Stress avoidance and adaptation

Plant Biology ◽  
2021 ◽  
pp. 158-162
Author(s):  
Andrew Lack ◽  
David Evans
Keyword(s):  
1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1121-1122
Author(s):  
Edward A. Workman ◽  
Mariano F. La Via

18 subjects were measured on cell-mediated immunity (T lymphocyte polyclonal proliferation) and four behavioral indices including over-all life stress, stress-avoidance tendency, stress-intrusion tendency, and tendency toward cardiovascular Type A behavior. Of Pearson correlations computed between T lymphocyte polyclonal proliferation and each of the four behavioral indices, the only significant value was that, .47, between T cell immunity and tendency toward stress avoidance. Of the variables investigated, the best predictor of T cell immunocompetence is the tendency toward avoiding stress. Results are discussed in terms of implications for research.


Author(s):  
Anya Lunden

Multiple languages avoid stressing the first of two vowels in hiatus. Evidence that this avoidance has a perceptual basis is shown by the results of a perceptual study. Antepenultimate and penultimate stress versions of 40 three-syllable Norwegian nonce words were played to English listeners, who were asked to identify whether stress was on the first or second syllable. It was found that listeners had significantly more trouble correctly identifying penultimate stress in cases of hiatus (that is, where the penultimate vowel was immediately followed by the vowel of the final syllable). Steriade (2012, 2017) has proposed that Interval Theory accounts for the lack of stress in this position because the weight domain is too small to fulfill the requirement to bear stress. While this account is compatible with the perceptual account proposed here, an examination of the possible weight domains of the stimuli used finds a problem for Interval Theory. The onset of a stressed syllable is found to significantly lengthen, but because Interval Theory takes this consonant to be part of the preceding, unstressed interval, interval durations are out of sync with the relative prominence of the weight domains in a word.


2012 ◽  
Vol 35 (2) ◽  
pp. 88-89 ◽  
Author(s):  
Jason Grotuss

AbstractFincher & Thornhill (F&T) present a model of in-group assortative sociality resulting from differing levels of parasite-stress in differing geographical locations in the United States and the world. Their model, while compelling, overlooks some important issues, such as mutualistic associations with parasites that are beneficial to humans and how some religious practices increase parasite risk.


Ecotoxicology ◽  
2020 ◽  
Vol 29 (5) ◽  
pp. 594-606 ◽  
Author(s):  
Leticia Rodrigues Alves ◽  
Emilaine Rocha Prado ◽  
Reginaldo de Oliveira ◽  
Elcio Ferreira Santos ◽  
Ivana Lemos de Souza ◽  
...  

2001 ◽  
Vol 22 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Christiane Werner ◽  
Ronald J. Ryel ◽  
Otília Correia ◽  
Wolfram Beyschlag
Keyword(s):  

Author(s):  
Matthieu Bogard ◽  
Delphine Hourcade ◽  
Benoit Piquemal ◽  
David Gouache ◽  
Jean-Charles Deswartes ◽  
...  

Abstract Wheat phenology allows escape from seasonal abiotic stresses including frosts and high temperatures, the latter being forecast to increase with climate change. The use of marker-based crop models to identify ideotypes has been proposed to select genotypes adapted to specific weather and management conditions and anticipate climate change. In this study, a marker-based crop model for wheat phenology was calibrated and tested. Climate analysis of 30 years of historical weather data in 72 locations representing the main wheat production areas in France was performed. We carried out marker-based crop model simulations for 1019 wheat cultivars and three sowing dates, which allowed calculation of genotypic stress avoidance frequencies of frost and heat stress and identification of ideotypes. The phenology marker-based crop model allowed prediction of large genotypic variations for the beginning of stem elongation (GS30) and heading date (GS55). Prediction accuracy was assessed using untested genotypes and environments, and showed median genotype prediction errors of 8.5 and 4.2 days for GS30 and GS55, respectively. Climate analysis allowed the definition of a low risk period for each location based on the distribution of the last frost and first heat days. Clustering of locations showed three groups with contrasting levels of frost and heat risks. Marker-based crop model simulations showed the need to optimize the genotype depending on sowing date, particularly in high risk environments. An empirical validation of the approach showed that it holds good promises to improve frost and heat stress avoidance.


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