Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria

Obianefo Chukwujekwu Aloysius; Anarah Emeka Samuel; Osuafor Ogonna Olive; Anumudu Oluchi Odinaka

doi:doi:10.11648/j.aff.20200902.13

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Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria

Obianefo Chukwujekwu Aloysius, Anarah Emeka Samuel, Osuafor Ogonna Olive, Anumudu Oluchi Odinaka

Published in Agriculture, Forestry and Fisheries (Volume 9, Issue 2)

Received: 1 December 2019 Accepted: 16 December 2019 Published: 19 May 2020

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Abstract

The study on the determinant of rain-fed and dry season rice farming in Ayamelum Local Government Area of Anambra State, Nigeria estimated the production function of rice farmers at rain-fed, as well as at dry season. The study equally looked at the challenges confronting rice farmers in the study area at both season. A well-structured questionnaire as well as face to face interview were the research instruments used to elicit information from randomly selected 100 (70 rain-fed and 30 dry seasons) rice farmers for the study. A combination of analytical tools were utilized, multiple regression and principal factor analysis were the research models used to operationalize the study concept. The regression result with the highest significant variables as well as the highest coefficient of multiple determinant (R2) were chosen as the lead equation, while each challenges confronting rice farmers at both season in the study area were named according to the factors with the highest loading. The study found out that the R2 for both rain-fed and dry season rice farming was 0.8951 and 0.7999 respectively. These confirms that the error beyond the control of the farmers at rain-fed was 10.5% and 20.0% at dry season. The study equally revealed that the determinants of rain-fed rice farming were fertilizer (β = 0.484 and t = 5.11**), urea (β = 0.661 and t = 4.43**), agro-chemical (β = 27.488 and t = 4.65**) and labour (β = 28.008 and t = 4.42**). While labour supply (β = 39.425 and t = 16.09**) and farm size (β = 250.344 and t = 4.19**) were the determinants of dry season rice farming in the study area. Environmental factor accounted for 21.42% and 21.79% of the variance of factors challenging rice farming at rain-fed and dry season respectively. Institutional factor accounted for 15.34% and 17.90% of the variance of factors challenging rice farming at rain-fed and dry season respectively, and Economic accounted for 13.51% and 14.37% of the variance of factors challenging rice farming at rain-fed and dry season respectively. The three factors explained 50.28% and 54.06% of the variance of the factors challenging rice farming at both season in Ayamelum Local Government Area.

Published in	Agriculture, Forestry and Fisheries (Volume 9, Issue 2)
DOI	10.11648/j.aff.20200902.13
Page(s)	33-38
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

Rain-fed, Dry Season, Production Function, Food Basket, Significant, Factors

References

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Obianefo Chukwujekwu Aloysius, Anarah Emeka Samuel, Osuafor Ogonna Olive, Anumudu Oluchi Odinaka. (2020). Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agriculture, Forestry and Fisheries, 9(2), 33-38. https://doi.org/10.11648/j.aff.20200902.13

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Obianefo Chukwujekwu Aloysius; Anarah Emeka Samuel; Osuafor Ogonna Olive; Anumudu Oluchi Odinaka. Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agric. For. Fish. 2020, 9(2), 33-38. doi: 10.11648/j.aff.20200902.13

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AMA Style

Obianefo Chukwujekwu Aloysius, Anarah Emeka Samuel, Osuafor Ogonna Olive, Anumudu Oluchi Odinaka. Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agric For Fish. 2020;9(2):33-38. doi: 10.11648/j.aff.20200902.13

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@article{10.11648/j.aff.20200902.13,
  author = {Obianefo Chukwujekwu Aloysius and Anarah Emeka Samuel and Osuafor Ogonna Olive and Anumudu Oluchi Odinaka},
  title = {Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {9},
  number = {2},
  pages = {33-38},
  doi = {10.11648/j.aff.20200902.13},
  url = {https://doi.org/10.11648/j.aff.20200902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20200902.13},
  abstract = {The study on the determinant of rain-fed and dry season rice farming in Ayamelum Local Government Area of Anambra State, Nigeria estimated the production function of rice farmers at rain-fed, as well as at dry season. The study equally looked at the challenges confronting rice farmers in the study area at both season. A well-structured questionnaire as well as face to face interview were the research instruments used to elicit information from randomly selected 100 (70 rain-fed and 30 dry seasons) rice farmers for the study. A combination of analytical tools were utilized, multiple regression and principal factor analysis were the research models used to operationalize the study concept. The regression result with the highest significant variables as well as the highest coefficient of multiple determinant (R2) were chosen as the lead equation, while each challenges confronting rice farmers at both season in the study area were named according to the factors with the highest loading. The study found out that the R2 for both rain-fed and dry season rice farming was 0.8951 and 0.7999 respectively. These confirms that the error beyond the control of the farmers at rain-fed was 10.5% and 20.0% at dry season. The study equally revealed that the determinants of rain-fed rice farming were fertilizer (β = 0.484 and t = 5.11**), urea (β = 0.661 and t = 4.43**), agro-chemical (β = 27.488 and t = 4.65**) and labour (β = 28.008 and t = 4.42**). While labour supply (β = 39.425 and t = 16.09**) and farm size (β = 250.344 and t = 4.19**) were the determinants of dry season rice farming in the study area. Environmental factor accounted for 21.42% and 21.79% of the variance of factors challenging rice farming at rain-fed and dry season respectively. Institutional factor accounted for 15.34% and 17.90% of the variance of factors challenging rice farming at rain-fed and dry season respectively, and Economic accounted for 13.51% and 14.37% of the variance of factors challenging rice farming at rain-fed and dry season respectively. The three factors explained 50.28% and 54.06% of the variance of the factors challenging rice farming at both season in Ayamelum Local Government Area.},
 year = {2020}
}

