Identification of indigenous fruits with export potential from Mukono district, Uganda: an assessment of two methods

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Identification of indigenous fruits with export potential from Mukono district, Uganda : an assessment of two methods. / Nieminen, Riikka; Sørensen, Marten; Theilade, Ida.

In: Agroforestry Systems, Vol. 91, No. 5, 2017, p. 967-979.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nieminen, R, Sørensen, M & Theilade, I 2017, 'Identification of indigenous fruits with export potential from Mukono district, Uganda: an assessment of two methods', Agroforestry Systems, vol. 91, no. 5, pp. 967-979. https://doi.org/10.1007/s10457-016-9971-6

APA

Nieminen, R., Sørensen, M., & Theilade, I. (2017). Identification of indigenous fruits with export potential from Mukono district, Uganda: an assessment of two methods. Agroforestry Systems, 91(5), 967-979. https://doi.org/10.1007/s10457-016-9971-6

Vancouver

Nieminen R, Sørensen M, Theilade I. Identification of indigenous fruits with export potential from Mukono district, Uganda: an assessment of two methods. Agroforestry Systems. 2017;91(5):967-979. https://doi.org/10.1007/s10457-016-9971-6

Author

Nieminen, Riikka ; Sørensen, Marten ; Theilade, Ida. / Identification of indigenous fruits with export potential from Mukono district, Uganda : an assessment of two methods. In: Agroforestry Systems. 2017 ; Vol. 91, No. 5. pp. 967-979.

Bibtex

@article{43f819b157a744a8ad154ba6b7d97597,
title = "Identification of indigenous fruits with export potential from Mukono district, Uganda: an assessment of two methods",
abstract = "Ethnobotanical studies and scorecard-based assessments have been used in identification and prioritisation of indigenous fruit trees with domestication and income potential at local levels. Less has been done to systematically identify species with potential for international markets. This study compared the applicability of the two methods to identify indigenous fruits with economic potential for export. The ethnobotanical study consisted of household and market surveys based on questionnaires, focus group discussions and key-informant interviews. The scorecard was based on pre-determined scoring criteria applied to species identified in the ethnobotanical study. Priority indigenous fruits identified in the ethnobotanical study included Canarium schweinfurtii, Vangueria apiculata, Garcinia buchananii and Tamarindus indica whereas the scorecard assessment identified a different set of species; i.e. V. apiculata, G. buchananii, Myrianthus arboreus, Pseudospondias microcarpa, Phoenix reclinata and Rhus vulgaris as having export potential. The ethnobotanical methods were effective in identifying species with local economic potential and hence high likelihood of adoption by local farmers while the scorecard method was found more useful to identify species with export potential.",
author = "Riikka Nieminen and Marten S{\o}rensen and Ida Theilade",
year = "2017",
doi = "10.1007/s10457-016-9971-6",
language = "English",
volume = "91",
pages = "967--979",
journal = "Agroforestry Systems",
issn = "0167-4366",
publisher = "Springer",
number = "5",

}

RIS

TY - JOUR

T1 - Identification of indigenous fruits with export potential from Mukono district, Uganda

T2 - an assessment of two methods

AU - Nieminen, Riikka

AU - Sørensen, Marten

AU - Theilade, Ida

PY - 2017

Y1 - 2017

N2 - Ethnobotanical studies and scorecard-based assessments have been used in identification and prioritisation of indigenous fruit trees with domestication and income potential at local levels. Less has been done to systematically identify species with potential for international markets. This study compared the applicability of the two methods to identify indigenous fruits with economic potential for export. The ethnobotanical study consisted of household and market surveys based on questionnaires, focus group discussions and key-informant interviews. The scorecard was based on pre-determined scoring criteria applied to species identified in the ethnobotanical study. Priority indigenous fruits identified in the ethnobotanical study included Canarium schweinfurtii, Vangueria apiculata, Garcinia buchananii and Tamarindus indica whereas the scorecard assessment identified a different set of species; i.e. V. apiculata, G. buchananii, Myrianthus arboreus, Pseudospondias microcarpa, Phoenix reclinata and Rhus vulgaris as having export potential. The ethnobotanical methods were effective in identifying species with local economic potential and hence high likelihood of adoption by local farmers while the scorecard method was found more useful to identify species with export potential.

AB - Ethnobotanical studies and scorecard-based assessments have been used in identification and prioritisation of indigenous fruit trees with domestication and income potential at local levels. Less has been done to systematically identify species with potential for international markets. This study compared the applicability of the two methods to identify indigenous fruits with economic potential for export. The ethnobotanical study consisted of household and market surveys based on questionnaires, focus group discussions and key-informant interviews. The scorecard was based on pre-determined scoring criteria applied to species identified in the ethnobotanical study. Priority indigenous fruits identified in the ethnobotanical study included Canarium schweinfurtii, Vangueria apiculata, Garcinia buchananii and Tamarindus indica whereas the scorecard assessment identified a different set of species; i.e. V. apiculata, G. buchananii, Myrianthus arboreus, Pseudospondias microcarpa, Phoenix reclinata and Rhus vulgaris as having export potential. The ethnobotanical methods were effective in identifying species with local economic potential and hence high likelihood of adoption by local farmers while the scorecard method was found more useful to identify species with export potential.

U2 - 10.1007/s10457-016-9971-6

DO - 10.1007/s10457-016-9971-6

M3 - Journal article

VL - 91

SP - 967

EP - 979

JO - Agroforestry Systems

JF - Agroforestry Systems

SN - 0167-4366

IS - 5

ER -

ID: 162379403