Positive Indirect Effects of Biotic- and Abiotic-mediated Changes in Plant Traits on Herbivory

Author(s):  
Masahiro Nakamura
2017 ◽  
Vol 26 (8) ◽  
pp. 963-972 ◽  
Author(s):  
Maximilian G. R. Vollstädt ◽  
Stefan W. Ferger ◽  
Andreas Hemp ◽  
Kim M. Howell ◽  
Till Töpfer ◽  
...  

1970 ◽  
Vol 21 ◽  
pp. 138-142
Author(s):  
M. R. Kozachenko ◽  
K. V. Kompanets ◽  
S. I. Sviatchenko

Aim. The aim of research was to determine pair correlation and path coefficients of traits and to identify on their basis contributions of different quantitative traits in the main feature – ‘grain yield. Methods. Eleven 11 spring barley varieties were investigated: ‘Dzherelo’, ‘Zvershennia’, ‘Etyket’, ‘Badioryy’, ‘Vzirets’, ‘Hranal’, ‘Modern’, ‘Vitrazh’, ‘Pasadena’, ‘Tolar’, and ‘Maliovnychyy’. We analyzed 50 plants of each variety for 11 quantitative traits. The pair correlation coefficients between quantitative traits were calculated by the BA Dospehov method; path analysis was conducted as AI Sedlovskiy et al described by the S. Wright method. Results. Path analysis revealed that the correlation between plant traits and yield depended both on direct and on indirect effects of each trait on the yield capacity. We established causes of varying correlations between yield and other plant traits. Conclusions. Different pair correlations between yield and plant traits were found. Path analysis of the yield capacity demonstrated that the correlation values between the yield and 11 quantitative traits ambivalently depended both on direct and indirect effects of a trait on the yield and on indirect effects of other traits. The direct effect of a trait on the yield does not always unambiguously affect the pair correlation coefficient. The following traits were of the greatest breeding value: lodging resistance and grain weight/straw weight ratio. Keywords: spring barley, varieties, yield and trait, correlation coefficient, path analysis.


2016 ◽  
Vol 37 (2) ◽  
pp. 128-134 ◽  
Author(s):  
Elizabeth B. Lozano ◽  
Mahzad Hojjat ◽  
Judith Sims-Knight

Abstract. The present study examined the relationship between resilience and positive outcomes in friendships of young adults. SEM and bootstrapping analyses were performed to test whether positive emotions mediate the relationship between ego-resilience and enhanced friendship outcomes. Findings revealed indirect effects for friendship closeness, maintenance behaviors, and received social support. Our findings demonstrate the importance of positive emotions and its connection with trait resilience in the realm of friendships.


2010 ◽  
Vol 15 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Mette M. Aanes ◽  
Maurice B. Mittelmark ◽  
Jørn Hetland

This paper investigated whether the lack of social connectedness, as measured by the subjective feeling of loneliness, mediates the well-known relationship between interpersonal stress and psychological distress. Furthermore, a relationship between interpersonal stress and somatic symptoms was hypothesized. The study sample included 3,268 women and 3,220 men in Western Norway. The main findings were that interpersonal stress was significantly related to psychological distress as well as to somatic symptoms, both directly and indirectly via paths mediated by loneliness. The size of the indirect effects varied, suggesting that the importance of loneliness as a possible mediator differs for depressive symptoms, anxiety symptoms, and somatic symptoms. In the case of depressive symptoms, more than 75% of the total effect was mediated through loneliness, while in the case of somatic symptoms just over 40% of the total effect was mediated through loneliness. This study supports the hypotheses that social connectedness mediates a relationship between interpersonal stress and psychological distress. The study also provides the first link between interpersonal stress, as measured by the Bergen Social Relationships Scale, and somatic symptoms, extending earlier research on the relationship between interpersonal stress and psychological distress.


2020 ◽  
Vol 129 (3) ◽  
pp. 237-247 ◽  
Author(s):  
Hsin-An Chang ◽  
Wen-Hui Fang ◽  
Yia-Ping Liu ◽  
Nian-Sheng Tzeng ◽  
Jia-Fwu Shyu ◽  
...  

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