Determinants of Maize (<i>Zea mays L.</i>) Varietal Turnover in Ethiopia

Guta Bukero

doi:doi:10.11648/j.ijaas.20230901.15

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Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia

Guta Bukero

Published in International Journal of Applied Agricultural Sciences (Volume 9, Issue 1)

Received: 2 September 2022 Accepted: 14 September 2022 Published: 27 February 2023

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Abstract

While many smallholder farmers all over the developing countries have benefited from the introduction of first-generation green revolution cultivars that replaced lower-yielding landraces, adoption of second and third-generation cultivars offering improvements in yield, output quality, and stress resistance seems now to be occurring at a much slower pace. Most varietal adoption and impact assessment studies in the past have relied on farmers’ responses at household level surveys to estimate these indicators. Such method of ‘farmer elicitation’ to estimate varietal adoption can be fairly accurate in a setting where farmers are mostly planting seeds freshly purchased or acquired from the formal seed market as certified or truthfully labeled seed, and the seed system is well-functioning and effective in monitoring the quality and genetic identity of varieties being sold by the seed suppliers. Thus, this study focused on varietal turnover by calculating an index of the weighted average age of varieties grown by farmers in a given year (measured in years since release) and factors affecting this varietal turnover, using a recently collected DNA fingerprinting dataset. Secondary data from the household survey data collected by Central Statistical Agency were used in the analysis. The multiple linear regression models were used in identifying determinants of maize cultivars varietal turnover. Econometric results indicate that, Farmers’ experience in growing maize affects WA weakly and statistically significant and positive. This implies that more experienced farmers are refusing to change their varieties as they are small holders and so risk averse. Family size being positively affecting varietal turnover also implies that if the decision to cultivate a new variety requires consensus among key family members who are involved in farming, then idea generation and making decision may become more difficult and taking time, causing households to forgo varietal turnover in order to avoid disagreement.

Published in	International Journal of Applied Agricultural Sciences (Volume 9, Issue 1)
DOI	10.11648/j.ijaas.20230901.15
Page(s)	21-30
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), 2024. Published by Science Publishing Group

Keywords

DNA Fingerprinting, Varietal Turnover, Age of Varieties

References

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[15]	Mose, L. O., Onyango, L., Rono, S., Kute, C. and Ruto, C. R. (2000). “Factors that influence the adoption of organic and inorganic fertilizers in maize and kales in north rift valley region of Kenya.”In Participatory Technology Development for Soil Management. Proceeding of 2nd Scientific Conference of Soil management and Legume Research Network Projects. Mombasa, 384-392.
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Guta Bukero. (2023). Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. International Journal of Applied Agricultural Sciences, 9(1), 21-30. https://doi.org/10.11648/j.ijaas.20230901.15

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Guta Bukero. Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. Int. J. Appl. Agric. Sci. 2023, 9(1), 21-30. doi: 10.11648/j.ijaas.20230901.15

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AMA Style

Guta Bukero. Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. Int J Appl Agric Sci. 2023;9(1):21-30. doi: 10.11648/j.ijaas.20230901.15

