Livestock Units Research Articles

Typology of Mixed Sheep and Goat Production System in the Regional Unit of Larissa, Greece

The study was carried out using a structured questionnaire in 162 sheep and goat farms of mixed production system in the Regional Unit of Larissa during February 2020 - February 2021. The Hierarchical Cluster Analysis application has shown three basic production systems. Cluster 1 consists of medium size holdings (233.02 livestock units), which earn additional income from other activities. Cluster 2 consists of rather large size farms (1,825.66 livestock units) with a net profit per female 2.61 euros. This type of farms breed livestock based on the semi-intensive and intensive production system, have large rented areas for the cultivation of feed, while the contribution of subsidies is especially high to the shaping of their gross income. The largest percentage (59.88%) of the holdings falls under the third cluster. These are specialized types of livestock farming, which present the largest net profit per livestock animal. 4% of this type of holdings breeds animals based on the semi-nomadic system while 100% uses common pastures as feed source.

BERAT POTONG AYAM BROILER YANG DIBERI EKSTRAK KUNYIT PUTIH (Curcuma zedoaria) DENGAN DOSIS YANG BERBEDA SECARA ORAL

This research was conducted to determine the effect of oral administration of white turmeric extract (Curcuma Zedoaria) at different levels on the slaughter weight of broiler chickens. This research will take place for 3 months, August – October 2023 at the Faculty of Agriculture, Department of Animal Husbandry, Livestock Unit, Pattimura University, Ambon. Completely Randomized Design (CRD) was used in this study with 4 replications and 4 treatments, the replications consisted of 6 chickens. The treatments applied were P0 = feed without giving turmeric extract (control), P1= feed + turmeric extract 0.7 ml/head, P2= feed + turmeric extract 1.4 ml/head, P3= feed + turmeric extract 2.1 ml /tail. The variables observed were feed consumption and slaughter weight. The results of the research conducted showed that oral administration of white turmeric extract had no significant effect (P > 0.05) on feed consumption and slaughter weight of broiler chickens. However, numerically the administration of white turmeric extract resulted in a higher increase in the slaughter weight of broiler chickens compared to the slaughter weight of broiler chickens without the administration of white turmeric extract.

Strategies of positive deviants in fodder conservation among smallholder dairy farming systems in highlands and midlands of Kenya.

Fodder scarcity and low quality affect the productivity of dairy cattle in Kenya yet only few smallholder dairy farmers show positive deviance in fodder conservation. Information on the strategies of such positive deviant (PD) farmers is scanty. The objective of this study was to determine strategies that distinguish PDs from peers (non-PDs) in fodder conservation among smallholder dairy farmers in highlands and midlands of Kenya. A cross-sectional survey was conducted among farms producing and conserving fodder in Tharaka Nithi County. Multistage sampling procedures was used; purposive sampling of the Sub-counties and locations, random selection of villages and proportional selection of 246 farms through snowball chain referral. Data were collected on demographic, socio-economic, farm characteristics and fodder conservation. Farms were categorized as PDs (n = 24) or non-PDs (n = 97). The PDs conserved fodder adequate to last dry season (about 3 months) and had milk yield 15kg/cow/day and above, while non-PDs do not qualify for both criteria. Chi-square and T-test were used to analyze categorical and continuous variables respectively. Logit regression was used to examine independent variables that influence probability of PDs. Farmers with high school and tertiary education who accessed extension services were PDs while non-PDs had non-formal and primary education and access extension less. Farms conserving hay and silage dominated PDs. Land in hectare (ha) and herd sizes in Tropical Livestock Unit (TLU) distinguished PDs (1.7ha and 9.0 TLU) from non-PDs (0.7ha and 3.3 TLU). The strategies that distinguished PDs from non-PDs were allocating land to fodder production, high milk yield kg/cow/day, large herd size and access to extension services. Increasing access to extension and resources (land) raised chances of PDs in fodder conservation. Knowledge of PDs strategies is important for fodder conservation, improve productivity and inform direction of future research.