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TY  - JOUR
T1  - Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria
AU  - Obianefo Chukwujekwu Aloysius
AU  - Anarah Emeka Samuel
AU  - Osuafor Ogonna Olive
AU  - Anumudu Oluchi Odinaka
Y1  - 2020/05/19
PY  - 2020
N1  - https://doi.org/10.11648/j.aff.20200902.13
DO  - 10.11648/j.aff.20200902.13
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 33
EP  - 38
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20200902.13
AB  - The study on the determinant of rain-fed and dry season rice farming in Ayamelum Local Government Area of Anambra State, Nigeria estimated the production function of rice farmers at rain-fed, as well as at dry season. The study equally looked at the challenges confronting rice farmers in the study area at both season. A well-structured questionnaire as well as face to face interview were the research instruments used to elicit information from randomly selected 100 (70 rain-fed and 30 dry seasons) rice farmers for the study. A combination of analytical tools were utilized, multiple regression and principal factor analysis were the research models used to operationalize the study concept. The regression result with the highest significant variables as well as the highest coefficient of multiple determinant (R2) were chosen as the lead equation, while each challenges confronting rice farmers at both season in the study area were named according to the factors with the highest loading. The study found out that the R2 for both rain-fed and dry season rice farming was 0.8951 and 0.7999 respectively. These confirms that the error beyond the control of the farmers at rain-fed was 10.5% and 20.0% at dry season. The study equally revealed that the determinants of rain-fed rice farming were fertilizer (β = 0.484 and t = 5.11**), urea (β = 0.661 and t = 4.43**), agro-chemical (β = 27.488 and t = 4.65**) and labour (β = 28.008 and t = 4.42**). While labour supply (β = 39.425 and t = 16.09**) and farm size (β = 250.344 and t = 4.19**) were the determinants of dry season rice farming in the study area. Environmental factor accounted for 21.42% and 21.79% of the variance of factors challenging rice farming at rain-fed and dry season respectively. Institutional factor accounted for 15.34% and 17.90% of the variance of factors challenging rice farming at rain-fed and dry season respectively, and Economic accounted for 13.51% and 14.37% of the variance of factors challenging rice farming at rain-fed and dry season respectively. The three factors explained 50.28% and 54.06% of the variance of the factors challenging rice farming at both season in Ayamelum Local Government Area.
VL  - 9
IS  - 2
ER  -

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Author Information

Obianefo Chukwujekwu Aloysius

Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka, Nigeria
Anarah Emeka Samuel

Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka, Nigeria
Osuafor Ogonna Olive

Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka, Nigeria
Anumudu Oluchi Odinaka

Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka, Nigeria

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APA Style

Obianefo Chukwujekwu Aloysius, Anarah Emeka Samuel, Osuafor Ogonna Olive, Anumudu Oluchi Odinaka. (2020). Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agriculture, Forestry and Fisheries, 9(2), 33-38. https://doi.org/10.11648/j.aff.20200902.13

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ACS Style

Obianefo Chukwujekwu Aloysius; Anarah Emeka Samuel; Osuafor Ogonna Olive; Anumudu Oluchi Odinaka. Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agric. For. Fish. 2020, 9(2), 33-38. doi: 10.11648/j.aff.20200902.13

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AMA Style

Obianefo Chukwujekwu Aloysius, Anarah Emeka Samuel, Osuafor Ogonna Olive, Anumudu Oluchi Odinaka. Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria. Agric For Fish. 2020;9(2):33-38. doi: 10.11648/j.aff.20200902.13

