Mixed Crop-livestock Farming Research Articles

Assessment of legume species for biological nitrogen fixation potential in smallholder farming systems of Kiambu County, Kenya: A participatory approach

This study examined the Biological Nitrogen Fixation (BNF) potential of various legume species in Limuru, Kiambu County, Kenya, focusing on smallholder mixed crop-livestock farmers. Nitrogen is vital to plant growth, particularly for protein synthesis and photosynthesis. Biological nitrogen fixation (BNF), a process by which legumes transform atmospheric nitrogen into a usable form, increases soil fertility and decreases synthetic fertilisers need. The problem addressed was identifying the most effective legumes for improving soil fertility in this region. Using purposive sampling, community-based organisations (CBOs) participated in focus group discussions, where farmers planted experimental plots, collected soil samples, and counted nodules. Destructive sampling was employed during flowering to assess nodulation, with nodules classified based on their ability to fix nitrogen. Results showed Rose coco beans ranked highest due to their efficient nitrogen fixation and adaptability to varying soils and temperatures, followed by Albus lupin and Black and White faba beans. Desmodium also demonstrated persistent nodulation, while indigenous Kienyeji legumes, though less efficient, improved soil fertility. Garden peas, cowpeas, and green grams had lower nitrogen-fixing performance in Limuru's cool, humid climate. This study concludes that Rose coco beans and Albus lupins are highly suitable for improving soil fertility in the region. Participatory methods strengthened farmers' knowledge of sustainable agriculture, and qualitative data highlighted the practical value of BNF legumes. Future research should expand legume trials and explore the use of rhizobia inoculants to further enhance BNF efficiency, supporting long-term agricultural sustainability.

Assessment of livestock husbandry practices and production constraints among smallholder mixed crop-livestock production systems in the Majang zone, southwest Ethiopia

Livestock production plays a significant role in improving the livelihoods of poor smallholder farmer households in the Majang zone. However, despite its importance, there is limited information on husbandry practices and constraints on livestock production to design and implement effective interventions to maximize productivity. The aim of this study was to assess husbandry practices and major constraints on livestock production in the Majang zone, southwest Ethiopia. A semi-structured questionnaire was used to collect data from a randomly selected sample of 168 households (HHs) through a face-to-face interview from January to May 2021. The results revealed that mixed crop-livestock farming is the dominant livestock production system in the study area. The overall average herd size per household (HH) was 2.15 ± 0.11 cattle, 0.15 ± 0.01 sheep, 0.31 ± 0.09 goats, 0.10 ± 0.02 donkey, 0.04 ± 0.00 mule, 0.13 ± 0.02 horses and 0.24 ± 0.02 chickens. Overall herd size did not differ significantly by AEZ except for sheep (p < 0.05). The primary reason for keeping cattle, goats, sheep, equines and poultry were milk production (27.4 %), meat for home consumption (33.9 %), cash income (33.3 %), transportation (85.1 %), and meat for home consumption (72 %), respectively. In the dry and wet seasons, natural pasture, crop residues, indigenous fodder trees and shrubs (IFTSs), nonconventional feed resources (NCFRs), crop stubbles and improved forages were the main livestock feed resources. The majority (60.1 %) of respondents practiced free-grazing systems. Separate sheds, family dwellings, kraals, and open-walled sheds were the main housing systems used for animals. The majority (79.2 %) of respondents used rivers as a source of livestock drinking water. Trypanosomiasis (18.45 %), African horse sickness (66.1 %) and Newcastle disease (47.02 %) were the most important diseases of livestock. Diseases (35.7 %), lack of access to artificial insemination (35.7 %) and inadequate veterinary services (11.3 %) were identified as the top three constraints limiting production. It is recommended that constraints identified by farmers should be considered in developing and implementing effective interventions to improve livestock productivity and their contribution to poverty alleviation in the study area.

Characterization of smallholder irob cattle production system: contributions to develop a breeding program.

