缩小南部非洲大豆产量差距——以马拉维、赞比亚和莫桑比克为例

IF 3.5 Q1 AGRONOMY
J. O. Omondi, S. Mkuhlani, Jane W. Mugo, A. M. Chibeba, M. Chiduwa, G. Chigeza, S. Kyei-Boahen, P. Masikati, I. Nyagumbo
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引用次数: 1

摘要

撒哈拉以南非洲(SSA)的小农户越来越多地生产用于食品、饲料、现金和土壤肥力改善的大豆。然而,小农户的产量与研究领域可达到的产量或作物模型的潜力之间的差异很大。产量差距的原因包括施用适当的肥料和接种剂的量少或不施用、种植后期、植物种群少、种子回收等。在此,我们回顾了有关产量差距的文献和缩小产量差距的技术,并通过APSIM中合适的播播日期和合适的高产品种对产量进行了建模。研究结果强调,在2010年至2020年期间,SSA的大豆产量有所增加;然而,这是通过种植面积的扩大,而不是每公顷产量的增加。此外,马拉维、赞比亚和莫桑比克的实际小农户产量分别比可达到的产量低3.8倍、2.2倍和2.3倍。通过接种,大豆产量提高了23.8%。与40 kg ha−1的P或60 kg ha−l的K相结合,产量分别提高了89.1%和26.0%。总的来说,在SSA中向大豆施用21–30 kg ha-1磷可使产量提高约48.2%。此外,适时播种可使大豆产量提高300%。尽管这些技术提高了大豆产量,但它们并没有被小农户完全接受。因此,将其提炼并捆绑在数字咨询工具中,将提高小农户在正确时间获得正确信息的能力,并提高单位面积大豆产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Closing the yield gap of soybean (Glycine max (L.) Merril) in Southern Africa: a case of Malawi, Zambia, and Mozambique
Smallholder farmers in Sub-Saharan Africa (SSA) are increasingly producing soybean for food, feed, cash, and soil fertility improvement. Yet, the difference between the smallholder farmers’ yield and either the attainable in research fields or the potential from crop models is wide. Reasons for the yield gap include low to nonapplication of appropriate fertilizers and inoculants, late planting, low plant populations, recycling seeds, etc.Here, we reviewed the literature on the yield gap and the technologies for narrowing it and modelled yields through the right sowing dates and suitable high-yielding varieties in APSIM.Results highlighted that between 2010 and 2020 in SSA, soybean production increased; however, it was through an expansion in the cropped area rather than a yield increase per hectare. Also, the actual smallholder farmers’ yield was 3.8, 2.2, and 2.3 times lower than the attainable yield in Malawi, Zambia, and Mozambique, respectively. Through inoculants, soybean yield increased by 23.8%. Coupling this with either 40 kg ha−1 of P or 60 kg ha−1 of K boosted the yields by 89.1% and 26.0%, respectively. Overall, application of 21–30 kg ha-1 of P to soybean in SSA could increase yields by about 48.2%. Furthermore, sowing at the right time increased soybean yield by 300%. Although these technologies enhance soybean yields, they are not fully embraced by smallholder farmers. Hence, refining and bundling them in a digital advisory tool will enhance the availability of the correct information to smallholder farmers at the right time and improve soybean yields per unit area.
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来源期刊
Frontiers in Agronomy
Frontiers in Agronomy Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
4.80
自引率
0.00%
发文量
123
审稿时长
13 weeks
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