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Introduction
Yams (Dioscorea species) constitute the predominant starchy
staple in sub-Saharan Africa where food security for a growing
population is a critical issue. Yam cultivation has excessively
expanded over time in Niger State. In 1978, the estimated yam
production of the state was 230,107 tonnes [1], and it grew by
1.936% to 4,685,810 tonnes in 2007 [2]. Annual agricultural
production is subjected to large variations due to risk and
uncertain factors completely beyond the farmer’s control. This
is the reason why the management of farm enterprise is much
more complex than the management of industries. These factors
complicate management decisions in agricultural production and
affect farmer’s decision in production and marketing [3].
Climate is described as change as long-term in the statistical
distribution of weather pattern over a period of time that ranges
from decade to millions of years [4]. Change in climate and
consequent global warming are posing threats to food security
in many developing nations including Nigeria because of the
climate-dependent nature of agricultural systems and lack of
coping capabilities. It is one of the most serious environmental
threats facing mankind worldwide. It affects agriculture in several
ways, including its direct impact on food production. Climate
change, which is attributable to the natural climate cycle and
human activities, has adversely affected agricultural productivity
in Africa [5].
The rainfall characteristics in Nigeria have been examined
for secular change that is, dominant trend notably by Olaniran
et al. [6] and by Olaniran [7] and the results show that there
has been a progressive early retreat of rainfall over the whole
country spanning up to a half a century now and consistent
with this pattern there has also been a significant decline of
rainfall frequency that is, the number of rain days in September
and October which respectively coincide with the end of the
rainy season in the northern and southern parts of the country.
Furthermore, the combined effect of these declines was found to
lead to a significant decrease in annual rain days over the whole
country. In effect, except farmers change to early maturing crop
varieties, streamline their farming calendars with the changing
rainfall regime or have access to irrigation water, the secular
changes in rainfall frequency for the country pose serious threat
to the maturity of annual crops and consequently to food security
for the nation. Hence, the volatility of agricultural output due to
rainfall fluctuation can mean a large burden for the low-income
farming households [8].
The Northern zone faces the threat of desert encroachment at
a very fast rate per year occasioned by fast reduction in the amount
of surface water, flora and fauna resources on land [9]. This makes
people to exploit more previously undisturbed lands leading to
depletion of the forest cover and increase on sand dunes/Aeolian
Mohammed J Mamman*
Department of Agricultural Technology, College of agriculture Mokwa, Nigeria
*Corresponding author: Mohammed J Mamman, Department of Agricultural Technology, College of Agriculture Mokwa, Nigeria
Submission: December 04, 2017; Published: February 26, 2018
Effect of Rainfall Trend on Yam Yield in Mokwa
Local Government Area of Niger State, Nigeria
Research Article
Environmental
Analysis & Ecology StudiesC CRIMSON PUBLISHERS
Wings to the Research
1/6Copyright © All rights are reserved by Mohammed J Mamman.
Volume 1 - Issue - 3
Abstract
Agricultural production in Niger State like other states in Nigeria is highly vulnerable to climate changeability. Climate change is predicted to
have adverse effects on the agricultural sector of the poorer parts of the world especially sub-Saharan Africa. The aim of the study is to investigate and
analyse the effect of rainfall trend on the production of yam in Mokwa local government area of Niger state, Nigeria. For the purpose of this research,
data were collected from 100 respondents through the administration of questionnaires. Rainfall data covering a period of thirteen years (2003-2015)
were also obtained from College of Agriculture Mokwa weather station, while the yearly yam yield for 16 years (2000-2015) was obtained from Niger
State Ministry of Agriculture. Linear regression models and standardized anomaly index were used to analysis the data gathered. The study showed
that the trend of mean annual rainfall in the study area was minimal but significant with R2
value of 0.8 for mean monthly rainfall. A strong relationship
between rainfall variation and yam yield exist with r2
value of 0.881. The variation in the yield among the years was moderately significant with R2
value
of 0.5064. It also showed a positive response between yam yield and moderate rainfall that was well distributed. Extension agent from ministries of
agriculture and ADPs should do more in harnessing relevant information on food production in all the local government areas of Niger state so as to
build a robust data bank for further research.
