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使用多特征主要成分选择指数来识别秋季军虫 (Spodoptera frugiperda) 耐药的玉米基因型

Wilber Wambi^1,2, Dan Makumbi³, Godfrey Asea⁴

¹African Centre of Excellence for Climate-Smart Agriculture and Biodiversity Conservation, Haramaya University, Dire Dawa, Ethiopia.

Frontiers in plant science

|April 11, 2025

概括

基于主要成分分析的指数有效地确定了耐秋季军虫 (FAW) 感染的玉米杂交. 基于PC1的指数改善了叶子养损害和谷物产量,帮助种植者选择优质的抗FAW玉米基因型.

科学领域:

农业科学农业科学
昆虫学昆虫学是一门学科.
植物育种植物育种

背景情况:

秋季军虫 (FAW), *Spodoptera frugiperda*,对撒哈拉以南非洲的玉米产量构成重大威胁,导致大量的收成损失.
开发宿主植物对FAW的耐药性是具有挑战性的,因为需要同时改进多个特征,使繁殖选择复杂化.
传统的选择方法可能不是最佳的复杂的特征改善在FAW耐药性繁殖.

研究的目的:

评估基于主要成分 (PC) 的多特征选择指数的有效性,以识别耐FAW的玉米基因型.
为了比较基于PC的两个指数 (PC1BI和PC2BI) 在最大限度地提高FAW阻力和谷物产量的选择收益方面的表现.

主要方法:

评估了192种玉米杂交品种和四个商业检查,在人工FAW感染下进行了四个季节的商业检查.
记录了叶子养损伤 (LD),耳朵损伤 (ED),耳朵腐烂 (ER) 和谷物产量 (GY) 的数据.
利用差异分析和PC分析来构建两个没有经济权重的选择指数:PC1BI和PC2BI.

主要成果:

这两个主要组成部分解释了玉米杂交品种之间97.1%的变化.
PC1BI在叶子养损害 (-2.92~-3.84%) 和谷物产量 (19.9%) 方面表现出优异的收益,确定了六种有前途的杂交物种.
对于耳朵损伤 (-11.1%) 和耳朵腐烂 (-45.4%),PC2BI显示出更大的收益,其中选择的混合物表现优于商业检查.

结论:

基于PC的选择指数,特别是PC1BI,是培养者增强FAW耐药性和玉米谷物产量的选择的宝贵工具.
开发的指数有效地在FAW感染下识别出优质玉米杂交.
未来的修改应纳入综合繁殖策略的额外农学和适应性特征.

关键词:

秋季军人虫秋季军人虫它们是花鸟 (Spodoptera frugiperda) 的种类.宿主植物的耐药性宿主植物的耐药性多特征选择多特征的选择.主要组件分析的主要组件分析选择获得的收益.没有权重的选择指数.

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