An exploratory survey (i) to investigate livestock production system, reproductive and production performance of Irob cattle and (ii) to recognize constraints to cattle production was conducted in eastern Tigray zone, northern Ethiopia. Six tabias (the smallest administrative unit consisting of several villages) were chosen using purposive sampling method and households from each tabia were randomly selected. Mixed crop-livestock farming system dominates the study area. Overall herd size was 5.3 ± 2.7, with each herd comprising of 1.7 ± 1.2 cows, 1.4 ± 0.9 oxen, 0.5 ± 0.7 heifers, 0.5 ± 0.7 bulls and 1.2 ± 0.9 calves. Cattle are kept for draught power (index = 0.43), milk (index = 0.32), income (index = 0.15), manure (index = 0.06) and crop threshing (index = 0.04). Major feed resources in the study area were natural pasture, crop residue and cactus pear (Opuntia ficus-indica). Overall mean (± SD) for age at first services (AFS), age at first calving (AFC), calving interval (CI), days open (DO), daily milk yield (DMY) and lactation length (LL) was 28.3 ± 3.9 months, 37.4 ± 5.5 months, 15.5 ± 4.1 months, 6.5 ± 1.8 months, 1.7 ± 0.4L and 7.4 ± 2.0 months, respectively. There was no significant (p > 0.05) difference in performance traits between districts. Well-known cattle production constraints in order of significance were feed, disease and parasites, AI, water and veterinary service. In conclusion, the study shown importance of taking into account the production environment in developing breed improvement program and recommends fit management system.

Critical climate-stress moments for semi-arid farming systems in India

In the face of the increasing frequency of climate stresses, climate change projections can help in adaptation planning and resilience-building. However, typical climate change projections, such as annual average rainfall and temperature increases, are not helpful for farmers in understanding specific climate risks, like crop loss, and making adaptation decisions. Our study aims to identify and characterise context- and time-specific climate stresses in terms of climate conditions of concern to improve the understanding of future climate risks and enhance the climate resilience of semi-arid farming systems in India. Utilising the concept of critical climate-stress moments, we employ an innovative bottom-up methodology integrating insights from focus group discussions with farmers, key informant interviews, and an ensemble of downscaled and bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP-6) models. Our case studies include (i) a mixed crop-livestock farming system, (ii) a horticulture-based farming system, (iii) a cash crop–dominant farming system, and (iv) a cereal-dominant farming system. The specific climate conditions of concern identified were (i) increasing volume of late-monsoon rainfall, (ii) rising winter temperatures, (iii) increase in the number of days with temperatures exceeding 40 °C, (iv) increase in days with heavy rainfall (> 25 mm), and (v) increasing rainfall during the dry season. Identifying these critical moments improves understanding of both the temporal and spatial variations in climate risks, providing valuable inputs for targeted and implementable climate resilience–building actions. We recommend revising national and state action plans on climate change by utilising such region-specific assessments of critical climate-stress moments.

Soil fertility in mixed crop-livestock farming systems of Punjab, Pakistan: The role of institutional factors and sustainable land management practices

