2019
DOI: 10.3390/w11030578
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Analysis of Intra and Interseasonal Rainfall Variability and Its Effects on Pearl Millet Yield in a Semiarid Agroclimate: Significance of Scattered Fields and Tied Ridges

Abstract: Establishing food security in sub-Saharan African countries requires a comprehensive and high resolution understanding of the driving factors of crop production. Poor soil and adverse climate conditions are among the major drivers of poor regional crop production. Drought and rainfall variability challenges are not fully being addressed by rainfed producers in semiarid areas. In this study, we analysed the spatiotemporal rainfall variability (STRV) and its effects on pearl millet yield using two seasons of dat… Show more

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Cited by 14 publications
(24 citation statements)
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“…Timely planting including dry soil planting [18], tied ridges, microdose and scattered fields [9,30], and other strategies of risk minimization in agricultural production found in literature provide useful experience in dealing with rainfed production challenges, but they individually partially address the challenges. An important insight is to combine different strategies together for attaining significant effects.…”
Section: Discussionmentioning
confidence: 99%
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“…Timely planting including dry soil planting [18], tied ridges, microdose and scattered fields [9,30], and other strategies of risk minimization in agricultural production found in literature provide useful experience in dealing with rainfed production challenges, but they individually partially address the challenges. An important insight is to combine different strategies together for attaining significant effects.…”
Section: Discussionmentioning
confidence: 99%
“…Daily rainfall data were collected on site using a standard manual rain gauge. The seasonal rainfall for the area is highly variable, with a coefficient of variation (CV) between 10% and 14% in a small area of 15 km 2 [9]. Additionally, the area is susceptible to severe spatial variabilities in daily rainfall amounts that can exceed a spatial threshold CV of 300% [30,31].…”
Section: Weather Datamentioning
confidence: 99%
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