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稳定性分析和在多环境试验下的橄种植园中花期现象学参数的多路径选择

Jinhua Li^1,2, Dongxu Jia^1,2, Zhenyuan Zhou^1,2

¹State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.

Plants (Basel, Switzerland)

|July 12, 2025

概括

基因型与环境的相互作用显著影响橄的开花时间,环境因素比遗传学发挥更大的作用. 多特征选择确定了优越的橄基因型,以适应不同气候的适应性.

科学领域:

农业科学农业科学
植物育种植物育种
遗传学是一个遗传学.

背景情况:

花期对于果树的繁殖至关重要,特别是在橄种植中.
基因型与环境的相互作用 (GEI) 显著影响橄花的现象学.
了解GEI对于培育稳定的橄品种至关重要,特别是在非传统地区.

研究的目的:

调查影响中国西南地区橄开花现象学的GEI和遗传参数.
通过多特征选择方法确定稳定和高性能橄的基因型.
为不同气候条件下的橄品种计划提供见解.

主要方法:

评估了16种橄品种,跨越两年和中国西南地区的两个地区.
使用全开日期 (FBD),全开期长度 (FP) 和全开期长度 (FBP) 评估开花现象学.
最好的线性无偏预测 (BLUP) 和环境相互作用 (GGE) 基因型+基因型双图分析的应用,以及平均性能和稳定性 (MPS) 和多层平均性能和稳定性 (MTMPS) 指数.

主要成果:

基因型,环境和GEI显著影响了开花特征,GEI解释了54.12%至89.62%的变异.
低遗传性 (0.05890.262) 表明对开花现象学的遗传控制有限.
多特征选择确定了六种优越的基因型,在各种环境中表现出高性能和稳定性.

结论:

环境因素极大地影响橄花的现象学,这对培育稳定的特征构成了挑战.
多特征选择方法有效地识别出不同环境条件下的优质基因型.
研究结果为提高非地中海地区的橄种植适应性和生产力提供了有价值的见解.

关键词:

吉尔·吉尔·吉尔是什么意思在GGE-biplot中使用.在MPS中,MPS是MPS.在MTMPSPS中,使用的是MTMPS.多环境试验 (MET)橄树的开花现象学橄树的开花现象学绝对分数的加权平均值 (WAASB)

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