Keywords: Climate change; Variability; Analysis; Scandalized anomaly index
ISSN 2578-0336
Environ Anal Eco stud Copyright © Mohammed J Mamman
2/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco
stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512
Volume 1 - Issue - 3
deposits in the Northern axis of Nigeria. On the other hand, those
in coastal region are vulnerable to incessant floods, destruction of
mangrove ecosystems, contamination of water and transmission
of water borne diseases, leading to displacement and communal
crisis [10]. The resource poor farmers therefore faced the
prospects of tragic crop failures which reduced agricultural
productivity, increased hunger, poverty, malnutrition and diseases
[11]. International institute for tropical Agriculture (IITA) have
developed various new technologies to produce yams in Africa
during dry season [12]. The ecological constraints of the savanna
zones have been overcome by the spontaneous effort of farmers
to pick out the early maturing cultivars that adapt to short rainfall
period [13]. This study investigates the effect of rainfall trend
pattern in the study area analyse the effect of the rainfall trend
on yam production in the area and advice on possible measures to
take in ameliorating the trend effect [14].
Methodology
Description of the study area location
Mokwa is a Local Government Area in Niger State, Nigeria.
The southern border of the LGA is formed by the Niger River
from Lake Jebba in the west beyond the confluence of the Kaduna
River in the East. Kwara State and Kogi State are across the Niger
from the LGA. It has an area of 4,338km² and a population of
244,937 at the 2006 census. It is located at an elevation of 88
meters above sea level and its population amounts to 244,937.
It has two major districts, Kede and Mokwa with a total of 98
and 45 villages respectively. Out of the 143 villages 108 (78%)
are yam producers. Its coordinates are 9°16’60”N and 5°3’0” E in
DMS (Degrees Minutes Seconds) or 9.28333 and 5.05 (in decimal
degrees) (Figure 1).
Figure 1: Map of the study area. Source: (Wikipedia 2012).
Climate and agro-ecology
Mokwa local Government experiences two distinct seasons,
the dry and wet seasons. The annual rainfall varies from
about 1000mm in the south to 1,200mm. The duration of the
rainy season ranges from 150 to 210 days. Mean maximum
temperature remains high throughout the year, hovering about 32
˚F, particularly in March and June. However, the lowest minimum
temperatures occur usually between December and January when
most parts of the state come under the influence of the tropical
continental air mass which blows from the north. Dry season
commences in October.
Sampling design and sample size
The study employed multistage sampling technique. First
stage involve purposive selection of ten (10) wards that are
rural based, in each of this ward two (2) villages were randomly
selected making a total of 20 villages selected for the study in
the area, second stage involve random selection of five (5) yam
farmers from each of the selected villages in the local government
area which make a total of one hundred (100) respondents that
constituted the sample size of the study.
Statistical and data analysis
Precipitation data were obtained for thirteen years (2003-
2015) from Niger State College of Agriculture Mokwa weather
station. Data collected were subjected to descriptive statistical
analysis. Rainfall data obtained were on monthly basis converted
to mean annual values using the statistical technique stated below.
X Xn∝= (1)
Where =Mean
n= number of years
=∑ Summationsign
Standardized anomaly index and linear regression models
were employed to examine the relationship between rainfall
variability and yam production of the study area. The formula for
Environ Anal Eco stud Copyright © Mohammed J Mamman
3/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco
stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512
Volume 1 - Issue - 3
the standard anomaly index is given as:
/SAI x σ= (2)
Where
X = mean
x= rainfall on yearly basis
σ = standard deviation
The formula for the linear regression is given as:
y a bx= + (3)
Where:
a y bxaα= −
2 2
( )/( ( )b N xy x y N x x=− −∑ ∑ ∑ ∑ ∑
y= Planting tine of the year
x=Rainfall trend
Results and Discussion
Rainfall distribution in Niger state college of agriculture Mokwa station
Figure 2: Mean monthly rainfall of Niger state college of Agriculture Mokwa Station.
Figure 3: Pattern of Mean annual Rainfall of Niger State College of Agriculture Mokwa Station, (2003 – 2015)
Figure 2 shows average Monthly rainfall of Niger State
college of Agriculture Mokwa, the months of January shows no
rainfall while February has the least with a rainfall of 4.5mm
and August has the highest with 306.4mm. The R2
value of 0.8
indicate significant trend within the months of rainfall. Shows
a thirteen years mean annual rainfall of Niger State College of
Agriculture Mokwa, with 2003 having the least (1335mm) total
rainfall and average of 121.3636mm. 2014 has the highest rainfall
of 2514mm and average of 121.7917mm. This is also depicted
in Figure 3. It could be observed that well establishment rain
starts in the month of April and incipient in November. The time
of planting is very critical in development of Yam. Farmers from
the study area based on personal interaction and questionnaires
applied commenced planting in the month of March or April and
harvest in the months of August or September. Incipientor lack of
establishment of rainfall during the Months of March or April has
Environ Anal Eco stud Copyright © Mohammed J Mamman
4/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco
stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512
Volume 1 - Issue - 3
resulted to farmers recording significant Yam loses. Adjustment
in planting date to well established months of rainfall is necessary
to avoid spoilage. Planting can commence in the months of April-
May to June and harvest in the months of November-December
(Figure 4).
