Multiscale strategies for describing environment effects: From solvents to biomatrices

2022 ◽  
pp. 263-279
Author(s):  
Benedetta Mennucci
Keyword(s):  
1974 ◽  
Vol 35 (C4) ◽  
pp. C4-207-C4-212 ◽  
Author(s):  
F. GAUTIER ◽  
F. BROUERS ◽  
J. VAN DER REST

2021 ◽  
Vol 154 (22) ◽  
pp. 224102
Author(s):  
Romana Petry ◽  
Bruno Focassio ◽  
Gabriel R. Schleder ◽  
Diego Stéfani T. Martinez ◽  
Adalberto Fazzio

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903


1992 ◽  
Vol 46 (16) ◽  
pp. 10432-10436 ◽  
Author(s):  
J. Dorantes-Da´vila ◽  
H. Dreysse´ ◽  
G. M. Pastor

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