2017
DOI: 10.1007/s13593-017-0431-0
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Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa

Abstract: Secondary and micronutrients are important in enhancing crop productivity; yet, they are hardly studied in sub-Sahara Africa. In this region, the main focus has been on macronutrients but there is emerging though scattered evidence of crop productivity limitations by the secondary and micronutrients. Elsewhere, widespread deficiencies of these nutrients are associated with stagnation of yields. Here, we undertake a meta-analysis using 40 articles reporting crop response to secondary and micronutrients to (1) d… Show more

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Cited by 113 publications
(108 citation statements)
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“…The positive effect of gypsum application was less marked under the less critical plant growth conditions (i.e., the absence of water deficiency and low Al saturation in the subsoil) ( Figure 5). Similar results were obtained for the response to S and micronutrients of crops on African soils (Kihara et al, 2017). However, gypsum application slightly increased grain yield even under favorable conditions for crop growth here ( Figure 5…”
Section: Response Of Grain Crops To Gypsumsupporting
confidence: 83%
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“…The positive effect of gypsum application was less marked under the less critical plant growth conditions (i.e., the absence of water deficiency and low Al saturation in the subsoil) ( Figure 5). Similar results were obtained for the response to S and micronutrients of crops on African soils (Kihara et al, 2017). However, gypsum application slightly increased grain yield even under favorable conditions for crop growth here ( Figure 5…”
Section: Response Of Grain Crops To Gypsumsupporting
confidence: 83%
“…The procedure involved calculating the natural logarithm of the response ratio for grain yield at each gypsum rate used. After confirming that the vast majority of primary studies included in the meta-analysis exhibited no data dispersion in terms of variance, SD, and SEM, observations were weighted according to number of replicates (n) as shown in Equation 1 (Kihara et al, 2017;Pittelkow et al, 2015):…”
Section: Meta-analysis Of Datamentioning
confidence: 99%
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