Determinants of Inorganic Fertilizer Use Intensity on Cereal Crop among Smallholder Farmers: The Case of Toke Kutaye District, West Shewa Zone, Oromia National Regional State, Ethiopia

The study was aimed to analysis determinants of inorganic fertilizer use intensity on cereal crops among small holders in Toke Kutaye District, West Shewa Zone, Ethiopia. Correctional data were collected from 156 respondents using two stage random sampling methods. Data analyses were carried out using descriptive statistics and Double hurdle model. Result of the first hurdle reveals that out of twelve explanatory variables Sex ,Education, Off/non-farm income, Land size and Improved seed were determine positively whereas Age and Distance from nearest market determine small holders use of inorganic fertilizer negatively. The result of second stage of double hurdle model indicate that, out of twelve explanatory variables Sex, family size and Land size were positively affect extent (intensity) of inorganic fertilizer use whereas Age and Distance of household from nearest market determine use intensity negatively. Therefore, these results implied that there is a room to increase inorganic fertilizer use intensity on cereal crop productions. Hence, Farmers capacity to purchase this input beginning from lower income farmers to model farmers should be acknowledged; and should be designed the means to address those who have no ability to use inorganic fertilizer in their own farm through diverse development interventions.

The Productivity of Wineries – An Empirical in Moldova

Wine has historical importance to the Moldovan economy. Since the 18th century, it is noted, this commodity has contributed to revitalizing the export market and has prospered many workers. It’s not enough to stop there. Wine also plays a role in lifting Moldova’s status because it is an inspiration for other countries that have similar potential in rural areas. The goal of this research was to identify how large the land size, seed, and labor are for the productivity of wineries in Moldova with 2 models. We intend to examine and explain the relationship between independent and dependent variables using panel data in 5 regional units (Bălţi, Chisinau, Bender, Gagauzia, and Transnistria). The analytical tool used is a multiple regression through SPSS software. Empirical findings produced are that there is a positive significant influence on land size and labor on productivity, while the seed has a negative-significant effect.. This discovery also resulted in an important experience, which is regulated to stimulate the productivity and potency of wine through the relaxation of the agrarian sector.

Need Based Information Media for Farmers in Hill Regions of Uttarakhand: Implications for Extension

Farmers use different information sources and channels for seeking reliable, timely andrelevant information on improved agricultural practices. Developing appropriate farmereducational and marketing strategies will depend on how farmer groups differ in theirinformation search behavior. Understanding what information farmers need, how they searchfor their information, which sources they depend on for accessing information can help indesigning effective extension programs. The study examined farmer’s communicationcharacteristics with an intent to assess farmer’s accessibility and use of extension mediaand information sources for fulfilling their information needs pertaining to agricultural andallied activities in three hill districts of Uttarakhand state. A sample of 1318 farmers wasselected through a stratified random sampling technique. Interpersonal communicationsources were used more by farmers as these were more easily available and accessible toobtain information related to agriculture. Majority of farmers were categorised as lowsearchers. Gender, primary occupation, land size and education significantly affected searchbehaviour of farmers. Implications for policy and extension have been given for improvinginformation dissemination among farmers of hill regions. Emphasis on extension systemproviding a context for the flow of authentic knowledge through authentic media amongfarming communities on an equal basis is emphasized.

Asymmetric Information, Transaction Costs, and Farmers Decision To Participate In Tobacco Voor-Oogst Kasturi Contract Farming

Contracts participation between tobacco farmers and traders is still low even benefit of contract is huge. This is related to factors that affect to the contract, demographics, farm characteristic, and other related factors. Contracts that initially became a tool to prevent market failure because it regulates how economic actors act against other, turns out to cause transaction costs as a result of asymmetric information that makes the contract does not function ideally. Therefore, this study attempts to explain asymmetry information during the transfer product and the potential transaction costs incurred using the New Institutional Economy approach. Beside that, this study also attemps to explain factors that underlie farmers decision making partnership, that were analized by using the analyst logistic regression.Respondents in this study were 100 respondents, 50 tobacco contract farmers, and 50 independent farmers from December 2018 through January 2019. The results showed that asymmetric information caused adverse selection and moral hazard, as many as 30% farmers had sold products to other parties and 8% of farmers had used pesticides that prohibited by traders. Contracts that are not ideal due to asymmetric information must be re-enforced by using additional costs called transaction costs which are divided into three typess, namely search and information costs, cost to design, negotiate and conclude and the monitor and contract enforcement costs. Monitoring costs have the potential to absorb the largest portion compared to other types of transaction costs. The greater the asymmetric information generated, the greater the transaction costs incurred. Then the factors that significantly influence the decision making of tobacco farmers to partnership are long time farming experience, land size, risk aversion level, certainty of price and source of capital.

Solanum tuberosum Yield for Selected Countries

This chapter, aimed at analyzing potato yield among selected countries, has seven sections. The panel analysis of potato production and productivity has shown significant differences among countries. The main panel analysis of the random and fixed effect model indicates a negative influence of land size on yield and a positive influence on production. However, using multilevel mixed effect model, some country specific estimates deviate from main model results. In yield and output equations, the influence of land is positive for some countries and negative for others. Improvement of potato productivity is vital for hunger relief and starvation reduction. Even though, area specific analysis can bring in many determinants of potato production and productivity. A detailed analysis can give the right direction for policy makers in their effort to reduce hunger and starvation as well as improve the living standards of people.

