In the past two decades watermelon production has been a major source of livelihood sustainability in the rural farming system especially among the younger farmers. In recent time however, climate change has threatened and undermined this potential. This study was therefore carried out to assess rural farmers’ coping strategies to effects of climate change on watermelon production in Igboora, Oyo State, Nigeria. Multi stage sampling technique was used to select 150 watermelon farmers as sample size for this study. Descriptive statistics and chi-square analysis were used to analyse the data. The findings showed that there was significant relationship between respondent’s personal characteristics and coping strategies adopted by the watermelon farmers at p < 0.05 level. Also, there was significant relationship between sources of information and coping strategies adopted by the watermelon farmers at p < 0.05 level. It is hereby recommends that effort should be put in place by the government and Seed Council of Nigeria (SCN) to come up with improved, and high drought and disease resistant watermelon seeds to increase productivity and reduce cost of seeds importation in the study area.
Keywords: Rural, farmers, Watermelon, Production, Coping, strategies, Climate, change, Effect, Igboora, Livelihood, Nigeria.
Received: 5 December 2017 / Revised: 28 June 2018 / Accepted: 3 July 2018 / Published: 6 July 2018
The paper's primary contribution is finding that watermelon farmers combined both scientific and indigenous farming strategies to cope with adverse effects of climate change.
Watermelon (Citrullus lanatus) is grown commercially in areas with long frost free warm periods (Prohens and Nuez, 2008). China, Turkey, Iran, Brazil, United States, Egypt and Russian Federation are the major watermelon producers (Food and Agriculture Organization (FAO), 2010). Two decades ago watermelon was introduced into rural farming system in Nigeria, and it grows well both in the humid and drier savanna agro-ecologies. The crop is cultivated twice a year with high productivity and income that encourages many farmers to go into its production. Unlike in advanced countries where watermelon is utilized for the production of juices, nectars and fruit cocktails (Wani et al., 2008) it is eaten as raw fruit in both rural and urban centres in Nigeria. From the East to the Central and far North in Ibarapa Areas of Oyo State, Nigeria the youth are predominant in watermelon production because of its quick returns on investment. Thus, it contributes immensely to the livelihood sustainability of both young and older farmers. In recent time however, there has been continuous decline in watermelon output and in worst situation total crop failure is recorded which constituted great economic losses to the farmers due to the detrimental effect of the climate change. This has greatly affected many rural households that depend on watermelon production for living. It affects rural economic and social systems as youths are leaving farms to cities to do commercial motorcycling (okada) and other petty jobs therefore leaving behind women and old people in the farms. The climate change is threatening biodiversity and human well-being (Williams et al., 2008; Cardinale, 2012). In Nigeria, continuous decline in crop yield and food crop production due to reduction in rainfall and relative humidity and increase in temperature has been observed (Agboola and Ojeleye, 2007). Like other developing countries, the challenge of climate change and global warming is enormous in Nigeria as a result of communication gap between the research centres, extension and farmers in one part and poor funding of research by the government on the other part. Recognizing that Nigeria is confronted by major environmental problems and every climate study indicate that Nigeria is one of the countries that are vulnerable to climate change (Obioha, 2008) make this study becomes necessary. According to the Intergovernmental Panel on Climate Change (2007) yield from rain fed agriculture could be reduced up to 50% by the year 2020 in some African countries. It estimates that Africa will be the most vulnerable to climate change globally, due to the multiple stresses of poor infrastructure, poverty and governance. Temperatures are likely to increase by between 1.5-4ºc in this century. The resultant of temperature and precipitation variations in Africa would be high crop pests and diseases and soil degradation. Challinor et al. (2014) reported that even at low (+2ºC) level of warming, agricultural productivity is likely to decline across the globe, but particularly across tropical areas. Projections on yield reduction show a drop of up to 50% and crop revenue is forecast to fall by as much as 90% by 2100 (FAO, 2009). Declining incomes and rising unemployment are expected to hit agriculture zones in combination to worsening health. A fall in nutrient access is likely to raise susceptibility to diseases such as malaria and HIV/AIDS (FAO, 2009). The ever rising problem of climate change is becoming more threatening to sustainable economic development and the totality of human existence (Adejumo, 2004) especially in the rural settings. While watermelon farmers are generally experiencing climate change and consequently they are counting their losses, many farmers however have developed coping mechanism to minimize the effect of climate change and thrive in watermelon production. Awareness, enlightenment and training on the impact of climate change and necessary coping strategies to be used are generally lacking at the grassroots. Also, there is little empirical study to fill this gap and help thousands of watermelon farmers survive the insurmountable problems of climate change in the rural areas. In Nigeria, the focus of researches on climate change and coping strategies has been on cash and arable crops with less attention on horticultural crops like melon, cucumber and watermelon. This study therefore found it important to look into rural farmers coping strategies to effect of climate change on watermelon production in Oyo State, Nigeria as this will not only checkmate the production losses but it will also have multiplier effect on the availability, market supply and consumption of nutritious watermelon.