CONTEXTSoil salinization is a significant environmental challenge prevalent in arid and semi-arid regions, causing adverse effects on crop yields and jeopardizing household food security. Previous research has examined the influence of institutional dynamics and the adoption of sustainable land management practices in bolstering agricultural output, and some have investigated the interplay among socioeconomic determinants, institutional frameworks, and the uptake of climate-resilient and sustainable methodologies, or the association between soil health and agricultural productivity. Yet, there has been a lack of studies that considered this relationship altogether and their role in enhancing soil fertility. OBJECTIVEWe investigate the relationship among socioeconomic and institutional factors, adoption of sustainable land management practices, and the resulting changes in soil fertility between 2016 and 2019 within the context of mixed crop-livestock farms in the three irrigated agroecological zones of Punjab, Pakistan. A household survey was conducted in 2019 to complement soil attributes data collected by the Government of Punjab in 2016. Households that implemented sustainable land management practices between 2016 and 2019 were analysed to investigate the effect of various factors on soil fertility, including the adoption of sustainable land management practices and their influence on soil fertility dynamics. METHODSA structural equation model was employed to examine the relationship among exogenous variables, moderating variables, and endogenous variables, to explain their collective influence on soil fertility between the two periods. RESULTS AND CONCLUSIONSThe key findings highlight the significant role of institutional factors, including access to formal information channels such as extension services, demonstration trials, and credit facilities, alongside secure land rights, in predicting the adoption of sustainable land management practices such as gypsum application, laser land leveling, farmyard manuring, and agroforestry. Furthermore, specific SLM practices, particularly agroforestry featuring intercropping with Acacia spp. and farmyard manure application, exhibited positive impacts on change in soil organic matter, albeit with agroforestry showing a negative influence on soil phosphorus levels. The adoption of gypsum and LLL displayed positive effects on soil phosphorus levels over time, contrasting with LLL's adverse impact on soil organic matter. SIGNIFICANCEOur findings suggest that soil fertility benefits from policies enacted through public-private partnerships that lead to improved access to sustainable land management information, reduced credit barriers, establishment of local soil testing facilities, and expedited land entitlement processes. These findings highlight the critical role of collaborative partnerships and institutional arrangements in enhancing agricultural productivity and environmental sustainability.

Milk Production, Quality Parameters, and Bacterial Colony Counts of Raw Milk from Murrah Buffaloes Reared in Mixed Crop-Livestock Systems

This research aimed to assess the quantity and quality of raw Murrah buffalo milk in a mixed crop-livestock farming system in North Sumatra, Indonesia. The study was conducted at the Sumber Ternak Abadi livestock farm in Pagar Merbau District, North Sumatra, Indonesia, established in 2012 within an oil palm plantation. The study observed 40 lactating Murrah buffaloes. Variables included milk production and quality metrics such as total plate count in colony-forming units per ml, water content percentage, total solids, fat content, and pH. Results demonstrated a milk yield standardized to 305 days ranging from 1,200.78±490.25 to 1,505.71±589.73 kg/head/lactation. The total plate count was 2.1 x 105 ± 0.32 CFU/ml, total solids were 16.87% (w/w), fat was 5.7% (v/v), and pH was 6.73. The results confirmed that the raw Murrah buffalo milk from the observed farm meets the Indonesian National Standard for milk quality. A significant positive correlation was found between water content and total bacterial colony count (r = 0.82, p &lt; 0.01), suggesting that higher water content in milk correlates with increased bacterial colonies.

Tailoring interventions through a combination of statistical typology and frontier analysis: a study of mixed crop-livestock farms in semi-arid Zimbabwe

Summary An innovative methodological approach combining statistical typologies and stochastic frontier analysis was applied to data collected from 1840 mixed crop-livestock farms in six districts of Zimbabwe, representative of semi-arid areas of the country. The average annual cereal production was 362 kg farm–1, and the average annual livestock offtake was 0.64 ± 1.32 Tropical Livestock Units (TLU) farm–1. Our results demonstrate there is scope to increase cereal and livestock production by 90.7% and 111.9% relative to current production levels, respectively, with more efficient use of existing resources and technologies. Rainfall was found to have a strong effect on cereal production, highlighting the need for climate-smart practices. Livestock mortality (0.59 ± 1.62 TLU farm–1) was found to be in the same order of magnitude as livestock offtake (0.64 ± 1.32 TLU farm–1). Cereal production was supported by livestock, demonstrating the importance of crop-livestock interactions in these mixed farming systems. Three farm types were identified in our analysis. Crop-oriented mixed farms (31%) are likely to be the ones most responsive to crop-specific interventions e.g., crop rotation and integrated pest management. Livestock-oriented mixed farms (34%) are likely to benefit the most from livestock-specific interventions, e.g., home feed. Mixed farms dependent on off-farm activities (36% of the sample) may require nutrition-sensitive and labour-saving sustainable intensification technologies to benefit from their limited resources. Reducing cattle mortality is a priority for all three farm types. The method proposed here could be adapted to other contexts characterized by heterogeneous farming populations to target interventions.

