农业大数据学报 ›› 2025, Vol. 7 ›› Issue (1): 107-111.doi: 10.19788/j.issn.2096-6369.100009

• 数据资源 • 上一篇    下一篇

2016-2023年山西省玉米品种大斑病抗性分级及评价数据集

杨俊伟(), 王建军, 温胜慧, 王富荣, 马周杰   

  1. 山西农业大学玉米研究所/国家植物保护忻州观测实验站,山西忻州 034000
  • 收稿日期:2023-08-28 接受日期:2024-12-06 出版日期:2025-03-26 发布日期:2025-02-05
  • 作者简介:杨俊伟,E-mail:13603507213@163.com
  • 基金资助:
    国家农业基础性长期性科技工作监测项目(NAES088PP15);山西省基础研究计划青年项目(202203021212438);忻州市农业重点研发计划(20220207);忻州市基础研究计划(20220506)

Dataset of the Resistance Classification of Corn Northern Leaf Blight and Evaluation of Maize Varieties in Shanxi Province from 2016 to 2023

YANG JunWei(), WANG JianJun, WEN ShengHui, WANG FuRong, MA ZhouJie   

  1. Corn Research Institute of Shanxi Agricultural University /National Agricultural Experimental Station for Plant Protection, Xinzhou 034000, Shanxi, China
  • Received:2023-08-28 Accepted:2024-12-06 Published:2025-03-26 Online:2025-02-05

摘要:

对2016-2023年参加山西省品比试验的1439个玉米杂交种通过人工接种的方法,进行了大斑病田间表型抗性分析。本数据集以Excel格式存储,共包含1439行数据,其中每一行代表一个玉米品种。数据集中的列包括:玉米类型、品种名称、熟期、播种时间、接种时间、抗性调查时间、各品种大斑病抗性分级等。该数据集的建立和共享可为抗大斑病玉米品种的筛选和后续推广利用提供技术支撑,同时为抗大斑病材料的选育提供参考资料。

数据摘要:

项目 描述
数据集名称 2016-2023年山西省玉米品种大斑病抗性分级及评价数据集
所属学科 农业科学
研究主题 玉米品种大斑病
数据时间范围 2016-2023年
时间分辨率
数据地理空间覆盖 山西省
数据类型与技术格式 .xls
数据库(集)组成 2016-2023年参加山西省品比试验的1439个玉米杂交种通过人工接种的方法,进行了大斑病田间表型抗性分析。本数据集以Excel格式存储,共包含1439行数据,其中每一行代表一个玉米品种。
数据量 277 kB
主要数据指标 玉米类型、品种名称、熟期、播种时间、接种时间、抗性调查时间、品种大斑病抗性分级等
数据可用性 https://cstr.cn/17058.11.sciencedb.agriculture.00162
https://doi.org/10.57760/sciencedb.agriculture.00162
经费支持 国家农业基础性长期性科技工作监测项目(NAES088PP15);山西省基础研究计划青年项目(202203021212438);忻州市农业重点研发计划(20220207);忻州市基础研究计划(20220506)。

关键词: 玉米品种, 大斑病, 抗性评价

Abstract:

The field phenotypic resistance analysis of 1439 maize hybrids from Shanxi province product comparison test were conducted from 2016 to 2023 through artificial inoculation. This dataset is stored in Excel format and contains a total of 1439 rows of data, with each row representing a corn variety. The columns in the dataset include: corn type, variety name, maturity, sowing time, inoculation time, resistance survey time, resistance grading of each variety to northern leaf blight, etc. The establishment and sharing of this dataset can provide technical support for the screening and subsequent promotion and utilization of maize varieties resistant to big spot disease, and also provide reference materials for the breeding of materials resistant to big spot disease.

Data summary:

Ttem Description
Dataset name Dataset of the Resistance Classification of Corn Northern Leaf Blight and Evaluation of Maize Varieties in Shanxi Province from 2016 to 2023
Specific subject area Agricultural science
Research topic Corn northern leaf blight
Time range 2016-2023
Temporal resolution Year
Geographical scope Shanxi Province
Data types and technical formats .xls
Dataset structure The field phenotypic resistance analysis of 1439 maize hybrids from Shanxi province product comparison test were conducted from 2016 to 2023 through artificial inoculation. This dataset is stored in Excel format and contains a total of 1439 rows of data, with each row representing a corn variety.
Volume of dataset 277 kB
Key index in dataset Corn type, variety name, maturity period, sowing time, inoculation time, resistance investigation time, classification of resistance to Corn northern leaf blight in various varieties
Data accessibility https://cstr.cn/17058.11.sciencedb.agriculture.00162
https://doi.org/10.57760/sciencedb.agriculture.00162
Financial support National Agricultural Basic Long term Science and Technology Work Monitoring Project (NAES088PP15); Youth Project of Shanxi Basic Research Program (202203021212438); Key Agricultural Research and Development Plan of Xinzhou City (20220207); Xinzhou Basic Research Plan (20220506).

Key words: maize hybrids, northern leaf blight, resistance evaluation