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1981年,Rosielle和Hamblin在《作物科学》杂志上提出了恶劣环境下耐性选择效果的检定方法。他们指出:一般而沦,在恶劣环境下耐性的选择将导致平均产量的减少,而在恶劣抑或非恶劣环境下,平均生产率的选择则将增加产量。Rosielle和Hamblin的方法是可取的,然而此法局限于单变元(即产量)情况。在大多数情况下,育种工作者所面临的是多性状问题,特别是负相关性状问题。这是因为重要的农艺性状间常呈负相关关系,譬如,在苜蓿研究中,产量和蛋白质含量之间就是负相关关系。虽然在文献里也有许多方法可用来作为性状选择的工具,但是这些方法在不同环境中的选择成效却缺乏系统性的比较。我们用典型相关的方法把Rosielle和Hamblin的方法推广到多变元情况。在恶劣环境下关于主要生产率和耐性的效应选择检定公式均已导出。这些公式可作为比较多性状选择方法的标准。
In 1981, Rosielle and Hamblin in the “CropScience” magazine put forward the test method of tolerance selection effect in harsh environment. They point out that, generally speaking, the choice of tolerance in harsh environments will lead to a decrease in average yield, while in poor or non-harsh environments the choice of average productivity will increase output. The method of Rosielle and Hamblin is preferable, however, this method is limited to univariate (ie, yield) conditions. In most cases, breeders face many traits, especially negative traits. This is because there is often a negative correlation between important agronomic traits. For example, in alfalfa studies, there is a negative correlation between yield and protein content. Although there are many methods in the literature that can be used as tools for trait selection, there is a lack of systematic comparisons of the effectiveness of these methods in different settings. We extend Rosielle and Hamblin’s approach to multivariate cases in a typically relevant way. The effect selection test formulas for major productivity and endurance in harsh environments have been derived. These formulas can be used as a standard to compare multiple trait selection methods.