Screening Optimal Oat Varieties for Cultivation in Arid Areas in China: A Comprehensive Evaluation of Agronomic Traits

IF 3.3 2区 农林科学 Q1 AGRONOMY Agronomy-Basel Pub Date : 2023-08-29 DOI:10.3390/agronomy13092266
G. Wang, Huixin Xu, Hongyang Zhao, Yuguo Wu, X. Gao, Zheng Chai, Yuqing Liang, Xiaoke Zhang, Rong Zheng, Qian Yang, Yuan Li
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Abstract

This study was undertaken to identify oat (Avena sativa L.) varieties optimal for cultivation in the Jiuquan region, China, in 2021. A selection of 27 domestic and international oat varieties were analyzed, considering ten key agronomic traits, including plant height, stem diameter, spike length, leaf width, and yield. Employing methods such as cluster analysis, principal component analysis, and grey correlation degree, a comprehensive evaluation was conducted. The principal component analysis distilled the ten indicators to three core components. The most influential factors in the first principal component were plant height, ear length, and hay yield, while leaf length and leaf area index were the highest contributors to the second component. The stem-to-leaf ratio emerged as the principal indicator in the third component. The cluster analysis resulted in the classification of the 27 oat varieties into 3 categories. Following a comprehensive evaluation through the grey correlation degree and principal component analysis methodologies, we found that the oat varieties Sweety 1, Fuyan 1, Dingyan 2, Baler, Quebec, and Longyan 2 received the highest scores. These varieties, hence, appear to be the most suitable for cultivation and promotion in the Jiuquan region. This study thus provides invaluable insights into oat cultivation practices, offering guidance for farmers, agricultural policymakers, and future research in the field.
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中国干旱区燕麦品种筛选:农艺性状综合评价
本研究旨在确定2021年中国酒泉地区燕麦(Avena sativa L.)最佳栽培品种。从株高、茎粗、穗长、叶宽、产量等10个主要农艺性状入手,对27个国内外燕麦品种进行了分析。采用聚类分析、主成分分析、灰色关联度等方法进行综合评价。主成分分析将十个指标提炼为三个核心成分。对第一个主成分影响最大的因子是株高、穗长和干草产量,而对第二个主成分影响最大的因子是叶长和叶面积指数。茎叶比在第三组分中成为主要指标。聚类分析将27个燕麦品种划分为3类。通过灰色关联度和主成分分析方法进行综合评价,发现甜1号、扶岩1号、顶岩2号、巴勒、魁北克和龙岩2号燕麦品种得分最高。因此,这些品种似乎最适合在酒泉地区栽培和推广。因此,这项研究为燕麦种植实践提供了宝贵的见解,为农民、农业决策者和未来的研究提供了指导。
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来源期刊
Agronomy-Basel
Agronomy-Basel Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
6.20
自引率
13.50%
发文量
2665
审稿时长
20.32 days
期刊介绍: Agronomy (ISSN 2073-4395) is an international and cross-disciplinary scholarly journal on agronomy and agroecology. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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