Heat Stress in Beef Cattle: Climate Change and the Global Scenario – A Review

Abstract With the increasing human population and urbanization, the demand for animal origin products is going to grow, especially in the developing nations till the 2050s and the production needs to be escalated and optimized with the changing climate. Heat stress is known to reduce the animal performance, production, shelf life and meat quality in all animals. The beef cattle are globally reared, following different managemental practices, so the usage of natural resources like land and water, manpower, fodders, production systems and the environmental impact also varies profoundly. Recent changes in the climate, global warming and depletion of resources have severely affected the production and heat stress is now a common constraint all over the world. Due to evolutionary diversification the tropical and temperate breeds are comparatively more thermotolerant, but the beef cattle in the colder regions are vulnerable to high environmental temperatures. Also, the production of beef increases the carbon footprint and is much less eco-friendly than growing plant-based protein. So, we comprehended the environmental temperature variation over the continents and impact of heat stress on beef cattle. Also, other factors like cattle population, land and pasture usage, livestock units in trade, methane emissions and gross beef production value were examined to evaluate the collective impact of all these on the beef sector. Our findings and predictions reveal that, in the advent of climate change, depleting natural resources and rise in the greenhouse gases, beef production will be a constant challenge, which can be only achieved by maintaining a healthy cattle population and optimum usage of natural resources. Only then can the beef sector be efficient, sustainable, and a profitable enterprise in future.

Balancing Environmental Sustainability and Economic Viability in Luxembourgish Farms: An Agent-Based Model with Multi-Objective Optimization

To curb the impacts arising from the agricultural sector, the actions undertaken by policymakers, and ultimately by the farmers, are of paramount importance. However, finding the best strategy to reduce impacts, and especially assessing the effects of the interactions and mutual influence among farmers, is very difficult. To this aim, this paper shows an application of an agent-based model (ABM) coupled with life cycle assessment (LCA), which also includes multi-objective optimization of farming activities (including both crop cultivation and livestock breeding) from an economic and environmental perspective. The environmental impacts are assessed using the impact assessment scores calculated with the Environmental Footprint 3.0 life cycle impact assessment method and the study is conducted “from cradle to farm gate”. The model is applied to all the farms in Luxembourg, whose network is built utilizing neighborhood interactions, through which a parameter known as farmer’s green consciousness is updated at each time step. The optimization module is instantiated at the end of each time step, and decision variables (the number of livestock units and land allocation) are assigned based on profitability and specified environmental impact categories. If only profit optimization is considered (i.e., when farmers’ green consciousness is de-activated), the results show a 9% reduction in the aggregated environmental impacts (obtained as the Environmental Footprint single score) and a 5.5% increase in overall profitability. At the farm level, simulations display a clear trade-off between environmental sustainability and financial stability, with a 25% reduction in overall emissions possible if farming activities are carried out using the single score impact in the objective function, though this results in an 8% reduction in profitability over 10 years.

Effects of human–wildlife conflict on local people's livelihoods and wildlife conservation in and around Alitash National Park, northwest Ethiopia

Human–wildlife conflict has become one of the fundamental aspects of wildlife management. It threatens both wildlife and human welfare. People have injured, abused, and killed wildlife in response to perceived and/or actual damage from wildlife. Such negative interactions are common in adjacent protected areas (PAs) where people and wildlife share the same resources. However, the local contexts of the conflict around the most newly established PAs remain unaddressed. Thus, the aim of this study was to assess the effects of human–wildlife conflict on local people's livelihoods and wildlife conservation in and around Alitash National Park, Ethiopia. The data were collected by interviewing 198 households from 11 villages and conducting 3 focus group discussions and 12 key informant interviews. The survey questions were designed to understand the occurrence of wildlife damage, species involved, losses incurred, and local people's perception and reaction. The results revealed that 59.6% of the surveyed households encountered at least a single type of wildlife‐caused damage. Crop damage was the most prevalent, encountered by more than half (54%) of the households, of which 34.4 and 19.6% lost at most 25 and 75% of their crop fields, respectively. Common warthog, African porcupines, and common baboon were the top‐ranked wildlife species involved in crop‐raiding. The livestock loss from 2016 to 2020 was 287.89 tropical livestock units, which were shared by 47.5% of the respondents. Human attacks were rare, although 18 attacks by lion, spotted hyena, and leopard were reported by the study participants. The responses of the victims were negative and full of resentment to the wildlife. This undermines conservation efforts and the socio‐economic welfare of the local people. Thus, providing alternative livelihood opportunities and creating a context‐based conservation scheme along with continuous conservation education would help to reduce the negative effect of human–wildlife conflict on both wildlife and people.

