Africa is a net importer of food, especially cereal grains, despite the importance of agriculture in the continent. The agricultural growth in Africa has been undermined by low investment in agriculture, poor infrastructure, high population growth rate, and low adoption of technologies. The agri-food value chain in many African countries will benefit from the adoption of appropriate technologies that are available in the digital landscape to leverage the agricultural sector, make it more attractive to the teeming youth population, and to reverse rural-urban migration. Attention to indigenous cereal grains and other crops that are grown locally and processed into different local foods would ensure food security. However, the availability of these crops in the market is often reduced due to damage before harvest by pests and predators leading to economic losses for farmers. In this article, we review the literature from a multidisciplinary perspective on the relevance of African indigenous food grains to food security in general and we highlight the potential application of drones to increase the yield of cereal grains in three regions of the continent—eastern, western, and southern Africa.
Despite potato yield potential, its intensification level remain low in Rwanda, translating into low yield occasioned mainly by the decline in soil fertility. Field experiments were conducted in Birunga, Mudende [L1]) and Buberuka, Rwerere [L2] highlands Agro-Ecological Zones (AEZs), during September- December 2016 and March-June 2017 crop growing seasons to determine the effects of varying rates of N, P and K on potato tuber yield and yield components. The experiments were laid out using randomized complete block design with factorial arrangement, with four replicates. Factors were N rates (NX) i.e N1-0 kg ha-1, N2 – 50 kg ha-1, N3 – 100 kg ha-1 ; P2O5 rates (PX) i.e P1-0 kg ha-1, P2 – 50 kg ha-1, P3 – 100 kg ha-1and K2O rates (Kx) i.e K1- 0 kg ha1and K2- 50 kg ha-1. Number of tubers per plant, fresh tuber weight, small tuber yield, medium tuber yield, large tuber yield and total tuber yield were measured. Analysis of variance, performed using SAS-version 9.2, revealed that interaction effects of N×P×K were very highly significant on all parameters. Generally, N3×P3×K2 performed better than other treatments and recorded highest tuber yields in all situations: (32.73 ± 0.43) t ha-1[L1] and (29.36 ± 0.41) t ha-1 [L2] and (31.05 ± 0.52) t ha-1for pooled ANOVA. Contrarily to what happened at L2, N3P3K2 andN2P3K2 were not significantly different at L1. N2P3 K2 is recommended to L1 whereas N3P3K2 is recommended to L2.
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