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基于气候和青稞产量形成关键指标的青藏高原生态区划分析
Analysis of Qinghai-Tibet Plateau Ecological Zoning Based on Key Indicators Formed by Climate and Hulless Barley Yield
投稿时间:2022-10-05  修订日期:2022-11-29
DOI:
中文关键词:  青稞  产量指标  生态区划  气象条件  相关分析
英文关键词:hulless barley  agronomic trait  yield  meteorological factor  ecological regionalization
基金项目:国家重点研发项目(2019YFD1001701-4);国家大麦产业技术体系(CARS-05)
作者单位地址
陈鲁鹏 青海大学 青海省西宁市城北区宁大路251号
姚晓华  
姚有华  
安立昆  
白羿雄  
李新  
吴昆仑 青海大学
青海省农林科学院
青海省青稞遗传育种重点实验室/国家麦类改良中心青海青稞分中心 
青海省西宁市城北区宁大路251号
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中文摘要:
      为探究青藏高原地区间影响青稞产量的主要因素,对青藏高原青稞种植区进行生态区划,本研究以15个青藏高原主推青稞品种为试验材料,选取9个具有代表性的地区连续两年进行种植,测定株高、平均生育期和千粒重等8个青稞农艺性状指标;同时收集了9个地区的日照时数、降雨量和温差等8个气象数据,利用相关性分析、单因素方差分析、隶属函数分析对被测指标进行统计分析,筛选得到平均生育期、千粒重、平均最低温度和温差4个农艺、气象数据与产量显著相关,且它们在9个地区中均存在差异。通过聚类分析将9个地区划分为4个青稞种植生态区,其中第一类种植区综合表现最好。利用隶属函数分析对9个地区进行综合评价,其中贵南综合评价得分最高。同时,筛选出各生态区优势青稞品种。该研究结果为青稞高产评价体系的建立和生态区划奠定重要基础。
英文摘要:
      In order to explore the main factors affecting the yield of hulless barley among the Qinghai-Tibet Plateau regions, and to carry out ecological division of the hulless barley planting areas on the Qinghai-Tibet Plateau, this study took 15 hulless barley varieties of the Qinghai-Tibet Plateau as test materials, and selected nine representative regions for two consecutive years of planting. Eight agronomic traits of hulless barley, such as plant height, average growth period and thousand-grain weight, etc. were measured. At the same time, eight meteorological factors such as sunshine hours, rainfall and temperature difference, etc. were collected in nine regions. Correlation analysis, one-way ANOVA, and membership statistical analysis were performed on the measured indicators by function analysis, and four agronomic and meteorological factors, including average growth period, thousand grain weight, average minimum temperature and temperature difference, were significantly correlated with yield, and there were differences in nine regions. The nine regions were divided into 4 hulless barley planting regions by cluster analysis, among which the first type of planting area had the best comprehensive performance. The membership function analysis was used to conduct a comprehensive evaluation of nine regions, among which Guinan scored the highest comprehensive evaluation score. At the same time, the dominant hulless barley varieties in each ecological area were screened. The results of this study laid an important foundation for the establishment of hulless barley high-yield evaluation system and ecological area.
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