Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia

Walelgn Yalew; Sisay Yehuala; Tigist Petros

doi:doi:10.11648/j.ijees.20200505.11

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Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia

Walelgn Yalew, Sisay Yehuala, Tigist Petros

Published in International Journal of Energy and Environmental Science (Volume 5, Issue 5)

Received: 27 February 2020 Accepted: 13 March 2020 Published: 30 September 2020

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Abstract

Improved Seed is a key input for increasing crop production and productivity. Improving the quality of seeds can increase the yield potential of the crop by significant folds. However, due to the growing demands of the farmers in the study area for improved agricultural inputs, the supply sector could not satisfy the needs of the farmers. This indicates that there are different factors directly or indirectly influencing the input supply system. Hence, this study focuses on the Determinants of the adoption of improved Sorghum and Sesame seeds in West Gondar Zone. The research adopts a cross sectional survey design that combines both qualitative and quantitative research approaches. To conduct this study a multi stage purposive and simple random sampling technique was applied. A total of 150 sample household heads was selected from the two kebeles proportionally to their population size by using systematic random sampling technique. The data were collected from both primary and secondary sources of data. Data analysis was done by using descriptive statistics like frequency, mean, and standard deviation. Moreover, inferential statistics like Chi-square T-test was used to test whether there is a significant difference among the dummy/categorical and continuous variables respectively. The binary logit model was also used. The results of the study indicated that for both the technologies 83 (36.4%) of the sampled farm households were found to be adopters, whereas the remaining 145 (63.6%) were non-adopters. The maximum likelihood estimates of the logistic regression model show that livestock holding in TLU (LSTOCKHO), farming experience (FARMEXP), fertilizer use (FERUSE) and total income (TOTALINCOME) were important and significant factors influencing smallholder farmers’ adoption improved sesame seed variety in the study area. The government has to give a great emphasis on the technology dissemination and awareness about the adoption of improved seeds.

Published in	International Journal of Energy and Environmental Science (Volume 5, Issue 5)
DOI	10.11648/j.ijees.20200505.11
Page(s)	82-89
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Improved Seed, Binary Logistic Model, Adoption of Improved Seed, Sorghum & Maize

References

[1]	Agriculture in the developing world: connecting innovation in plant breeding research to downstream applications. PNAS102 (44): 15739-15746.
[2]	Recent Development in Seed Systems of Ethiopia.
[3]	A baseline survey on the Ethiopian seed sector. The African seed trade association. October, 2010. Addis Ababa, Ethiopia.
[4]	Seeds of confusion: the impact of policies on seed systems. Dissertation. Wageningen: Wageningen University.
[5]	Ethiopian Agricultural Sample Enumeration, 2001/2002 (1994 E. C.). Results at country level. Statistical report on farm management practices, livestock and farm implements. Part 2. Addis Ababa: Central Statistical Authority.
[6]	The status of the Ethiopian seed industry and the role of the Ethiopian Seed Enterprise. In: Farmers’ seeds and varieties: supporting informal seed supply in Ethiopia. 23-33. Wageningen: Wageningen International.
[7]	Commercialization of Ethiopian agriculture: Extension service from input supplier to knowledge broker and facilitator. IPMS (Improving Productivity and Market Success) of Ethiopian farmers project working paper 1. ILRI (International Livestock Research Institute), Nairobi, Kenya. 36p.
[8]	FAO/WFP Crop and Food supply assessment mission to Ethiopia, 24 February 2008.
[9]	Central Statistical Authority of Ethiopia, 2005-2010. Annual Agricultural Sample Survey Report. Addis Ababa, Ethiopia.
[10]	Seed system potential in Ethiopia: Constraints and opportunities for enhancing the seed sector. International Food Policy Research Institute.
[11]	A baseline survey on the Ethiopian seed sector. The African seed trade association. October, 2011. Addis Ababa, Ethiopia.
[12]	Marja HT, B Zewdie, B Abdurahman and S Walter (2008). Farmers, Seeds and Varieties. Wageningen International, the Netherlands.
[13]	Menard, S (2002). Applied Logistic Regression Analyis Sage Publications, Inc.
[14]	Liao, T. F (1994). Interpreting Probability Models Logit, Probit, and Other generalized Linear Models. Sage University paper Series on Qunatitative Applications in the social sciences. California: Sage. Thousand Oaks.
[15]	Access to Seed and Variety Adoption of Farmers in Ethiopia: A Case of Open Pollinated Maize in Drought-Prone Central Rift Valley. Dissertation Submitted in Partial Fulfillment of the Requirements for Degree of Doctor of Philosophy in International Development Graduate School of International Development, Nagoya University.
[16]	Feleke, S. and Zegeye, T (2005). Adoption of improved maize varieties in Southern Ethiopia.