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@article{10.11648/j.ijaas.20230901.15,
  author = {Guta Bukero},
  title = {Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia},
  journal = {International Journal of Applied Agricultural Sciences},
  volume = {9},
  number = {1},
  pages = {21-30},
  doi = {10.11648/j.ijaas.20230901.15},
  url = {https://doi.org/10.11648/j.ijaas.20230901.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20230901.15},
  abstract = {While many smallholder farmers all over the developing countries have benefited from the introduction of first-generation green revolution cultivars that replaced lower-yielding landraces, adoption of second and third-generation cultivars offering improvements in yield, output quality, and stress resistance seems now to be occurring at a much slower pace. Most varietal adoption and impact assessment studies in the past have relied on farmers’ responses at household level surveys to estimate these indicators. Such method of ‘farmer elicitation’ to estimate varietal adoption can be fairly accurate in a setting where farmers are mostly planting seeds freshly purchased or acquired from the formal seed market as certified or truthfully labeled seed, and the seed system is well-functioning and effective in monitoring the quality and genetic identity of varieties being sold by the seed suppliers. Thus, this study focused on varietal turnover by calculating an index of the weighted average age of varieties grown by farmers in a given year (measured in years since release) and factors affecting this varietal turnover, using a recently collected DNA fingerprinting dataset. Secondary data from the household survey data collected by Central Statistical Agency were used in the analysis. The multiple linear regression models were used in identifying determinants of maize cultivars varietal turnover. Econometric results indicate that, Farmers’ experience in growing maize affects WA weakly and statistically significant and positive. This implies that more experienced farmers are refusing to change their varieties as they are small holders and so risk averse. Family size being positively affecting varietal turnover also implies that if the decision to cultivate a new variety requires consensus among key family members who are involved in farming, then idea generation and making decision may become more difficult and taking time, causing households to forgo varietal turnover in order to avoid disagreement.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia
AU  - Guta Bukero
Y1  - 2023/02/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ijaas.20230901.15
DO  - 10.11648/j.ijaas.20230901.15
T2  - International Journal of Applied Agricultural Sciences
JF  - International Journal of Applied Agricultural Sciences
JO  - International Journal of Applied Agricultural Sciences
SP  - 21
EP  - 30
PB  - Science Publishing Group
SN  - 2469-7885
UR  - https://doi.org/10.11648/j.ijaas.20230901.15
AB  - While many smallholder farmers all over the developing countries have benefited from the introduction of first-generation green revolution cultivars that replaced lower-yielding landraces, adoption of second and third-generation cultivars offering improvements in yield, output quality, and stress resistance seems now to be occurring at a much slower pace. Most varietal adoption and impact assessment studies in the past have relied on farmers’ responses at household level surveys to estimate these indicators. Such method of ‘farmer elicitation’ to estimate varietal adoption can be fairly accurate in a setting where farmers are mostly planting seeds freshly purchased or acquired from the formal seed market as certified or truthfully labeled seed, and the seed system is well-functioning and effective in monitoring the quality and genetic identity of varieties being sold by the seed suppliers. Thus, this study focused on varietal turnover by calculating an index of the weighted average age of varieties grown by farmers in a given year (measured in years since release) and factors affecting this varietal turnover, using a recently collected DNA fingerprinting dataset. Secondary data from the household survey data collected by Central Statistical Agency were used in the analysis. The multiple linear regression models were used in identifying determinants of maize cultivars varietal turnover. Econometric results indicate that, Farmers’ experience in growing maize affects WA weakly and statistically significant and positive. This implies that more experienced farmers are refusing to change their varieties as they are small holders and so risk averse. Family size being positively affecting varietal turnover also implies that if the decision to cultivate a new variety requires consensus among key family members who are involved in farming, then idea generation and making decision may become more difficult and taking time, causing households to forgo varietal turnover in order to avoid disagreement.
VL  - 9
IS  - 1
ER  -

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Author Information

Guta Bukero

Ethiopian Institute of Agricultural Research, Wondo Genet Agricultural Research Centre, Shashemene, Ethiopia

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APA Style

Guta Bukero. (2023). Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. International Journal of Applied Agricultural Sciences, 9(1), 21-30. https://doi.org/10.11648/j.ijaas.20230901.15

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ACS Style

Guta Bukero. Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. Int. J. Appl. Agric. Sci. 2023, 9(1), 21-30. doi: 10.11648/j.ijaas.20230901.15

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AMA Style

Guta Bukero. Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia. Int J Appl Agric Sci. 2023;9(1):21-30. doi: 10.11648/j.ijaas.20230901.15