The Specific Objectives of the Study are to:
Hypotheses of the Study are stated in Null Forms As:
H01: There is no significant association between respondent’s personal characteristics and coping strategies adopted
H02: There is no significant relationship between sources of information and coping strategies adopted
The study was conducted in Oyo State, Nigeria. Population of the study was all watermelon farmers in Oyo State. A multi stage sampling technique was used in selecting respondents for this study. Igboora was purposively selected based on the a priori information that in recent time large proportion of rural household in the communities cultivated watermelon. Igboora has good vegetation for horticultural crops because prior to the introduction of watermelon almost all the inhabitants were cultivating melon. The second stage was random selection of two blocks out of three blocks in Igboora. In the third stage, five villages were randomly selected from the selected blocks making ten villages (Abukele, Apaara, Oloori, Lanyonu, Obatade, Tobalogbo, Fedegbo, Jaagun, Ayelogun, and Alaagba). Fifteen (15) watermelon farmers were randomly selected from each of the selected villages through their register list and it gave a total of 150 respondents as sample size for this study.
2.1. Validity and Reliability Test
Data were collected with interview guide and observations. The instrument used for the data collection was subjected to face validity by consulting experts in the field of Agricultural Extension and Rural Development. Items found ambiguous were removed. Test re-test was carried out with thirty (30) watermelon farmers in Eruwa community at an interval of two weeks to ascertain the reliability of the instrument. A reliability coefficient of 0.91 was obtained which is above the reliability coefficient of 0.75 indicating high internal consistency of the instrument used for this study. Hence, the instrument used for this study was reliable.
2.2. Measurement of Variables
Age, farm size, household size and farming experience were measured at ratio level while sex and educational level were measured at nominal level. Effects of climate change on watermelon production were measured using a 3-point rating scale of High effect (3), Moderate effect (2), Low effect. Coping strategies used by the respondents were also measured as Always used (3), Seldom used (2), Not used (1) and ranked in order of priority.
2.3. Method of Data Analysis
Descriptive statistics such as frequency counts, percentage, and mean was used to analyze the objectives while chi-square analysis was used to test the proposed hypotheses.
3.1. Socio-economic Characteristics of Respondents
The result reveals that majority (77.3%) of the respondents were between 31 – 40 years old while few (9.3%) were above 41 years of age. The mean age of the respondents was 35.1 years. This reveals the presence of young and middle aged individuals who are known to be active and innovative. The respondents are within the economically active part of the population. Majority of the respondents (96%) were males while only 4% were females. This is an indication that men have predominance in watermelon production in the study area. This is not unconnected with the fact that men are more involved in cultivation and harvesting activities while women carry out post-harvesting activities and marketing of farm produce. This finding concurs with that of Oyediran et al. (2016) that men are usually engaged in land tilling and crop cultivation while women are known for post-production and marketing activities. Many of the respondents (46.7%) had secondary school education while 38.6% attended primary school. Only 6.7% did not have formal education. This shows that the farmers had some level of formal education in the study area which may in turn affect the rate of adoption of modern farming practices in watermelon production. The result also indicates that 61.3% of the respondents had grown watermelon for 6 – 10 years while14.70% had been in watermelon cultivation for more than 11 years before shifting to watermelon farming. The mean year of farming experiences was 7.53 years. This further shows that watermelon production and other horticultural crops are not new to the farmers in the study area. Majority of the respondents (80%) cultivated more than 3 ha of land while 20% cultivated 1 – 2 ha. The average farm size was 3.10 ha. This shows that most of the respondents are peasant farmers.
