Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 506689
Title The Analysis of Potato Farming Systems in Chencha, Ethiopia : Input, Output and Constraints
Author(s) Dersseh, Waga Mazengia; Gebresilase, Yenenesh Tadesse; Schulte, R.P.O.; Struik, Paul C.
Source American Journal of Potato Research 93 (2016)5. - ISSN 1099-209X - p. 436 - 447.
DOI http://dx.doi.org/10.1007/s12230-016-9521-9
Department(s) Centre for Crop Systems Analysis
Crop Physiology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Improved varieties - Inorganic fertilizer - Labour shortage - Training
Abstract

A household survey was conducted for mixed farming systems in Chencha, Ethiopia. Goals of the survey were to establish a baseline for the current production system, to quantify the variation in input and output, and to identify constraints hindering expansion of potato production. Descriptive statistics and principal component analysis were computed using SPSS and XLSTAT. Input and product use constraints varied over household characteristics. Using improved varieties, inorganic fertilizers, and selling products strongly and positively correlated with the households’ wealth, adoption, and education levels. Problems of cash and inadequate produce negatively correlated with wealth, adoption factors, and education levels. Access to improved varieties, training, and fertilizer were positively correlated with age, family size and gender. Land and labour shortages and pests were identified as cross-cutting constraints. Results of the analysis identify a need for a pluriform advisory model recognizing and building upon alleviation of the diversity of constraints identified in this analysis.

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