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@article{10.11648/j.aff.20200902.13,
  author = {Obianefo Chukwujekwu Aloysius and Anarah Emeka Samuel and Osuafor Ogonna Olive and Anumudu Oluchi Odinaka},
  title = {Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {9},
  number = {2},
  pages = {33-38},
  doi = {10.11648/j.aff.20200902.13},
  url = {https://doi.org/10.11648/j.aff.20200902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20200902.13},
  abstract = {The study on the determinant of rain-fed and dry season rice farming in Ayamelum Local Government Area of Anambra State, Nigeria estimated the production function of rice farmers at rain-fed, as well as at dry season. The study equally looked at the challenges confronting rice farmers in the study area at both season. A well-structured questionnaire as well as face to face interview were the research instruments used to elicit information from randomly selected 100 (70 rain-fed and 30 dry seasons) rice farmers for the study. A combination of analytical tools were utilized, multiple regression and principal factor analysis were the research models used to operationalize the study concept. The regression result with the highest significant variables as well as the highest coefficient of multiple determinant (R2) were chosen as the lead equation, while each challenges confronting rice farmers at both season in the study area were named according to the factors with the highest loading. The study found out that the R2 for both rain-fed and dry season rice farming was 0.8951 and 0.7999 respectively. These confirms that the error beyond the control of the farmers at rain-fed was 10.5% and 20.0% at dry season. The study equally revealed that the determinants of rain-fed rice farming were fertilizer (β = 0.484 and t = 5.11**), urea (β = 0.661 and t = 4.43**), agro-chemical (β = 27.488 and t = 4.65**) and labour (β = 28.008 and t = 4.42**). While labour supply (β = 39.425 and t = 16.09**) and farm size (β = 250.344 and t = 4.19**) were the determinants of dry season rice farming in the study area. Environmental factor accounted for 21.42% and 21.79% of the variance of factors challenging rice farming at rain-fed and dry season respectively. Institutional factor accounted for 15.34% and 17.90% of the variance of factors challenging rice farming at rain-fed and dry season respectively, and Economic accounted for 13.51% and 14.37% of the variance of factors challenging rice farming at rain-fed and dry season respectively. The three factors explained 50.28% and 54.06% of the variance of the factors challenging rice farming at both season in Ayamelum Local Government Area.},
 year = {2020}
}

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TY  - JOUR
T1  - Determinant of Rainfed and Dry Seasons Rice Farming in Ayamelum Local Government Area of Anambra State, Nigeria
AU  - Obianefo Chukwujekwu Aloysius
AU  - Anarah Emeka Samuel
AU  - Osuafor Ogonna Olive
AU  - Anumudu Oluchi Odinaka
Y1  - 2020/05/19
PY  - 2020
N1  - https://doi.org/10.11648/j.aff.20200902.13
DO  - 10.11648/j.aff.20200902.13
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 33
EP  - 38
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20200902.13
AB  - The study on the determinant of rain-fed and dry season rice farming in Ayamelum Local Government Area of Anambra State, Nigeria estimated the production function of rice farmers at rain-fed, as well as at dry season. The study equally looked at the challenges confronting rice farmers in the study area at both season. A well-structured questionnaire as well as face to face interview were the research instruments used to elicit information from randomly selected 100 (70 rain-fed and 30 dry seasons) rice farmers for the study. A combination of analytical tools were utilized, multiple regression and principal factor analysis were the research models used to operationalize the study concept. The regression result with the highest significant variables as well as the highest coefficient of multiple determinant (R2) were chosen as the lead equation, while each challenges confronting rice farmers at both season in the study area were named according to the factors with the highest loading. The study found out that the R2 for both rain-fed and dry season rice farming was 0.8951 and 0.7999 respectively. These confirms that the error beyond the control of the farmers at rain-fed was 10.5% and 20.0% at dry season. The study equally revealed that the determinants of rain-fed rice farming were fertilizer (β = 0.484 and t = 5.11**), urea (β = 0.661 and t = 4.43**), agro-chemical (β = 27.488 and t = 4.65**) and labour (β = 28.008 and t = 4.42**). While labour supply (β = 39.425 and t = 16.09**) and farm size (β = 250.344 and t = 4.19**) were the determinants of dry season rice farming in the study area. Environmental factor accounted for 21.42% and 21.79% of the variance of factors challenging rice farming at rain-fed and dry season respectively. Institutional factor accounted for 15.34% and 17.90% of the variance of factors challenging rice farming at rain-fed and dry season respectively, and Economic accounted for 13.51% and 14.37% of the variance of factors challenging rice farming at rain-fed and dry season respectively. The three factors explained 50.28% and 54.06% of the variance of the factors challenging rice farming at both season in Ayamelum Local Government Area.
VL  - 9
IS  - 2
ER  -

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