Figure 4: Yield of yam (tones) in the study area.
Figure 5: Relationship between yam yield and average annual rainfall of Mokwa.
Figure 6: The relationship between the annual rainfall and yam yield.
Environ Anal Eco stud Copyright © Mohammed J Mamman
5/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco
stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512
Volume 1 - Issue - 3
Figure 5 shows the relationship between yam yield and
average annual rainfall of Mokwa, the relationships indicates that
as the rainfall increases the yam yield also increases. 2014 has the
highest yield (17.24 tonnes) as a result of the highest rainfall in the
year (209.5). While 2009 has the lowest yield (6.63 tonnes) as a
result of the lowest rainfall in the year (115.1mm). Figure 6 shows
the relationship between annual rainfall and yam yield, the figure
indicate strong relationship between the variables with r2 value
of 0.881 which is close to 1. It also shows that rainfall has strong
influence on yam yield in the area.Although inadequacies of farm
inputs like improved seeds, fertilizer, herbicides and the required
management are contributing factors to yam yield as indicated
by the farmers during oral interview, the importance of adequate
rainfall to yam yield cannot be overemphasized as shown from the
study. (Figure 7) depicts variability and relationship between yam
yield and years of production. The r2
value of 0.5064 shows that
there is no strong variation within the years of yam production.
Figure 7: Trend in yam production.
Conclusion and Recommendations
Conclusion
From the findings of this research it could be concluded that
strong relationship exist between annual rainfall and yam yield
with r2 value of 0.881 within the year under review. The study
also concludes that variation of time of rainfall (months) influence
the yield of yam. Thereby necessitating the need for adjustment of
planting time to avoid excessive rotting of Yam seeds as attested
by the farmers. Also inspite of the fact that climate is changing;
rainfall duration and rain days are still relatively favourable for
agricultural activities in the study area. Dynamics of annual total
rain fall as well as extreme events are common at the station.
Recommendations
In view of the fact that, the issue of weather parameters and
precipitation effectiveness indices are becoming a major treat
in agricultural planning and productivity, the study strongly
recommends the following:
a)	 Government at all levels should see that meteorological
equipment are provided to all Local development authorities,
research and training institutions, departments of Geography and
Agricultural Sciences and every other unit in order to facilitates
and enhance the generation of climatic data nation-wide.
b)	 Farmers at all levels with the aid of extension agents
should acquaint themselves with information from meteorological
agencies in order to have an idea of the predicted rainy season
so as to know the likely onset, cessation dates, rainfall, relative
humidity and others as they affect the performance and yield of
crops.
c)	 This preliminary work on rainfall-Yam relationships is
not exhaustive. More could still be achieved in further studies
geared towards the understanding of the interplay of weather
parameters and Yam yield. There are about thirteen precipitation
effectiveness indices; others could be research on such as
Hydrological ratio, Seasonality index, dry spell etc.
References
1.	 Adeniyi EO (1980) Niger State: a survey of resources for development.
Nigerian institute of social and economic research, Ibadan, Nigeria.
2.	 (2007) National Food Reserve Agency (NFRA) statistics on agricultural
production. National food reserve agency, Nigeria federal ministry of
agriculture and water resource, Abuja, Nigeria.
3.	 Hardaker JB, Raud BMH, Jack RA (1997) Coping with risk in agriculture.
In: Hardaker JB, Raud BMH, Jack RA (Eds.), Coping with risk in
agriculture. AB International Oxford, New York, USA, pp. 5-7.
4.	 Adejuwon SA (2004) Impacts of climate variability and climate change
on crop yield in Nigeria. Lead paper presented at the stakeholders
workshop on the assessment of impact and adaptation to climate
change, Conference center, pp. 205-219.
