five

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

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://data.mendeley.com/datasets/gh2nfyyknj
下载链接
链接失效反馈
官方服务:
资源简介:
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,内含三个工作表,各工作表存储独立的信息集合。三个工作表共同提供了从尼日利亚开展的木薯花叶病(cassava mosaic diseases)流行病学调查中采集的木薯种质(cassava accessions)预产量试验所获取的农艺性状(agronomic characteristics)全面信息。本数据集涵盖了从尼日利亚西南部及中北部地区290块田地中精心采集的470份木薯种质的数据。该Excel文件的第一个工作表存储收获前数据,涵盖收获期前观测得到的各类性状。这些性状作为关键指标,可为揭示试验阶段内各木薯种质的生长发育模式提供宝贵参考。第二个工作表包含收获期数据,详细记录了所研究木薯种质的地上部生物量及块根性状信息。该数据可全面解析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),可全面概述并详细说明试验中所有测量变量。该元数据通过阐明各测量变量的意义与背景,为提升本数据集的可解释性与实用价值提供了重要参考工具。
创建时间:
2024-05-07
二维码
社区交流群
二维码
科研交流群
商业服务