed. S. sesban tree has a high level of foliage nitrogen and is an excellent supplement to protein-poor roughage (Manaye et al., 2009; Orwa et al., 2009; Sabra et al., 2010). There is an increasing experience of feeding  S.  sesban  leaves  and young twigs to supplement a basal diet for ruminants in Ethiopia (Tessema and Baars, 2004). It is easily digestible when consumed by ruminants (Gomase et al., 2012). Similarly, the nutritive value of M.alba is considered good, with better digestibility than that found in the leaves of many tropical pasture plants; thus it can be an alternative for totally and partially replacing concentrates (Savon et al., 2016). According to Sultan et al. (2008), the potential intake of M. alba is higher and in turn, it has a higher rate of preferences.

The ash contents of the studied fodder tree/shrub species are laid between the ranges of 5.7 - 13% with mean values of 9.7±2.3%. This agreed with the reports of Mandal (1997) who argued that the ash contents for most of the tree leave varied from 6 to 15%. This seemingly studied fodder tree species have considerable mineral concentrations that therefore be suggested as livestock feed supplement with low-quality roughage (Nassoro, 2014). Different factors are influencing the mineral concentration of plants such as minerals in the soil and availability to the plant, soil type, and soil pH and stage of growth (Lukhele and Van Ryssen, 2003).

Alam and Djajanigra (1994) argued that the minimum threshold for CP is 10%; if it is lower than this value it will affect rumen fermentation. The studied tree/shrub species had average CP contents between the ranges of 12.35 - 22.35%; 15.8 ±3.8%) and it is moderately higher from the threshold. All the tree/shrub species are satisfying at least 8% crude protein required for maintenance of livestock (Rubanza et al., 2003). Crude protein  with  this  amount  is  adequate   to   support   the requirements of cattle, sheep, and goats at low to medium production levels (Jamala et al., 2013). When the protein content decreased accompanied by increased fiber content this makes a feed low quality and relatively indigestible for livestock.

Moreover, the contents of CP also influence the digestion of structural carbohydrates by interfering with microbial growth (Orskov, 1982). A high level of CP results in increased ruminal ammonia N concentration (Hristov et al., 2004). Increased ruminal ammonia N status enhances microbial activity and growth resulting in greater DM digestibility (Griswold et al., 2003). The ADF and NDF contents of the studied tree/shrub species are laid between 11.8 -23.5 (15.6 ± 4.3) and 18.1- 33.6 (25.9 ± 5.1) respectively. Lower values of ADF in these tree leaves such as M.alba, M.stenopetala, and S.sesban indicate a good potential for ruminant feed (Bakshi & Wadhwa, 2007). T. brownii had the highest ADF and NDF values than the rest of the studied tree/shrub species. Though, it showed a lower average value than the reports of Osuga et al. (2019) in all parameters. Moreover, the values of ADF and NDF are lower in vegetative parts of leaves than mature leaves. This indicates the vegetative leaves have a relatively smaller proportion of woody parts (Sultan et al., 2008). The concentration of NDF and ADF is negatively correlated with a relative preference of livestock and in turn palatability (Sultan et al., 2008).






The variation of the studied tree/shrub species in terms of growth and nutrient composition is attributed to different factors such as the inherent nature of the tree species in response to spacing and resource acquisition, genotype, the season of plant harvest and maturity. Especially the latter three are more explained with nutrient composition differences. Sesbania sesban and Moringa stenopetala are the superior fodder tree/shrub species in terms of growth performances and nutrient composition respectively. All the selected fodder tree/shrub species are well adapted in fodder bank agroforestry  system  and have a considerable constituent of Ash, Crude protein, Acid detergent Fiber, Neutral detergent Fiber and Dry matter for maintaining livestock production. These enable the studied tree species to be potential alternatives for complementing the basal feed.



The authors have not declared any conflict of interests.



The study was funded by the Southern Agricultural Research Institute and Jinka Agricultural Research Institute. The authors thanked Dr. Tekleyohannes, Mr. Yihuwalashet and the rest of the center colleagues for their technical and financial facilities.



