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中国农学通报 ›› 2022, Vol. 38 ›› Issue (6): 26-30.doi: 10.11924/j.issn.1000-6850.casb2021-0396

所属专题: 生物技术 油料作物

• 农学·农业基础科学 • 上一篇    下一篇

新疆塔里木盆地东南缘花生主要农艺性状的分析与综合评价

董红业1(), 徐婷2, 刘文豪1, 李强3(), 柳延涛1()   

  1. 1新疆农垦科学院物作研究所,新疆石河子 832000
    2石河子大学农学院,新疆石河子 832003
    3新疆农业科学院经济作物所,乌鲁木齐 830091
  • 收稿日期:2021-04-14 修回日期:2021-08-09 出版日期:2022-02-25 发布日期:2022-03-16
  • 通讯作者: 李强,柳延涛
  • 作者简介:董红业,女,1989年出生,甘肃武威人,硕士研究生,农艺师,主要从事花生高产栽培技术研究。通信地址:832000 新疆石河子市乌伊公路221号,Tel:0993-6683523,E-mail: 644212760@qq.com
  • 基金资助:
    新疆第二师铁门关科技攻关项目“塔里木盆地东南缘花生绿色丰产关键技术研究与示范”(2019NYGG13);兵团民生实事“提升农业科技水平”项目—塔里木盆地东南缘花生优质高效生产技术示范推广和花生国家产业技术体系乌鲁木齐试验站(CARS-13)

Peanut in the Southeastern Margin of Tarim Basin of Xinjiang: Analysis and Comprehensive Evaluation of Main Agronomic Traits

DONG Hongye1(), XU Ting2, LIU Wenhao1, LI Qiang3(), LIU Yantao1()   

  1. 1Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang 832000
    2Agricultural College of Shihezi University, Shihezi, Xinjiang 832003
    3Institute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091
  • Received:2021-04-14 Revised:2021-08-09 Online:2022-02-25 Published:2022-03-16
  • Contact: LI Qiang,LIU Yantao

摘要:

本研究旨在筛选出新疆塔里木盆地东南缘花生引种中对产量贡献率较大的影响因子,为该地区花生引种和育种提供依据。以新疆塔里木盆地东南缘引进的20个国内主栽花生品种为材料,采用DPS对产量与农艺性状进行灰色关联度分析和聚类分析。9个农艺性状与产量的灰色关联度大小排序为分枝长>百果重>百仁重>饱果率>主茎高>出仁率>总分枝数>结果枝数>单株总果数,其中分枝长、百果重、百仁重、饱果率、主茎高等与产量的关联度高,说明在品种筛选上应注重分枝长和百果重等指标的选择;聚类分析可将20个引进花生品种分为3类,其中第Ⅲ类具有主茎高、分支长、果大、仁大、产量好等优良的农艺性状,适合在新疆塔里木盆地东南缘种植,也进一步印证了花生籽粒大小与产量相关性。

关键词: 新疆, 花生, 农艺性状, 产量, 灰色关联度, 聚类分析

Abstract:

The aim of the study is to select the key factors affecting the contribution rate of peanut yield in cultivar introduction to the southeastern margin of Tarim Basin of Xinjiang, and to provide evidence for peanut introduction and breeding in this area. 20 main domestic peanut cultivars introduced to the southeastern margin of Tarim Basin of Xinjiang were taken as the test materials, and the yield and agronomic traits were analyzed by grey correlation analysis and cluster analysis using DPS software. Grey correlation between 9 agronomic traits and the yield was in an order of lateral branch length > 100-pod weight > 100-grain weight > plump pod percentage > plant height > shelling percentage > branch number per plant > effective branch number > pod number per plant, in which, the first five indexes had a high correlation with the yield, indicating that these indexes should be emphasized in the variety selection. The 20 introduced peanut cultivars were divided into 3 groups by cluster analysis, among them, group Ⅲ had excellent agronomic traits, such as plant height, lateral branch length, 100-pod weight and 100-grain weight and so on, which were suitable for planting in the southeastern margin of Tarim Basin in Xinjiang. The study also proved the positive correlation between grain size and peanut yield.

Key words: Xinjiang, peanut, agronomic traits, yield, grey correlation degree, cluster analysis

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