scholarly journals ON FATIGUE-CREEP-ENVIRONMENT INTERACTION AND THE FEASIBILITY OF FATIGUE MAPS

Fracture 84 ◽  
1984 ◽  
pp. 127-142 ◽  
Author(s):  
N.Y. Tang ◽  
H.H.E. Leipholz ◽  
D.M.R. Taplin
Keyword(s):  
Environment Interaction

A physiological model of cybersickness during virtual environment interaction

2005 ◽  
Author(s):  
W. Kendal Roberts ◽  
Jennie J. Gallimore
Keyword(s):  
Virtual Environment ◽  
Physiological Model ◽  
Environment Interaction

Gene-Environment Interaction in the Determination of Levels of Haemostatic Variables Involved in Thrombosis and Fibrinolysis

1997 ◽  
Vol 78 (01) ◽  
pp. 457-461 ◽  
Author(s):  
S E Humphries ◽  
A Panahloo ◽  
H E Montgomery ◽  
F Green ◽  
J Yudkin
Keyword(s):  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Gene Environment

TO THE EXPERIMENTAL CONFIRMATION OF THE HYPOTHESIS ABOUT AN ECO-GENETIC NATURE OF THE PHENOMENON GENOTYPE * ENVIRONMENT INTERACTION FOR WOODY PLANTS

2018 ◽  
Vol 53 (1) ◽  
pp. 151-156 ◽  
Author(s):  
V.A. Dragavtsev ◽  
◽  
I.A. Dragavtseva ◽  
I.L. Efimova ◽  
A.P. Kuznetsova ◽  
...  
Keyword(s):  
Woody Plants ◽  
Experimental Confirmation ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Genetic Nature

Genotype-Environment Interaction in Calf Production. II. Live Measurements and Carcass Traits

1973 ◽  
Vol 36 (3) ◽  
pp. 471-475 ◽  
Author(s):  
T. R. Batra ◽  
W. R. Usborne ◽  
D. G. Grieve ◽  
E. B. Burnside
Keyword(s):  
Carcass Traits ◽  
Environment Interaction ◽  
Genotype Environment Interaction

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

Sign in / Sign up

Export Citation Format

Share Document