Abuye C, Urga K, Knapp H, Selmar D, Omwega AM, Mungi JK (2003). A compositional study of Moringa stenopetala leaves. East African Medical Journal 80(5):247-252.
Aganga AA, Tshwenyane SO (2003). Feeding values and Anti-Nutritive Factors of Forage Tree legumes. Pakistan Journal of Nutrition 2(3):170-177.
Akinnifesi FK, Rowe EC, Livesley SJ, Kwesiga F, Vanlauwe B, Akinnifesi FK, Rowe EC, Livesley SJ, Kwesiga F, Vanlauwe B, Alegre J (2004). Tree Root Architecture, Below-ground interactions in tropical Agroeco-systems: In: Cadisch G., van Noordwijk M., Ong C.K. (Eds), CAB International, Wallingford, UK pp. 61-81.
Alam MP, Djajanigara A. (1994). Nutritive value and yield of potential tree leaves and shrubs in Bangladesh. Proc. 7th AAAP Animal Science Congress on Sustainable Animal Production and Environment. Bali, Indonesia, pp. 317-318.
AOAC (Association of Official Analytical Chemists) (2000). Official methods of analysis (15th ed.). Inc., Washington D.C., USA.
Azim AG, Khan A, Ahmad J, Ayaz M, Mirza IH (2001). Nutritional Evaluation of Fodder Tree Leaves with Goats. Asian-Australasian Journal Animal Science 15(1):34-37.
Bakshi MPS, Wadhwa M (2007). Tree leaves as complete feed for goat kids. Small Ruminant Research 69:74-78.
Bekele TA (2007). Useful trees of Ethiopia: identification, propagation, and management in 17 agroecological zones. Nairobi: RELMA in ICRAF Project 552 p. ISBN 92 9059 212 5
Bisht V, Sirohi C, Rana BS (2014). Effect of lopping intensities on tree growth and grass yield under Shisham (Dalbergia sissoo) based Silvipastoral system on Sodic land. Forage Research 40(3):168-172.
Chakeredza S, Hove L, Akinnifesi F, Franzel S, Ajayi O, Sileshi G (2007). Managing fodder trees as a solution to human-livestock food conflicts and their contribution to income generation for smallholder farmers in southern Africa. Natural Resources Forum 31(4):286-296.
Chalchissa G, Mekasha Y, Urge M (2014). Feed resources quality and feeding practices in Urban and Peri-urban dairy production of Southern Ethiopia. Tropical and Subtropical Agroecosystems 17(3):539-546.
Cheema UB, Sultan JI, Javaid A, Akhtar P, Shahid M (2011). Chemical composition, mineral profile and in situ digestion kinetics of fodder leaves of four native trees, Pakistan Journal of Botany 43(1):397-404.
Chiffelle GI, Huerta FA, Lizana RD (2008). Physical and chemical characterization of Melia azedarach L. fruit and leaf for use as a botanical insecticide. Chilean Journal of Agricultural Research 69(1):38- 45.
Central Statistical Agency (CSA) (2007). Summary and Statistical report of the 2007 population and housing census population size by age and sex. Federal Democratic Republic of Ethiopia population census commission P 78.
Central Statistical Agency (CSA) (2017). Agricultural sampling survey volume II. Livestock and Livestock characteristics statistical Bulletin 585. Federal Democratic Republic of Ethiopia Central Statistical Agency, pp. 64-69.
Debela E, Tolera A, Eik LO, Salte R (2011). Nutritive value of morphological fractions of Sesbania sesban and Desmodium intortum. Tropical Subtropical Agroecosystems 14:793-805.
Degefu T, Wolde-meskel E, Frostegard A (2011). Multilocus sequence analyses reveal several unnamed Mesorhizobium genospecies nodulating Acacia species and Sesbania sesban trees in Southern regions of Ethiopia. Systematic and Applied Microbiology 34:216-226.
Distel RA, Didoné NG, Moretto AS (2005). Variations in chemical composition associated with tissue aging in palatable and unpalatable grasses native to central Argentina. Journal of Arid Environment 62(2):351-357.
