scholarly journals Estimating variance components and heritabilities in the wild: a case study using the 'animal model' approach

2000 ◽  
Vol 13 (5) ◽  
pp. 804-813 ◽  
Author(s):  
Milner ◽  
Pemberton ◽  
Brotherstone ◽  
Albon
Keyword(s):  
Animal Model ◽  
Variance Components ◽  
In The Wild ◽  
Model Approach

130 Utilization of Nutrack to Assess Variance Components and Heritability of Activity Traits

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 17-17
Author(s):  
Lexi M Ostrand ◽  
Melanie D Trenhaile-Grannemann ◽  
Garrett See ◽  
Ty B Schmidt ◽  
Eric Psota ◽  
...  
Keyword(s):  
Animal Model ◽  
Mixed Models ◽  
Variance Components ◽  
Average Speed ◽  
Genetic Variances ◽  
Sow Longevity ◽  
Selection Decisions ◽  
Recorded Data ◽  
Residual Variances ◽  
And Behavior

Abstract Overall activity and behavior are integral components of sows remaining productive in the herd. This investigation studied overall activity of group housed replacement gilts and the heritability of various activity traits. Beginning around 20 wk of age, video recorded data of approximately 75 gilts/group for a total of 2,378 gilts over 32 groups was collected for 7 consecutive d using the NUtrack System, which tracks distance travelled (m), avg speed (m/s), angle rotated (degrees), and time standing (s), sitting (s), eating (s), and laying (s). The recorded phenotypes were standardized to the distribution observed within a pen for each group. The final values used for analysis were the average daily standardized values. Data were analyzed using mixed models (RStudio V 1.2.5033) including effects of sire, dam, dam’s sire and dam, dam’s grandsire and granddam, farrowing group, barn, pen, and on-test date. Sire had an effect on every activity trait P < 0.001), and dam had an effect on average speed (P < 0.001). The dam’s sire had an effect on all activity traits (P < 0.001) and the dam’s grandsire had an effect on average speed (P < 0.001). Heritabilities and variance components of activity traits were estimated in ASReml 4 using an animal model with a two-generation pedigree. Genetic variances are 0.17 +/- 0.029, 0.19 +/- 0.034, and 0.11 +/- 0.024, residual variances are 0.37 +/- 0.023, 0.41 +/- 0.027, and 0.41 +/- 0.022, phenotypic variances are 0.54 +/- 0.018, 0.60 +/- 0.020, and 0.52 +/- 0.016, and heritabilities are 0.32 +/- 0.048, 0.32 +/- 0.049, and 0.21 +/- 0.044 for average speed, distance, and lie respectively. NUtrack offers potential to aid in selection decisions. Given the results presented herein, continued investigation into these activity traits and their association with sow longevity is warranted.

scholarly journals Magnitude integration in the Archerfish

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tali Leibovich-Raveh ◽  
Ashael Raveh ◽  
Dana Vilker ◽  
Shai Gabay
Keyword(s):  
Animal Model ◽  
Grocery Store ◽  
The Body ◽  
Water Tank ◽  
Comparison Task ◽  
Magnitude Comparison ◽  
Mathematical Abilities ◽  
In The Wild ◽  
Numerical Magnitudes ◽  
Shortest Queue

AbstractWe make magnitude-related decisions every day, for example, to choose the shortest queue at the grocery store. When making such decisions, which magnitudes do we consider? The dominant theory suggests that our focus is on numerical quantity, i.e., the number of items in a set. This theory leads to quantity-focused research suggesting that discriminating quantities is automatic, innate, and is the basis for mathematical abilities in humans. Another theory suggests, instead, that non-numerical magnitudes, such as the total area of the compared items, are usually what humans rely on, and numerical quantity is used only when required. Since wild animals must make quick magnitude-related decisions to eat, seek shelter, survive, and procreate, studying which magnitudes animals spontaneously use in magnitude-related decisions is a good way to study the relative primacy of numerical quantity versus non-numerical magnitudes. We asked whether, in an animal model, the influence of non-numerical magnitudes on performance in a spontaneous magnitude comparison task is modulated by the number of non-numerical magnitudes that positively correlate with numerical quantity. Our animal model was the Archerfish, a fish that, in the wild, hunts insects by shooting a jet of water at them. These fish were trained to shoot water at artificial targets presented on a computer screen above the water tank. We tested the Archerfish's performance in spontaneous, untrained two-choice magnitude decisions. We found that the fish tended to select the group containing larger non-numerical magnitudes and smaller quantities of dots. The fish selected the group containing more dots mostly when the quantity of the dots was positively correlated with all five different non-numerical magnitudes. The current study adds to the body of studies providing direct evidence that in some cases animals’ magnitude-related decisions are more affected by non-numerical magnitudes than by numerical quantity, putting doubt on the claims that numerical quantity perception is the most basic building block of mathematical abilities.

Reciprocal Mentoring "In The Wild"

2011 ◽  
pp. 280-297 ◽  
Author(s):  
M. Brooke Robertshaw ◽  
Heather Leary ◽  
Andrew Walker ◽  
Kristy Bloxham ◽  
Mimi Recker
Keyword(s):  
Preservice Teachers ◽  
Learning Environments ◽  
Content Knowledge ◽  
Comparative Case Study ◽  
Transfer Of Knowledge ◽  
Pedagogical Content ◽  
Technology Knowledge ◽  
In The Wild ◽  
Online Learning Resources

For teachers in the 21st Century it has become critical that they develop the skills to be able to teach in a world that is being transformed by technological innovations. These skills include effectively teaching in blended learning environments with high-quality online learning resources available on the internet. Chief among the challenges faced by these teachers is that mid- and late career teachers, unlike preservice teachers, do not have adequate technology knowledge. A challenge for pre-service teachers is that they do not have the pedagogical and content knowledge to be able to effectively implement their technology knowledge in the classroom. This retrospective comparative case study was undertaken to understand reciprocal mentoring (RM) relationships that can occur between in-service teachers and pre-service teachers during implementation of a technology based lesson. The transfer of knowledge between the members of the RM dyad is described through the lens of technological pedagogical content knowledge.

Estimates of heritabilities of Canadian Holstein conformation traits by threshold model

1991 ◽  
Vol 71 (3) ◽  
pp. 629-632 ◽  
Author(s):  
J. Jamrozik ◽  
L. R. Schaeffer ◽  
E. B. Burnside ◽  
B. P. Sullivan
Keyword(s):  
Animal Model ◽  
Em Algorithm ◽  
Variance Components ◽  
Fixed Effects ◽  
Threshold Model ◽  
Model Data ◽  
Stage Of Lactation ◽  
Continuous Scale ◽  
Type Traits ◽  
Holstein Population

Sire variances for 30 conformation traits on Canadian Holsteins were estimated on the underlying continuous scale using a single trait threshold linear model. Data were linearized first classifications on 66 617 cows by 3305 sires, classified since February 1988. The model included a random sire effect and fixed effects of herd-round of classification-classifier, age at classification and stage of lactation at classification. Sires were assumed unrelated in this study. Variance components for sires were estimated by REML EM algorithm. Estimates of heritabilities were generally larger than those currently used in genetic evaluation for type traits in Canadian Holstein population. The new heritabilities are recommended for use in a traditional linear animal model procedure. Key words: Variance components, threshold model, type traits

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