Alternative cropping and feeding options to enhance sustainability of mixed crop-livestock farms in Bangladesh

Alternative cropping and feeding options to enhance sustainability of mixed crop-livestock farms in Bangladesh

Impact of public subsidies on persistent and transient technical efficiency: evidence from French mixed crop-livestock farms

ABSTRACT This study contributes to the existing literature on the influence of public subsidies on farmers’ technical efficiency by highlighting the importance of separating persistent and transient inefficiency. Using data from a sample of French mixed (crop-livestock) farms, and relying on recent developments in stochastic frontier analysis, we find that public subsidies are positively associated with both persistent and transient technical inefficiency. The effect of public subsidies on persistent technical inefficiency suggests that they induce sluggish adjustments (restructuring) in farm management practices.

Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes

AbstractAnalysis of hydro‐climatological time series and spatiotemporal dynamics of meteorological variables has become critical in the context of climate change, especially in Southern African countries where rain‐fed agriculture is predominant. In this work, we compared modern unsupervised time series and segmentation approaches and commonly used time series models to analyse rainfall regime changes in the coastal, sub‐humid and semi‐arid regions of Southern Africa. Rainfall regimes change modelling and prediction inform farming strategies especially when choosing measures for mixed crop–livestock farming systems, as farmers can decide to do rainwater harvesting and moisture conservation or supplementary irrigation if water resources are available. The main goal of this study was to predict/identify rainfall cluster trends over time using regression with hidden logistic process (RHLP) or hidden Markov model regression (HMMR) supplemented by autoregressive integrated moving average (ARIMA) and Facebook Prophet models. Historical time series rainfall data was sourced from meteorological services departments for selected site over an average period of 55 years. Commonly used approaches forecasted an upward rainfall trend in the coastal and sub‐humid regions and a declining trend in semi‐arid areas with high variability between and within seasons. For all sites, Ljung‐Box Test Statistics suggested the existence of autocorrelation in rainfall time series data. Prediction capabilities were investigated using the root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) which indicated not much difference between ARIMA and Facebook Prophet models. RHLP and HMMR offered a unique clustering and segmentation approach examining between and within‐season rainfall variability. A maximum of 20 unique rainfall clusters with similar trend characteristics were determined as going beyond this brought non‐significant difference to regime changes. A clear trend was exhibited from 1980 going backwards as compared to recent years signifying how unpredictable is rainfall in Southern Africa. The unsupervised approaches predicted a clear cluster trend in coastal than in sub‐humid and semi‐arid and the performance was assessed using Akaike information criteria and log‐likelihood which showed improvement in prediction power as the number of segmentation clusters approaches 20.

Interventions to reduce camel and small ruminant young stock morbidity and mortality in Ethiopia.

