Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State

Bachama Boyi Noel; Audu Haruna Omar; Ibrahim Ahmed Kawu; Matai Emon Parmaina; Adamu Muhammad Kamaludeen; Tarki Sadiq Kubmuto

doi:doi:10.11648/j.ija.20200802.11

Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State

Bachama Boyi Noel, Audu Haruna Omar, Ibrahim Ahmed Kawu, Matai Emon Parmaina, Adamu Muhammad Kamaludeen, Tarki Sadiq Kubmuto

Published in International Journal of Archaeology (Volume 8, Issue 2)

Received: 22 September 2019 Accepted: 24 October 2019 Published: 17 September 2020

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Abstract

This work examines famers’ perception on the effect of rainfall variability on rice yield in Dadin-kowa, Yamaltu Deba Local Government Area of Gombe State. Nigeria. Data for the study were collected via questionnaire survey of 60 respondents and it also covered and relates with daily rainfall data for a period of Seventeen (17) years, 2001 to 2017 from Upper Benue River Basin Dadin-kowa Meteorological Centre. Frequency table and percentages was used to access the In-depth knowledge and the perceived effects of climate change, rainfall variability to be précised, on rice production. While the analysis using Cumulative Rainfall Model clearly demonstrates delay in onset of rainy season, early cessation of rainy season and shortening of the length of hydrological growing season. The result further reveals 30^th May as the onset mean date, the cessation mean date is 12^th October and hydrological growing season is having a mean of 137 days. Farmers make sequential decision: Adjusting planting timing in response to delays in the onset of rainy season while changing crop variety responding to delay in the end of previous year’s rainy season. The findings of the study show that the decrease in yield of rice is the immediate impacts of rainfall variability. Thus a study understanding farmers’ perception on the effects of rainfall variability on rice yield can prove extremely valuable.

Published in	International Journal of Archaeology (Volume 8, Issue 2)
DOI	10.11648/j.ija.20200802.11
Page(s)	15-21
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

