Skip to main content

Advertisement

Log in

Empirical analysis of dry spells during growing season with respect to maize crop in Nigeria

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Dry spell analysis during growing season with respect to maize crop is performed in nine stations in Nigeria. The main data used are daily rainfall, temperature, relative humidity, wind speed, and sunshine hours (1971–2013) from the Nigerian Meteorological Agency (NiMet), Lagos. The same data set (excluding rainfall and sunshine hours) from 0.125° ERA INTERIM Reanalysis (1979–2013) and daily 0.25° horizontal resolution 3B42 rainfall from the Tropical Rainfall Measuring Mission (1998–2013) are obtained to serve as useful supplement to NiMet data. The daily reference evapotranspiration (ETo) is computed using the methodology described in the FAO Irrigation and Drainage Publication 56 with the Penman-Monteith equation. Dry spells frequency and average maize crop evapotranspiration (ETc) for the initial, mid-season, and late season stages for 118 day maize crop variety are computed. Critical onset dates, lengths, and trends are determined during the mid-season growth stage. Mann-Kendall tests are performed on the onset dates and lengths to ascertain statistically significant trends. In the 9 stations, more (less) critical dry spells occurrence of lengths 5–10 and 11–15 days during the mid-season and 5–10 days only during initial stages leading to less (more) maize yield are generally associated with El-Nino (La-Nina) years. The percentage frequency of mid-season spell lengths of category 5–10 days ranges from 4 to 31% for the nine stations. The number of days maize farmers in all the stations could expect first and second critical dry spell occurrences after planting ranges from 35 to 82 and 50–86 days respectively. This finding will aid strategic planning of agricultural operations for enhanced crop yield.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abdussalam A, Zaharaddeen I (2017) Temporal variation of reference evapotranspiration in lower river Kaduna catchment area, Nigeria. Arch Curr Res Int 8(1):1–11; article no.ACRI.32984 ISSN: 2454-7077. https://doi.org/10.9734/ACRI/2017/32984

    Article  Google Scholar 

  • Adeyeri OE, Lawin AE, Laux P, Ishola KA, Ige SO (2019) Analysis of climate extreme indices over the Komadugu-Yobe basin, Lake Chad region: past and future occurrences. Weather Clim Extr 23:100194. https://doi.org/10.1016/j.wace.2019.100194

    Article  Google Scholar 

  • Agele SO (2006) Weather and seasonal effects on growth, seed yield and soluble carbohydrate concentrations in selected maize cultivars in the humid areas of Nigeria. Afr J Agric Res 1(4):101–110

    Google Scholar 

  • Allen CD, Breshears DD, McDowell NG (2015) On underestimation of global vulnerability to tree mortality and forest die off from hotter drought in the Anthropocene. Ecosphere 6(8):1–55. https://doi.org/10.1890/ES15-00203.1

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) FAO crop evapotranspiration - guidelines for computing crop water requirements; FAO irrigation and drainage paper 56. Rome, Italy. 300 pp.

  • Anderegg WRL, Klein T, Bartlett M, Sack L, Pellegrini AFA, Choat B, Jansen S (2016) 2016 meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe. Proc Natl Acad Sci USA 113:5024–5029

    Article  Google Scholar 

  • Andrew RH, Schlough DA, Tenpas GH (1976) Some relationships of a plastic mulch to sweet corn maturity. Agron J 68:422–425

    Article  Google Scholar 

  • Anikwe MAN, Mbah CN, Ezeaku PI, Onyia VN (2007) Tillage and plastic mulch effects on soil properties and growth and yield of cocoyam (Colocasia esculenta) on an ultisol in southeastern Nigeria. Soil Tillage Res 93:264–272

    Article  Google Scholar 

  • Bandyopadhyay A, Bhadra A, Raghuwanshi NS, Singh R (2009) Temporal trends in estimates of reference evapotranspiration over India. J Hydrol Eng 14(5):508e515. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000006

    Article  Google Scholar 

  • Benoit P (1977) The start of the growing season in northern Nigeria. Agric Meteorol 18:91–99

    Article  Google Scholar 

  • Clarkson VA (1960) Effect of black polyethylene mulch on soil and microclimate temperature and nitrate level. Agron J 52:307–309