Eltayb MA, Warag EE, Elhuiri A (2013). Effect of pruning height on growth of five mulberry species. Journal of Forest Products and Industries 2(2):27-30.
Emmanuel LS, Tsado DN (2011). Forage and Fodder Crop Production in Nigeria: Problems and Prospects. World Journal Life Science and Medical Research1(4):88.
Ethiopian Sheep and Goat Productivity (ESGIP) (2008). Ethiopian Sheep and Goat Productivity Improvement Program. Fodder establishment, management and utilization techniques for the smallholder. Technical Bulletin 17:8
Food and Agriculture Organization (FAO) (2018). Ethiopia: Report on feed inventory and feed balance, 2018. Rome, Italy 160 p. Licence: CC BY-NC-SA 3.0 IGO
Franzel S, Carsan S, Lukuyu B, Sinja J, Wambugu C (2014). Fodder trees for improving livestock productivity and smallholder livelihoods in Africa. Current Opinion in Environmental Sustainability 6:98-103 
Gomase P, Gomase P, Anjum S, Shakil S, Shahnavaj KM (2012). Sesbania sesban Linn: A Review on Its Ethnobotany, Phytochemical and Pharmacological Profile, Asian Journal of Biomedical and Pharameutical Sciences 2(12):11-14.
Griswold KE, Apgar GA., Bouton J, Firkins JL (2003). Effects of urea infusion and ruminal degradable protein concentration on microbial growth, digestibility, and fermentation in continuous culture. Journal of Animal Science 81:329-36.
Hamer A, Franzel S, Mounkoro B (2007). Assessing profitability of fodder banks using farmers' criteria in the desert margins of West Africa. Land Degradation and Development 18(6):670-679.
Hébert F, Krause C, Plourde P, Achim A, Prégent G, Ménétrier J (2016). Effect of Tree Spacing on Tree Level Volume Growth, Morphology, and Wood Properties in a 25-Year-Old Pinusbanksiana Plantation in the Boreal Forest of Quebec. Forests 7(11):276; 
Hristov AN, Etter RP, Ropp JK., Grandeen KL (2004). Effect of dietary crude protein level and degradability on ruminal fermentation and nitrogen utilization in lactating dairy cows. Journal of Animal Science 82(11):3219-3229.
Jamala GY, Tarimbuka IL, Moris D, Mahai S (2013). The Scope and Potentials of Fodder Trees and Shrubs in Agroforestry. Journal of Agriculture and Veterinary Science 5(4):11-17.
Jiru D, Sonder K, Alemayehu L, Mekonen Y, Anjulo A (2006). Leaf yield and nutritive value of Moringa stenopetala and Moringa oleifera accessions: Its potential role in food security in constrained dry farming agroforestry system. Proceedings of the Moringa and other highly nutritious plant resources: Strategies, standards and markets for a better impact on nutrition in Africa, Accra, Ghana November 16-18.
Jose S, Gillespie AR, Pallardy SG (2004). Interspecific interactions in temperate agroforestry. Agroforestry Systems 61: 237-255.
Kebede M, Shimbir T, Kasa G, Abera D, Girma T (2017). Description, characterization and classification of the major soils in Jinka Agricultural Research Center, South Western Ethiopia. Journal of Soil Science and Environmental Management 8(3):61-69 .
Lijalem T, Beyan M, Banerjee S (2015). Assessment of Marketing Livestock and Meat in Hawassa Southern Ethiopia. Assessment 12.
Lukhele MS, Van Ryssen JBJ (2003). The chemical composition and potential nutritive value of the foliage of four subtropical tree species in southern Africa for ruminants. South African Journal Animal Science 33(2):132-141.
Makumba W, Akinnifesi FK, Janssen BH (2009). Spatial rooting patterns of Gliricidia, Pigeon pea and maize intercrops and effect on profile soil N and P distribution in southern Malawi. African Journal of Agricultural Research 4(4):278-288.
Manaye T, Tolera A, Zewdu T (2009). Feed intake, digestibility and body weight gain of sheep fed Napier grass mixed with different levels of Sesbania sesban. Livestock Science 122:24-29. 
