Variability changes of some climatology parameters of Nigeria using wavelet analysis

Adepitan, J. O.; Falayi, E.O.

doi:10.1016/j.sciaf.2018.e00017

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…The observed variation in the incidence and prevalence of single and multiple cowpea viruses in Southwest Nigeria, over the years, might have been enhanced by climate change, which impact has been reported in Nigeria (Adepitan and Falayi 2019 ), changes occurring within farming systems and crop intensification (Legg et al 2019 ), usage of virus susceptible landraces and poor insect vector management. Disease control measures need to consider compatibility with sustainable and climate-resilient crop production systems, soil resources regeneration, protection of water and air, and development of crop germplasm with increased tolerance or resistance to pathogens and pests, which can also produce more food of high nutritional quality (Roberts et al 2021 ).…”

Section: Discussionmentioning

confidence: 93%

Updates on cowpea viruses in Southwest Nigeria: distribution, prevalence and coinfection

Ogunsola

Yusuf

Elegbeku

2022

Indian Phytopathology

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Cowpea is an important source of dietary proteins in the semi-arid regions of sub-Saharan Africa. Its productivity is constrained by several viral diseases and there are limited updates on the incidence and distribution of these diseases in Nigeria. This study assessed the distribution and prevalence of cowpea viruses in Southwest Nigeria. Field surveys were conducted in 2017 and 2018, in which a total of 600 leaf samples were randomly collected from 60 cowpea fields in four (Oyo, Ogun, Ondo and Osun) states at 15 fields per state and 10 samples per field. Disease incidence and severity were recorded while virus infections were confirmed by enzyme-linked immunosorbent assay or reverse transcription polymerase chain reaction. Viral disease symptoms of systemic mosaic, mottling, puckering, vein-banding, leaf deformation and stunted growth were observed. Highest virus incidence and severity (100% and 4.8 ± 0.4) were observed at Adeosun Avenue, Ondo state, whereas Boredun, Osun state had the least (80% and 3.8 ± 0.7), with some symptomless fields found among the states. Seven viruses, viz.: cowpea aphid-borne mosaic virus (CABMV), cowpea mild mottle virus (CPMMV), bean common mosaic virus-blackeye cowpea mosaic strain (BCMV-BlCM), cucumber mosaic virus (CMV), southern bean mosaic virus (SBMV), cowpea mottle virus (CMoV) and cowpea yellow mosaic virus (CYMV) were detected from 173 (28.8%) samples collected from 32 (53.3%) fields across the states. CPMMV was prevalent, detected from 30.0% of surveyed fields, whereas CYMV was the least prevalent (3.3%). Multiple infections of two to four viruses were observed among 12.5% of samples from 51.7% of fields. Highest incidence of single and multiple virus infections were observed in Ondo state. This updates on virus distributions in Southwest Nigeria will be useful for multiple virus resistance-breeding programs and other viral disease management strategies for improved cowpea productivity. Supplementary Information The online version contains supplementary material available at 10.1007/s42360-022-00576-8.

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Section: Discussionmentioning

confidence: 93%

Updates on cowpea viruses in Southwest Nigeria: distribution, prevalence and coinfection

Ogunsola

Yusuf

Elegbeku

2022

Indian Phytopathology

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“…SD is the energy of the solar radiation that reaches the earth. The intermittent oscillation of the SD (Figure 1a) with a period of 4-8 months (centered on 6 months) was significant in 1997, in the period of Climate change can be identified by the average change or variability of its traits over a long period of time, usually decades [22]. Weather is defined as a nonlinear dynamic system of atmosphere, the state of air in the atmosphere at a particular time and place that is erratic and variable in nature, while climate is the average state of weather.…”

Section: Monthly and Annual Sd Distribution (1981-2019)mentioning

confidence: 99%

Durasi Penyinaran Matahari Dan Diurnal Temperature Range Serta Kaitannya Dengan Perubahan Iklim Di Pontianak, Indonesia