    Article  Google Scholar 

  • Burn DH, Elnur MAH (2002) Detection of hydrologic trends and variability. J Hydrol 255(1):107e122. https://doi.org/10.1016/S0022-1694(01)00514-5

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quart J Roy Meteorol Soc 137(656):553–597

    Article  Google Scholar 

  • Djaman K, O’Neill M, Diop L, Bodian A, Allen S, Koudahe K, Lombard K (2019) 2019 evaluation of the Penman-Monteith and other 34 reference evapotranspiration equations under limited data in a semiarid dry climate. Theor Appl Climatol 137:729–743. https://doi.org/10.1007/s00704-018-2624-0

    Article  Google Scholar 

  • Domonkos P, Coll J (2017) Homogenisation of temperature and precipitation time series with ACMANT3: method description and efficiency tests. Int J Climatol 37:1910–1921

    Article  Google Scholar 

  • Doorenbos J, Pruitt WO (1977) Crop water requirements. Food and Agricultural Organization (FAO) Irrigation and Drainage Paper, No. 24 by Food and Agricultural Organization, Rome, Italy, 144 pp.

  • Douguedroit A (1987) The variations of dry spells in Marseilles from 1865 to 1984. Int J Climatol 7:541–551

    Article  Google Scholar 

  • Doto VC, Yacouba H, Niang D, Lahmar R, Agbossou EK (2015) Mitigation effect of dry spell in Sahelian rainfed agriculture: case study of supplemental irrigation in Burkina Faso. Acad J 10(16):1863–1873. https://doi.org/10.5897/AJAR2015.9639

    Article  Google Scholar 

  • Ejieji CJ (2011) Performance of three empirical reference evapotranspiration models under three sky conditions using two solar radiation estimation methods at Ilorin, Nigeria. Agric Eng Int CIGR J 13(3):1673

    Google Scholar 

  • Engelbrecht BMJ, Dalling JW, Perason TRH, Wolf RL et al (2006) Short dry spells in the wet season increase mortality of tropical pioneer seedlings. Oecologia 148(2):258–269

    Article  Google Scholar 

  • Froidurot S, Diedhiou A (2017) Characteristics of wet and dry spells in the West African monsoon system. Atmos Sci Lett 18(3):125–131

    Article  Google Scholar 

  • Gao C, Li X, Sun Y et al (2019) Water requirement of summer maize at different growth stages and the spatiotemporal characteristics of agricultural drought in the Huaihe River Basin, China. Theor Appl Climatol 136:1289–1302. https://doi.org/10.1007/s00704-018-2558-6

    Article  Google Scholar 

  • Gao G, Chen D, Xu CY, Simelton E (2007) Trend of estimated actual evapotranspiration over China during 1960e2002. J Geophys Res 112(D11). https://doi.org/10.1029/2006JD008010

  • Gilbert RO (1987) Statistical methods for environmental pollution monitoring. Wiley, NY 336pp

    Google Scholar 

  • Golden Gate Weather Services (2020) El Niño and La Niña years and intensities based on Oceanic Niño Index (ONI) [accessed June 30, 2020] (available via internet at http://www.cpc.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.shtml

  • Hamed KH, Rao AR (1998) A modified ManneKendall trend test for autocorrelated data. J Hydrol 204(1e4):182e196. https://doi.org/10.1016/S0022-1694(97)00125-X

    Article  Google Scholar 

  • Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G, Hong Y, Bowman KP, Stocker EF (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London

    Google Scholar 

  • Khatiwada K, Panthi J, Shrestha M, Nepal S (2016) Hydroclimatic variability in the Karnali River Basin of Nepal Himalaya. Climate 4:17

    Article  Google Scholar 

  • Knoema (2020) Yearly maize yield data and statistics, production, supply and distribution of agricultural commodities by market year, Feb 2020, World Data Atlas, World Bank. [accessed June 30, 2020] Available at (https://knoema.com/atlas/Nigeria/topics/Agriculture/Crops-Production-Yield/Maize-yield)

  • Lana X, Martínez MD, Burgueño A, Serra C, Martín-Vide J, Gómez L (2006) Distributions of long dry spells in the iberian peninsula, years 1951–1990. Int J Climatol 26:1999–2021. https://doi.org/10.1002/joc.1354