How sustainable are agricultural practices in European Union countries? A spherical fuzzy logic based evaluation

ABSTRACT Climate change and population growth have heightened the need for a comprehensive framework to analyse the environmental impacts of agricultural practices. While traditional agricultural activities have detrimental environmental effects such as soil degradation, water pollution, and greenhouse gas emissions, sustainable agriculture is an innovative approach to minimizing humanity’s significant problems, such as depletion of natural resources, climate change, and biodiversity loss. In this study, a model is developed to evaluate the agri-environmental performance of countries. This model evaluates and ranks countries using the spherical fuzzy analytical hierarchy process and grey relational analysis methods within the European Union’s agri-environmental indicators framework. This study is among the pioneering studies to utilise the spherical fuzzy logic approach for determining the relative importance of agri-environmental performance criteria. The findings reveal that crucial factors such as the irrigable utilised agricultural area, the sales of pesticides per utilised agricultural area, and the share of main livestock types in total livestock units are critical to agri-environmental performance. In addition, in the implementation phase of the study, the performances of the European Union member countries are evaluated using the proposed model. This constitutes another contribution of the research. The results of this study indicate that Finland, Lithuania, and Sweden are the frontrunners in agri-environmental performance, while Italy, the Netherlands, and Malta rank lower. The model developed in this study has far-reaching implications for developing targeted environmental protection policies and advancing sustainable agricultural practices on a global scale.

Long-term dynamics of grasslands and livestock in Norwegian cultural landscapes: implications for a sustainable transition of rural livelihoods

ContextAbandonment of cultural landscape practices has had a notable impact on grasslands and domestic livestock that depend on them. This affects the prerequisites for sustainable transitions of cultural landscapes, which combine traditional livelihoods and novel ones like tourism.ObjectivesThe aims of this study were to explore (1) the long-term temporal dynamics of grassland and livestock in a regional gradient from coastal to inland landscapes in Norway and (2) the temporal development of tourism types among regions.MethodsUsing three regions as case studies, with 62 municipalities, we analyzed (1) the temporal dynamics of grassland and livestock using agricultural census data from 1918 to 1999 and (2) two tourism types. Kruskal–Wallis and ANOVA were used to examine whether the relative changes in grassland areas and livestock units, respectively, differed significantly among regions. A PCA was conducted to explore relationships between grassland and livestock types. The proportions of tourist categories were compared.ResultsThe grassland area and thematic resolution of census data declined over time. Grassland areas correlated with domestic livestock units. Multivariate analysis explained 68% of the variation in grassland and livestock types among municipalities. There was a notable increase in the number of tourists, with summer tourism dominating where the cultural landscape was well conserved.ConclusionsOur study underscores the importance of integrating regional historical trajectories for the conservation and use of valuable cultural landscapes, thereby providing sustainable transitions that combine traditional livelihoods and new types as tourism. Additional in-depth studies are needed to understand the detailed drivers of these changes.

Enteric methane emissions from zebu cattle are influenced by seasonal variations in rangeland fodder quality and intake