Copy | Download

@article{10.11648/j.ijaas.20230901.15,
  author = {Guta Bukero},
  title = {Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia},
  journal = {International Journal of Applied Agricultural Sciences},
  volume = {9},
  number = {1},
  pages = {21-30},
  doi = {10.11648/j.ijaas.20230901.15},
  url = {https://doi.org/10.11648/j.ijaas.20230901.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20230901.15},
  abstract = {While many smallholder farmers all over the developing countries have benefited from the introduction of first-generation green revolution cultivars that replaced lower-yielding landraces, adoption of second and third-generation cultivars offering improvements in yield, output quality, and stress resistance seems now to be occurring at a much slower pace. Most varietal adoption and impact assessment studies in the past have relied on farmers’ responses at household level surveys to estimate these indicators. Such method of ‘farmer elicitation’ to estimate varietal adoption can be fairly accurate in a setting where farmers are mostly planting seeds freshly purchased or acquired from the formal seed market as certified or truthfully labeled seed, and the seed system is well-functioning and effective in monitoring the quality and genetic identity of varieties being sold by the seed suppliers. Thus, this study focused on varietal turnover by calculating an index of the weighted average age of varieties grown by farmers in a given year (measured in years since release) and factors affecting this varietal turnover, using a recently collected DNA fingerprinting dataset. Secondary data from the household survey data collected by Central Statistical Agency were used in the analysis. The multiple linear regression models were used in identifying determinants of maize cultivars varietal turnover. Econometric results indicate that, Farmers’ experience in growing maize affects WA weakly and statistically significant and positive. This implies that more experienced farmers are refusing to change their varieties as they are small holders and so risk averse. Family size being positively affecting varietal turnover also implies that if the decision to cultivate a new variety requires consensus among key family members who are involved in farming, then idea generation and making decision may become more difficult and taking time, causing households to forgo varietal turnover in order to avoid disagreement.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinants of Maize (Zea mays L.) Varietal Turnover in Ethiopia
AU  - Guta Bukero
Y1  - 2023/02/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ijaas.20230901.15
DO  - 10.11648/j.ijaas.20230901.15
T2  - International Journal of Applied Agricultural Sciences
JF  - International Journal of Applied Agricultural Sciences
JO  - International Journal of Applied Agricultural Sciences
SP  - 21
EP  - 30
PB  - Science Publishing Group
SN  - 2469-7885
UR  - https://doi.org/10.11648/j.ijaas.20230901.15
AB  - While many smallholder farmers all over the developing countries have benefited from the introduction of first-generation green revolution cultivars that replaced lower-yielding landraces, adoption of second and third-generation cultivars offering improvements in yield, output quality, and stress resistance seems now to be occurring at a much slower pace. Most varietal adoption and impact assessment studies in the past have relied on farmers’ responses at household level surveys to estimate these indicators. Such method of ‘farmer elicitation’ to estimate varietal adoption can be fairly accurate in a setting where farmers are mostly planting seeds freshly purchased or acquired from the formal seed market as certified or truthfully labeled seed, and the seed system is well-functioning and effective in monitoring the quality and genetic identity of varieties being sold by the seed suppliers. Thus, this study focused on varietal turnover by calculating an index of the weighted average age of varieties grown by farmers in a given year (measured in years since release) and factors affecting this varietal turnover, using a recently collected DNA fingerprinting dataset. Secondary data from the household survey data collected by Central Statistical Agency were used in the analysis. The multiple linear regression models were used in identifying determinants of maize cultivars varietal turnover. Econometric results indicate that, Farmers’ experience in growing maize affects WA weakly and statistically significant and positive. This implies that more experienced farmers are refusing to change their varieties as they are small holders and so risk averse. Family size being positively affecting varietal turnover also implies that if the decision to cultivate a new variety requires consensus among key family members who are involved in farming, then idea generation and making decision may become more difficult and taking time, causing households to forgo varietal turnover in order to avoid disagreement.
VL  - 9
IS  - 1
ER  -

Copy | Download