Table-1. Distribution of respondents based on their socio-economic characteristics (n=150)
Variables |
Frequency |
Percentage (%) |
Mean |
Age (years) |
|||
≥30 |
20 |
13.3 |
35.1 |
31- |
116 |
77.3 |
|
0 |
|||
41 and ab |
14 |
9.3 |
|
ve |
|||
Sex |
|||
Male |
144 |
96 |
|
Female |
6 |
4 |
|
Educational status |
|||
No formal edu |
10 |
6.7 |
|
ation |
|||
Primary education |
58 |
38.6 |
|
Secondary education |
70 |
46.7 |
|
Tertiary education |
1 |
8 |
|
Farming experience |
|||
years) |
|||
≥ 5 |
36 |
24 |
7.53 |
6 – 10 |
92 |
61 |
|
11 and above |
22 |
14.7 |
|
Farm size (ha) |
|||
2-Jan |
30 |
20 |
3.1 |
3 and above |
120 |
80 |
Source: Field survey, 2016
3.2. Effects of Climate Change on Watermelon Production
Table 2 results showed that majority (87.4%) of the respondents’ experienced low sales and reduced income which resulted from the small size of pods and low yield (84.7%). These results support the findings of Oyekale (2009) that watermelon is highly sensitive to changes in climate from hours of sunshine to rainfall and application of water, soil condition and particularly to temperature due to effects on evapo-transpiration. The climate change has also led to reduction in pods formation on the field (70.0%) and large proportion of damaged pods. Similarly, high incidence of pest and diseases (62.3%) was reported by the respondents.Table-2. Effects of climate change on watermelon production (n=150)
Effect of climate change |
High effect |
Moderate effect |
Low effect |
Mean |
Rank |
Increase in pest and disease infestation |
94 (62.6) |
41 (27.3) |
15 (10.0) |
2.51 |
5th |
High occurrence of damaged pods |
98 (65.3) |
32 (21.3) |
20 (13.4) |
2.52 |
4th |
Decrease in watermelon pods formation |
105 (70.0) |
24 (16.0) |
21 (14.0) |
2.56 |
3rd |
Reduced pods size and low yield |
127 (84.7) |
16 (10.7) |
07 (4.6) |
2.8 |
2nd |
Complete drying off before fruiting |
95 (63.3) |
30 (20.0) |
25 (16.7) |
2.47 |
6th |
Reduced sales and income |
131 (87.4) |
14 (9.3) |
05 (3.3) |
2.84 |
1st |
Source: Field survey, 2016
Figures in parenthesis are percentages
3.3. Coping Strategies Adopted
Watermelon farmers use different coping strategies to overcome effect of climate change. Dry season has been the preferred period of planting watermelon by the farmers due to experience of excessive rainfall that support rapid spread of pest and diseases, disrupt vines formation and wash away the flowers during raining season. Farmers have adjusted planting time to dry season around 1 – 10, September of planting season ( = 2.79). However, dry season also has its challenge of limited rainfall and even prolonged drought. This is evidenced in the late arrival of rain, the drying-up of stream and Small Rivers that usually flows year round, the seasonal shifting of the “Mango rains” and of the fruiting period (Adebayo, 2012). Many watermelon farmers expanded planting space from 90cm x 90cm apart to 1m x 1m to allow rapid vines development ( = 2.48). The farmers has also adopted the use of foreign seeds which come in a sealed tin (100mg and 500mg) as against the use of local seeds ( = 2.33). Inorganic fertilizer (urea) is applied at exactly 2weeks or 16 days after planting to speed up the growth and development of the crop against vagary of weather and poor soil fertility ( = 2.59); the fertilizer used has increased from 2bags to 3 bags/ha. Folia fertilizer is mixed with fungicide and insecticide and sprayed consistently at 8 days interval for 5 - 6 weeks ( = 2.41). The spraying is seized at the emergence of pods formation which is about 8 – 9 weeks after planting. Folia fertilizer is applied to boost the pods formation while fungicide and insecticide are used to prevent pest and diseases interference on the watermelon farms. Supplementary irrigation (using knapsack for surface wetting and drip method for underground wetting) is usually carried out to overcome prolonged drought ( = 2.54). Increase in the use of herbicides for weed control ( = 2.68). Many watermelon farmers however sought spiritual interventions like prayers or use of god of thunder (elegun sango) on the watermelon farms for rain ( = 1.43).
