scholarly journals A new approach for investigation of person–environment interaction effects in research involving health outcomes

2018 ◽  
Vol 16 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Björn Slaug ◽  
Susanne Iwarsson ◽  
Jonas Björk
Keyword(s):  
Health Outcomes ◽  
Interaction Effects ◽  
Environment Interaction ◽  
New Approach

Epistatic Effects and QTL×Environment Interaction Effects of QTLs for Yield and Agronomic Traits in Soybean

2014 ◽  
Vol 40 (1) ◽  
pp. 37
Author(s):  
Hui-Zhen LIANG ◽  
Yong-Liang YU ◽  
Hong-Qi YANG ◽  
Hai-Yang ZHANG ◽  
Wei DONG ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Interaction Effects ◽  
Environment Interaction ◽  
Epistatic Effects

scholarly journals The potential of transformative video design for improving caregiver’s wellbeing

2021 ◽  
Vol 8 (1) ◽  
pp. 205510292110090
Author(s):  
Milica Petrovic ◽  
Andrea Gaggioli
Keyword(s):  
Health Outcomes ◽  
Narrative Identity ◽  
Meaning Making ◽  
Informal Caregivers ◽  
The Self ◽  
Design Technique ◽  
New Approach ◽  
Role Transformation

The existing interventions for informal caregivers assist with managing health outcomes of the role burden. However, the deeper meaning-making needs of informal caregivers have been generally neglected. This paper reflects on the meaning-making needs of informal caregivers, through the theory of narrative identity, and proposes a new approach – the Transformative Video Design technique delivered via video storytelling. Transformative Video Design assists informal caregivers to re-create a cohesive caregiving story and incorporate it into the narrative identity. The technique is used as a stimulus for triggering the self-re-structure within the narrative identity and facilitating role transformation.

Application of physiological understanding in soybean improvement. I. Understanding phenological constraints to adaptation and yield potential

2011 ◽  
Vol 62 (1) ◽  
pp. 1 ◽  
Author(s):  
R. J. Lawn ◽  
A. T. James
Keyword(s):  
Seed Yield ◽  
Environmental Control ◽  
Thermal Environment ◽  
Sowing Date ◽  
Companion Paper ◽  
Interaction Effects ◽  
Yield Potential ◽  
Environment Interaction ◽  
Sowing Dates ◽  
Eastern Australia

The purpose of this paper and its companion1 is to describe how, in eastern Australia, soybean improvement, in terms of both breeding and agronomy, has been informed and influenced over the past four decades by physiological understanding of the environmental control of phenology. This first paper describes how initial attempts to grow soybean in eastern Australia, using varieties and production practices from the southern USA, met with limited success due to large variety × environment interaction effects on seed yield. In particular, there were large variety × location, variety × sowing date, and variety × sowing date × density effects. These various interaction effects were ultimately explained in terms of the effects of photo-thermal environment on the phenology of different varieties, and the consequences for radiation interception, dry matter production, harvest index, and seed yield. This knowledge enabled the formulation of agronomic practices to optimise sowing date and planting arrangement to suit particular varieties, and underpinned the establishment of commercial production in south-eastern Queensland in the early 1970s. It also influenced the establishment and operation over the next three decades of several separate breeding programs, each targeting phenological adaptation to specific latitudinal regions of eastern Australia. This paper also describes how physiological developments internationally, particularly the discovery of the long juvenile trait and to a lesser extent the semi-dwarf ideotype, subsequently enabled an approach to be conceived for broadening the phenological adaptation of soybeans across latitudes and sowing dates. The application of this approach, and its outcomes in terms of varietal improvement, agronomic management, and the structure of the breeding program, are described in the companion paper.

Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysisThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.

Genome ◽  
2010 ◽  
Vol 53 (11) ◽  
pp. 1002-1016 ◽  
Author(s):  
B.R. Cullis ◽  
A.B. Smith ◽  
C.P. Beeck ◽  
W.A. Cowling
Keyword(s):  
Pedigree Information ◽  
Environment Interaction ◽  
Correlation Matrices ◽  
New Approach ◽  
Genome Wide ◽  
Selection Indices ◽  
New Varieties ◽  
Oilseed Brassicas ◽  
Analytic Models ◽  
Selection Of

Exploring and exploiting variety by environment (V × E) interaction is one of the major challenges facing plant breeders. In paper I of this series, we presented an approach to modelling V × E interaction in the analysis of complex multi-environment trials using factor analytic models. In this paper, we develop a range of statistical tools which explore V × E interaction in this context. These tools include graphical displays such as heat-maps of genetic correlation matrices as well as so-called E-scaled uniplots that are a more informative alternative to the classical biplot for large plant breeding multi-environment trials. We also present a new approach to prediction for multi-environment trials that include pedigree information. This approach allows meaningful selection indices to be formed either for potential new varieties or potential parents.

Breed and breed × environment interaction effects for growth traits and survival rate from birth to weaning in crossbred lambs1

2012 ◽  
Vol 90 (12) ◽  
pp. 4239-4247 ◽  
Author(s):  
J. Osorio-Avalos ◽  
H. H. Montaldo ◽  
M. Valencia-Posadas ◽  
H. Castillo-Juárez ◽  
R. Ulloa-Arvizu
Keyword(s):  
Survival Rate ◽  
Growth Traits ◽  
Interaction Effects ◽  
Environment Interaction

scholarly journals Detecting CSSLs and yield QTLs with additive, epistatic and QTL×environment interaction effects from Oryza sativa × O. nivara IRGC81832 cross

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Divya Balakrishnan ◽  
Malathi Surapaneni ◽  
Venkateswara Rao Yadavalli ◽  
Krishnam Raju Addanki ◽  
Sukumar Mesapogu ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Interaction Effects ◽  
Environment Interaction
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