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APA Style

Walelgn Yalew, Sisay Yehuala, Tigist Petros. (2020). Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. International Journal of Energy and Environmental Science, 5(5), 82-89. https://doi.org/10.11648/j.ijees.20200505.11

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ACS Style

Walelgn Yalew; Sisay Yehuala; Tigist Petros. Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. Int. J. Energy Environ. Sci. 2020, 5(5), 82-89. doi: 10.11648/j.ijees.20200505.11

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AMA Style

Walelgn Yalew, Sisay Yehuala, Tigist Petros. Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. Int J Energy Environ Sci. 2020;5(5):82-89. doi: 10.11648/j.ijees.20200505.11

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@article{10.11648/j.ijees.20200505.11,
  author = {Walelgn Yalew and Sisay Yehuala and Tigist Petros},
  title = {Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia},
  journal = {International Journal of Energy and Environmental Science},
  volume = {5},
  number = {5},
  pages = {82-89},
  doi = {10.11648/j.ijees.20200505.11},
  url = {https://doi.org/10.11648/j.ijees.20200505.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20200505.11},
  abstract = {Improved Seed is a key input for increasing crop production and productivity. Improving the quality of seeds can increase the yield potential of the crop by significant folds. However, due to the growing demands of the farmers in the study area for improved agricultural inputs, the supply sector could not satisfy the needs of the farmers. This indicates that there are different factors directly or indirectly influencing the input supply system. Hence, this study focuses on the Determinants of the adoption of improved Sorghum and Sesame seeds in West Gondar Zone. The research adopts a cross sectional survey design that combines both qualitative and quantitative research approaches. To conduct this study a multi stage purposive and simple random sampling technique was applied. A total of 150 sample household heads was selected from the two kebeles proportionally to their population size by using systematic random sampling technique. The data were collected from both primary and secondary sources of data. Data analysis was done by using descriptive statistics like frequency, mean, and standard deviation. Moreover, inferential statistics like Chi-square T-test was used to test whether there is a significant difference among the dummy/categorical and continuous variables respectively. The binary logit model was also used. The results of the study indicated that for both the technologies 83 (36.4%) of the sampled farm households were found to be adopters, whereas the remaining 145 (63.6%) were non-adopters. The maximum likelihood estimates of the logistic regression model show that livestock holding in TLU (LSTOCKHO), farming experience (FARMEXP), fertilizer use (FERUSE) and total income (TOTALINCOME) were important and significant factors influencing smallholder farmers’ adoption improved sesame seed variety in the study area. The government has to give a great emphasis on the technology dissemination and awareness about the adoption of improved seeds.},
 year = {2020}
}

