scholarly journals MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information: Table 1.

2016 ◽  
Vol 32 (9) ◽  
pp. 1420-1422 ◽  
Author(s):  
S. H. Lee ◽  
J. H. J. van der Werf
Keyword(s):  
Efficient Algorithm ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Model Analysis ◽  
Genomic Information ◽  
Mixed Model Analysis ◽  
Linear Mixed Model Analysis

Size-related boldness is not altered by stomach flushing in a terrestrial salamander

2021 ◽  
pp. 1-6
Author(s):  
Sebastiano Salvidio ◽  
Andrea Costa ◽  
Fabrizio Oneto
Keyword(s):  
Body Condition ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Animal Personality ◽  
Model Analysis ◽  
Mixed Model Analysis ◽  
Linear Mixed Model Analysis ◽  
Before And After ◽  
Trophic Strategy ◽  
The Relationship

Abstract Animal personality is a relatively neglected field in amphibian research. In this study we assessed the influence of stomach flushing, a non-lethal technique used in amphibian dietary studies, on the boldness behaviour of the cave salamander Speleomantes strinatii. The time of emergence from a shelter located in an unfamiliar environment (a proxy for individual boldness) was measured in 26 cave salamanders before and after stomach flushing, while 14 non-flushed salamanders were tested as controls. Boldness was a repeatable behaviour for salamanders and larger individuals emerged from their shelter more rapidly than smaller ones. Linear mixed model analysis showed that flushing, sex and body condition had no effect on this behaviour. These findings are promising in the framework of the study of salamander personality. In particular, our results will be useful when exploring the relationship between individual trophic strategy and boldness, aggression or exploration behaviours in terrestrial salamanders.

Association between sleep disturbance and nocturnal blood pressure profiles by a linear mixed model analysis: the Nagahama study

2019 ◽  
Vol 61 ◽  
pp. 104-109 ◽  
Author(s):  
Takeshi Matsumoto ◽  
Yasuharu Tabara ◽  
Kimihiko Murase ◽  
Kazuya Setoh ◽  
Takahisa Kawaguchi ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Disturbance ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Model Analysis ◽  
Mixed Model Analysis ◽  
Linear Mixed Model Analysis ◽  
Nocturnal Blood Pressure ◽  
Pressure Profiles

scholarly journals Investigating the appropriate mode of expressing lysine requirement of fish through non-linear mixed model analysis and multilevel analysis

2012 ◽  
Vol 109 (6) ◽  
pp. 1013-1021 ◽  
Author(s):  
Katheline Hua
Keyword(s):  
Multilevel Analysis ◽  
Dietary Protein ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Model Analysis ◽  
Dietary Factors ◽  
Fish Nutrition ◽  
Mixed Model Analysis ◽  
Linear Mixed Model Analysis ◽  
Non Linear

Accurate estimates of lysine requirement are essential to fish feed formulation. However, controversy exists regarding the most appropriate mode to express lysine requirement. In the fish nutrition literature, essential amino acid (AA) requirement has been expressed as a percentage of diet, a percentage of dietary crude protein or a ratio to dietary digestible energy (DE). The controversy lies in the different assumptions regarding the effects of dietary protein and DE on lysine requirement. Non-linear mixed model analysis and multilevel analysis were carried out to investigate whether dietary protein or DE affected lysine requirement of fish. The non-linear mixed model analysis suggests that expressing lysine requirement as a percentage of dietary protein provides a better goodness of fit to the modelling dataset than expressing requirement as a fixed concentration of diet, which in turn is generally better than expressing requirement as a ratio to DE. Results from the multilevel analysis confirm that dietary protein content has a significant effect on lysine requirement, while DE does not. The findings of the present study could contribute to a better understanding of the underlying dietary factors that affect AA requirements of fish. The results of the present study could also be useful for developing nutritional guidelines and feed formulations for fish.

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