Characterization of Small-Scale Farmers and Assessment of Their Access to Crop Production Information in Selected Counties of Kenya

Small-scale farming accounts for 78% of total agricultural production in Kenya and contributes to 23.5% of the country’s GDP. Their crop production activities are mostly rainfed subsistence with any surplus being sold to bring in some income. Timely decisions on farm practices such as farm preparation and planting are critical determinants of the seasonal outcomes. In Kenya, most small-scale farmers have no reliable source of information that would help them make timely and accurate decisions. County governments have extension officers who are mandated with giving farmers advisory services to farmers but they are not able to reach most farmers due to facilitation constraints. The mode and format of sharing information is also critical since it’s important to ensure that it’s timely, well-understood and usable. This study sought to assess access to geospatial derived and other crop production information by farmers in four selected counties of Kenya. Specific objectives were to determine the profile of small-scale farmers in terms of age, education and farm size;to determine the type of information that is made available to them by County and Sub-County extension officers including the format and mode of provision;and to determine if the information provided was useful in terms of accuracy, timeliness and adequacy. The results indicated that over 80% of the farmers were over 35 years of age and over 56% were male. Majority had attained primary education (34%) or secondary education (29%) and most farmers in all the counties grew maize (71%). Notably, fellow farmers were a source of information (71%) with the frequency of sharing information being mostly seasonal (37%) and when information was available (43%). Over 66% of interviewed farmers indicating that they faced challenges while using provided information. The results from the study are insightful and helpful in determining effective ways of providing farmers with useful information to ensure maximum benefits.

Local Criteria Used by Farmers to Evaluate the Agronomic Performance and the Fertilizing Capacity of Cowpea Varieties: Diversity, Variability and Proximal Relation with Agronomic Measurements in Contrasted Sahelian Locations

When contributing to participatory research, farmers usually appreciate the performance of cowpea varieties using qualitative scores. The score they attribute to each variety are based on local knowledge. The specific criteria they individually use to attribute a score are not well described. The objectives of this work were to: 1) identify and describe exhaustively the local criteria used by farmers to measure the agronomic performance of cowpea;2) assess the variability and statistical structure of these farmer criteria across local contexts;3) and analyze the association between these farmer criteria and the classical agronomic measurement. To achieve these objectives, an augmented block design was implemented across fifteen locations in the regions of Maradi, Dosso and Tillabéri, representing a diversity of local contexts. From a set of 36 cowpea varieties, fifteen varieties were sown per location, including five varieties (controls) common to all locations. In each location, two replicates were sown in randomized Fisher’s blocks. After agronomic measurement and participatory evaluation (scoring of varieties by farmers), a group survey (focus group) was conducted in each location to identify the criteria considered by farmers to found their discretional scoring of varieties during the participatory evaluation. The analysis of the data identified, across locations, thirteen criteria defined by farmers to characterize the agronomic performance of cowpea. Some of these criteria were different according to location. Farmers ranked the three varieties with the best performance for each agronomical trait (Top 3 varieties). A comparison of the farmer ranking with the ranking based on agronomic measurements revealed similarity and complementary between both methods. This study highlighted the importance of considering both local and scientific knowledge in local varietal evaluations.

Cattle Production and Lumpy Skin Disease of Smallholder Farmers in Svay Rieng Province

The cattle production in Romeas Haek district,Svay Rieng province,was developed remarkably,since there were some households raising cattle in large number,more than 20 heads.The grazing method of cattle was tethering and free grassing in the commune grass,since the natural grass and rice straw were the main source of cattle feed,however some of them supplemented their cattle with crop-byproducts,planting grass or concentrated feed.For the majority,BCS(Body Condition Scoring)of the cattle in those areas was 3 accounting for 52%-73.33%,but it was found the thin cattle has low BCS of 2 accounting for 11.11%to 40.00%and also fat cattle has BCS of 4 up to 27.78%.However,the average BCS varied with village which ranged from 2.68 to 3.17,but is not different in term of commune and sex of cattle.Besides facing with shortage of feed,the experience with diseases was also another concern,since 85.71%to 95.83%of the households faced this problem last year.Among the clinical signs found,lumpy skin was 100%,i.e.no one escaped from this problem,thus making them aware of vaccinating their cattle against some diseases such as FMD(Foot and Mouth Disease),HS(Hemorrhagic Septicemia)and LSD(Lumpy Skin Disease),but mostly vaccination was used against FMD.Because the LSD has occurred in these areas since 2020,then the seroprevalence was found in high positive up to 72.62%by Enzyme-Linked Immunosorbent Assay(ELISA)test.This positive rate was also varying by villages,ranging from 53.3%to 94.44%.But there was no association between positive cattle with commune,BCS,sex and age of cattle.In conclusion,the cattle production in Romeas Haek district,Svay Rieng province had developed markedly,however the shortage of feed and disease occurrence are the main challenges for farmer cattle producers,especially LSD outbreak last year.However,most of the farmers have been aware of the benefit of vaccination and had vaccinated their cattle against those main disease,such as FMD,HS and LSD.

