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吴应齐, 姚理武, 吴丽芳, 吴伟玮, 叶增新, 陈吴伟. 不同藜麦品种(系)在浙西南地区的适应性评价[J]. 浙江林业科技, 2021, 41(6): 30-36. DOI: 10.3969/j.issn.1001-3776.2021.06.005
引用本文: 吴应齐, 姚理武, 吴丽芳, 吴伟玮, 叶增新, 陈吴伟. 不同藜麦品种(系)在浙西南地区的适应性评价[J]. 浙江林业科技, 2021, 41(6): 30-36. DOI: 10.3969/j.issn.1001-3776.2021.06.005
WU Ying-qi, YAO Li-wu, WU Li-fang, WU Wei-wei, YE Zeng-xin, CHEN Wu-wei. Adapatation Evaluation of Different Cultivars of Chenopodium quinoa in Southwest Zhejiang[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(6): 30-36. DOI: 10.3969/j.issn.1001-3776.2021.06.005
Citation: WU Ying-qi, YAO Li-wu, WU Li-fang, WU Wei-wei, YE Zeng-xin, CHEN Wu-wei. Adapatation Evaluation of Different Cultivars of Chenopodium quinoa in Southwest Zhejiang[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(6): 30-36. DOI: 10.3969/j.issn.1001-3776.2021.06.005

不同藜麦品种(系)在浙西南地区的适应性评价

Adapatation Evaluation of Different Cultivars of Chenopodium quinoa in Southwest Zhejiang

  • 摘要: 为了筛选适宜浙西南地区种植的藜麦Chenopodium quinoa品种(系),对收集的‘陇藜1号’‘陇藜3号’‘冀藜1号’‘冀藜2号’‘青藜4号’、红藜、72号、65号8个藜麦品种(系)的农艺性状、抗倒伏性状和生产性状等指标进行考察,采用相关性分析、主成分分析和聚类分析对其适应性进行综合评价。结果表明,8个藜麦品种(系)皆能在浙西南地区正常成熟,生育期在106 ~ 125 d之间;对15个性状进行相关性分析表明,藜麦产量与单株产量、株高、第一有效分枝高呈显著正相关(P<0.05),与倒伏率呈极显著负相关(P<0.01);从15个性状主成分分析提取的3个主成分的累计贡献率达86.62%;根据主成分综合评价,红藜的综合得分最高,综合评价最优,‘冀藜1号’次之,红藜、‘冀藜1号’具有较大的开发利用潜力,可在与研究地周边生态环境相似的浙西南地区推广;在遗传距离为5时,将8个品系分为4个类群,其中第Ⅳ类群为红藜,植株高大,抗倒伏性状、产量性状最佳,第Ⅲ类群为‘陇藜3号’,植株矮小,保存率差,产量性状差。以上研究结果为浙西南地区藜麦种植及藜麦产业发展提供候选品种(系)。

     

    Abstract: In April 2020, interplanting of 8 cultivars of Chenopodium quinoa was implemented in young Camellia olefera stand in Qingyuan county, Zhejiang province. Observation and determination was carried out on their agronomic traits, lodging resistance and production traits. The results showed that 8 cultivars could grow normally in Qingyuan, with growth period of 106-125 days. Correlation analysis on 15 traits showed that seed yield had significantly positive relation with single plant yield, height and the height of the first effective branch (P<0.05), but extremely significant negative relation with lodging rate (P<0.01). The cumulative contribution rate of 3 principal components from 15 characters by principal component analysis was 86.62%. Comprehensive evaluation of principal components demonstrated ‘Hongli’ had the highest score and the best adaptability and followed by ‘Jili No. 1’. 8 cultivars could be divided into 4 groups at genetic distance of 5.

     

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