Morbidity and mortality of young stock is a challenge for livestock producers globally. In Ethiopia, where camels and small ruminants (sheep and goats) are essential smallholder and pastoral livestock, young stock losses can cause severe consequences to livelihoods. This pilot study, part of a Government-led Young Stock Mortality Reduction Consortium project, was undertaken to identify and evaluate interventions to reduce young stock mortality in mixed crop-livestock and pastoral production systems in Ethiopia. Pastoralists and mixed crop-livestock farmers were enrolled by convenience sampling across four regions. Households were sampled with questionnaire surveys to establish baseline mortality risk and prevalence of diarrhoea and respiratory disease in animals younger than one year, and followed longitudinally over a one-year period, with final evaluations conducted from March to July 2020. Mortality risk and prevalence of diarrhoea and respiratory disease before and after implementation were compared using Poisson regression models including household as random effect. Prior to intervention, median camel mortality, prevalence of diarrhoea, and respiratory disease across production systems in the different households was 0.4, 0.44 and 0.2, respectively. This compared to median pastoralist small ruminant mortality risk and prevalence of diarrhoea and respiratory disease of 0.45, 0.32 and 0.18, respectively. Post-intervention, median camel mortality, prevalence of diarrhoea and respiratory disease dropped to 0.1, 0.08 and 0. Similarly, more than half of the small ruminant households reported no mortality, and no cases of diarrhoea or respiratory disease. In camels, rate ratios of mortality risk, prevalence of diarrhoea, and respiratory disease post-intervention compared to the baseline were 0.41, 0.41 and 0.37. In small ruminants, rate ratios were 0.33, 0.35 and 0.46. All reductions were statistically significant (p<0.01). Generally, pastoralists experienced higher mortality and disease prevalence compared to mixed crop-livestock smallholders, and the effect of intervention was slightly higher in pastoralist households. The pilot study findings demonstrated highly significant reductions in mortality and risk of diarrhoea and respiratory disease post-interventions. However, not all households benefitted from the interventions, with a few households reporting increased mortality and morbidity. Many households had very few animals which made it challenging to measure impact and the study was conducted over a single year, without a control group, so between year effects could not be accounted for in the reductions observed. These findings should contribute to improved livestock productivity in Ethiopia.

Can low-input agriculture in semi-arid Burkina Faso feed its soil, livestock and people?

Agriculture in semi-arid Burkina Faso is dominated by mixed crop-livestock smallholder farms with limited investment capacity in production factors, such as improved seeds, fertilizer and equipment. Hence, to make a living, farmers try to make the best use of available resources based on principles of agro-ecology, including crop diversity and nutrient and biomass recycling. We investigated farm-level management of resources (soil, crops and livestock) through time to assess whether the current management options were able to sustain crop and livestock production and fulfil household food requirements. We ran a one-year detailed farm monitoring campaign in collaboration with 22 volunteer farmers representing the diversity of the farming system in our study area. We quantified inputs and outputs in the cropping system (177 fields) for one rainy season. In addition, the weekly dynamics of crop residues left on field were quantified. Moreover, inflow and outflow of resources at farm level were quantified weekly. The cropping system was characterized by a negative nitrogen balance of about 12 kg N/ha/year, with market-oriented farms and large livestock owners having the most negative balance. Legumes grown (sole and intercropping) contributed to alleviate the nitrogen depletion by adding 15 kg N/ha/year to the nitrogen inputs through atmospheric fixation. However, cereal-legume intercropping did not significantly reduce the nitrogen deficit in comparison to sole cereal cropping mainly because of the small proportion of legumes (8%) in intercropped fields. Livestock grazed crop residues left on the soil (739 kg dry matter/ha on average) at a rate of 26 − 76 kg/ha/week, thus strongly reducing the potential for mulching in the region. Livestock protein requirements were rarely met from farm-produced feed with average feed gaps ranging between 40% and 89% of the daily requirements for small and large herd keepers respectively. Large livestock (cattle) owners relied on transhumance during the rainy season, grazing and frequent purchase of crop residues and concentrates to feed their livestock. We estimated that grazed biomass provided on average at least 73% and 58% of metabolizable energy and protein feed requirement of livestock respectively. Concerning food availability, the amount of grain produced was generally enough to fulfil household energy requirements (89–175% of required energy, in kcal), even if households with higher people to land ratio were not self-sufficient. We concluded that the current farm management, even if it provides enough food for the majority of investigated farms, results in soil fertility mining and poor crop livestock production and integration. Our detailed farm data indicate that an appropriate diversity of crops and a better integration of legume crops in the cropping system, associated to improved manure and forage management is needed to sustain crop and livestock production.