5.	 Ziervogel G, Nyong A, Osman B, Conde C, Cortes S, et al. (2006) Climate
variability and change: implications for household food security.
Assessments of impacts and adaptations to climate change (AIACC).
Washington DC, USA, pp. 678-691.
6.	 Olaniran OJ, Likofu A, Adeyemi AS (2001) Wet dry seasons in Nigeria.
In: Olaniran OJ, Likofu A, Adeyemi AS (Eds.), Wet dry seasons in Nigeria,
Weather (in press).
Environ Anal Eco stud Copyright © Mohammed J Mamman
6/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco
stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512
Volume 1 - Issue - 3
7.	 Olaniran OJ (2000) Crop-climatic modeling for optimum crop yield. In
climate change and natural disasters in Nigeria.
8.	 John BA, Paul M (2007) Implication of rainfall shocks for household
income and consumption in Uganda. African Economic Research
Consortium, Nairobi. AERC Research, p. 168.
9.	 Obioha E (2009) Climate Change, population drift and violent conflict
over land resources in North Eastern Nigeria. J Hum Ecol 23(4): 311-
324.
10.	Odjugo PAO (2010) Adaptation to climate change in the agricultural
sector in the semi-arid region of Nigeria. Paper presented at the 2nd
International conference: climate, sustainability and development in
semi-arid regions, Fortaleza-Ceará, Brazil.
11.	Zoellick S, Robert BA (2009) Climate smart future. In: Zoellick S, Robert
BA (Eds.), Climate smart future. The Nation newspapers. Vintage Press
Limited, Lagos, Nigeria, p. 18.
12.	Shiwachi H, Kikuno H, Fashola R, Asiedu R (2008) Enhancing offseason
yam production in Nigeria. African Journal of Agricultural Research
3(6): 407-411.
13.	Orkwor GC (1998) Yam production in Nigeria. In: Berthaud J, Bricas
N, mardand J (Eds.), Yam, old plant and crop for the future. Actes du
Seminaire Inter. cirad intra-orstom-coraf. Montpellier, France, pp. 81-85.
14.	Shiwachi H, Toyohara H (2005) Current status and future of yam
production. Japanese Journal of Tropical Agriculture 49(5): 323-328.
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Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria: Environmental Sciences

  • 1. Introduction Yams (Dioscorea species) constitute the predominant starchy staple in sub-Saharan Africa where food security for a growing population is a critical issue. Yam cultivation has excessively expanded over time in Niger State. In 1978, the estimated yam production of the state was 230,107 tonnes [1], and it grew by 1.936% to 4,685,810 tonnes in 2007 [2]. Annual agricultural production is subjected to large variations due to risk and uncertain factors completely beyond the farmer’s control. This is the reason why the management of farm enterprise is much more complex than the management of industries. These factors complicate management decisions in agricultural production and affect farmer’s decision in production and marketing [3]. Climate is described as change as long-term in the statistical distribution of weather pattern over a period of time that ranges from decade to millions of years [4]. Change in climate and consequent global warming are posing threats to food security in many developing nations including Nigeria because of the climate-dependent nature of agricultural systems and lack of coping capabilities. It is one of the most serious environmental threats facing mankind worldwide. It affects agriculture in several ways, including its direct impact on food production. Climate change, which is attributable to the natural climate cycle and human activities, has adversely affected agricultural productivity in Africa [5]. The rainfall characteristics in Nigeria have been examined for secular change that is, dominant trend notably by Olaniran et al. [6] and by Olaniran [7] and the results show that there has been a progressive early retreat of rainfall over the whole country spanning up to a half a century now and consistent with this pattern there has also been a significant decline of rainfall frequency that is, the number of rain days in September and October which respectively coincide with the end of the rainy season in the northern and southern parts of the country. Furthermore, the combined effect of these declines was found to lead to a significant decrease in annual rain days over the whole country. In effect, except farmers change to early maturing crop varieties, streamline their farming calendars with the changing rainfall regime or have access to irrigation water, the secular changes in rainfall frequency for the country pose serious threat to the maturity of annual crops and consequently to food security for the nation. Hence, the volatility of agricultural output due to rainfall fluctuation can mean a large burden for the low-income farming households [8]. The Northern zone faces the threat of desert encroachment at a very fast rate per year occasioned by fast reduction in the amount of surface water, flora and fauna resources on land [9]. This makes people to exploit more previously undisturbed