Onset, Cessation, Hydrological Growing Season, Farmers Perception

References

[1]	Adejuwon, J. O (2006). Food crop production in Nigeria. II Potential Effects of Climate Change. Clim Res.
[2]	Egbe C, Aro MA, Okon AE, Bisong FE (2014). Rural Peoples’ Perception of Climate Change Variability/Change in Cross River State Nigeria.
[3]	Kuta, D. A (2011). Nigeria: Climate Change and Agriculture in country. Leadership (Abuja), September 18. Retrieved on March 17, 2015 from http://allafrica.com/nigeria/climate.
[4]	Tsado, J. H., Ojo. M. A., Ajayi. O. J. (2014). Impact of Training the Trainers’ Programme on Rive Farmers’ Income and Welfare in North Cntral. Nigerian Journal of Advanced Agricultural Technologies 1 (2): 157-160.
[5]	Zarakani, F., Sharafi, L., Azadi, H., Hosseininia, G., De Mayer, P., Witlox, F. (2012). Drought Vulnerability Assessment: The Case of Wheat Farmers In Western Iran. Global. Planet. Change. 2012, 98, 122-130.
[6]	Adeleke, M. L., Al-Kenawy, D., Nasr-Allah, A. M., Murphy, S., El-Naggar, G. O., Dickson, M., (2018). Fish farmers’ perceptions, impacts and adaptation on/of/to climate change in Africa (the case of Egypt and Nigeria). In: Theory and Practice of Climate Adaptation. Springer, Cham, pp. 269–295.
[7]	Food and Agriculture Organization, (2016). AQUASTAT Website. Food and Agriculture Organisation of the United Nations (FAO). Retrieved from. http://www.fao.org/nr/water/aquastat/countries_regions/NGA/.
[8]	Gebreyes, M., Zinyengere, N., Theodory, T. F., Speranza, C. I. (2017). Chapter 1-Introduction: grounding climate change, vulnerability, and adaptation in Africa. Beyond Agric. Impact. Mult. Perspect. Clim. Change Agric. Afr. 1–11. Retrieved from. https://www.sciencedirect.com/science/article/pii/B9780128126240000016.
[9]	Ochieng, J., Kirimi, L., Mathenge, M., (2016). Effects of climate variability and change on agricultural production: the case of small scale farmers in Kenya. NJAS Wagening. J. Life Sci. 77, 71–78.
[10]	Thakural, L. N., Kumar, S., Jain, S. K., Ahmad, T., (2018). The impact of climate change on rainfall variability: a study in central himalayas. In: Singh, V. P., Yadav, S., Yadava, R. N. (Eds.), Climate Change Impacts. Springer Singapore, pp. 181–192.
[11]	IPCC, (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. In: Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
[12]	Ford, J. D., Berrang-Ford, L., Bunce, A., McKay, C., Irwin, M., Pearce, T., (2015). The status of climate change adaptation in Africa and Asia. Reg. Environ. Chang. 15 (5), 801–814.
[13]	Bryan, E., Bernier, Q., Espinal, M., Ringler, C., (2017). Making climate change adaptation programmes in sub-Saharan Africa more gender responsive: insights from implementing organizations on the barriers and opportunities. Clim. Dev. 1–15. Retrieved from. http://www.tandfonline.com/doi/full/10.1080/17565529.2017.1301870.
[14]	Connolly-Boutin, L., Smit, B., (2016). Climate change, food security, and livelihoods in subSaharan Africa. Reg. Environ. Chang. 16 (2), 385–399.
[15]	Perez, C., Jones, E. M., Kristjanson, P., Cramer, L., Thornton, P. K., Forch, W., Barahona, C., € (2015). How resilient are farming households and communities to a changing climate in Africa? A gender-based perspective. Glob. Environ. Chang. 34, 95–107.
[16]	Sonwa, D. J., Dieye, A., Mzouri, E.-H. E., Majule, A., Mugabe, F. T., Omolo, N., et al., (2017). Drivers of climate risk in African agriculture. Clim. Dev. 9 (5), 383–398. Swedish International Development Cooperation Agency (SIDA), 2015. Women and food security. Gender Tool Box (Brief). https://www.sida.se/contentassets/bc3dc44b16c44725868e57125b9542e3/women-and-food-security.pdf.
[17]	De Souza, K., Kituyi, E., Harvey, B., Leone, M., Murali, K. S., Ford, J. D., (2015). Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. Reg. Environ.
[18]	Sertoglu, K., Ugural, S., Bekun, F. V., (2017). The contribution of agricultural sector on economic growth of Nigeria. Int. J. Econ. Financ. Issues 7 (1), 547–552. Retrieved from. http://www.econjournals.com/index.php/ijefi/article/view/3941.
[19]	Ologeh, I. O., Akarakiri, J. B., Adesina, F. A., (2018). Constraints and Limits to Climate Change Adaptation Efforts in Nigeria. Limits to Climate Change Adaptation. Springer, Cham, pp. 159–174.
[20]	Kanu, W. N., Onyekwere, I. A., Njemarize V. C. (2014) Demographic Factors and Sustainable Rice Production Among Male and Female Farmers in Rice Producing Communities of Imo State. Department of Sociology, Imo State University, Oweri, Nigeria.
[21]	Adam, A. G, Bidoli, T. D, Ammani, A. A and Oduehie T. C (2018). Gender Participation in Rice Processing Value Chain in Kebbi and Sokoto States, Nigeria. Global Journals Vol 18. 2018.
[22]	Federal Ministry of Agriculture and Rural Development. (FMARD). (2008) National Food Self Sufficiency. Retrieved from http: fmard.gov.ng.
[23]	Onyegbula C. B and Aladeji (2017) Rice farmer’s perception of the effects of climate on the development stages in Niger State. Academic journal. Vol 9. (2), pp. 14-19.
[24]	Ajetumobi, J., Abiodun A., Hassan K. (2010). Economic Impact of Climate Change on Rice Agriculture in Nigeria. Trop. Subtrop. Agroecosyst. 14 (2011): 613-622.
[25]	Alhassan, I., Saddiq, A. M., Gashua, A. G., Dantata, I. J. and Gwio kura, K. K. (2016). Evaluation of Irrigation Water Requirements of some Crops in Dadin-kowa Dam Irrigational Scheme of Nigeria. Gashua journal of Irrigationj and Desertification Studies, Vol. 2.
[26]	Ikusemoran M., Bala B. W and Lazarus A. M. (2016). Geospatial Techniques for Terrain Analysis of Gombe State Nigeria. Journal of Geography Environment and Earth Science International (6): 1-20.
[27]	Ibeje AO, Okoro B. C (2013). Short Term Forecasting of Dadin-kowa Reservoir Inflow using Artificial Neural Network. IJES. 63-73.
[28]	NIMET, 2016. 2016 Seasonal Rainfall Prediction (SRP). Retreived from. Nimet.gov.ng/sites/default/files/publications/2016%20SRP.pdf. NIMET (Nigerian Meteorological Agency), 2011. Nigeria Climate Review Bulletin. NIMET, Nigeria. Retrieved from. http://www.nimetng.org/uploads/publication/NIMET%20climate%20review%0PDF%202011%20(1).pdf.
[29]	NIMET (Nigerian Meteorological Agency), 2017. 2017 Seasonal Rainfall Prediction (SRP). Retrieved from. http://www.nimet.gov.ng/sites/default/files/publications/NiMet% 202017%20SRP_2.pdf.
[30]	Hovio, T. (2007). Women’s Role In Rice Farming. FAO Women and Population Division. Rome, pp. 1-9.
[31]	Arimi, K. (2014). Determinants of Climate Change Adaptation Strategies used by Rice Farmers in South-Western Nigeria. J. Agric. Rural Dev. Trop. Subtrop. 115 (2): 91-99.
[32]	Ajibola, A. O (2014). Climate Change Effect on Household Agric-Economy and Adaptative responses among Agricultural Households in Nigeria. Contribution Paper Presentation at the Centre for the Study of African Economies at St. Caterine’s College, Oxford University UK. 23-25 March.
[33]	WARDA (2008) Africa Rice Trends 2007. Africa Rice Center (WARDA), Cotonou, Benin.
[34]	Nwoye, M. (2007). Gender Responsive Entrepreneurial Economy of Nigeria Enabling Women in a Disabling Environment. A Monograph. Pp. 12.

