Latest Research on Farming Households: Jan – 2020

Struggles over crop rights and labour within contract farming households in a Gambian irrigated rice project

Contract farming schemes supported smallholders are expanding in Africa. Peasant household production is being restructured by the method . Research administered within the Jahaly Pacharr irrigated rice scheme within the Gambia examines the changes that developed with the genesis of ‘contract farming of the dietary staple, rice. the assembly routine generated conflicts and struggles within project households over access to and control of female labor. These have led to new labor processes within the project area, which are shaping producers’ abilities to suits contract farming production strictures. [1]

Investigating Difference: Applications of Wealth Ranking and Household Survey Approaches among Farming Households in Southern Zimbabwe

Wealth ranking and household survey approaches to understanding wealth stratification are applied in tandem for a sample of farming households in southern Zimbabwe. While conventional surveys usually stratify sample populations consistent with criteria chosen by the researcher, wealth ranking is predicated on criteria offered by local people. Patterns of wealth and well‐being over time, between ecological zones and in reference to local indicators are explored with focus groups of men and ladies . The rankings emerging from these discussions are compared with survey data for an equivalent household sample. The wealth rankings are highly correlated with livestock ownership, farm asset holdings, crop harvests and crop sales. Wealth ranks derived from farmers’ analyses are then compared with a cluster analysis of the survey data, with both discrepancies and overlaps discussed. [2]

Determinants of Food Security Among The Rural Farming Households in Kwara State, Nigeria

This study was administered to spot the determinants of food security among rural households in Kwara State. Data used for this study was collected from a complete of 1 hundred and sixty five rural farming households using a three-stage sampling technique. the most tools of study for this study include descriptive statistics and logistic regression model. The study shows that about one third of the agricultural farming households sampled were food insecure which farm size of the households, gross farm income, total non farm income and household size are the many determinants of rural household food security within the study area. The study recommends the necessity to help farming households within the study area diversify their sources of income so as to be ready to meet their minimum food requirement especially during the off-season. [3]

Farmer typology to understand differentiated climate change adaptation in Himalaya

Smallholder farmers’ responses to the climate-induced agricultural changes aren’t uniform but rather diverse, as response adaptation strategies are embedded within the heterogonous agronomic, social, economic, and institutional conditions. there’s an urgent got to understand the range within the farming households, identify the most drivers and understand its relationship with household adaptation strategies. Typology construction provides an efficient method to know farmer diversity by delineating groups with common characteristics. within the present study, based within the Uttarakhand state of Indian Western Himalayas, five farmer types were identified on the idea of resource endowment and agriculture orientation characteristics. [4]

Arable Crop Farming and Adoption of Bee Pollination Services among Farming Households in Kwara State, Nigeria

The majority of crop pollination services are provided by the honey bee (Apis mellifera) but almost not available in most developing countries including Nigeria. This study was undertaken to assess adoption of Bee Pollination Services (BPS) by arable crop farmers in Kwara State, Nigeria. A field survey with questionnaire administration was conducted in 10 government Areas of Kwara State, Nigeria. a complete of 160 farmers consisting of 80 watermelon and 80 soybean farmers were randomly sampled in two categories. the primary category contains 17 watermelon and 31 soybean farmers with farms located near apiary while the second category contains 63 watermelon and 49 soybean farmers distant from apiary. The tools of study were descriptive statistics, net margin model and double difference estimators. [5]

Reference

[1] Carney, J.A., 1988. Struggles over crop rights and labour within contract farming households in a Gambian irrigated rice project. The Journal of Peasant Studies, 15(3), (Web Link)

[2] Scoones, I., 1995. Investigating difference: applications of wealth ranking and household survey approaches among farming households in southern Zimbabwe. Development and change, 26(1), (Web Link)

[3] Omotesho, O.A., Adewumi, M.O., Muhammad-Lawal, A. and Ayinde, O.E., 2016. Determinants of food security among the rural farming households in Kwara State, Nigeria. African Journal of General Agriculture, 2(1). (Web Link)

[4] Farmer typology to understand differentiated climate change adaptation in Himalaya
Roopam Shukla, Ankit Agarwal, Christoph Gornott, Kamna Sachdeva & P. K. Joshi
Scientific Reports volume 9, (Web Link)

[5] Oladimeji, Y. U., Ajao, A. M. and Abdulsalam, Z. (2017) “Arable Crop Farming and Adoption of Bee Pollination Services among Farming Households in Kwara State, Nigeria”, Asian Journal of Agricultural Extension, Economics & Sociology, 15(2), (Web Link)

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