Genotype by environment interaction analysis of growth of Picea koraiensis families at different sites using BLUP-GGE

Author(s):  
Juanjuan Ling ◽  
Yao Xiao ◽  
Jiwen Hu ◽  
Fude Wang ◽  
Fangqun Ouyang ◽  
...  
2020 ◽  
pp. 1-15
Author(s):  
Aliya Momotaz ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
P.H. McCord ◽  
Hardev S. Sandhu ◽  
...  

2019 ◽  
Vol 252 ◽  
pp. 298-309
Author(s):  
Julia Angelini ◽  
Gabriela Soledad Faviere ◽  
Eugenia Belén Bortolotto ◽  
Luis Arroyo ◽  
Gabriel Hugo Valentini ◽  
...  

2021 ◽  
Vol 53 (4) ◽  
pp. 609-619
Author(s):  
B. Tembo

Understanding genotype by environment interaction (GEI) is important for crop improvement because it aids in the recommendation of cultivars and the identification of appropriate production environments. The objective of this study was to determine the magnitude of GEI for the grain yield of wheat grown under rain-fed conditions in Zambia by using the additive main effects and multiplicative interaction (AMMI) model. The study was conducted in 2015/16 at Mutanda Research Station, Mt. Makulu Research Station and Golden Valley Agricultural Research Trust (GART) in Chibombo. During2016/17, the experiment was performed at Mpongwe, Mt. Makulu Research Station and GART Chibombo, Zambia. Fifty-five rain-fed wheat genotypes were evaluated for grain yield in a 5 × 11 alpha lattice design with two replications. Results revealed the presence of significant variation in yield across genotypes, environments, and GEI indicating the differential performance of genotypes across environments. The variance due to the effect of environments was higher than the variances due to genotypes and GEI. The variances ascribed to environments, genotypes, and GEI accounted for 45.79%, 12.96%, and 22.56% of the total variation, respectively. These results indicated that in rain-fed wheat genotypes under study, grain yield was more controlled by the environment than by genetics. AMMI biplot analysis demonstrated that E2 was the main contributor to the GEI given that it was located farthest from the origin. Furthermore, E2 was unstable yet recorded the highest yield. Genotype G47 contributed highly to the GEI sum of squares considering that it was also located far from the origin. Genotypes G12 and G18 were relatively stable because they were situated close to the origin. Their position indicated that they had minimal interaction with the environment. Genotype 47 was the highest-yielding genotype but was unstable, whereas G34 was the lowest-yielding genotype and was unstable.


2016 ◽  
Vol 40 (5) ◽  
pp. 867-876 ◽  
Author(s):  
Gleison Augusto Santos ◽  
Andrei Caíque Pires Nunes ◽  
Marcos Deon Vilela Resende ◽  
Luciana Duque Silva ◽  
Antonio Higa ◽  
...  

ABSTRACT The present study aimed to evaluate the genetic control and genotype-by-environment interaction in wood weight of Eucalyptus clones in four environments located in the state of Rio Grande do Sul, Brazil, aiming to select superior genotypes. In 2007, a network of clonal tests was established with 864 clones of Eucalyptus. At three years of age, diameter at breast height and total height were measured, as was depth of Pilodyn penetration, for indirect inference of wood basic density. The mean annual increment of dry weight (MAIweight) was calculated. Individual heritability of 0.148 and of 0.48 was found for MAIweight and Pilodyn penetration depth, respectively. The genetic correlation between environments ranged from 0.503 to 0.926 for all traits. The genotype-by-environment interaction was significant for the MAIweight index (0.533). From the environment interaction analysis, 3 "improvement areas" were defined for the trait MAIweight. The grouping of the traits wood density and volume to create a wood weight index was essential for a more accurate selection, since there was a change of 37% compared to the ranking of clones for volume. The simultaneous selection for stability and adaptability provided higher gains when compared to selection based on predicted genotypic values between environments. Moreover, MHPRVG allowed an increase in gains compared to the control. Thus, the five best clones were selected based on these criteria: 39912 (E. urophylla), 39659 (E. urophylla), 6808 (E. grandis), 36190 (E. saligna), 39407 (E. grandis x E. urophylla).


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