Mandal L (1997). Nutritive values of tree leaves of some tropical species for goats. Small Ruminant Research 24:95-105.
Mani RP, Pandey A, Goswami S, Tripathi P, Kumudhavalli V, Singh AP (2011). Phytochemical Screening and In-vitro Evaluation of Antioxidant Activity and Antimicrobial Activity of the Leaves of Sesbania sesban (L) Merr. Free Radic. Antioxidants 3(1):66-69.
Mekonnen K., Buresha RJ, Coe R, Kipleting KM (1999). Root length and nitrate under Sesbania sesban: Vertical and horizontal distribution and variability. Agroforestry Systems 42:265-282.
Melesse A (2011). Comparative assessment on chemical compositions and feeding values of leaves of Moringa stenopetala and Moringa oleifera using in vitro gas production method. Ethiopian Journal Applied Science Technology 2(2):31-41.
Melesse A, Bulang M, Kluth H (2009). Evaluating the nutritive values and in vitro degradability characteristics of leaves, seeds and seedpods from Moringa stenopetala. Journal of the Science of Food and Agriculture 89(2):281-297.
Menbere S (2014). Livestock Production Constrains Priorities and its Determinant Factors in Mixed Farming System of Southern Ethiopia. World Journal of Agricultural Sciences 10(4):169-177. ISSN 1817-3047 
Miller AW, Pallardy SG (2001). Resource competition across the crop-tree interface in a maize-silver maple temperate alley cropping stand in Missouri. Agroforestry Systems 53(3):247-259.
Nassoro Z (2014). Evaluation of nutritive value of browse tree fodder species Indigenous to Kiteto and Kongwa Districts. Master of Science in Biodiversity Conservation the University of Dodoma. pp. 1-84.
Nigussie Z, Alemayehu G (2013). Sesbania sesban (L.) Merrill: Potential uses of an underutilized multipurpose tree in Ethiopia Africa Journal of Plant Science 7(10):468-475. 
Oosting SJ, Mekoya A, Fernandez-Rivera S, Van der Zijpp AJ (2011). Sesbania sesban as a fodder tree in Ethiopian livestock farming systems: feeding practices and farmers' perception of feeding effects on sheep performance. Livestock Science 139(1-2):135-141.
Orskov ER (1982). Protein Nutrition in Ruminants. Agricultural systems Academic Press, London 11(2):155.
Orwa C, Mutua A., Kindt R, Jamnadass R, Simons A (2009). Agroforestree Database: a tree reference and selection guide version 4.0 
Osuga I.M, Abdulrazak SA, Nishino N, Ichinhe T, Fujihara T (2019). Potential nutritive value of selected browse species from Kenya using in vitro gas production technique and polyethylene glycol. Livestock Research for Rural Development 18:171.
Raghuvansi SKS, Prasad R, Mishra AS, Chaturvedi OH, Tripathi MK, Misra AK, Saraswat BL, Jakhmola RC (2007). Effect of inclusion of tree leaves in feed on nutrient utilization and rumen fermentation in sheep. Bioresource Technology 98(3):511-517.
Rao MR, Nair PKR, Ong CK (1998). Biophysical interactions in tropical agroforestry systems, Agroforestry Systems, Kluwer Academic Publishers. Printed in the Netherlands 38:3-50.
Rubanza CDK., Shem MN, Otsyina ER, Ichinohe I, Fujihara T (2003). Content of phenolics and tannins in leaves and pods of some Acacia and Dichrostachys species and effects on in vitro digestibility. Journal of Animal Feed Science 12:645-663.
Sabra HA, Hassan SG, Mohamed MI (2010). Effect of Sesbania sesban (Sesbania egyptiaca) Supplementation on the Reproductive Performances of Baladi Sheep as Compared to Bereseem (Egyptian Clover). Journal of Reproduction and Infertility 1(3):66-70.
Samson L, Frehiwot M (2014). Spatial analysis of cattle and shoat population in Ethiopia: growth trend, distribution and market access. In Springer plus. 