Rangeland fodder resources used to feed ruminants in the Sahel decline considerably in both quantity and quality from the wet to dry seasons. While it is widely assumed worldwide that this seasonality of fodder supply impacts intake levels and therefore enteric methane (eCH4) emissions, there are very few references based on in vivo measurements of eCH4 in this region. The purpose of this study was to test the assumption that the seasonality of fodder supply impacts intake levels and consequently eCH4 in ruminants. Thus, eCH4 was measured in vivo in Sudanese Fulani zebu cattle during three main seasons of the year (wet season: WS, cold dry season: CDS, and hot dry season: HDS). The experiment was carried out on 10 steers aged 32 months with an average (± SD) initial BW of 138 ± 5.8 kg (i.e. 0.55 Tropical Livestock Unit − TLU) and kept in individual pens. Animals were fed with natural rangeland fodder harvested each season following herders’ practices, i.e. green fodder in the WS and dry fodder hay in the CDS and HDS. Different levels of fodder were offered to the animals to reproduce the gradient of fodder availability on rangelands over the year (six trials): 3.3% BW during the CDS; 3.3, 2.3, and 1.4% BW successively during the HDS; and 2.3% in two sequential studies in the WS. Each trial lasted 3 weeks, split into 2 weeks of fodder adaptation and 1 week of data collection. The BW, quantity of voluntary DM intake, digestibility of DM digestibility and of OM digestibility, and eCH4 (GreenFeed® system) were measured for each animal. Fodder composition varied considerably between seasons (P < 0.05). The DM intake (g/kg BW per day) varied from 23.9 in CDS to 15.7 in HDS and 22.3 in WS (P < 0.001). The DM digestibility varied from 0.50 in CDS to 0.46 in HDS and 0.57 in WS. The eCH4 yields (g/kg DM intake per day) varied significantly from 25.2 in the CDS to 31.8 in the HDS and 20.5 in the WS. When extrapolated over a full year and irrespective of season, eCH4 emissions for steers amounted to 68.1 g/d (24.6 g/kg DM intake per day, 46.7 ± 3.34 kg of eCH4/TLU per year). Variations in the various parameters recorded in different areas and during the main seasons must therefore be accounted for in national inventories to refine eCH4 data for ruminants in Sub-Saharan Africa.

Carbon Footprint of an Extensively Raised, Low-Productivity Sheep Population

Extensive traditional livestock systems currently face various threats, leading to their disappearance. An example of these extensive livestock farming systems is the production of the Lojeña sheep breed in the Sierra de Loja (Granada, Spain), with a census of 24,511 ewes in 2021. The aim of this work is to calculate the carbon footprint (CF) of this local breed in this region. This study is based on data collected from 27 Lojeña sheep farms producing weaned lambs (≤14 kg, 25 farms), fattened lambs (≈25 kg, 7 farms), culled animals (24 farms) and greasy wool (27 farms). Most of these farms (78%) were organically (ORG) certified and seven were conventionally (CONV) managed. The analysed farms represent 93% of the total number of farms producing Lojeña sheep in the Sierra de Loja. The CF was calculated with a “cradle to farm gate” approach. The average C footprints were 27.5 ± 6.8 kg CO2eq kgLW−1 for weaned lambs, 21.8 ± 8.5 kg CO2eq kgLW−1 for fattened lambs, 4.1 ± 2.6 kg CO2eq kgLW−1 for culled animals and 2.2 ± 0.6 kg CO2eq kg−1 for greasy wool, with a not statistically different average CF in ORG than in CONV farms. Enteric fermentation represents the main source of emissions (&gt;60%) in all the products, and external feeding (including transport, and emissions from producing the feed) represents the second one (&gt;10%). There was an inverse relationship between CF and productivity (lambs sold ewe−1 year−1), leading to lower footprints on those farms with the higher productivity. A direct relationship between CF and stocking rate (livestock units ha−1) has been identified.

Microbiological and Molecular Investigation of Antimicrobial Resistance in Staphylococcus aureus Isolates from Western Romanian Dairy Farms: An Epidemiological Approach.