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APA Style

Bachama Boyi Noel, Audu Haruna Omar, Ibrahim Ahmed Kawu, Matai Emon Parmaina, Adamu Muhammad Kamaludeen, et al. (2020). Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. International Journal of Archaeology, 8(2), 15-21. https://doi.org/10.11648/j.ija.20200802.11

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ACS Style

Bachama Boyi Noel; Audu Haruna Omar; Ibrahim Ahmed Kawu; Matai Emon Parmaina; Adamu Muhammad Kamaludeen, et al. Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. Int. J. Archaeol. 2020, 8(2), 15-21. doi: 10.11648/j.ija.20200802.11

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AMA Style

Bachama Boyi Noel, Audu Haruna Omar, Ibrahim Ahmed Kawu, Matai Emon Parmaina, Adamu Muhammad Kamaludeen, et al. Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. Int J Archaeol. 2020;8(2):15-21. doi: 10.11648/j.ija.20200802.11

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@article{10.11648/j.ija.20200802.11,
  author = {Bachama Boyi Noel and Audu Haruna Omar and Ibrahim Ahmed Kawu and Matai Emon Parmaina and Adamu Muhammad Kamaludeen and Tarki Sadiq Kubmuto},
  title = {Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State},
  journal = {International Journal of Archaeology},
  volume = {8},
  number = {2},
  pages = {15-21},
  doi = {10.11648/j.ija.20200802.11},
  url = {https://doi.org/10.11648/j.ija.20200802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ija.20200802.11},
  abstract = {This work examines famers’ perception on the effect of rainfall variability on rice yield in Dadin-kowa, Yamaltu Deba Local Government Area of Gombe State. Nigeria. Data for the study were collected via questionnaire survey of 60 respondents and it also covered and relates with daily rainfall data for a period of Seventeen (17) years, 2001 to 2017 from Upper Benue River Basin Dadin-kowa Meteorological Centre. Frequency table and percentages was used to access the In-depth knowledge and the perceived effects of climate change, rainfall variability to be précised, on rice production. While the analysis using Cumulative Rainfall Model clearly demonstrates delay in onset of rainy season, early cessation of rainy season and shortening of the length of hydrological growing season. The result further reveals 30th May as the onset mean date, the cessation mean date is 12th October and hydrological growing season is having a mean of 137 days. Farmers make sequential decision: Adjusting planting timing in response to delays in the onset of rainy season while changing crop variety responding to delay in the end of previous year’s rainy season. The findings of the study show that the decrease in yield of rice is the immediate impacts of rainfall variability. Thus a study understanding farmers’ perception on the effects of rainfall variability on rice yield can prove extremely valuable.},
 year = {2020}
}