Determination of feed balance for smallholder mixed crop–livestock farming system in Adwa district of Tigray, Northern Ethiopia

Determination of feed balance for smallholder mixed crop–livestock farming system in Adwa district of Tigray, Northern Ethiopia

Applying circular economy principles to intensification of livestock production in Sub-Saharan Africa

In the context of sustainable agricultural development, much has been made of the need to apply agroecology or regenerative principles to improve rural livelihoods and to align the sector with critical planetary health boundaries. This movement is a reaction to the perceived private and social costs arising from both production and consumption associated with industrialised agriculture, mostly in upper-income countries, with several default assumptions being apparent about applicability elsewhere. The notion of circularity, or the circular economy, is frequently conflated with agro ecological rhetoric, often overlooking a longer tradition of circular resource use efficiency in traditional mixed crop–livestock farming in low-income settings. This paper examines the concept and origins of circularity and reviews some examples of historic circular economy research within the international agricultural research system as applied to smallholder agriculture. These include (i) studies focusing on the impact of crop residue retention, (ii) work on residue incorporation and/or mulching and their effects on crop yields and soil fertility, (iii) research on the effects of manure use on crop yields and soil fertility and (iv) work on the feeding of crop residues to livestock. We consider some promising innovations or practices adhering to circular economy principles. Candidate innovations focus on the improvement of livestock feeding practices including the breeding of dual-purpose crops to enhance livestock nutrition, conversion of cereal straw residues to high-quality feed, use of cassava waste as livestock feed and use of insects as livestock feed. We conclude by considering how circular bio-economy principles might be maintained in the future evolution of food systems in Sub-Saharan Africa.

Looking for the local ‘grant-grabbers’: Cattle farmers' criticisms and emerging environmental subjectivities in southwestern France

Meeting the challenge of “turning farmers into conservationists” is fundamental to tackling the climate/biodiversity crisis in the European Union. This is especially true in marginal areas, where environmental stewardship is (one of) the main justification(s) for the large amount of subsidies directed to largely unprofitable forms of agriculture, notably through agri-environmental and climatic measures (AECM) targeting cattle farmers. This article intends to analyse the confusing and sometimes reciprocal accusations of misuse of the Common Agricultural Policy (CAP) which are made between cattle farmers. This study combines observations and interviews with suckler cattle farmers in a small region in southwestern France which is dominated by mixed crop-livestock farming and targeted by an AECM. It provides insights into local discourses that constitute environmental incentives as a moral issue. The results show that accusations are strongly context-dependent and extend beyond farming culture, thus reflecting the manifold identities of the cattle farmers. The AECM scheme, despite its low specifications, plays a role in the identity tensions that characterize contemporary cattle farming. The exploration of emerging environmental subjectivities allows us to take both the material and subjective dimensions of farmers’ identities into account.

Trajectories of crop–livestock integration in the context of specialization in Northwest Vietnam

AbstractMixed crop–livestock systems, the world's most widespread farming systems, promote farm resilience through diversification and allow for crop–livestock integration (CLI). Intensification and specialization challenge these systems. In Northwest Vietnam, the standard farm model is based on mixed crop–livestock family farms but is shifting towards more specialized farming systems. The aim of the current study was to identify the new balance between livestock and crops on farms in Northwest Vietnam and to examine the effects of specialization on CLI practices and production system intensification by identifying current CLI practices and performing a retrospective analysis of changes in these practices. One hundred farms were surveyed and 24 interviews on farm trajectories were conducted in Dien Bien district (Dien Bien province) between January and April 2022. Based on the level of CLI and farm diversification, seven types of farms were identified and classified into three categories: (B) mixed farms, (A) farms specializing in livestock and (C) farms specializing in crops. The study of farm trajectories revealed three main changes: the conversion of mixed crop–livestock farms into more specialized crop systems, a change from mixed crop–livestock to more specialized family livestock farms and a change in the management of large ruminant herds and their feed system from free grazing to forage-fed systems. Understanding these changes will help identify drivers and potential constraints to the development of new practices for the integration of crop and livestock farming.

