Data on rice harvest and postharvest loss in Sub-Sahara Africa (SSA) is scanty making it difficult for stakeholders to appreciate the loss and set priority areas for loss reduction along the value chain. To address this problem, a protocol was developed and validated for postharvest loss (PHL) quantification in SSA. Quantitative losses at each segment were determined by field measurements. Interactive effect of origin of rice (domestic versus imported) and type of processing (white versus parboiled milled) on rice price in 33 markets in Africa was used to estimate qualitative loss for both white and parboiled milled rice. Total PHL for rice in SSA in 2018 is estimated at about US$ 10.24 billion, representing 47.63% of the expected total production. The highest loss recorded was quantitative loss before and during harvesting, followed by qualitative loss along the entire value chain, quantitative loss during milling, parboiling, threshing in that order, with the lowest being quantitative loss during drying. Priority areas to be targeted for PHL reduction in SSA and some loss mitigation tools and technologies piloted or suitable for SSA are proposed.

关于撒哈拉以南非洲（SSA）的稻米收获和收获后损失的数据很少，这使利益相关者很难意识到损失，并难以确定整个价值链上减少损失的重点领域。为了解决此问题，开发了一种协议，并针对SSA中的收获后损失（PHL）量化进行了验证。通过现场测量确定每个部分的定量损失。在非洲的33个市场中，大米的原产地（国内与进口）和加工类型（白米与半熟碾米）的交互作用被用来估计白米和半熟碾米的质量损失。据估计，2018年撒哈拉以南非洲稻米的总PHL约为102.4亿美元，占预期总产量的47.63％。记录的最大损失是收获前和收获期间的定量损失，其次是整个价值链的质量损失，依次是碾磨，煮沸和脱粒期间的定量损失，其中最低的是干燥期间的定量损失。提出了减少SSA中PHL的优先领域，并提出了一些试点或适用于SSA的减损工具和技术。