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TY  - JOUR
T1  - Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State
AU  - Bachama Boyi Noel
AU  - Audu Haruna Omar
AU  - Ibrahim Ahmed Kawu
AU  - Matai Emon Parmaina
AU  - Adamu Muhammad Kamaludeen
AU  - Tarki Sadiq Kubmuto
Y1  - 2020/09/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ija.20200802.11
DO  - 10.11648/j.ija.20200802.11
T2  - International Journal of Archaeology
JF  - International Journal of Archaeology
JO  - International Journal of Archaeology
SP  - 15
EP  - 21
PB  - Science Publishing Group
SN  - 2330-7595
UR  - https://doi.org/10.11648/j.ija.20200802.11
AB  - This work examines famers’ perception on the effect of rainfall variability on rice yield in Dadin-kowa, Yamaltu Deba Local Government Area of Gombe State. Nigeria. Data for the study were collected via questionnaire survey of 60 respondents and it also covered and relates with daily rainfall data for a period of Seventeen (17) years, 2001 to 2017 from Upper Benue River Basin Dadin-kowa Meteorological Centre. Frequency table and percentages was used to access the In-depth knowledge and the perceived effects of climate change, rainfall variability to be précised, on rice production. While the analysis using Cumulative Rainfall Model clearly demonstrates delay in onset of rainy season, early cessation of rainy season and shortening of the length of hydrological growing season. The result further reveals 30th May as the onset mean date, the cessation mean date is 12th October and hydrological growing season is having a mean of 137 days. Farmers make sequential decision: Adjusting planting timing in response to delays in the onset of rainy season while changing crop variety responding to delay in the end of previous year’s rainy season. The findings of the study show that the decrease in yield of rice is the immediate impacts of rainfall variability. Thus a study understanding farmers’ perception on the effects of rainfall variability on rice yield can prove extremely valuable.
VL  - 8
IS  - 2
ER  -

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Author Information

Bachama Boyi Noel

Department Geography, Faculty of Humanities Management and Social Sciences, Federal University of Kashere, Kashere, Nigeria
Audu Haruna Omar

Department Geography, Faculty of Humanities Management and Social Sciences, Federal University of Kashere, Kashere, Nigeria
Ibrahim Ahmed Kawu

Department of Soil Science, Federal University of Kashere, Kashere, Nigeria
Matai Emon Parmaina

Department of Horticultural Technology, Federal Collage of Horticulture, Dadin Kowa, Nigeria
Adamu Muhammad Kamaludeen

Department Geography, Faculty of Humanities Management and Social Sciences, Federal University of Kashere, Kashere, Nigeria
Tarki Sadiq Kubmuto

Department of Agricultural Economics, Federal University of Kashere, Kashere, Nigeria

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APA Style

Bachama Boyi Noel, Audu Haruna Omar, Ibrahim Ahmed Kawu, Matai Emon Parmaina, Adamu Muhammad Kamaludeen, et al. (2020). Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. International Journal of Archaeology, 8(2), 15-21. https://doi.org/10.11648/j.ija.20200802.11

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ACS Style

Bachama Boyi Noel; Audu Haruna Omar; Ibrahim Ahmed Kawu; Matai Emon Parmaina; Adamu Muhammad Kamaludeen, et al. Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. Int. J. Archaeol. 2020, 8(2), 15-21. doi: 10.11648/j.ija.20200802.11

