Datasets on agromorphological characters and distribution of cassava accessions cultivated in South-West and North-Central regions of Nigeria.

The dataset is provided as an Excel file comprising of three sheets, each containing distinct sets of information. These sheets collectively offer comprehensive insights into agronomic characteristics gathered from preliminary yield trials of cassava accessions collected during an epidemiological survey for cassava mosaic diseases in Nigeria. The dataset encompasses data from 470 cassava accessions meticulously collected from 290 fields situated across the south-western and north-central regions of Nigeria. The first sheet within the Excel document presents pre-harvest data, encompassing different traits observed prior to the harvest stage. These traits serve as crucial indicators, offering valuable insights into the growth and development patterns exhibited by the cassava accessions throughout experimental phase. The second sheet contains harvest data, which provides detailed information regarding above-ground biomass and root characteristics of the cassava accessions investigated. This data offers a comprehensive understanding of the yield potential and root quality associated with each accession. Contained within the third sheet is metadata, providing insights into the comprehensive overview and detailed description of all variables measured throughout the trial. This metadata serves as a valuable reference tool, enhancing the interpretability and utility of the dataset by elucidating the significance and context of each measured variable.本数据集以Excel文件形式提供，包含三个工作表，各工作表存储独立的信息集合。三个工作表共同呈现了尼日利亚针对木薯花叶病（cassava mosaic diseases）开展的流行病学调查（epidemiological survey）中，采集的木薯种质（cassava accessions）预备产量试验（preliminary yield trials）所获得的农艺性状（agronomic characteristics）综合数据。本数据集涵盖从尼日利亚西南部与中北部地区共290块田地中精心采集的470份木薯种质的数据。 首个工作表存储收获前数据（pre-harvest data），包含收获阶段前观测的各类性状。此类性状作为关键指标，可有效反映各木薯种质在整个试验周期内的生长发育规律。 第二个工作表存储收获期数据，详细记录了供试木薯种质的地上生物量（above-ground biomass）与块根性状。该数据可全面揭示每份种质的产量潜力与块根品质。 第三个工作表存储元数据（metadata），对试验全程采集的所有变量进行全面概述与详细说明。该元数据可阐明各测量变量的意义与背景，提升本数据集的可解释性与应用价值，是极具价值的参考工具。