Path coefficient analysis of the effects of stripe rust and cultivar mixtures on yield and yield components of winter wheat

Abstract

Four club wheat cultivars and three two-component cultivar mixtures, planted at five frequencies, were grown in three environments in both the presence and absence of stripe rust. The effect of stripe rust on wheat yield was through the yield components, with weight of individual seed being the component most affected by rust. In some cases, yield component compensation was indicated by the presence of negative correlations among the yield components. Path analysis of the yield components revealed that components with the highest correlations to yield also had the largest direct effects on yield. Of the yield components, number of heads per unit area exerted the largest direct influence on yield. The direct effects of number of seeds per head and weight of individual seed were similar, although number of seeds per head was more important in the absence of rust than in its presence. The pure stands and mixtures differed considerably with respect to correlation coefficients, but were very similar for direct effects of yield components on yield. Most of these discrepancies were due to opposing indirect effects, which were not evident from correlation coefficients alone.

Increasing Hard Winter Wheat Yield Potential via Synthetic Wheat: I. Path‐Coefficient Analysis of Yield and Its Components

“…Direct effects of yield components on yield were similar for all locations. Most discrepancies between locations were caused by indirect opposing effects, which is similar to findings of Akanda and Mundt (1996).…”

A designer rice NLR immune receptor confers resistance to the rice blast fungus carrying noncorresponding avirulence effectors

“…Generally, plant individual NLR receptors confer resistance only to pathogens carrying the corresponding Avr effectors but not to pathogens lacking the corresponding Avr effectors ( 6 , 31 ). Thus, many investigations have been undertaken to explore the ways to develop broad spectrum resistance or multilines with distinct resistance profiles ( 2 – 5 , 31 ). A promising approach is to engineer plant target proteins of Avr effectors or the IDs of NLR receptors that determine recognition specificity to pathogens ( 32 , 33 ).…”

“…To avert the resistance erosion, several strategies have been proposed, including the utilization of broad, race spectrum–resistant cultivars and multilines, each of which carries a distinct R protein capable of recognizing corresponding Avr proteins in the pathogens ( 2 , 3 ). Multiline cultivars have been well demonstrated in managing stripe rust and the powdery mildew of wheat ( 4 , 5 ). However, cultivars with broad race spectrum resistance are very limited, and breeding multilines is time-consuming, expensive, and laborious.…”

Correlation, Regression and Path Analyses of Seed Yield Components in <i>Crambe abyssinica</i>, a Promising Industrial Oil Crop

“…Regression helps to estimate the functional relationship between variables or the relationship between the independent and dependent variables [15]. Path coefficient analysis is a very important statistical tool that can be used to obtain an indication of which variables exert an influence on other variables, while recognizing the multicolinearity [18,19]. Path-coefficient analysis has been useful in determining selection criteria in a number of crops, such as crested wheat grass [18], maize [20] and rice [21].…”