    Article  Google Scholar 

  • Leroux M (1970) La dynamique des precipitations en Afrique Occidentale, Notes de la Direction de l’Exploitation Meteorologique, No. 39, ASECNA, Dakar, 281pp

  • Li SX, Wang ZH, Li SQ, Gao YJ, Tian XH (2013) Effect of plastic sheet mulch, wheat straw mulch, and maize growth on water loss by evaporation in dry land areas of China. Agric Water Manag 116:39–49

    Article  Google Scholar 

  • Li XY, Gong JD, Gao QZ, Li FR (2001) Incorporation of ridge and furrow method of rainfall harvesting with mulching for crop production under semiarid conditions. Agric Water Manag 50:173–183

    Article  Google Scholar 

  • Li XY, Shi PJ, Liu LY, Gao SY, Wang XS, Cheng LS (2005) Influence of pebble size and cover on rainfall interception by gravel mulch. J Hydrol 312:70–78

    Article  Google Scholar 

  • Lobell DB, Field CB (2007) Global scale climate–crop yield relationships and the impacts of recent warming. Environ Res Lett 2:014002. https://doi.org/10.1088/1748-9326/2/1/014002

    Article  Google Scholar 

  • Lobell DB, Hammer GL, Chenu K, Zheng B, Mclean G, Chapman SC (2015) The shifting influence of drought and heat stress for crops in northeast Australia. Glob Chang Biol 21:4115–4127. https://doi.org/10.1111/gcb.13022

    Article  Google Scholar 

  • Makkink GF (1957) `Testing the Penman formula by means of lysimeters’. J Inst Wat Engrs 11:277–288

    Google Scholar 

  • Mann HB (1945) Non-parametric tests against trend. Econometrica 13:163–171

    Article  Google Scholar 

  • Mathugama SC, Peiris S (2012) Spatial and temporal analysis of critical dry spells in Sri Lanka. Int J Clim Chang 3(3):71–88. https://doi.org/10.18848/1835-7156/CGP/v03i03/37122

    Article  Google Scholar 

  • Mathugama SC, Peiris TSG (2011) Critical evaluation of dry spell research. Int J Basic Appl Sci 11(06):153–160 114806–7575 IJBAS-IJENS

    Google Scholar 

  • Mathugama SC, Peiris TSG (2013) Modelling onset of critical dry spells in Dl2 region in dry zone, Sri Lanka. World Appl Sci J 21(special issue of applied math):142–149. https://doi.org/10.5829/idosi.wasj.2013.21.am.21137

    Article  Google Scholar 

  • McMahon TA, Peel MC, Lowe L, Srikanthan R, McVicar TR (2013) Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis. Hydrol Earth Syst Sci 17:1331–1363. https://doi.org/10.5194/hess-17-1331-2013

    Article  Google Scholar 

  • Moser SB, Feil B, Jampatong S, Stamp P (2006) Effects of pre-anthesis drought, nitrogen fertilizer rate, and variety on grain yield, yield components, and harvest index of tropical maize. Agric Water Manag 81:41–58

    Article  Google Scholar 

  • Mugalavai EM, Kipkorir EC, Songok CK (2012) Evaluation of dry spells during sensitive growth stages for maize crop in Western Kenya. The International Conference on Disaster Risk Reduction and Conflict Resolution for Sustainable Development 18-20th July, 2012 @ Mmust, Kakamega, Kenya

  • Modaihsh AS, Horton R, Kirkham D (1985) Soil water evaporation suppression by sand mulches. Soil Sci 139:357–361

    Article  Google Scholar 

  • Nachtergaele J, Poesen J, Van WB (1998) Gravel mulching in vineyards of southern Switzerland. Soil Tillage Res 46:51–59

    Article  Google Scholar 

  • Nema MK, Khare D, Chandniha SK (2017) Application of artificial intelligence to estimate the reference evapotranspiration in sub-humid Doon valley. https://doi.org/10.1007/s13201-017-0543-3

  • Odekunle TO (2006) Determining rainy season onset and retreat over Nigeria from precipitation amount and number of rain days. Theor Appl Climatol 83:163–201