An Ecological Reading of Crop–Livestock Interactions—Gers, Southwestern France, 1950 to the Present

Mixed crop–livestock farming is usually considered to be beneficial for the environment, but the comprehensive characterisation of functional interactions between crops and livestock, and thus the assessment of their ecological relevance, remain problematic. In this article, we design a systemic reading grid focusing on the agricultural practices of crop–livestock interactions, which we organised in four groups according to the agronomic functions they fulfil and the ecological processes involved: (i) animals are used as a source of mechanical energy; (ii) rangelands and permanent grasslands, serving as a source of biomass to manage fertility, are spatially interwoven into the cultivated fields; (iii) on those cultivated fields, non-fodder crops are rotated/associated with fodder crops; (iv) the livestock consume locally produced fodder, grain and straw, and their excreta are spread on cultivated plots. Based on 86 interviews with retired and active farmers, we applied this grid to study the dynamics of crop–livestock integration in a small French agricultural region since 1950. We show that even though the number of mixed crop–livestock farms remains quite high, there has been a massive impoverishment of crop–livestock interactions within these farms. We discuss this trend and the contributions made by the reading grid.

Integrated analysis of opportunities and trade-offs for mixed crop-livestock farm types in Amhara, Ethiopia

CONTEXTIn Ethiopia, many agricultural interventions have been introduced for mixed farm types in different biophysical and socioeconomic conditions. The contribution of such interventions to multi-objectives at farm level and beyond remains unclear. OBJECTIVETo derive insights into interaction of multi-objectives on economic profit-, nutrition security-, and environmental performance that are relevant for improvement of farm household living income in Amhara, Ethiopia. METHODSFarmDESIGN model evaluated performance of four stylized medium- and small-scale farm types in a low (Lay Gayint)- and high (South Achefer)- potential district: LG-M, LG-S, SA-M and SA-S. Pareto-based multi-objective optimization was performed to maximize farm profit, livestock density, dietary energy and vitamin A yield, and minimize GHG and soil N losses. Further analysis resulted in 3–4 clusters per farm type with varied farm configurations. RESULTS AND CONCLUSIONSHigher dietary energy- and vitamin A- yield that meets household and Ethiopian society requirements increased synergistically with profit in three of the four farm type clusters, while LG-S clusters could only increase vitamin A yield substantially with profit. Only LG-M clusters intensified livestock by addition of 4–8 crossbred cows and 1–10 chickens, supported by imported feed and off-farm grazing but face strong environmental trade-offs of increased GHG and soil N losses. Chicken production (eggs and chicken meat) is an option to reduce environmental impact, increase profit and contribute to both human nutrition requirements. In LG-S, SA-M and SA-S farm type clusters, profit was generated mainly from sale of eucalyptus, maize, potato, carrot, finger millet, garlic, beetroot and banana, with eucalyptus accounting at least 35% of the crop profit. Livestock diversification in these clusters also contributed to farm revenue, but always to a smaller extent, due to relatively high management costs. A living income from farming activities was only achieved on SA-M3 as 3.96 USD/capita/day (+0.36 above the threshold). This cluster had a 2.90 ha land area, farm income almost equally generated from crop and livestock production, and successfully met all set objectives except maximizing livestock density. SIGNIFICANCEOur study infers the need to increase land area, expand poultry and rear crossbred cows, and cultivate high value crops to realize a living income solely from agricultural activities. For implementation, current land-use policies should support farm area expansion. The suggested agricultural options, which already align with current Ethiopian development plans, must utilize sustainable measures that will not lead to short- or long-term challenges as higher GHG and soil nutrient mining.