lands leading to depletion of the forest cover and increase on sand dunes/Aeolian Mohammed J Mamman* Department of Agricultural Technology, College of agriculture Mokwa, Nigeria *Corresponding author: Mohammed J Mamman, Department of Agricultural Technology, College of Agriculture Mokwa, Nigeria Submission: December 04, 2017; Published: February 26, 2018 Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria Research Article Environmental Analysis & Ecology StudiesC CRIMSON PUBLISHERS Wings to the Research 1/6Copyright © All rights are reserved by Mohammed J Mamman. Volume 1 - Issue - 3 Abstract Agricultural production in Niger State like other states in Nigeria is highly vulnerable to climate changeability. Climate change is predicted to have adverse effects on the agricultural sector of the poorer parts of the world especially sub-Saharan Africa. The aim of the study is to investigate and analyse the effect of rainfall trend on the production of yam in Mokwa local government area of Niger state, Nigeria. For the purpose of this research, data were collected from 100 respondents through the administration of questionnaires. Rainfall data covering a period of thirteen years (2003-2015) were also obtained from College of Agriculture Mokwa weather station, while the yearly yam yield for 16 years (2000-2015) was obtained from Niger State Ministry of Agriculture. Linear regression models and standardized anomaly index were used to analysis the data gathered. The study showed that the trend of mean annual rainfall in the study area was minimal but significant with R2 value of 0.8 for mean monthly rainfall. A strong relationship between rainfall variation and yam yield exist with r2 value of 0.881. The variation in the yield among the years was moderately significant with R2 value of 0.5064. It also showed a positive response between yam yield and moderate rainfall that was well distributed. Extension agent from ministries of agriculture and ADPs should do more in harnessing relevant information on food production in all the local government areas of Niger state so as to build a robust data bank for further research. Keywords: Climate change; Variability; Analysis; Scandalized anomaly index ISSN 2578-0336
  • 2. Environ Anal Eco stud Copyright © Mohammed J Mamman 2/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512 Volume 1 - Issue - 3 deposits in the Northern axis of Nigeria. On the other hand, those in coastal region are vulnerable to incessant floods, destruction of mangrove ecosystems, contamination of water and transmission of water borne diseases, leading to displacement and communal crisis [10]. The resource poor farmers therefore faced the prospects of tragic crop failures which reduced agricultural productivity, increased hunger, poverty, malnutrition and diseases [11]. International institute for tropical Agriculture (IITA) have developed various new technologies to produce yams in Africa during dry season [12]. The ecological constraints of the savanna zones have been overcome by the spontaneous effort of farmers to pick out the early maturing cultivars that adapt to short rainfall period [13]. This study investigates the effect of rainfall trend pattern in the study area analyse the effect of the rainfall trend on yam production in the area and advice on possible measures to take in ameliorating the trend effect [14]. Methodology Description of the study area location Mokwa is a Local Government Area in Niger State, Nigeria. The southern border of the LGA is formed by the Niger River from Lake Jebba in the west beyond the confluence of the Kaduna River in the East. Kwara State and Kogi State are across the Niger from the LGA. It has an area of 4,338km² and a population of 244,937 at the 2006 census. It is located at an elevation of 88 meters above sea level and its population amounts to 244,937. It has two major districts, Kede and Mokwa with a total of 98 and 45 villages respectively. Out of the 143 villages 108 (78%) are yam producers. Its coordinates are 9°16’60”N and 5°3’0” E in DMS (Degrees Minutes Seconds) or 9.28333 and 5.05 (in decimal degrees) (Figure 1). Figure 1: Map of the study area. Source: (Wikipedia 2012). Climate and agro-ecology Mokwa local Government experiences two distinct seasons, the dry and wet seasons. The annual rainfall varies from about 1000mm in the south to 1,200mm. The duration of the rainy season ranges from 150 to 210 days. Mean maximum temperature remains high throughout the year, hovering about 32 ˚F, particularly in March and June. However, the lowest minimum temperatures occur usually between December and January when most parts of the state come under the influence of the tropical continental air mass which blows from the north. Dry season commences in October. Sampling design and sample size The study employed multistage sampling technique. First stage involve purposive selection of ten (10) wards that are rural based, in each of this ward two (2) villages