Study on the Dehydration Characteristics of Spring Maize after Physiological Maturity and the Suitable Period of Mechanical Grain Harvest

Author:

Liu Guohong1,Bian Qingyong23ORCID,Fu Yanbo1,Liu Yanyan2,Wei Yayuan2,Zhu Jinquan2,Wang Zhiguo2

Affiliation:

1. Institute of Soil Fertilizer and Agricultural Water Saving, Xinjiang Academy of Agricultural Sciences, Wulumuqi, 830091 Xinjiang, China

2. Baicheng Agricultural Experimental Station, Xinjiang Academy of Agricultural Sciences, Aksu, 8300914 Xinjiang, China

3. National Agricultura Experimental Station for Soil Quality Aksu, Aksu, 8300914 Xinjiang, China

Abstract

The high moisture content of seeds during harvesting results in a large amount of grain that breaks during mechanical harvesting, which becomes a key problem that hampers the promotion of mechanical grain harvesting technology. Maize in southern Xinjiang physiologically matures from early September to early October. In this study, 52 varieties of maize at different maturity stages were studied in 2019-2020 and were categorized in the order of physiological maturity time: early September (PD1), mid-September (PD2), late September (PD3), and early October (PD4). The goal of this study was to analyze the differences in content of kernel moisture at physiological maturity and the rate of dehydration after physiological maturity of varieties at different stages of maturity, so as to determine the suitable period for mechanical grain harvesting of maize at different stages of maturity. The results showed that the content of seed moisture at different maturity stages varied in a two-stage linear model, with periods of fast and slow dehydration. An analysis of variance (ANOVA) showed that the content of seed moisture at different stages of physiological maturity did not differ significantly ( P > 0.05 ).

Funder

Key Laboratory of Physiological Ecology and Cultivation of Desert Oasis Crops, Ministry of Agriculture

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference20 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3