Molla Tesfaye, Tesfaye Kindie, Mekbib Firew, Tana Tamado, Taddesse Tilahun
Department of Plant Science, Debre Tabor University, P.Box.272, Debre Tabor, Ethiopia.
International Maize and Wheat Improvement Centre (CIMMYT), P.Box. 5689, Addis Ababa, Ethiopia.
Heliyon. 2022 Nov 29;8(12):e12021. doi: 10.1016/j.heliyon.2022.e12021. eCollection 2022 Dec.
In Ethiopia, rice productivity varies over locations. However, there is limited understanding about rice yield drivers for design appropriate policies and strategies to enhance rice productivity. This study focuses on assessing the patterns of rice yield and its drivers. Data were collected from 220 households and field measurements were made accordingly. Descriptive statistics, the Kruskal-Wallis test, and biplot were to assess yield groups, drivers ranking, and driver yield group association, respectively. Four yield groups were identified 2.1 (Y1) t ha, 3.0 (Y2) t ha, 4.1(Y3) t ha, and 5.2 (Y4) t ha. Water stress, low soil fertility, lack of draft animals, shortage of credit, pests, weak extension, and weeds were yield affecting drivers in Y1. Similarly, labor shortage, increase input price, credit, and weed was yield-limiting drivers in Y2 while flooding, poor marketing, and the lack of storage were the drivers in Y3. Poor seed system, post-harvest losses, lack of farm tools, price fluctuation, lack of storage, and poor marketing were drivers in Y4. This study showed that the major drivers that significantly affect yield varied among the yield groups. Perceived drivers of the different yield groups have a better understanding and prospect for strategic target policy and intervention support to minimize yield losses thereby increasing productivity.
在埃塞俄比亚,水稻产量因地点而异。然而,对于设计适当政策和战略以提高水稻产量的产量驱动因素,人们了解有限。本研究着重评估水稻产量模式及其驱动因素。从220户家庭收集了数据,并据此进行了田间测量。描述性统计、Kruskal-Wallis检验和双标图分别用于评估产量组、驱动因素排名以及驱动因素与产量组的关联。确定了四个产量组,分别为每公顷2.1(Y1)吨、3.0(Y2)吨、4.1(Y3)吨和5.2(Y4)吨。水分胁迫、土壤肥力低、缺乏役畜、信贷短缺、病虫害、推广薄弱和杂草是Y1组影响产量的驱动因素。同样,劳动力短缺、投入价格上涨、信贷和杂草是Y2组的产量限制驱动因素,而洪水、营销不佳和缺乏储存设施是Y3组的驱动因素。种子系统不完善、收获后损失、缺乏农具、价格波动、缺乏储存设施和营销不佳是Y4组的驱动因素。本研究表明,显著影响产量的主要驱动因素在不同产量组之间存在差异。了解不同产量组的感知驱动因素,有助于更好地制定战略目标政策和干预支持措施,以尽量减少产量损失,从而提高生产力。