Profitable Transformation Changes in tea industry boost farmers’ income in Songyang

On 7 September,just as the first rays of light reach Earth,Huang Faliang and his wife arrived at their tea plantation in Xuzheng Village of Songyang County,Lishui City,Zhejiang Province,to harvest fresh tea leaves.When they reached the market for tea leaves at Shang’an Village of the county at around 9 a.m.with their produce,it was already bustling.In the market,over 5,000 people were busy with livestreaming tea products,trading of tea leaves and transportation.The Huang couple can earn around 500 yuan($68.5)each day from selling their tea leaves in the market.According to Qian Yuanfeng,director of Songyang’s Centre for Tea Industry Development,the market is even more busy in the spring,with over 20,000 people visiting each day,when households like Huang’s can earn over 2,000 yuan($273.9)each day.

The Countermeasures and Researches on Improving Farmers' Incomes of Shaanxi Province in the New Period

Combining the relative agricultural statistics from 2000 to 2009, the paper selects 20 major variables to carry out the analyses of factors. Through the component matrix, 3 common factors can be gained. They are investment on agricultural production, development of the second and the third agricultural industries and policies. On the basis of these 3 common factors, the paper suggests on how to improve farmers' incomes. Such as improving farmers' agricultural management incomes, improving farmers' salary and strengthening the construction of policies and so on.

Impact of eco-efficiency compensation for public welfare forests on the incomes of farmers

The strategy of rural revitalization puts ecology and economic development at the same level,in order to explore whether the eco-efficiency compensation policy for public welfare forests can achieve a“win-win”for both ecology and people livelihood.This study probed into the consideration of income structure and used OLS analysis to conduct an empirical analysis on a sample of 443 households in Shaanxi Province.It was found that the eco-efficiency compensation for public welfare forests had not only a significantly positive effect on the forestry income and the total income of farm households,but also had a constructive influence on the non-forestry income,though smaller and less significant,which was closely attributed to the original income structures of these farm households.In addition,personal and household characteristics such as age,educational level and labor force size played decisive roles to nonforestry income and total income of farm households as well.

Social Capital,Financial Literacy and Lending Behaviour of Farmers with Different Incomes--Evidence Based on CHFS 2015 Data

Using microdata from the China Household Financial Survey Project(CHFS 2015),a negative binomial model is used to study the impact of social capital and financial literacy on the lending behavior of farmers with different incomes.The study found that the positive impact of social capital on the formal borrowing behavior of low-and middle-income farmers was significant,while the impact on informal borrowing behavior and both types of borrowing behavior of highincome farmers were not significant.Financial literacy has a significant positive effect on formal lending behavior only for high-income farmers.Financial literacy has a significant positive effect on formal lending behavior only for high-income farmers.

Climate change risk,resilience,and adaptation among rural farmers in East Africa:A literature review

This study assesses the literature evidence on climate change risk,resilience,and adaptation measures used among rural farmers in East Africa.A systematic literature review was conducted comprising 30 papers from the Web of Science database published during 2000-2022.The results of the literature review showed that climate change risks have direct impacts on agricultural practices,limit rural farmers’resilience,and exacerbate their food insecurity.The most prominent risks are increasingly shorter wet seasons and heat stress,which lead to droughts and food production losses.Responding to climate risks,farmers in East Africa adopt various adaptation strategies such as mixed-and inter-cropping,conservation tillage,early planting,crop diversification,etc.Also,this review summarizes the determinants of climate change adaptation strategy selection by farmers in East Africa,including age,gender,household size,economic status and household assets,landownership and livestock,education and training,etc.Overall,the choice of adaptation strategies to climate change is strongly determined by the gender of household heads,the results of gender as a determinant of adaptation differ greatly between different case studies.Although female-headed households(FHHs)tend to perceive changes in temperature more readily than male-headed households(MHHs),the latter are generally more likely to adopt different adaptation strategies.Despite the resilience and adaptation measures used by rural farmers in East Africa now,improved weather forecasting and early warning systems are needed as a better direction towards the future.