Samuel D, Terefe R, Senbeto M, Daba M (2016). Evaluation of Two Moringa Species for Adaptability and Growth Performance under Bako Conditions Evaluation 6(9)
Sanchez NR, Ledin S, Ledin I (2006). Biomass production and chemical composition of Moringa oleifera under different management regimes in Nicaragua. Agroforestry Systems 66:231-242.
Sánchez NR (2006). Moringa oleifera and Cratylia argentea: potential fodder species for ruminants in Nicaragua. Doctoral thesis ISSN 1652-6880, ISBN 91-576-7050-1.
Savon LV, Gutierrez OB, Febles GP (2016): Mulberry, moringa and tithonia in animal feed, and other uses. Results in Latin America and the Caribbean, instituto de ciencia animal, FAO, Cuba pp 1-72.
Schmidek A, Takahashi R, Nuñes de Medeiros A, Resende KT (2002). Bromatological composition and degradation rate of mulberry in goats. pp. 207-211, in: M.D. Sánchez (ed.). Mulberry for Animal Production. Proceedings of an electronic conference carried out between May and August, 2000. FAO Animal Production and Health Paper P 147.
Seifu E (2014). Actual and Potential Applications of Moringa stenopetala, Under utilized Indigenous Vegetable of Southern Ethiopia: A Review International Journal of Agricultural and Food Research 3(4). ISSN 1929-0969
Seyoum B, Zinash S (1989). The Composition of Ethiopian Feedstuffs, Research Report no. 6. Institute of Agricultural Research; Addis Ababa, Ethiopia P 33.
Shinde KS, Avhad SB, Jamadar SV, Hiware CJ (2012). Impact of spacing, fertilizer on the productivity of mulberry (Morus alba L.) V1 variety. Life science Bulletin 9(2):276-280.
Singh B, Makkar HPS (2002) .The potential of mulberry foliage as a feed supplement in India. p. 139, In: M.D. Sánchez (ed.). Mulberry for animal production. Proceedings of an electronic conference carried out between May and August 2000. [FAO] Animal Production and Health Paper, No. 147.
Singh B, Singh P, Gill RIS (2016). Seasonal variation in biomass and nitrogen content of fine roots of bead tree (Melia azedarach) under different nutrient levels in an agroforestry system. Range Management. and Agroforestry 37(2):192-200. ISSN 0971-2070.
Stein-müller N, Sonder K, Kroschel J (2002). Fodder tree research with Moringa stenopetala - a daily leafy vegetable of Konso people, Ethiopia, 
Sultan JI. Rahim IU, Nawaz H, Yaqoob M, Javed I (2008). Nutritional evaluation of fodder tree leaves of northern grasslands of Pakistan. Pakistan Journal of Botany 40(6):2503-2512.
Teferi A, Solomon M, Lisanework N (2008). Management and utilization of browse species as livestock feed in semi-arid districts of northern Ethiopia. Livestock Research for Rural Development 20(6):86.
Tessema Z, Baars RMT (2004). Chemical composition, in vitro dry matter digestibility and ruminal degradation of Napier grass (Pennisetum purpureum (L.) Schumach.) mixed with different levels of Sesbania sesban (L.) Merr. Animal Feed Science Technology 117:29-41.
Tolera A, Yami A, Alemu D (2012). Livestock Feed Resources in Ethiopia: Challenges, Opportunities and the Need for Transformation. Ethiopian Animal Feed Industry Association. Printed by Image Enterprise PLC Addis Ababa, Ethiopia, pp. 37-44.
Upreti CR, Shrestha BK (2006). Nutrient Contents of Feeds and Fodder in Nepal, Feedstuff and Animal Production in Nepal. Animal Nutrition Division, NARC Kathmandu, Nepal. 
Van Soest PJ, Robertson JB, Lewis BA (1991). Methods for dietary fibre, neutral detergent fibre and non-starch polysaccharides in relation to animal nutrition. Dairy Science 74:3587-3597.
Walker KP (2007). Productivity of four fodder tree species, their nutritional value and potential role in ruminant production in eastern Botswana. Doctoral thesis, University of Stellenbosch.
Wambugu S, Kirimi L, Opiyo J (2011).Productivity, trends and performance of dairy farming in Kenya. Nairobi: Tegemeo Institute of Agricultural Policy.