A dataset of variety and location effect on optimization of row spacing, in North Gondar, Ethiopia
Malt barley is among the priority commodity crops that have attracted the attention of policymakers in Ethiopia. A lot of effort has been exerted to improve malt barley production through strengthening malt barley research and scaling up the available agronomic-like technologies. Despite all efforts, however, productivity is much below the potential due to traditional systems of land management, poor agronomic practices, lack of high-quality seeds of improved varieties. We, therefore, conducted a field experiment to evaluate malt barley varieties under a range of inter-row spacing and two mega environments in northern Gondar for their yield and associated traits. The data presented under this article includes Phenological traits, yield and yield components such as days to 50% heading, days to 90% physiological maturity, seeds spike, spike length, number of effective tillers, 1000-seed weight, grain yield, total aboveground biomass yield, and straw yield. The experimental factors considered in our experiment includes two divergence growing environments (Miligebsa and Kino), six malt barley varieties (i.e., Holker, HB1963, Sabine, Ibone174/03, EH1847, and Freygebse), and four levels of inter-row spacing such as 20, 25, and 30 cm. During the experimentation, all experimental plots received uniform agronomic practices such as weeding, fertilizer application, harvesting, and trashing. The analyzed result showed an important interaction among the imposed factors. It was found that optimization of row spacing has been found to be dictated by location and varietal difference. On the basis of the result, it can be universally concluded that 25cm row spacing combined with the varieties “HB1963,” “Hollker,” and “Sabine” was found to be optimum for maximum yielding potential under a potential environment (Miligebsa). This information can allow other researchers to review our data, methods, and analysis in detail, possibly giving rise to new lines of inquiry. This can also give rise to new collaborations and boost the reputation of this research result within the community. therefore, this dataset is aimed to prepare a dataset collected from an intensive malt barley field experiment for public use and to make the raw data available to everyone to use as they wish.