Empirical Analysis on the Influencing Factors of the Net Income of Farmers——A Case of Hebei Province, China

According to the relevant data of farmers' net income from the Hebei Statistical Yearbook 2009, seven indicators are selected covering regional gross production x1, the total output of the primary industry x2, the number of the people employed x3 and the number of the large livestock at the end of year x4 and so on, to analyze the factors that affect the per capita net income of farmers. The results show that the regional gross production x1 is in positive proportion to the total output value of the primary industry and the influneces are great; the total output value of the non-agricultural industry x5 and the local financial expenditure x6 are the important factors that affect the income of farmers; though the total value of rural residents'fixed investment x7 is in positive proportion to the income of farmers, the degree is not so great; the regression coefficient of the number of people employed x3 and the number of the large livestock at the end of year x4 is negative and the number of people employed x3 is a positive correlation to the net income of farmers. Based on the above analysis, the countermeasures on improving the income of rural residents are put forward: firstly, optimizing the rural indutrial structure, promoting the developement of the primary industry and improving the regional total output of production; secondly, expanding the development channel of non-agricutlural economic and attracking the rural surplus laborers; thirdly, enlarging the local financial expenses and Expanding the developmental space of the three agricultural issues concerning peasants, countryside and agriculture.

Analysis on Consumption Behavior of Zhejiang Province's Farmers from the Perspective of Their Income Increase

With rapid development of industrialization in Zhejiang Province, surplus rural labor forces move to the secondary and tertiary industries. Farmers of Zhejiang Province are no exception. They turn to industrial workers and their income source has great changes. Wage income becomes their major source of income. Accordingly, farmers' consumption behavior has great changes. Apart from satisfying basic production and living demands, farmers start to pursue living quality and their life style tends to urbanization. Nevertheless, under the influence of rural physical environment, policies and systems, the existing consumption environment fails to follow farmers' urban lifestyle any more. In line with how to optimize rural consumption environment, improve farmers' consuming capacity, continue to expand farmers' consumption and promote urbanization development of rural areas, this paper presents pertinent countermeasures and recommendations.

The Impact of Development of Rural Finance in Jiangxi Province on the Agricultural Economy and Farmers’ Income

Based on the rural economic data pertaining to the development of rural finance, the growth of agricultural economy and farmers' income in Jiangxi Province during the period 1990-2009, we conduct empirical research on the impact of development of rural finance on the growth of agricultural economy and farmers' income, using the ADF test method, the Granger causality test, and regression analysis. The results show that the development of rural finance in Jiangxi Province has a significant positive effect on the growth of rural economy and farmers' income. When the ending balance of agricultural loans increases by 1 unit, the agricultural added value will increase by 0.367 1 units; when the ending balance of agricultural loans increases by 1 unit, farmers' income will increase by 0.597 5 units, indicating that the development of rural finance plays a significant role in promoting the per capita net income of farmers.Finally we propose to increase agricultural credit efforts in the financial institutions, establish and improve the agricultural credit management system.

Increase of Income of Farmers and Herdsmen in Tibet in the New Period

The disposable income per capita of rural residents in Tibet was 7471 yuan in 2014. There is a high gap with the national average disposable income per capita of rural residents( 10489 yuan). Thus,it is urgent to increase income of farmers and herdsmen in Tibet. On the basis of literature in recent years,this paper analyzed methods for increasing income of farmers and herdsmen in Tibet,major factors restricting increase of their income,and approaches for increasing their income. It is expected to provide certain reference for further expanding ideas of increase of their income in the new period.

Prediction of Farmers' Income and Selection of Model ARIMA

Based on the research technology of scholars' prediction of farmers' income and the data of per capita annual net income in rural households in Henan Statistical Yearbook from 1979 to 2009,it is found that time series of farmers' income is in accordance with I(2)non-stationary process.The order-determination and identification of the model are achieved by adopting the correlogram-based analytical method of Box-Jenkins.On the basis of comparing a group of model properties with different parameters,model ARIMA(4,2,2)is built up.The testing result shows that the residual error of the selected model is white noise and accords with the normal distribution,which can be used to predict farmers' income.The model prediction indicates that income in rural households will continue to increase from 2009 to 2012 and will reach the value of 2 282.4,2 502.9,2 686.9 and 2 884.5 respectively.The growth speed will go down from fast to slow with weak sustainability.

