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花生产量与主要农艺性状、品质性状的灰色关联度分析

焦灰敏 桑玉伟 何宗铃 水涌 朱金成 王睿 王志军 马盼盼 王亮

北方农业学报2024,Vol.52Issue(6):22-30,9.
北方农业学报2024,Vol.52Issue(6):22-30,9.DOI:10.12190/j.issn.2096-1197.2024.06.03

花生产量与主要农艺性状、品质性状的灰色关联度分析

Analysis of grey correlation degree between peanut yield and major agronomic and quality traits

焦灰敏 1桑玉伟 1何宗铃 1水涌 1朱金成 2王睿 2王志军 2马盼盼 2王亮2

作者信息

  • 1. 新疆生产建设兵团第一师农业科学研究所,新疆 阿拉尔 843300
  • 2. 新疆农垦科学院生物技术研究所,新疆石河子 832000
  • 折叠

摘要

Abstract

[Objective]To screen for high-yield and high-quality new peanut varieties suitable for planting in southern Xinjiang.[Methods]With 19 newly introduced Huayu series of peanut varieties as the test materials,major agronomic trait were investigated,and yield traits,quality traits were determined.Variability,correlation,gray correlation degree and cluster analysis were performed for all tested varieties.[Results]The main stem height,lateral branch length,number of pod branch,100-pod weight and 100-kernel weight were significantly positively correlated with the yield of the tested varieties(P<0.05),the correlation coefficients were 0.518,0.509,0.508,0.646 and 0.649,respectively.The top 5 rank of grey correlation degree were main stem height>lateral branch length>100-pod weight>number of pod branch>100-kernel weight.In the cluster analysis,the overall traits of the class I were better,the main stem height,lateral branch length,total number of branch,number of pod branch,100-pod weight,100-kernel weight,single plant productivity and yield were higher than those of the other three classes.[Conclusion]The main stem height,lateral branch length,100-pod weight,number of pod branch,100-kernel weight have a great influence on peanut yield,and can be used as reference indicators for peanut introduction screening and high-yield breeding.

关键词

花生/农艺性状/品质性状/产量/灰色关联度分析

Key words

Peanut/Agronomic traits/Quality traits/Yield/Gray correlation degree analysis

分类

农业科技

引用本文复制引用

焦灰敏,桑玉伟,何宗铃,水涌,朱金成,王睿,王志军,马盼盼,王亮..花生产量与主要农艺性状、品质性状的灰色关联度分析[J].北方农业学报,2024,52(6):22-30,9.

基金项目

新疆维吾尔自治区重大科技专项(2022A02008-3) (2022A02008-3)

新疆油料产业技术体系建设专项(XJARS-05) (XJARS-05)

新疆农垦科学院科技创新团队建设项目(NCG202303) (NCG202303)

新疆生产建设兵团第一师阿拉尔市农业科技攻关计划项目(2023NY03,2022NY15) (2023NY03,2022NY15)

北方农业学报

OACSTPCD

2096-1197

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