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TY - JOUR
T1 - Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia
AU - Walelgn Yalew
AU - Sisay Yehuala
AU - Tigist Petros
Y1 - 2020/09/30
PY - 2020
N1 - https://doi.org/10.11648/j.ijees.20200505.11
DO - 10.11648/j.ijees.20200505.11
T2 - International Journal of Energy and Environmental Science
JF - International Journal of Energy and Environmental Science
JO - International Journal of Energy and Environmental Science
SP - 82
EP - 89
PB - Science Publishing Group
SN - 2578-9546
UR - https://doi.org/10.11648/j.ijees.20200505.11
AB - Improved Seed is a key input for increasing crop production and productivity. Improving the quality of seeds can increase the yield potential of the crop by significant folds. However, due to the growing demands of the farmers in the study area for improved agricultural inputs, the supply sector could not satisfy the needs of the farmers. This indicates that there are different factors directly or indirectly influencing the input supply system. Hence, this study focuses on the Determinants of the adoption of improved Sorghum and Sesame seeds in West Gondar Zone. The research adopts a cross sectional survey design that combines both qualitative and quantitative research approaches. To conduct this study a multi stage purposive and simple random sampling technique was applied. A total of 150 sample household heads was selected from the two kebeles proportionally to their population size by using systematic random sampling technique. The data were collected from both primary and secondary sources of data. Data analysis was done by using descriptive statistics like frequency, mean, and standard deviation. Moreover, inferential statistics like Chi-square T-test was used to test whether there is a significant difference among the dummy/categorical and continuous variables respectively. The binary logit model was also used. The results of the study indicated that for both the technologies 83 (36.4%) of the sampled farm households were found to be adopters, whereas the remaining 145 (63.6%) were non-adopters. The maximum likelihood estimates of the logistic regression model show that livestock holding in TLU (LSTOCKHO), farming experience (FARMEXP), fertilizer use (FERUSE) and total income (TOTALINCOME) were important and significant factors influencing smallholder farmers’ adoption improved sesame seed variety in the study area. The government has to give a great emphasis on the technology dissemination and awareness about the adoption of improved seeds.
VL - 5
IS - 5
ER -

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Author Information

Walelgn Yalew

Department of Agricultural Economics, University of Gondar, Gondar, Ethiopia
Sisay Yehuala

Department of Rural Development & Agricultural Extension, University of Gondar, Gondar, Ethiopia
Tigist Petros

Department of Rural Development & Agricultural Extension, University of Gondar, Gondar, Ethiopia

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APA Style

Walelgn Yalew, Sisay Yehuala, Tigist Petros. (2020). Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. International Journal of Energy and Environmental Science, 5(5), 82-89. https://doi.org/10.11648/j.ijees.20200505.11

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ACS Style

Walelgn Yalew; Sisay Yehuala; Tigist Petros. Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. Int. J. Energy Environ. Sci. 2020, 5(5), 82-89. doi: 10.11648/j.ijees.20200505.11

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AMA Style

Walelgn Yalew, Sisay Yehuala, Tigist Petros. Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia. Int J Energy Environ Sci. 2020;5(5):82-89. doi: 10.11648/j.ijees.20200505.11

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@article{10.11648/j.ijees.20200505.11,
  author = {Walelgn Yalew and Sisay Yehuala and Tigist Petros},
  title = {Determinants of the Adoption of Improved Sorghum and Sesame Seeds; the Case of West Gondar Zone, Ethiopia},
  journal = {International Journal of Energy and Environmental Science},
  volume = {5},
  number = {5},
  pages = {82-89},
  doi = {10.11648/j.ijees.20200505.11},
  url = {https://doi.org/10.11648/j.ijees.20200505.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20200505.11},
  abstract = {Improved Seed is a key input for increasing crop production and productivity. Improving the quality of seeds can increase the yield potential of the crop by significant folds. However, due to the growing demands of the farmers in the study area for improved agricultural inputs, the supply sector could not satisfy the needs of the farmers. This indicates that there are different factors directly or indirectly influencing the input supply system. Hence, this study focuses on the Determinants of the adoption of improved Sorghum and Sesame seeds in West Gondar Zone. The research adopts a cross sectional survey design that combines both qualitative and quantitative research approaches. To conduct this study a multi stage purposive and simple random sampling technique was applied. A total of 150 sample household heads was selected from the two kebeles proportionally to their population size by using systematic random sampling technique. The data were collected from both primary and secondary sources of data. Data analysis was done by using descriptive statistics like frequency, mean, and standard deviation. Moreover, inferential statistics like Chi-square T-test was used to test whether there is a significant difference among the dummy/categorical and continuous variables respectively. The binary logit model was also used. The results of the study indicated that for both the technologies 83 (36.4%) of the sampled farm households were found to be adopters, whereas the remaining 145 (63.6%) were non-adopters. The maximum likelihood estimates of the logistic regression model show that livestock holding in TLU (LSTOCKHO), farming experience (FARMEXP), fertilizer use (FERUSE) and total income (TOTALINCOME) were important and significant factors influencing smallholder farmers’ adoption improved sesame seed variety in the study area. The government has to give a great emphasis on the technology dissemination and awareness about the adoption of improved seeds.},
 year = {2020}
}

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