Effect of Agricultural Comprehensive Development on Increasing Income of Farmers in Jiangsu Hilly and Mountainous Areas

To adapt to rural and agricultural economic development,Jiangsu Province adjusted main task of comprehensive development of hilly and mountainous areas to supporting and promoting agricultural structural adjustment of hilly and mountainous areas and promoting increase of agricultural benefits and farmers' income. Through typical survey,this paper made an objective evaluation of effect of agricultural comprehensive development of hilly and mountainous areas in Jiangsu Province from increasing farmers' income. Results indicated that agricultural comprehensive development investment projects in Jiangsu hilly and mountainous areas are closely coupled with local agricultural production structure; financial funds promote social capital input to construction of economic forest,fruit and grass planting,and livestock raising. Through demonstration and guidance of farmers,it promoted adjustment of agricultural production structure and increased farmers' income. Finally,it came up with pertinent policy recommendations.

The Changes of Fiscal Agriculture-Supporting Expenditure and Farmers' Income Based on Grey Correlation Theory

According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009,the changes of grey correlation degree of farmers' net income,various items of incomes,national gross agriculture-supporting expenditure and various items of expenditures,farmers' net income and various items of fiscal agriculture-supporting expenditure in the Eighth Five-Year Plan,Ninth Five-Year Plan and Tenth Five-Year Plan by using grey correlation degree and the by choosing seven indicators covering income from wage and salary,income from household business,transfer income and property income,agricultural production-supporting expenditure,agricultural basic construction expenditure,expenses of three items of agricultural technology and the fee of rural relief.The results show that the grey correlation degree of each time period and household net income shows the downward trend;from overall perspective,the grey correlation degree of national gross agriculture-supporting expenditure,agricultural basic construction expenditure and agricultural production-supporting expenditure shows the descending trend;the grey correlation degree of fiscal agricultural supporting expenditure and the expenditure of three items of agricultural technology and fee of rural relief show the upward trend;the influence of agricultural production-supporting expenditure on farmers' income shows downward trend;the influence of agricultural basic construction on farmers' income shows upward trend;the fee of rural relief play an active role in the promoting the farmers' income increase;the role played by fee of rural relief in promoting farmers' income increase should be further increased;the increase of farmers' income shows great reliance on agricultural science and technology.In the end,the relevant suggestions on establishing stable increase mechanism of fiscal agricultural support and insisting on the dynamic adjustment of the structure of fiscal agricultural supporting capital are put forward.

Farmers’ Practices for the Orchard’s Maintenance and Post-Harvest Treatment of Cocoa in Infiltrated Classified and Unclassified Zone of Méagui (South-West, Côte d’Ivoire)

An important part of Ivorian cocoa production comes from infiltrated classified forests. The objective of this study is to investigate orchard maintenance and post-harvest cocoa treatment practices used by cocoa farmers in infiltrated classified and unclassified areas of Méagui. To do this, 110 producers in two localities of the said zone were individually interviewed from February to April 2022, using a declarative questionnaire. It was found that cocoa orchards in the zone are aging. Nearly 68.55% of producers were heirs and 58.33% of those interviewed were under 46 years of age, with an average age of 43 years. Nearly 84.55% of the producers surveyed mainly use chemical insecticides to control the pests of greatest concern in these localities. Regarding the frequency of insecticide treatments, 11.82% of producers make 1 to 2 applications a year, 29.09% make 3 to 5 applications a year, and 43.64% make at least 6 applications a year. The active substances of the most used products belong to 99% of the Neonicotinoid and Pyrethroid families. Regarding cocoa harvesting and post-harvest operations, 93.64% of the producers carry out a single harvest/month;all do the shelling with mini machetes. Beans are fermented mainly in black plastic tarpaulins or in bags, for a period of 3 to 5 days (65.45%). Drying is done almost entirely (91.82%) on the black plastic tarp. This study shows that cocoa farmers in the areas surveyed do not respect the recommendations issued on phytosanitary practices and post-harvest treatment of cocoa. This non-compliance with the standards of good practices prescribed is particularly more accentuated in the locality located in infiltrated classified zone. It would, therefore, be judicious to revise or redefine the phytosanitary recommendations and carry out sensitization and training-follow-up programs for producers in this important cocoa production area of C?te d’Ivoire.

Ethnobotanical Knowledge of Local Cassava Varieties and Characteristics Desired by Farmers in Sierra Leone

It has been observed that farmers adopt only a small number of the “improved” cultivars. A nationwide germplasm collection exercise in February 2018 provided the opportunity to collect indigenous technical knowledge (ITK) of the diversity of cassava varieties in terms of: their morphology, growth characteristics, uses (of tubers and leaves) and desirable characteristics. The objective is to see to what extent the objectives of the plant breeders are consistent with what farmers’ value. We performed 405 structured and semi-structured interviews with informants who were selected based on “purposive household sampling”. We found a considerable turn-over in cassava varieties, just over a third (45) have been in cultivation for at least 40 years, however, since the end of the civil war an additional 25 varieties are cultivated, while others varieties seem to have disappeared. One major issue with estimating turnover of varieties is whether the same variety might have several local names, and conversely the same name may be applied to different cultivars. Farmers overwhelmingly use ITK to select and preserve cassava germplasm for future use. Farmers have a clear preference for: sweet taste, high yield, early maturity and easy cooking and preferentially adopt cultivars that have those qualities. Cassava is primarily a human food eaten boiled or fried, some are processed into fufu and gari, and uses as livestock feed and medicine are reported but at low levels. The information produced during this study could help plant breeders choose selection criteria that will ensure their efforts are adopted and sustainable, the importance of preserving the genetic resources of local cultivars is also highlighted.