    Article  Google Scholar 

  • Ojanuga AG (2006) Agroecological zones of Nigeria manual (Edited by Berding, F. and Chude, V. O., NSPFS Office, Abuja ), Project fully supported by Food and Agricultural Organization of the United Nations (FAO) and National Special Programme for Food Security (NSPFS), Abuja, Nigeria

  • Omotosho JB (1985) The separate contributions of squall lines, thunderstorms and the monsoon to the total rainfall in Nigeria. J Climatol 5:543–552

    Article  Google Scholar 

  • Paredes P, Fontes JC, Azevedo EB, Pereira LS (2018) Daily reference crop evapotranspiration in the humid environments of Azores islands using reduced data sets: accuracy of FAO-PM temperature and Hargreaves-Samani methods. Theor Appl Climatol 134:595–611. https://doi.org/10.1007/s00704-017-2295-2

    Article  Google Scholar 

  • Phillips JG, Cane MA, Rosenzweig C (1998) ENSO, seasonal rainfall patterns and simulated maize yield variability in Zimbabwe. Agric Forest Meteorol 90:39–50. https://doi.org/10.1016/S0168-1923(97)00095-6

    Article  Google Scholar 

  • Raymond F, Ullmann A, Camberlin P, Drobinski P, Chateau Smith C (2016) Extreme dry spell detection and climatology over the Mediterranean Basin during the wet season. Geophys Res Lett 43:7196–7204. https://doi.org/10.1002/2016GL069758

    Article  Google Scholar 

  • Raymond F, Ullmann A, Camberlin P, Oueslati B, Drobinsky P (2018) Atmospheric conditions and weather regimes associated with extreme winter dry spells over the Mediterranean basin. Clim Dyn 50:4437–4453. https://doi.org/10.1007/s00382-017-3884-6

    Article  Google Scholar 

  • Rivoire P, Tramblay Y, Neppel L, Hertig E, Vicente-Serrano SM (2019) Impact of the dry-day definition in Mediterranean extreme dry-spell analysis. Nat Hazard Earth Syst Sci 19:1629–1638

    Article  Google Scholar 

  • Sarrantonio M (1994) Managing cover crop profitability northeast cover crop handbook. Soil health series book 9 Rodale Institute 1994 Kutztown, Pa. [accessed July 2, 2020] available at www.sare.org › content › download › file › managing co.

  • Serra C, Lana X, Burgueno A, Martinez MD (2016) Partial duration series distributions of the European dry spell lengths for the second half of the twentieth century. Theor Appl Climatol 123:63–81

    Article  Google Scholar 

  • Sawa BA, Adebayo AA (2018) Effects of pentad dry spells on the yield of some crops in the semi-arid eco-climate region of Northern Nigeria. Zaria Geogr 19(1):49–60 [accessed February 12, 2020] Available at https://www.researchgate.net/publication/326031931

    Google Scholar 

  • Sims J (1996) Beyond summer Fallow.Prairie Salinity Network Workshop, June 6, 1996, Conrad, Mont. Available from Montana SalinityControl Association, Conrad, Mont 59425

  • Sivakumar MVK (1992) Empirical analysis of dry spells for agricultural applications in West Africa. J Clim 5:532–539

    Article  Google Scholar 

  • Stern RD (1997) Module 2C climatic statistics monograph - week 1 MASD 1997 Statistical Services Centre. The University of Reading Publication

  • Stern RD, Cooper PJM (2011) Assessing climate risk and climate change using rainfall data - a case study from Zambia. Exp Agric 47(2):241–266. https://doi.org/10.1017/S0014479711000081

    Article  Google Scholar 

  • Tabari H, Hosseinzadehtalaei P, Willems P, Martinez CJ (2014) Validation and calibration of solar radiation equations for estimating daily reference evapotranspiration at cool semi-arid and arid locations. Hydrol Sci J [ 61:610–619. https://doi.org/10.1080/02626667.2014.947293

    Article  Google Scholar 

  • Taley SM, Dalvi VB (1991) Dry spell analysis for studying the sustainability of rain-fed agriculture in India-the case study of the Vidarbha region of Maharashtra State large farm development project, Wani-Rambhapur P.O. Nipana (Dr. Panjabrao Deshmukh Agricultural University, Akola.) Dist. Akola