Nelvi,

Nata

2024

j. meteorologi dan geofisika

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Durasi penyinaran matahari (DPM) memiliki peranan penting dalam perubahan iklim atau cuaca di bumi. Dewasa ini, perubahan iklim dapat diindikasikan dengan perubahan nilai DPM (dimming/brightening) beberapa dekade terakhir. Analisis DPM dan diurnal temperature range (DTR) perlu dilakukan untuk mengetahui dampak perubahan iklim. Dilakukan analisis data DPM, DTR Tmean, Tmak, Tmin, dan curah hujan di Pontianak, Kalimantan Barat tahun 1981-2019 menggunakan Continuous Wavelet Transform (CWT) dan Wavelet Transform Coheren (WTC). Hasil CWT menggunakan wavelet Morlet, DPM memiliki periode dominan 8-16 bulan. DTR memiliki periode dominan 8-16 bulan dan 32-64 bulan. Peningkatan DPM dapat dikatakan bahwa Pontianak berada pada periode pencerahan (brightening) yang disebabkan oleh perubahan karakteristik awan dan aerosol sehingga terjadi peningkatan jumlah energi matahari yang mencapai permukaan bumi. Perubahan iklim juga telah terlihat dari penurunan DTR. Ditemukan korelasi negatif antara DTR dan DPM (r = -0,80). DTR menjadi indikator penting dari perubahan iklim karena sensitif terhadap perubahan keseimbangan energi radiasi. Perubahan DPM memberikan dampak yang signifikan terhadap Tmean, Tmak dan Tmin. Peningkatan Tmin yang lebih cepat dibandingkan Tmak menyebabkan penurunan DTR sehingga Tmin diprediksi akan semakin tinggi. Tmean dan Tmak memiliki periode dominan 8-16 bulan. Tmin memiliki periode 12-20 bulan dan 32-64 bulan. Peningkatan suhu yang terdeteksi pada periode tersebut diasosiasikan dengan peristiwa kebakaran hutan lahan gambut di Kalimantan yang diperkirakan karena pengaruh brightening period dan peningkatan konsentrasi gas rumah kaca di atmosfer. Curah hujan memiliki periode 4-8 bulan dan 8-16 bulan. Kekeringan yang terjadi dikaitkan dengan peristiwa El Nino mengakibatkan besarnya simpangan jumlah curah hujan terhadap normalnya.

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“…Using (2) for time series analysis, this basic wavelet function is transformed to a new wavelet in time. The scaled wavelets s in ( 3) is used to change the scale [22,25,26]:…”

Section: A Wavelet Analysismentioning

confidence: 99%

Spatiotemporal Rainfall Dynamics in Kosi Basin Using Wavelet Analysis

Towheed

Roshni

2021

Eng. Technol. Appl. Sci. Res.

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Spatial and temporal analysis of rainfall data were carried out along with wavelet analysis for seven rain gauge sites of Kosi basin, India during the time period from 1985 to 2017. Wavelet spectrum analysis and wavelet coherence analysis were performed to fully characterize the time-frequency rainfall variability of the rain gauge data in these areas. For all the selected gauge stations during the study period, the peak value of the wavelet power spectrum was identified for the 8-16 month band. The results of wavelet spectrum analysis reveal a good correlation of rainfall data in the rain gauge sites lying in the southwest of the Kosi basin. The spectrum analysis also differentiates the wet and dry periods and it was observed that in the majority of the selected sites, a dry period occurred from the year 2005 onwards. This was again confirmed with breakpoint analysis. The wavelet coherence analysis explicit is a good correlation between the rain gauges in the study area. Overall, the variability of the rainfall parameters was more vivid with the wavelet analysis and this can be extended to other climatological parameters.

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Variability changes of some climatology parameters of Nigeria using wavelet analysis

Cited by 15 publications

References 13 publications

Updates on cowpea viruses in Southwest Nigeria: distribution, prevalence and coinfection

Updates on cowpea viruses in Southwest Nigeria: distribution, prevalence and coinfection

Durasi Penyinaran Matahari Dan Diurnal Temperature Range Serta Kaitannya Dengan Perubahan Iklim Di Pontianak, Indonesia

Spatiotemporal Rainfall Dynamics in Kosi Basin Using Wavelet Analysis

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