Income effects of poverty alleviation relocation program on rural farmers in China

This paper analyses the impact of the poverty alleviation relocation(PAR)program on rural household income and evaluates the heterogeneous income effects of various relocation modes,based on a panel dataset of relocated households from 16 counties in eight Chinese provinces.The results show that participation in the PAR increases the income of both rural and urban resettlers.More specifically,it has a significant positive effect on agricultural and wage income for rural and urban resettlers,respectively.Further analyses show that the income increase for rural resettlers was mainly due to agricultural technology training and that the income increase for town resettlers was attributed to medical security.For the village resettlers,policies should focus on strengthening the development of local industries and training of agricultural technologies.For the urban resettlers,non-agricultural employment and public services in the urban resettlement areas should be promoted.

Knowledge, Attitudes, and Practices of Poultry Farmers on Antimicrobial Use and Resistance in Kitwe, Zambia: Implications on Antimicrobial Stewardship

Introduction: The inappropriate antimicrobial usage (AMU) in chicken production has led to an increase in the prevalence of antimicrobial resistance (AMR). In Zambia, there is little information documented regarding the knowledge, attitude, and practices of poultry farmers on AMU and AMR. Therefore, this study assessed the knowledge, attitude and practices regarding AMU and AMR among poultry farmers in Kitwe, Zambia. Methods: This was a cross-sectional study conducted among 106 poultry farmers from November to December 2021 using a structured questionnaire. Data analysis was done using IBM Statistical Package for Social Sciences (SPSS) version 26. Results: Overall, of the 106 participants, 90.6% knew what antimicrobials were, but only 29.2% were aware of AMR. The study showed that 46.2% of the participants had low knowledge, 71.7% had negative attitudes, and 61.3% had poor practices regarding AMR. The prevalence of antibiotic use in poultry production was 83%. The most used antimicrobials were tetracycline (84%) and gentamicin (35.2%). The commonly reported reason for the use of antimicrobials was for the treatment (93.2%) and prevention (89.8%) of diseases. Further, 76.9% of the administered antimicrobials were usually done without veterinarian consultation or prescription. Conclusion: The study shows that there was high AMU in poultry farms in Kitwe. However, there was low knowledge, negative attitude, and poor practices towards AMU and AMR. Therefore, there is a need for educational and sensitisation programmes regarding AMU and AMR among poultry farmers in Kitwe, Zambia. Alongside this, antimicrobial stewardship and surveillance systems should be strengthened in the livestock production sector. This will ensure food safety and public health.

Can Multiple Livelihood Interventions Improve Livelihood Resilience of Out-of-poverty Farmers in Mountain Areas?A Case Study of Longnan Mountain Area,China

Clarifying the impact of livelihood interventions on the livelihood resilience of farmers in undeveloped mountain areas can not only optimize interventions,but also provide experiential support for global poverty alleviation.To analyze the impact of multiple livelihood interventions on livelihood resilience,we constructed an analytical framework and analyzed the enjoyment of livelihood interventions and the heterogeneity of livelihood resilience among out-of-poverty farmers in the Longnan mountain areas,China.Then,we studied the impact of intervention intensity on livelihood resilience through the multiple linear regression model.The results revealed that:1)the livelihood interventions enjoyed by out-of-poverty farmer in mountain areas were multiple.The proportion of farmers enjoyed diversified livelihood interventions was in descending order of high mountain areas,semi-mountain area and Chuanba valley areas.2)The overall livelihood resilience of farmers in Longnan mountain areas was generally low,with an average of 0.299.There were significant differences in the livelihood resilience of farmers across different geographic areas in the study area and types of interventions.3)The effects of industry interventions,employment interventions and education interventions were significant.The endogenous power of farmers not only had a significant positive effect on livelihood resilience,but also positively moderated the impact of the intensity of interventions on livelihood resilience.In addition,the household dependency ratio and the average altitude of the village area had a significant negative impact on their livelihood resilience.