Influence of farmers’ socio-economic characteristics on nutrient flow and implications for system sustainability in smallholdings: a review

The rise in global human population, coupled with the effects of climate change, has increased the demand for arable land. Soil fertility has been the most affected, among other things. Many approaches to soil fertility management have been proposed by studies in Sub-Saharan Africa (SSA); however, the question of sustainability remains. Nutrient monitoring (NUTMON), which combines biophysical and socio-economic features for soil fertility management, gives an in-situ soil fertility status of a given land use system, which ultimately provides guidance in proposing appropriate soil management techniques in a given land use system. In this review, the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) approach was deployed for a systematic search of the literature materials. The review evaluated various studies on nutrient monitoring in SSA soils in order to understand the socioeconomic attributes and their influence on farming systems, as well as nutrient flow and balances. The review identified two dominant smallholder farming systems in SSA: mixed crop-livestock and mixed crop farming systems. Also, this review revealed that most nutrient balance studies in SSA have been done in mixed crop and livestock farming systems. However, regardless of the farming systems, the overall mean nutrient balances in all studies, particularly those of nitrogen (N) and potassium (K), were negative, indicating significant nutrient mining. The review further revealed a vast range of biophysical soil fertility management technologies; however, their adoption has been limited by socio-economic aspects including land ownership, gender, financial position, literacy level, and access to inputs. Therefore, in view of this situation, integrating biophysical and socioeconomic disciplines could address the problem of soil nutrient depletion holistically, thus decreasing the existing negative nutrient balances in the SSA region.

Sustainable farming strategies for mixed crop-livestock farms in Luxembourg simulated with a hybrid agent-based and life-cycle assessment model

Agent-based models (ABMs) are particularly suitable to simulate human-natural systems since they allow modelers to consider the behavioral aspects of individuals. Life Cycle Assessment (LCA) has also been widely used in research, industry, and policy to assess systems' environmental sustainability. In this paper, we introduce a coupled ABM-LCA model to simulate mixed crop-livestock farming activities in the Grand Duchy of Luxembourg. The simulator considers a wide range of aspects related to typical farming business activities and allows the calculation of the environmental and economic impacts of the decisions taken by agents as well. The paper simulates different scenarios. Scenario A is the baseline scenario. Scenario B considers reducing the stocking rate from 1.6 to 1.3 livestock units per ha (LSU/ha). Scenario C aims to reduce the soybean ratio in animals’ feed rations to the minimum possible level that is feasible for each farm. Scenario D simulates an increase in soybean autonomy: the farmer chooses to adopt local soybean (instead of imported one) into the crop rotation if its green consciousness exceeds a pre-fixed threshold. As expected, in scenario B, all impact categories show improvement with respect to the baseline scenario, the highest ones being an almost 25% reduction in freshwater eutrophication, 21% in climate change - human health, and 19% in freshwater ecotoxicity. For natural land transformation, the most significant improvements are obtained in scenarios C (11% reduction) and D (13% reduction). On the other hand, in scenario C, the change in feed composition, combined with an expected decrease in stocking rates, also has a positive effect (about 16% reduction compared to the baseline) on agricultural land occupation, due to the utilization of pasture and locally produced crops. An analysis of the systemic uncertainty calculated at the endpoint indicators level showed low coefficients of variation (CV) for all the scenarios, with scenario A always having the lowest values of CV in every impact category, scenario C having the highest CV in the ecosystem quality and the human health categories and scenario B having the highest CV in the resources category. The consideration of subsidy schemes in the Grand Duchy of Luxembourg allows the modelers to better interpret the resulting revenue and cost structures of different scenarios. The results show that the farm profitability stays on the same level when the stocking rate is reduced, and the subsidy granted for reducing nitrogen emissions is in place at the same time. Moreover, the soybean autarky in Luxembourg can be increased to 17% if the farmers are willing to incorporate soybean into their rotation scheme, thus reducing the impacts due to the transportation and production of soybean in South American countries.