Antimicrobial therapy is the most frequently used medical intervention for bovine mastitis in the dairy industry. This study aims to monitor the extent of the antimicrobial resistance (AMR) problem in Staphylococcus aureus in the dairy industry in Western Romania. Twenty farms were selected by random sampling in a transverse epidemiological study conducted across four counties in Western Romania and divided into livestock units. This study assessed the association between the resistance genes to phenotypic expression of resistance and susceptibility. Isolates of S. aureus were identified and q-PCR reactions were used to detect antibiotic resistance genes. One hundred and fifty bovine and 20 human samples were positive for S. aureus. Twenty five percent of bovine isolates (30/120) and none(0/30) of the human isolates were methicillin-resistant S. aureus (MRSA). All isolates were susceptible to fosfomycin, ciprofloxacin, netilmicin, and resistant to ampicillin and penicillin. S. aureus isolates regarded as phenotypically resistant (R) were influenced by the origin of the samples (human versus bovine, χ2 = 36.510, p = 0.013), whether they were methicillin-resistant S. aureus (χ2 = 108.891, p < 0.000), the county (χ2 = 103.282, p < 0.000) and farm of isolation (χ2 = 740.841, p < 0.000), but not by the size of the farm (χ2 = 65.036, p = 0.306). The multiple antibiotic resistance index was calculated for each sample as the number regarded as phenotypically resistant (R)/total antibiotics tested (MARI = 0.590 ± 0.023) was significantly higher (p < 0.000) inmethicillin-resistant S. aureus (0.898 ± 0.019) than non-methicillin-resistant S. aureus (0.524 ± 0.024) isolates. For the antibiotics tested, the total penetrance (P%) of the resistance genes was 59%, 83% for blaZ, 56% for cfr, 50% for erm(B), 53% for erm(C), 57% for mecA and 32% for tet(K). Penetrance can be used as a parameter for guidance towards a more accurate targeting of chemotherapy. P% in S. aureus was strongly positively correlated with the multiple antibiotic resistance index (r = +0.878, p < 0.000) with the potential to use the same limit value as an antibiotic management decision criterion. Considering cow mastitis, the penetrance value combined with the multiple antibiotic resistance index suggests that penetrance could serve as a useful parameter for more precise targeting of chemotherapy for S. aureus.

Identifying Specific Targets for the Member States to Achieve the European Union's Goal of 50 per cent Reduction in Sales of Veterinary Antimicrobials by 2030

SummaryThis article proposes a tailored approach to reduce antimicrobial use (AMU) in livestock among EU countries, in alignment with the EU Farm‐to‐Fork initiative that targets a 50 per cent reduction by 2030. We argue against a one‐size‐fits‐all target and introduce country‐specific targets based on individual factors such as current antimicrobial sales, GDP, and livestock and human densities. Using data from the European Surveillance of Veterinary Antimicrobial Consumption (ESVAC), the article identifies countries with high densities of animals and humans, as well as high levels of AMU per livestock unit, such as Germany, Belgium, Italy, Spain and Poland, as needing to prioritise greater reduction efforts. The article also underlines the need for a more precise EU‐level indicator of AMU, as sales do not directly represent use. It suggests that specific targets and regulations should apply to antimicrobials classified as ‘Highest Priority Critically Important Antimicrobials’ by the WHO. The article recommends extending these targets to different sectors and even individual farms, with high‐consumption sectors and poorly performing farms making greater efforts. By considering these factors, the article aims to provide a fair and effective approach to reducing AMU, mitigate the risks associated with antimicrobial resistance, and contribute to achieving the Farm‐to‐Fork strategy AMU reduction target.

Impact of credit use on crop productivity and gross income of smallholder farmers: a propensity score matching approach

BackgroundAgriculture is Ethiopia’s principal economic activity, employing the vast majority of the population, however, smallholder farmers in the country face long-standing challenges, including low levels of production, low income, and less credit use. This study aimed to analyze the impact of access to credit on crop productivity and income among small-scale farmers in the study area.MethodsWe conducted a cross-sectional study from January 1st to 30th, 2022. Primary data were collected from purposely selected seven (7) kebele of the district based on potential users of agricultural credit. Then the impact was investigated by applying the propensity score matching technique. A Probit regression model was used to determine factors associated with credit use. The significance of the variables was decided at a 5% level of significance.ResultsIn our study, a total sample of 347 smallholder farmers were randomly selected, out of which 42.9% were credit-users while 59.1% were non-users. Regarding sources of credit use, Vision Fund was the most commonly used source of credit with 67.8% of users, followed by the Omo Microfinance institution with 22.1%. Sex of the farmer, age of the farmer, existence collateral, farm size, attitude towards risk, extension service, membership in credit institutions, road access, and number of total livestock units in tropical livestock units (TLU) had significant effects on credit use at a 5% level of significance. Moreover, the estimates showed that utilizing credit resulted in a rise in crop productivity in current market value and total yearly income by 19,302.44 and 18,009.63 respectively.ConclusionOur study suggested that credit use had a considerable impact on crop productivity and total annual income. As a result, the study recommended that the government’s rural finance policy agenda should prioritize opening different branches near farmers, improving credit usability, and providing more training programs to smallholder farmers to improve their skills and help reduce the problems that impede their use of agricultural credit.