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AMA Style

Bachama Boyi Noel, Audu Haruna Omar, Ibrahim Ahmed Kawu, Matai Emon Parmaina, Adamu Muhammad Kamaludeen, et al. Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State. Int J Archaeol. 2020;8(2):15-21. doi: 10.11648/j.ija.20200802.11

Copy | Download

@article{10.11648/j.ija.20200802.11,
  author = {Bachama Boyi Noel and Audu Haruna Omar and Ibrahim Ahmed Kawu and Matai Emon Parmaina and Adamu Muhammad Kamaludeen and Tarki Sadiq Kubmuto},
  title = {Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State},
  journal = {International Journal of Archaeology},
  volume = {8},
  number = {2},
  pages = {15-21},
  doi = {10.11648/j.ija.20200802.11},
  url = {https://doi.org/10.11648/j.ija.20200802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ija.20200802.11},
  abstract = {This work examines famers’ perception on the effect of rainfall variability on rice yield in Dadin-kowa, Yamaltu Deba Local Government Area of Gombe State. Nigeria. Data for the study were collected via questionnaire survey of 60 respondents and it also covered and relates with daily rainfall data for a period of Seventeen (17) years, 2001 to 2017 from Upper Benue River Basin Dadin-kowa Meteorological Centre. Frequency table and percentages was used to access the In-depth knowledge and the perceived effects of climate change, rainfall variability to be précised, on rice production. While the analysis using Cumulative Rainfall Model clearly demonstrates delay in onset of rainy season, early cessation of rainy season and shortening of the length of hydrological growing season. The result further reveals 30th May as the onset mean date, the cessation mean date is 12th October and hydrological growing season is having a mean of 137 days. Farmers make sequential decision: Adjusting planting timing in response to delays in the onset of rainy season while changing crop variety responding to delay in the end of previous year’s rainy season. The findings of the study show that the decrease in yield of rice is the immediate impacts of rainfall variability. Thus a study understanding farmers’ perception on the effects of rainfall variability on rice yield can prove extremely valuable.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Farmers’ Perception on the Effect of Rainfall Variability on Rice Yield in Dadin-Kowa of Gombe, Gombe State
AU  - Bachama Boyi Noel
AU  - Audu Haruna Omar
AU  - Ibrahim Ahmed Kawu
AU  - Matai Emon Parmaina
AU  - Adamu Muhammad Kamaludeen
AU  - Tarki Sadiq Kubmuto
Y1  - 2020/09/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ija.20200802.11
DO  - 10.11648/j.ija.20200802.11
T2  - International Journal of Archaeology
JF  - International Journal of Archaeology
JO  - International Journal of Archaeology
SP  - 15
EP  - 21
PB  - Science Publishing Group
SN  - 2330-7595
UR  - https://doi.org/10.11648/j.ija.20200802.11
AB  - This work examines famers’ perception on the effect of rainfall variability on rice yield in Dadin-kowa, Yamaltu Deba Local Government Area of Gombe State. Nigeria. Data for the study were collected via questionnaire survey of 60 respondents and it also covered and relates with daily rainfall data for a period of Seventeen (17) years, 2001 to 2017 from Upper Benue River Basin Dadin-kowa Meteorological Centre. Frequency table and percentages was used to access the In-depth knowledge and the perceived effects of climate change, rainfall variability to be précised, on rice production. While the analysis using Cumulative Rainfall Model clearly demonstrates delay in onset of rainy season, early cessation of rainy season and shortening of the length of hydrological growing season. The result further reveals 30th May as the onset mean date, the cessation mean date is 12th October and hydrological growing season is having a mean of 137 days. Farmers make sequential decision: Adjusting planting timing in response to delays in the onset of rainy season while changing crop variety responding to delay in the end of previous year’s rainy season. The findings of the study show that the decrease in yield of rice is the immediate impacts of rainfall variability. Thus a study understanding farmers’ perception on the effects of rainfall variability on rice yield can prove extremely valuable.
VL  - 8
IS  - 2
ER  -

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