were randomly selected making a total of 20 villages selected for the study in the area, second stage involve random selection of five (5) yam farmers from each of the selected villages in the local government area which make a total of one hundred (100) respondents that constituted the sample size of the study. Statistical and data analysis Precipitation data were obtained for thirteen years (2003- 2015) from Niger State College of Agriculture Mokwa weather station. Data collected were subjected to descriptive statistical analysis. Rainfall data obtained were on monthly basis converted to mean annual values using the statistical technique stated below. X Xn∝= (1) Where =Mean n= number of years =∑ Summationsign Standardized anomaly index and linear regression models were employed to examine the relationship between rainfall variability and yam production of the study area. The formula for
  • 3. Environ Anal Eco stud Copyright © Mohammed J Mamman 3/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512 Volume 1 - Issue - 3 the standard anomaly index is given as: /SAI x σ= (2) Where X = mean x= rainfall on yearly basis σ = standard deviation The formula for the linear regression is given as: y a bx= + (3) Where: a y bxaα= − 2 2 ( )/( ( )b N xy x y N x x=− −∑ ∑ ∑ ∑ ∑ y= Planting tine of the year x=Rainfall trend Results and Discussion Rainfall distribution in Niger state college of agriculture Mokwa station Figure 2: Mean monthly rainfall of Niger state college of Agriculture Mokwa Station. Figure 3: Pattern of Mean annual Rainfall of Niger State College of Agriculture Mokwa Station, (2003 – 2015) Figure 2 shows average Monthly rainfall of Niger State college of Agriculture Mokwa, the months of January shows no rainfall while February has the least with a rainfall of 4.5mm and August has the highest with 306.4mm. The R2 value of 0.8 indicate significant trend within the months of rainfall. Shows a thirteen years mean annual rainfall of Niger State College of Agriculture Mokwa, with 2003 having the least (1335mm) total rainfall and average of 121.3636mm. 2014 has the highest rainfall of 2514mm and average of 121.7917mm. This is also depicted in Figure 3. It could be observed that well establishment rain starts in the month of April and incipient in November. The time of planting is very critical in development of Yam. Farmers from the study area based on personal interaction and questionnaires applied commenced planting in the month of March or April and harvest in the months of August or September. Incipientor lack of establishment of rainfall during the Months of March or April has
  • 4. Environ Anal Eco stud Copyright © Mohammed J Mamman 4/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512 Volume 1 - Issue - 3 resulted to farmers recording significant Yam loses. Adjustment in planting date to well established months of rainfall is necessary to avoid spoilage. Planting can commence in the months of April- May to June and harvest in the months of November-December (Figure 4). Figure 4: Yield of yam (tones) in the study area. Figure 5: Relationship between yam yield and average annual rainfall of Mokwa. Figure 6: The relationship between the annual rainfall and yam yield.
  • 5. Environ Anal Eco stud Copyright © Mohammed J Mamman 5/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512 Volume 1 - Issue - 3 Figure 5 shows the relationship between yam yield and average annual rainfall of Mokwa, the relationships indicates that as the rainfall increases the yam yield also increases. 2014 has the highest yield (17.24 tonnes) as a result of the highest rainfall in the year (209.5). While 2009 has the lowest yield (6.63 tonnes) as a result of the lowest rainfall in the year (115.1mm). Figure 6 shows the relationship between annual rainfall and yam yield, the figure indicate strong relationship between the variables with r2 value of 0.881 which is close to 1. It also shows that rainfall has strong influence on yam yield in the area.Although inadequacies of farm inputs like improved seeds, fertilizer, herbicides and the required management are contributing factors to yam yield as indicated by the farmers during oral interview, the importance of adequate rainfall to yam yield cannot be overemphasized as shown from the study. (Figure 7) depicts variability and relationship between yam yield and years of production. The r2 value of 0.5064 shows that there is no strong variation within the years of yam production. Figure 7: Trend in yam production. Conclusion and Recommendations Conclusion From the findings of this research it could be concluded that strong relationship exist between annual rainfall and yam yield with r2 value of 0.881 within the year under review. The study also concludes that variation of time of rainfall (months) influence the yield of yam. Thereby necessitating the need for adjustment of planting time to avoid excessive rotting of Yam seeds as attested by the farmers. Also inspite of