Small and medium-sized entities in livestock sector of the Republic of Kazakhstan: factors of increasing production volumes

The goal is to study the current situation and prospects for the development of livestock farming in the Abay region, identify main problems and determine ways to solve them, aimed at stimulating and increasing the efficiency of the industry. Methods – to prepare the article, various economic research methods were used: abstract-logical, monographic, synthesis and analysis, comparative and statistical, systematic approach. Results - analysis of the state of livestock sector in this region in 2021-2023 was carried out based on comparison of indicators of the number of livestock of farm animals and poultry, production volumes, output per unit of livestock, use of resources, feed, pasture lands, and the size of attracted investments in fixed capital. The dynamics of the amount of processed livestock products is considered, main limiting factors are identified, and the possibilities of small and medium-sized business entities for growing the potential of processing industry are shown. Conclusions - main problematic issues of livestock farms in the region include: ineffective realization of potential due to insufficient access to innovative technologies, low level of developed infrastructure, risks of livestock diseases, lack of feed, lack of domestic large processing enterprises in the dairy industry, low utilization of their production capacities . An effective and efficient tool is proposed as measures to support small agricultural producers - government procurement of food products from small farmers in the region based on the division of large contracts into lots. This method is widely used in EU countries, which has allowed small-scale farmers to expand access to the national market, increase their incomes and contributed to the growth of employment in rural areas.

POTENSI KETERSEDIAAN LIMBAH TANAMAN PANGAN SEBAGAI PAKAN TERNAK SAPI POTONG DI KABUPATEN MUNA BARAT

West Muna Regency in Southeast Sulawesi Province is a new autonomous region where the majority of the population is engaged in plantation, agriculture, livestock, and fisheries sectors. In the livestock sector, the population of beef cattle in this area reached 23,388 heads in 2023. However, cattle rearing still depends on natural forage whose production is limited due to seasonal changes and land conversion. This research aims to analyze the potential of food crop waste as a source of feed for beef cattle in West Muna Regency, using secondary data from BPS West Muna in 2023, with descriptive analysis methods. Data analysis is based on calculations of livestock units (ST), food crop waste dry matter (BK), waste carrying capacity and waste carrying capacity index (IDD). The analysis results show that the harvested area for food crops is 9,671 ha with the main commodities being corn (6,372.6 ha), peanuts (1,607.6 ha) and rice (1,048.9 ha). The potential of dry matter from food crop waste reaches 33,221.7 tons of DM/year, with the largest contribution from corn (28,676.7 tons of DM/year). West Muna Regency has an IDD for feed from food crop waste of 0.89, which shows that 89% of beef cattle feed needs can be met from food crop waste. Four sub-districts have an IDD of more than 1, namely Wadaga, Lawa, Barangka, and Sawerigadi, indicating the potential for dry mater from feed crop waste to exceed the needs of the beef cattle population in these sub-districts. The sub-districts with the lowest IDD are Napano Kusambi, Tiworo Tengah, Tiworo Pulau, and Tiworo Utara.

