A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018

In this study, a comparative analysis of seed quality indicators of 1196 hybrid maize seed samples from the main maize-producing areas in China from 2013 to 2018 was carried out. The results showed that the maize seed quality in China had changed obviously in the past six years, and was mainly as fo...

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Main Authors: Heqin Li, Haiwang Yue, Li Li, Chengfu Su, Xiaowen Zhang, Jing Liu, Zhiyang Yu, Guangwu Zhao, Xiyun Song, Jianhua Wang, Xuwen Jiang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/9/10/625
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spelling doaj-fd410096ec2a449b8c31a812303d19e62021-04-02T13:34:21ZengMDPI AGAgronomy2073-43952019-10-0191062510.3390/agronomy9100625agronomy9100625A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018Heqin Li0Haiwang Yue1Li Li2Chengfu Su3Xiaowen Zhang4Jing Liu5Zhiyang Yu6Guangwu Zhao7Xiyun Song8Jianhua Wang9Xuwen Jiang10Dryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Farming Institute, Hebei Academy of Agriculture and Forestry Sciences, Hengshui 053000, ChinaSeed Science and Technology Research Center, China Agricultural University, Beijing 100193, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaCollege of Agriculture and Food Science, Zhejiang Agriculture and Forestry University, Lin’an 311300, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaDryland Technology Key Laboratory of Shandong Province, Qingdao Agricultural University, Qingdao 266109, ChinaIn this study, a comparative analysis of seed quality indicators of 1196 hybrid maize seed samples from the main maize-producing areas in China from 2013 to 2018 was carried out. The results showed that the maize seed quality in China had changed obviously in the past six years, and was mainly as follows: The percentage of samples with coated seed in 2015&#8722;2018 was higher than 62.8% in 2013 and all exceeded 97%; the sample rate of packaging according to seed number was from 24.5% in 2013 to 58.6% in 2018, and the percentage of samples which met the prescribed quality standards was from 89.2% in 2013 to 98.4% in 2018. Principal component analysis indicated that standard germination energy (SGE), standard germination percentage (SGP), cold test germination percentage (CTGP), accelerated aging test germination percentage (AATGP), and mean field seedling emergence (FSE) were the primary predictors of seed germination and seedling emergence. Meanwhile, combining other statistical methods, regression models of SGE, SGP, CTGP, and AATGP were established to predict the field seedling emergence. Furthermore, seed bulk density and total starch content were correlated with seed vigor, which needs to be further studied. This study offered a theoretical basis and data support to better understand the changes of maize quality in China over the past six years, and provided an important reference to further improve the maize seed quality in the future.https://www.mdpi.com/2073-4395/9/10/625maizeseed qualityseed vigorgerminationmarket researchchina
collection DOAJ
language English
format Article
sources DOAJ
author Heqin Li
Haiwang Yue
Li Li
Chengfu Su
Xiaowen Zhang
Jing Liu
Zhiyang Yu
Guangwu Zhao
Xiyun Song
Jianhua Wang
Xuwen Jiang
spellingShingle Heqin Li
Haiwang Yue
Li Li
Chengfu Su
Xiaowen Zhang
Jing Liu
Zhiyang Yu
Guangwu Zhao
Xiyun Song
Jianhua Wang
Xuwen Jiang
A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
Agronomy
maize
seed quality
seed vigor
germination
market research
china
author_facet Heqin Li
Haiwang Yue
Li Li
Chengfu Su
Xiaowen Zhang
Jing Liu
Zhiyang Yu
Guangwu Zhao
Xiyun Song
Jianhua Wang
Xuwen Jiang
author_sort Heqin Li
title A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
title_short A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
title_full A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
title_fullStr A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
title_full_unstemmed A Comparative Analysis of the Hybrid Maize (<i>Zea mays</i> L.) Seed Quality in China from 2013 to 2018
title_sort comparative analysis of the hybrid maize (<i>zea mays</i> l.) seed quality in china from 2013 to 2018
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2019-10-01
description In this study, a comparative analysis of seed quality indicators of 1196 hybrid maize seed samples from the main maize-producing areas in China from 2013 to 2018 was carried out. The results showed that the maize seed quality in China had changed obviously in the past six years, and was mainly as follows: The percentage of samples with coated seed in 2015&#8722;2018 was higher than 62.8% in 2013 and all exceeded 97%; the sample rate of packaging according to seed number was from 24.5% in 2013 to 58.6% in 2018, and the percentage of samples which met the prescribed quality standards was from 89.2% in 2013 to 98.4% in 2018. Principal component analysis indicated that standard germination energy (SGE), standard germination percentage (SGP), cold test germination percentage (CTGP), accelerated aging test germination percentage (AATGP), and mean field seedling emergence (FSE) were the primary predictors of seed germination and seedling emergence. Meanwhile, combining other statistical methods, regression models of SGE, SGP, CTGP, and AATGP were established to predict the field seedling emergence. Furthermore, seed bulk density and total starch content were correlated with seed vigor, which needs to be further studied. This study offered a theoretical basis and data support to better understand the changes of maize quality in China over the past six years, and provided an important reference to further improve the maize seed quality in the future.
topic maize
seed quality
seed vigor
germination
market research
china
url https://www.mdpi.com/2073-4395/9/10/625
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