Typology of Smallholder Production Systems in Small East-African Wetlands

Sakané, Nomé; Becker, M.; Langensiepen, Matthias; Wijk, Mark van

doi:10.1007/s13157-012-0355-z

Cited by 28 publications

(12 citation statements)

References 33 publications

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“…Farm systems are described as comprising a production system and a management system, the latter controlling production (Dogliotti, 2011;McCown, 2001;Sorensen and Kristensen, 1992). In sub-Saharan African wetland agricultural systems, the production system on farms can include upland fields, wetland fields or a combination of upland and wetland fields (Rebelo et al, 2010;Sakané et al, 2013). In sub-Saharan Africa, most farms are family farms.…”

Section: Introductionmentioning

confidence: 99%

Between all-for-one and each-for-himself: On-farm competition for labour as determinant of wetland cropping in two Beninese villages

Paresys

Malézieux

Huat

et al. 2018

Agricultural Systems

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In sub-Saharan Africa, unexploited land and water resources in wetlands represent an important potential for intensified, sustainable and food-secure farms through rice production and market gardening. The lack of uptake of cropping in wetlands may be related to the ways in which resources are divided between family fields and individual fields. The management system on sub-Saharan African farms comprises a family management unit or a combination of a family management unit and one or more individual management units. The family management unit or the farm head controls production in family fields to satisfy family needs while the individual management units control production in individual fields to satisfy individual needs. Our objective was to investigate the diversity in farm management systems and the resulting uptake of cropping in wetlands for different farm types, as the first step towards suggestions for enhancing rice production and market gardening in wetlands. We studied farms in two case-study villages in Benin: Zonmon in the southern part and Pelebina in the north-western part. Farm typologies were developed based on random samples of 51 out of 134 farms (38%) from Zonmon and 50 out of 146 farms (34%) from Pelebina by combining principal component analysis and Ward's minimum variance clustering. Variables included in the PCA were related to levels of resource endowment (e.g., amounts of land, family labour, cash for purchasing chemical inputs and hiring labour) and to resource-use strategies including resource division between family fields and individual fields, and between uplands and wetlands. We identified 3 farm types in Zonmon and 5 farm types in Pelebina based on differences in resource-use strategies and in resource endowment. We found no trade-off between the existence of individual fields and the area under rice and market garden crops in wetlands. Labour abundance was the main factor driving both the occurrence of individual fields and the expansion of cropping in wetlands. Differences in labour division strategies between family and individual fields among farm types reflected differences in food and cash division strategies. Land use appeared strongly motivated by food self-sufficiency objectives and labour productivity, leading to prioritisation of upland over wetland areas. In wetlands, most farm types opted for cultivating market garden crops during the dry season when labour demand for upland fields was low. Our results indicate that increasing labour productivity in food crops and in rice and market garden crops would enhance the uptake of rice and market garden crops in wetlands. Creating credit facilities would increase the labour resource and allow farmers to hire labour, further contributing to wetland use. We discuss the relevance of a systemic farm analysis that enables distinguishing family and individual fields for understanding farm uptake of rice and market garden crops in wetlands. (Résumé d'auteur

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Section: Introductionmentioning

confidence: 99%

Between all-for-one and each-for-himself: On-farm competition for labour as determinant of wetland cropping in two Beninese villages

Paresys

Malézieux

Huat

et al. 2018

Agricultural Systems

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“…Mbetid-bessane (2003) classified smallholder farmers in the cotton production system based on the structure and functioning of their integrated farm systems in order to understand their trajectory. Sakana (2012) also established smallholder farmers typology in wetland zones in Kenya and Tanzania based on their production systems. Douxchamps et al (2016) described and classified smallholder farmers into different groups based on their agricultural technology adoption patterns and food security in three Western African countries.…”

Section: Discussionmentioning

confidence: 99%

Dynamics and adaptation of agricultural farming systems in the boost of cotton cropping in southern Mali

Dembele¹,

Bett²,

Mutai³

et al. 2017

Afr. J. Agric. Res.

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Integration of crop and livestock production systems constitutes an important engine for agricultural development and enhancement of smallholder farmers' livelihoods in the least developed countries. For the last forty years, the Malian cotton sub-sector has recorded mixed growth trends, having been initially successful before declining and then catching up. The growth dynamics in the cotton subsector has permitted smallholder farmers to endow and improve their living condition. The purpose of this study was to establish smallholder farmers' dynamics of integrating crop and livestock production systems as well as classification of the systems and their trajectories. The study was carried out in different agro-ecological zones in Southern Mali. A multistage sampling technique was used to select the area of study. Stratified random sampling technique was then used to select 134 smallholder farming households from three villages. A panel datasets was used from the Malian Company of Textile Development (CMDT) from 1961 to 2014 and 1974 to 2014. Based on explanatory structure variables, principal component analysis (PCA) and ascending hierarchical classification (AHC) were used to distinguish smallholder farmers' dynamics as well as classify them into different classes or groups. Five types of smallholder were distinguished. Type 1 was super large families representing 14% of the total smallholder farmers. Type 2 consists of large families, and constituted of 28% of the smallholder farmers. Type 3 consists of medium-sized families which represented 28% of the total smallholder farmers. Type 4 and type 5 were small and young families with 19 and 11% of smallholder farmers respectively. Notably, small family farming was low in Southern Mali, and so some agricultural options can be developed such as the milk and meat value chains among others.

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“…ferencistvan@gmail.com Application Structural and productive characteristics of dairy farms are related to sustainability indicators Introduction Food production has recently faced the challenge of adapting to new institutional and market demands, characterized by large-scale production, high-quality products, and processes of low social and environmental impact (Dervillé and Allaire 2014). These new demands, driven by sustainability principles, are an important issue for agricultural producers (Sakané et al 2013). The challenge of achieving sustainability in dairy production systems -DPS has been present in several parts of the world (Dervillé and Allaire 2014).…”

Section: Statistical Methods To Compare the Efficacy Of Methionine Somentioning

confidence: 99%

Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)

2019

Advances in Animal Biosciences

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Typology of Smallholder Production Systems in Small East-African Wetlands

Cited by 28 publications

References 33 publications

Between all-for-one and each-for-himself: On-farm competition for labour as determinant of wetland cropping in two Beninese villages

Between all-for-one and each-for-himself: On-farm competition for labour as determinant of wetland cropping in two Beninese villages

Dynamics and adaptation of agricultural farming systems in the boost of cotton cropping in southern Mali

Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)

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