Adoption and adaptability of modern Aman rice cultivars in Faridpur region - Bangladesh

Rice is not just a staple food; but it is at the center of culture, politics, and economy of Bangladesh. The determinants affecting the adoption of modern rice cultivars and their adaptability in the Aman season (June to November) at the Faridpur region in Bangladesh were discussed. A total of 500 farmers from five different districts such as, Faridpur, Madaripur, Shariatpur, Rajbari, and Gopalganj through multistage sampling technique participated in the survey. Before the survey, 15 farmers were selected for the cultivation of eight modern T. Aman rice cultivars in their fields during three consecutive years 2018 to 2020 in the mentioned five districts of Bangladesh. A structured questionnaire was used to identify the determinants associated with the adoption of modern rice cultivars by replacing the popular old ones. Results revealed that beyond preferences, some other determinants (age, education, risk aversion, land size, yield, and perception of modern rice cultivars and their seed availability) directed the decision to adopt or not. Considering the average grain yield of the tested rice cultivars, the genotypes BRRI dhan72 (G-6) and BRRI dhan87 (G-8) were the high yielding cultivars for the above five districts. Despite having a comparatively low yield, the cultivars BRRI dhan71 (G-4) and BRRI dhan49 (G-3) were more stable compared to other cultivars in the Faridpur region of Bangladesh.

Woody Plant Species Diversity and Carbon Stocks Potential of Homegarden Agroforestry in Ephratana Gidimdistrict, Central Ethiopia.

BackgroundTropical agroforestry systems can contribute incredible benefit for carbon sequestration and plant diversity. This system is one of the common practices in the Central part of Ethiopia. This is because of source of the multifunctional ecosystem services, such as food, feed, biodiversity conservation and carbon storage potential. MethodologyThis study was carried out to assess the influence of land size on floristic diversity, richness and biomass carbon stock. The homegardens were classified into small (<0.06 ha), medium (0.06–0.1 ha) and large (>0.1 ha). Biomass of the homegarden was computed using allometric equations.ResultsA total of 39 woody species, belonging to 24 families were recorded in all the study homegardens. Tree density 625.8 tree ha-1 and basal area 17.3 m2ha-1 were highest for small-size HGs. However, large homegarden had more species richness (Margalef Index) per garden (12.4) compared to medium and small size homegarden. Mean biomass carbon ranged from 9 to 89.3 ton ha-1. Mean biomass carbon stock per unit area was higher in small homegarden (49.3 ton ha-1) compared to medium (38.4 ton ha-1) and large (35 ton ha-1). ConclusionsThis result implies that homegarden can serve as both for carbon sequestration and conservation of woody species diversity. However, a specific homegarden management plan is necessary to improve the carbon storage and species diversification to the respective area. The results provide a catalyst the implication of the future potential of homegarden management in carbon storage thereby for climate change adaptation and mitigation purpose.

Demographic and Socioeconomic Factors Influencing Uptake of Striga Weed Control Technologies in Kenya

Over the years, new technologies have been tested and introduced to control Striga in maize producing areas but adoption has remained low. The study done in 2013, determined the demographic and socioeconomic factors that influenced the adoption of Striga control technologies in Kisumu West, Bumula and Teso South sub counties of Western Kenya. Through Multi stage sampling technique, 40 households were selected per sub county for questionnaire administration; to gather information on demographic profiles of the sample population, type of fertilizer and seed variety used, income of the household, source of credit facilities and challenges faced in weed control. Chi square test at P<0.05 and logistic regression analysis, using R software was used to determine the relationship between demographic and socioeconomic factors and uptake of Striga control technologies. Farmers cited high cost, poor availability of improved varieties and lack of adequate knowledge as reasons for non-adoption of the Striga control strategies. Farmer’s age, education, land size and hiring of labour were found to significantly influence the adoption of the Striga control technologies. The low levels of adoption of modern technology indicate that they were not meeting farmers’ expectations, thus, researchers should put into consideration farmers’ education, age, land size and ability to high labour in their planning for an informed technology adoption. In addition, alternative options should be extended to farmers who are not able to use expensive technologies.

The Analysis of Factors Affecting Farmers to Take Out Agricultural Insurance: A Case Study of Altinekin District, Konya Province of Turkey

Agricultural insurance is one of the management risk tools. This research aimed to analyze the factors affecting food crop farmers’ agricultural insurance in the Altınekin District of Konya Province. To obtain data using a questionnaire by interviewing 66 food crop farms entreprises who did agricultural insurance in the previous year. The population sampling was calculated with a single-stage non-clustered probability sampling. Factors affecting farmers’ agricultural insurance were analyzed by Binary Logistic Regression. The results of the analysis of factors affecting farmers’ willingness to take out agricultural insurance were farmers age, education, land size, sources from which they receive information on agricultural insurance, and the amount of support paid by the state, the amount of debt, pure product and agricultural income. The sources from which they received information on agricultural insurance had negative effect. The other factors have a positive effect. Providing education and advertising about agricultural insurance to farmers can increase the willingness of farmers to take out agricultural insurance. Support in the form of assistance on agricultural insurance of the government is also needed.

Development of an Open Channel That Also Functions as a Wetland to Reduce Domestic Wastewater

Besides accommodating rainfall-runoff, the drainage channel of the Dukuh Menanggal area in Surabaya also accommodates domestic wastewater. The objective of developing the function is to degrade domestic wastewater pollution that flows into the drainage channel. The wetland is applied in the drainage channel with coarse sand media, Caladium (Caladium), and Water lettuce (Pistia stratiotes L) plant according to land size planning based on existing discharge, detention time, the porosity of the planting medium, and the root zone of the applied plants. The observed properties of domestic wastewater were Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD), and detergents. The result is that the treatment of domestic wastewater passes through the artificial wetland in the drainage channel. The constructed wetland can reduce the contamination content of domestic wastewater for the parameters of BOD, COD, and detergents with efficiency levels of 46%, 61.8%, and 69%, respectively.