Empirical Analysis on Economic Sustainable of Rice Rain-Fed Area in Rural Cambodia

This paper investigates the economic sustainability of Cambodian rural rice farmers. Rice in Cambodia is a stable crop just as in many other Southeast Asian countries. The rice plants not only provide food to people but also a source of feed for livestock. Based on survey about of 6 districts of the rural household in Battambang of Cambodia, a total 204 rice farmers were interviewed and multiple regression models was applied using the method of Ordinary Least Squares (OLS) to determine the factors affecting the Crop-livestock farmers’ disposable income. The study aggregated the livestock of 3 species including cattle, pig and chicken in cattle unit standard known as Livestock Unit (LU). The result of the empirical analysis shows that many household demography factors as well as the socioeconomic factors influences the disposable income. The findings in the study provide an insight to the government and extension offices on effective development of economic sustainability of rice farming and livestock production system in the regions; investing more in public animal healthcare; ensure stable market prices for both rice and livestock, paying more attention on the factors limiting income in particular to poorer provinces and districts. Provide irrigation facilities accompanied with high technological varieties to encourage the double or even triple rice seasons. In addition, government (especially the ministry of agriculture) should embark on technological transfer among provinces and countries with successful agricultural system, orient farmers on the potential benefits of crop-livestock farming, provide training ground and scheme to local farmers.

A multinomial logit model analysis of determinants of community forest management approaches: evidence from northern Ethiopia.

Abstract For efficient and sustainable forest management, community engagement and participation are crucial. Sustainable forest management requires decision-making, plantation, and management approaches, in addition to the importance of indigenous knowledge and community opinions. The study examined the determinants of community-based forest management practices in Ethiopian Raya-Alamata Woreda. A semi-structured questionnaire was given to 195 randomly chosen sample respondents as part of the survey in order to gather primary data. Additionally, key informants, development agents, woreda forest supervisors, and local administrators were interviewed. Secondary data were gathered from books, woreda agriculture office, and scientific publications. The data was analyzed using a multinomial logit model and descriptive statistics. The results showed that distance to the forest negatively influenced participation in decision-making, while sex, education, and TLU positively influenced it. Age, home proximity to the forest, market distance, and tropical livestock unit negatively influenced participation in plantation. Age, family size, forest location, and association membership positively influenced decision-making and management approaches. To promote all-inclusive forest management, the study recommends the distribution of forestry-related educational materials, legal action against illegal users, switching to alternative energy sources, and encouraging female-headed households.

Does the Trade of Livestock Products Enhance Micro-Nutrient Availability While Minimizing Environmental Impact?

Providing sufficient, high-quality food without compromising efforts in climate change and environmental pollution control is a long-term imperative for humanity. Livestock product trade may help bridge the gap in micro-nutrient supply; however, its potential environmental impacts remain underexplored. Using data from 200 countries and 77 different livestock commodities from 1961 to 2019, this study uncovers the impact of livestock trade on micro-nutrient productivity per livestock unit and per feed nitrogen input. Our results indicate that livestock trade has improved productivity for all seven studied micro-nutrients over the past 59 years, except for vitamin A. This improvement has led to a substantial reduction in the number of livestock units and feed nitrogen requirements needed to deliver the same amount of micro-nutrients, thereby reducing related greenhouse gas emissions and nitrogen losses globally. Generally, livestock trade has become more optimal and functional in terms of livestock productivity and feed use efficiency, particularly in the most recent decade, although there were slight differences between various micro-nutrients. We recommend continuing and potentially increasing international livestock trade, given the higher efficiency gap between exporting and importing countries; however, this should be structured more appropriately.