Table-3. Distribution according to coping strategies (n = 150)
Coping strategies adopted |
Always used |
Seldom used |
Not used |
Mean |
Adjustment in planting time to dry season (September, 1 - 10) |
128(85.3) |
12(8.0) |
10(6.7) |
2.79 |
Expanding of planting space from 90cm x 90cm apart to 1m x 1m to allow rapid vines development |
96(70.7) |
30(20.0) |
24(9.3) |
2.48 |
Importation of improved seeds from Togo and other neighbouring countries as against use of certified seeds in the country (500mg tin) |
75(50.0) |
50(33.3) |
25(16.7) |
2.33 |
Increase in spot application of urea fertilizer (2 - 3bags/ha) second week after planting |
106(44.0) |
26(30.7) |
18(25.3) |
2.59 |
Increased use of folial fertilizer in combination with insecticide and fungicide at every 8 days interval to suppress pest and diseases infestation (5 - 6 times before harvest) |
92(40.0) |
38(33.3) |
10(26.7) |
2.41 |
Supplementary irrigation (using knapsack for surface wetting and drip method for underground wetting) to overcome prolonged drought |
96(64.0) |
40(26.7) |
14(9.3) |
2.54 |
Use of mulching to retain soil moisture content |
12(8.0) |
34(22.7) |
104(69.3) |
1.39 |
Increase in the use of herbicides for weed control |
114(76.0) |
24(16.0) |
12(8.0) |
2.68 |
Spiritual interventions like prayers or use of god of thunder (elegun sango) on the farms for rain |
13(8.7) |
39(26.0) |
98(65.3) |
1.43 |
Source: Field survey, 2016
3.4. Sources of Information on Coping Strategies
Information is one of the most valuable resources for the agricultural growth and development in the rural areas of Nigeria, and in recent time it has been described as fifth factor of production. The result showed that the most (90%) of the watermelon farmers accessed information through fellow farmers ( = 2.90), Watermelon Farmers Association ( = 2.83) and friends and neighbours ( = 2.20) and these were accordingly ranked 1st, 2nd and 3rd respectively. This implies that information on coping strategies to climate change are obtained through interaction by the watermelon farmers and sharing of what individual experienced on the farms. This serves as first hand information to the farmers which led to acceptance of such measures against adverse climatic condition. Abiona, (2010) cited in Omoare et al. (2016) reported that sources through which information reached the farmers have influence in the decision to accept or reject an innovation. But media ( = 1.68) and extension agents ( = 1.35) were the least channels through which information relating to climate change, coping strategies and improved practices on watermelon production are diffused to the farmers.