  • Tellen VA (2017) A comparative analysis of reference evapotranspiration from the surface of rainfed grass in Yaounde, calculated by six empirical methods against the penman-Monteith formula. Tellen Earth Perspect 4:4. https://doi.org/10.1186/s40322-017-0039-1

    Article  Google Scholar 

  • Tramblay Y, Hertig E (2018) Modelling extreme dry spells in the Mediterranean region in connection with atmospheric circulation. Atmos Res 202:40–48

    Article  Google Scholar 

  • Trepanier JC, Roberts MJ, Keim BD (2015) Trends and spatial variability in dry spells across the South-Central United States. J Appl Meteorol Climatol 54(11):2261–2272

    Article  Google Scholar 

  • Vicente-Serrano SM, Beguería-Portugués S (2003) Estimating extreme dry-spell risk in the middle Ebro valley (northeastern Spain): a comparative analysis of partial duration series with a general Pareto distribution and annual maxima series with a Gumbel distribution. Int J Climatol 23:1103–1118

    Article  Google Scholar 

  • Veleda D, Montagne R, Araujo M (2012) Cross-wavelet bias corrected by normalizing scales. Atmos Oceanic Technol 29:1401–1408

    Article  Google Scholar 

  • Wang X, Liu H, Zhang L, Zhang R (2014) Climate change trend and its effects on reference evapotranspiration at Linhe Station. Hetao Irrigat Dist. https://doi.org/10.3882/j.issn.1674-2370.2014.03.002

  • Yanyun L, Strapasson A, Rojas O (2020) assessment of El-Nino and La-Nina impacts on China: enhancing the early warning system on food and agriculture. Weather Clim Extr 27:1–13, 27:100208. https://doi.org/10.1016/j.wace.2019.100208

    Article  Google Scholar 

  • Ye XC, Li XH, Liu J, Xu CY, Zhang Q (2013) Variation of reference evapotranspiration and its contributing climatic factors in the Poyang Lake catchment, China. Hydrol Process 28(25):6151e6162. https://doi.org/10.1002/hyp.10117

    Article  Google Scholar 

  • Zhou LM, Jin SL, Liu CA, Xiong YC, Si JT, Li XG, Gan YT, Li FM (2012) Ridge-furrow and plastic-mulching tillage enhances maize-soil interactions: opportunities and challenges in a semiarid agroecosystem. Field Crop Res 126:181–188

    Article  Google Scholar 

  • Zhou LM, Li FM, Jin SL, Song Y (2009) How two ridges and the furrow mulched with plastic film affect soil water, soil temperature and yield of maize on the semiarid Loess Plateau of China. Field Crop Res 113:41–47

    Article  Google Scholar 

  • Zhu L, Liu J, Luo S, Bu L, Chen X, Li S (2015) Soil mulching can mitigate soil water deficiency impacts on rainfed maize production in semiarid environments. J Integr Agric 14(1):58–66

    Article  Google Scholar 

Download references

Acknowledgments

We are indebted to Dr. Gbode Imole and Mr. Igwe Okoro for their guidance regarding the ERA Interim Reanalysis data downloads. Drs. Gbode and Balogun also deserve our thanks for the extraction of the TRMM data. We place on record Dr., Adeyeri’s assistance on data homogenization. The Director of the West African Science Center for Climate Change and Adapted Land Use (WASCAL), The Federal University of Technology, Akure, Nigeria, deserves our appreciation for granting permission for the use of its Internet facility. We also place on record the good advice of Professor E. C. Okogbue in this work. We thank immensely the Director General/Chief Executive Officer of the Nigerian Meteorological Agency (NiMet) for the provision of data used for this work. The efforts of the anonymous reviewers to get this work published are also acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nnadozie O. Nnoli.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nnoli, N.O., Balogun, A.A., Omotosho, J.A. et al. Empirical analysis of dry spells during growing season with respect to maize crop in Nigeria. Theor Appl Climatol 142, 525–542 (2020). https://doi.org/10.1007/s00704-020-03327-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-020-03327-9

Keywords

Navigation