Agricultural Information and Engineering and Agricultural Product Processing

Application of Data Acquisition System for Phenotypic Traits in Maize Regional Experiment

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  • (1.Agricultural Economy & Information Research Institution,Henan Academy of Agricultural Sciences/Research Center for Smart Agriculture Engineering and Technology of Henan Province,Zhengzhou 450002,China;2.Elementary Education Department,Zhengzhou Normal University,Zhengzhou 450044,China)

Received date: 2019-09-04

  Online published: 2019-12-15

Abstract

The regional test of maize varieties was an important link in the breeding and promotion of superior varieties, test identification results could provide detailed scientific basis for the certification and approval of maize varieties.At present,with the acceleration of the selection and breeding process of new maize varieties,a large number of new varieties passed the national and provincial certification each year,and the number of varieties tested increased year by year, leading to the working amount of test data acquisition became larger. However, the traditional data collection methods for phenotypic traits were backward,recording data taken time and effort,and data management standards were not standard,which couldn’t meet the actual needs of regional test production and management informatization of maize.A data acquisition system of maize phenotypic traits was constructed,which realized the rapid collection of maize phenotypic traits data and provided reference for the rapid acquisition of phenotypic traits information of other crops.The test results showed that,compared with manual recording method,the data acquisition system of maize phenotypic traits hand-held terminal APP could save time 70.8%,eliminated the process of photograph,data entry,professional rename,and improved the efficiency of data acquisition.The system had the characteristics of simple deployment,convenient operation,strong practicability,flexible setting and friendly interface,which could be extended to other types of crops and has a good application prospect.

Cite this article

ZANG Hecang, WANG Yanjing, ZHAO Qiaoli, LI Guoqiang, ZHENG Guoqing . Application of Data Acquisition System for Phenotypic Traits in Maize Regional Experiment[J]. Journal of Henan Agricultural Sciences, 2019 , 48(12) : 152 -156 . DOI: 10.15933/j.cnki.1004-3268.2019.12.023

References

[1]河南省统计局,国家统计局河南调查总队.河南统计年鉴[M].北京:中国统计出版社,2011.
2]河南省统计局,国家统计局河南调查总队.河南统计年鉴[M].北京:中国统计出版社,2012.
3]河南省统计局,国家统计局河南调查总队.河南统计年鉴[M].北京:中国统计出版社,2013.
4]河南省统计局,国家统计局河南调查总队.河南统计年鉴[M].北京:中国统计出版社,2014.
5]河南省统计局,国家统计局河南调查总队.河南统计年鉴[M].北京:中国统计出版社,2015.
6]中华人民共和国农业农村部种业管理司.农作物数据库[EB/OL].[2019-03-23].http://zzys.agri.gov.cn/nongqing.aspx.
7]李卫华.烟草品种区域试验管理系统开发[D].北京:中国农业科学院,2012.
8]吴存祥,李继存,沙爱华,等.国家大豆品种区域试验对照品种的生育期组归属[J].作物学报,2012,38(11):1977-1987.
9]盖钧镒,刘康,赵晋铭.中国作物种业科学技术发展的评述[J].中国农业科学,2015,48(17):3303-3315.
10]陈旭升,朱绍琳.计算机辅助棉花育种选择[J].江西棉花,2001,23(4):11-13.
11]刘建刚,赵春江,杨贵军,等.无人机遥感解析田间作物表型信息研究进展[J].农业工程学报,2016,32(24):98-106.
12]ARAUS J L,CAIRNS J E.Field highthroughput phenotyping: The new crop breeding frontier[J].Trends in Plant Science,2014,19(1):52-61.
13]官晓敏,杨中路,陈海峰,等.基于Excel VBA的区域试验考种数据录入系统的设计与应用[J].农学学报,2016,6(8):54-58.
14]王虎,杨耀华,李绍明,等.基于手持终端作物大田测试数据采集技术研究与实现[J].中国农业科技导报,2013,15(4):156-162.
15]赵新颖,罗坤.基于云计算的水稻区域试验信息采集系统设计[J].农机化研究,2019,41(2):229-232,237.
16]张士敏.物联网在水稻区域试验信息采集中的应用研究[J].农机化研究,2019,41(1):214-217.
17]赵巧丽,臧贺藏,李国强,等.基于Android的作物表型性状数据采集系统研究[J].河南农业科学,2019,48(8):175-180.
18]中华人民共和国农业行业标准.农作物品种试验技术规程(玉米)[S].北京:中华人民共和国农业部,2006.
19]赵新颖,罗坤.基于云计算的水稻区域试验信息采集系统设计[J].农机化研究,2019(2):229-237.
20]赵庆展,靳光才,周文杰,等.基于移动GIS的棉田病虫害信息采集系统[J].农业工程学报,2015,31(4):183-190.
21]黄锦,李绍明.基于手机的玉米育种田间数据采集系统设计[J].农机化研究,2014(6):193-197,201.
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