the fact that climate is changing; rainfall duration and rain days are still relatively favourable for agricultural activities in the study area. Dynamics of annual total rain fall as well as extreme events are common at the station. Recommendations In view of the fact that, the issue of weather parameters and precipitation effectiveness indices are becoming a major treat in agricultural planning and productivity, the study strongly recommends the following: a) Government at all levels should see that meteorological equipment are provided to all Local development authorities, research and training institutions, departments of Geography and Agricultural Sciences and every other unit in order to facilitates and enhance the generation of climatic data nation-wide. b) Farmers at all levels with the aid of extension agents should acquaint themselves with information from meteorological agencies in order to have an idea of the predicted rainy season so as to know the likely onset, cessation dates, rainfall, relative humidity and others as they affect the performance and yield of crops. c) This preliminary work on rainfall-Yam relationships is not exhaustive. More could still be achieved in further studies geared towards the understanding of the interplay of weather parameters and Yam yield. There are about thirteen precipitation effectiveness indices; others could be research on such as Hydrological ratio, Seasonality index, dry spell etc. References 1. Adeniyi EO (1980) Niger State: a survey of resources for development. Nigerian institute of social and economic research, Ibadan, Nigeria. 2. (2007) National Food Reserve Agency (NFRA) statistics on agricultural production. National food reserve agency, Nigeria federal ministry of agriculture and water resource, Abuja, Nigeria. 3. Hardaker JB, Raud BMH, Jack RA (1997) Coping with risk in agriculture. In: Hardaker JB, Raud BMH, Jack RA (Eds.), Coping with risk in agriculture. AB International Oxford, New York, USA, pp. 5-7. 4. Adejuwon SA (2004) Impacts of climate variability and climate change on crop yield in Nigeria. Lead paper presented at the stakeholders workshop on the assessment of impact and adaptation to climate change, Conference center, pp. 205-219. 5. Ziervogel G, Nyong A, Osman B, Conde C, Cortes S, et al. (2006) Climate variability and change: implications for household food security. Assessments of impacts and adaptations to climate change (AIACC). Washington DC, USA, pp. 678-691. 6. Olaniran OJ, Likofu A, Adeyemi AS (2001) Wet dry seasons in Nigeria. In: Olaniran OJ, Likofu A, Adeyemi AS (Eds.), Wet dry seasons in Nigeria, Weather (in press).
  • 6. Environ Anal Eco stud Copyright © Mohammed J Mamman 6/6How to cite this article: Mohammed J M. Effect of Rainfall Trend on Yam Yield in Mokwa Local Government Area of Niger State, Nigeria. Environ Anal Eco stud. 1(3). EAES.000512.2018. DOI: 10.31031/EAES.2018.01.000512 Volume 1 - Issue - 3 7. Olaniran OJ (2000) Crop-climatic modeling for optimum crop yield. In climate change and natural disasters in Nigeria. 8. John BA, Paul M (2007) Implication of rainfall shocks for household income and consumption in Uganda. African Economic Research Consortium, Nairobi. AERC Research, p. 168. 9. Obioha E (2009) Climate Change, population drift and violent conflict over land resources in North Eastern Nigeria. J Hum Ecol 23(4): 311- 324. 10. Odjugo PAO (2010) Adaptation to climate change in the agricultural sector in the semi-arid region of Nigeria. Paper presented at the 2nd International conference: climate, sustainability and development in semi-arid regions, Fortaleza-Ceará, Brazil. 11. Zoellick S, Robert BA (2009) Climate smart future. In: Zoellick S, Robert BA (Eds.), Climate smart future. The Nation newspapers. Vintage Press Limited, Lagos, Nigeria, p. 18. 12. Shiwachi H, Kikuno H, Fashola R, Asiedu R (2008) Enhancing offseason yam production in Nigeria. African Journal of Agricultural Research 3(6): 407-411. 13. Orkwor GC (1998) Yam production in Nigeria. In: Berthaud J, Bricas N, mardand J (Eds.), Yam, old plant and crop for the future. Actes du Seminaire Inter. cirad intra-orstom-coraf. Montpellier, France, pp. 81-85. 14. Shiwachi H, Toyohara H (2005) Current status and future of yam production. Japanese Journal of Tropical Agriculture 49(5): 323-328. Your subsequent submission with Crimson Publishers will attain the below benefits • High-level peer review and editorial services • Freely accessible online immediately upon publication • Authors retain the copyright to their work • Licensing it under a Creative Commons license • Visibility through different online platforms • Global attainment for your research • Article availability in different formats (Pdf, E-pub, Full Text) • Endless customer service • Reasonable Membership services • Reprints availability upon request • One step article tracking system For possible submissions Click Here Submit Article Creative Commons Attribution 4.0 International License