Table-2. Sources of Information on coping strategies (n = 150)
Sources of information on coping strategies |
Always |
Occasionally |
Never |
Mean |
Rank |
Extension agents |
10(6.7) |
32(21.3) |
108(72.0) |
1.35 |
5th |
Media (Radio, Television and Newspapers) |
29(19.3) |
44(29.3) |
77(51.4) |
1.68 |
4th |
Watermelon Farmers Association |
124(82.7) |
18(12.0) |
08(5.3) |
2.83 |
2nd |
Fellow farmers |
135(90.0) |
15(10.0) |
0(0.0) |
2.9 |
1st |
Friends and Neighbours |
63(42.0) |
54(36.0) |
33(22.0) |
2.2 |
3rd |
Source: Field survey, 2016
3.5. Test of Hypotheses
3.5.1. Association between Respondent’s Personal Characteristics and Coping Strategies Adopted
The results of chi-square analysis shows that age (χ2 = 41.11, df = 4, p = 0.03), sex (χ2 = 18.32, df = 2, p = 0.00), educational status (χ2 = 25.15, df = 6, p = 0.04), farming experience (χ2 = 39.05, df = 4, p = 0.04) and farm size (χ2 = 43.27, df = 2, p = 0.01) were significant to coping strategies adopted by the watermelon farmers at p < 0.05 level of significance. This implies that significant association existed between personal characteristics and coping strategies. It means personal characteristics variables such as age, sex, educational status, farming experience and farm size have influence on coping strategies adopted by watermelon farmers. Therefore, the null hypothesis that “there is no significant association between respondent’s personal characteristics and coping strategies adopted” is rejected.
Table-4. Association between respondent’s personal characteristics and coping strategies adopted
Variables |
χ2 |
df |
p-value |
Decision |
Age |
41.11 |
4 |
0.03 |
S |
Sex |
18.32 |
2 |
0 |
S |
Educational s |
25.15 |
0 |
S |
|
atus |
4 |
|||
Farming Experience (yrs.) |
39.05 |
4 |
0 |
S |
Fa |
43.27 |
2 |
0.01 |
S |
m size |
Source: Field Survey, 2016. Significant at p < 0.05 level of significance
3.6. Relationship between Sources of Information and Coping Strategies Adopted
The result of chi-square analysis indicates that significant relationship existed between sources of information and coping strategies adopted at p < 0.05 level of significance. That is, sources of information such as Watermelon Farmers Association (χ2 = 189.0, df = 4, p = 0.00), fellow farmers (χ2 = 125.4, df = 4, p = 0.02) and friends and neighbours (χ2 = 211.2, df = 4, p = 0.00) had positive and significant to coping strategies adopted by the watermelon farmers at p < 0.05 level of significance. It means that respondents’ access to information through these channels has helped in checkmating the adverse effect of climate change in the watermelon production in the study area. But, extension agents (χ2 = 14.3, df = 4, p = 0.06) and media (χ2 = 11.1, df = 4, p = 0.09) were not significant. This implies that extension agents and media are not effective in disseminating information relating to watermelon and effect of climate change to farmers in the study area. Therefore, the null hypothesis that “there is no significant relationship between sources of information and coping strategies adopted” is rejected.
Table-5. Relationship between sources of information and coping strategies adopted
Variables |
χ2 |
df |
p-value |
Decision |
Extension agents |
14.3 |
4 |
0.06 |
NS |
Media (Radio, Television and Newspapers) |
11.1 |
4 |
0.09 |
NS |
Watermelon Farmers Association |
189 |
4 |
0 |
S |
Fellow farmers |
125.4 |
4 |
0.02 |
S |
Friends and Neighbours |
211.2 |
4 |
0 |
S |
Source: Field Survey, 2016. df – degree of freedom; S - Significant at p < 0.05 level of significance; NS - Not Significant at p > 0.05 level of significance
This study concludes that climate change did not only led to pest and diseases infestation of the farms, deformed pods, crop failure but also affected the yield and income of the watermelon farmers in the study area. The farmers in a bid to ameliorate adverse effects of climate change adopted coping strategies like changing of planting date, increasing urea and folia fertilizer application, supplementary irrigation and frequent spraying with agro-chemicals. The predominant sources of information on coping strategies are watermelon farmers association, fellow farmers, and friends and neighbours. Moreover, significant relationships existed between personal characteristics of the respondents and coping strategies adopted by the watermelon farmers. In the same vein, sources of information and coping strategies adopted to minimize effect of climate change had significant relationship.
Based on the findings of this study it is hereby recommends that:
Funding: This study received no specific financial support. |
Competing Interests: The authors declare that they have no competing interests. |
Contributors/Acknowledgement: All authors contributed equally to the conception and design of the study. |
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