CROP RESIDUE AS OPTIMUM FEED SOURCING FOR LIVESTOCK KEPT UNDER FREE RANGE CONDITIONS WITHIN THE BLUE NILE BASIN OF SUDAN

The present study was initiated show that the best feed sourcing for animal production could crop-livestock under rangeland conditions of arid environment within the Nile basin ecosystem. For crop-livestock production systems, livestock water productivity (LWP) was used to indicate water utilized by the animal converted to useful products. Parameters measured were: biomass availability from rangelands and crop residues, supply versus demand for the different animal species and treated crop residues to improve animal performance. Trends in rangeland productivity, crop residue biomass and animal’s number and herd structure were measured through the years 2014 – 2018 in seven localities of Sennar state. Total biomass in the form of crop residues and biomass from range was calculated to determine the livestock demands during the dry season; this was done by utilizing Tropical livestock unit (TLU) equivalents and basal metabolic rates. Rangeland status was estimated using remote sensing. using multiple sets of Sentinel-2 and Landsat images (in case of cloud cover in the Sentinel-2 image). Crop production was projected for the summer season from the ‘Ministry of Agriculture’, Further available crop residues were calculated as: 1kg sorghum seed gives 3kg sorghum straw, 1kg millet seed gives 3 kg straw, 1kg ground nut pod gives 2kg straw. The biomass demand was calculated based on the data from Arab Organisation for Agricultural Development that annual animal unit demand is 2.4 tons. This was translated to the biomass demand of approximately 6.5 kg per day per animal unit. The International Livestock Research Institute (ILRI) estimation of animal maintenance energy of 11,000 Kcal per LTU per day for grazing cattle in Africa, for maintenance energy, would require about 5 kg per tropical livestock unit per day of feed for maintenance. The amount of evapotranspiration required to produce this feed would be about 1.25 cubic meters per TLU per day or 450 cubic meters per tropical livestock unit per year. This compares with 25–50 liters a day or 9–18 cubic meters per tropical livestock unit per year for drinking water. Hence for each locality biomass demand was calculated as: No. of AU in the locality x 6.5 kg dry matter/day. Animal experimentation utilized 2 dairy goats fed with straws treated with 5% urea and Student t-test was used to obtain the significance between the control and treated animals. The results showed that contribution of crop residue to the biomass was very important and increased over the years for Abu Hougar it was maintained around 90%, for El Dali increased from 3% to 888% in year 2018. For El Dinder, El Souki and Sinnar increased to reach 454%, 775%, 219% respectively in the year 2018. However, Singa showed a decline in crop residue from 526 to 163%. Availability of the biomass showed high variability among the localities. Animal’s number changed slightly over the years. Except for Sharg Sinnar. Sheep population was the highest while camels were the lowest in all localities, but herd structure was not the same where cattle, sheep and goats were comparable at El Souki and Singa. Camels and goats were comparable in El Dinder only. Abu Hougar and El Dali showed lower population of cattle and goats. At Sinnar, goats and cattle population was nearly the same. Sharg Sinnar showed comparable ratios for sheep, cattle and goats. As for animal experimentation where dairy goats were used to test the crop residue treated with urea on food intake and milk yield, it was found that while food intake decreased significantly (P&lt;0.05), milk yield increased significantly (P&lt;0.001). It could be concluded that for crop livestock-water ecological system, crop residues as feed sourcing is considered the optimum biomass supply for animals during the summer season where there is no additional water is required, livestock water productivity (LWP) could be increased with better management of soildegradation, water runoff and rangeland conservation.

Determinants of Smallholder Farmers’ Decisions to Use Multiple Climate-Smart Agricultural Technologies in North Wello Zone, Northern Ethiopia

Climate change presents significant challenges to agriculture in developing nations, affecting farmers’ livelihoods and food security. In Ethiopia, agriculture is crucial to the economy and the well-being of millions. This study focuses on analyzing the determinants that affect smallholder farmers’ adoption of climate-smart agriculture (CSA) technologies in the North Wello administrative zone, northern Ethiopia. Through multivariate and ordered probit econometric models, data from 411 rural household heads were analyzed. Results reveal the synergy among climate-smart agricultural practices in rainfed farming systems, essential for crafting a comprehensive CSA package within an agroecological framework. The multivariate probit estimation results show that education, membership in local organizations, farm size, tropical livestock unit (TLU), irrigated land ownership, plot number, steep slope, farmland distance to home, and access to a local media source are positive determinants for the decision to use the type and several climate-smart agricultural practices. Lack of credit, large family size, distance from extension services, and proximity to the nearest market were all associated with lower adoption of all CSA technologies. The findings suggest that blanket recommendations for climate-smart agricultural technologies for smallholder farmers can be avoided. The complementarities that exist between CSA technologies may require further investigation into how such complementarities have benefits in terms of improving land productivity and food security and reducing climate-related risks for smallholder farmers in Ethiopia and other contexts. Moreover, by emphasizing an agroecological framework, the study promotes environmentally sustainable and socially equitable agricultural practices that are economically viable, contributing to broader environmental sustainability and development goals.