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农学学报 ›› 2026, Vol. 16 ›› Issue (3): 33-39.doi: 10.11923/j.issn.2095-4050.cjas2025-0182

• 林学 园艺 园林 食用菌 • 上一篇    下一篇

蓝莓杂交F1代主要农艺性状的相关及通径分析

杨洪涛(), 杨燕林, 和加卫, 杨正松, 苏泽春(), 余莹   

  1. 云南省农业科学院高山经济植物研究所, 云南丽江 674100
  • 收稿日期:2025-09-24 修回日期:2025-11-19 出版日期:2026-03-20 发布日期:2026-03-19
  • 通讯作者:
    苏泽春,男,1977年出生,副研究员,硕士,主要从事高山经济植物栽培及种质资源评价。E-mail:
  • 作者简介:

    杨洪涛,女,1982年出生,副研究员,硕士,主要从事小浆果育种及栽培技术研究。E-mail:

  • 基金资助:
    云南省重大科技专项“低纬高原优势落叶果树基因资源挖掘利用与新品种选育”(202302AE090005); 国家自然科学基金“2种云南越桔的遗传多样性及居群遗传结构分析”(32160695); 兰坪县农业技术推广中心和加卫基层科研工作站; 丽江市高原特色农业项目“蓝莓叶片营养诊断技术研究及示范”(2025LJSNK49)

Correlation and Path Analysis of Main Agronomic Traits in Blueberry Hybrid F1 Generation

YANG Hongtao(), YANG Yanlin, HE Jiawei, YANG Zhengsong, SU Zechun(), YU Ying   

  1. Alpine Economic Plant Research Institute, Yunnan Academy of Agricultural Sciences, Lijiang, Yunnan 674100
  • Received:2025-09-24 Revised:2025-11-19 Online:2026-03-20 Published:2026-03-19

摘要:

为明确蓝莓杂种F1代主要农艺性状与单株产量的关联机制,挖掘高产育种核心指标,为自主知识产权蓝莓新品种选育提供科学依据,本研究以21个蓝莓杂交F1代株系为材料,测定13个农艺性状,采用相关分析、通径分析、主成分分析及多元线性回归等方法,系统探究性状间关系及对单株产量的影响。相关分析结果表明,地径(X4)与单株产量呈显著相关关系,东西冠幅(X1)、南北冠幅(X2)、叶数(X5)、坐果枝数(X10)、坐果总数(X11)均与单株产量呈极显著正相关关系,其他性状间存在不同程度的相关性。通径分析结果表明,各指标对单株产量的贡献由大到小为坐果总数(X11)>单果重(X8)>果实纵径(X7)>南北冠幅(X2)>百果重(X9)>坐果枝数(X10)>东西冠幅(X1)>株高(X3)>果实横径(X6)>平均每果枝坐果数(X12)>地径(X4)>叶数(X5)。多元线性回归通过降维,将12个农艺性状变成以果实纵径(X7)、单果重(X8)、坐果总数(X11)为代表的新变量,新变量调整后的决定系数为0.971,所构建的回归方程Y=-0.4091-0.0057X7+0.2177X8+0.0022X11能够较好地解释各相关因素对单株产量的影响。蓝莓杂种F1代坐果总数(X11)均与单株产量呈极显著正相关,直接通径系数排在前3位的依次是坐果总数(X11)、单果重(X8)、果实纵径(X7),用这3个性状能较好地解释各相关因素对单株产量的影响,在对蓝莓杂交F1代选择中,可适当放宽坐果总数、单果重、果实纵径的选择标准。29-2-2、33-30-A、30-29-B的F值分别为1.99、1.65、0.96,综合得分居前3位。综上所述,蓝莓杂交F1代高产育种应优先关注坐果总数、单果重和果实纵径3个性状,筛选出的3个优良株系可作为重点育种材料,研究结果为蓝莓杂交育种的性状选择提供了量化依据。

关键词: 蓝莓, 杂种F1代, 单株产量, 相关分析, 通径分析, 多元线性回归, 主成分分析

Abstract:

Correlation and path analysis of major agronomic traits and yield-related characteristics in blueberry F1 hybrids were conducted to clarify the characteristics and relationships between key agronomic traits and per-plant yield. This study aimed to explore the heterosis potential of blueberry hybrids and provide a reference for formulating appropriate breeding objectives. Using 21 blueberry hybrid progenies as test materials, 13 agronomic traits were investigated under subtropical climatic conditions. Correlation analysis revealed that stem diameter (X4) exhibited a significant positive correlation with per-plant yield, while east-west canopy width (X1), north-south canopy width (X2), leaf number (X5), fruiting branch number (X10), and total fruit set (X11) showed highly significant positive correlations with yield. Other traits displayed varying degrees of correlation. Path analysis indicated that the contribution of each trait to per-plant yield ranked as follows: total fruit set (X11)> single-fruit weight (X8) > fruit longitudinal diameter (X7)> north-south canopy width (X2)> hundred-fruit weight (X9)> fruiting branch number (X10)> east-west canopy width (X1)> plant height (X3)> fruit transverse diameter (X6)> average fruit set per branch (X12)> stem diameter (X4)> leaf number (X5). Through dimensionality reduction via multiple linear regression, 12 agronomic traits were consolidated into new variables represented by fruit longitudinal diameter (X7), single-fruit weight (X8), and total fruit set (X11). The adjusted coefficient of determination for these new variables reached 0.971, and the established regression equation Y=-0.4091-0.0057X7+0.2177X8+0.0022X11 effectively explained the influence of relevant factors on per-plant yield. Total fruit set (X11) of blueberry F1 hybrids demonstrated a highly significant positive correlation with yield, and the top three direct path coefficients were ranked as total fruit set (X11), single-fruit weight (X8), and fruit longitudinal diameter (X7). These three traits adequately explained the impact of correlated factors on yield. During the selection of blueberry F1 hybrids, the selection criteria for total fruit set, single-fruit weight, and fruit longitudinal diameter could be appropriately relaxed. Lines 29-2-2, 33-30-A and 30-29-B exhibited F-values of 1.99, 1.65 and 0.96, respectively, achieving the top three comprehensive scores and warranting further investigation.

Key words: blueberry, F1 hybrids, per-plant yield, correlation analysis, path analysis, multiple linear regression, principal component analysis