Molecular Marker‐Assisted Dissection of Genotype × Environment Interaction for Plant Type Traits in Rice ( Oryza sativa L.)

Crop Science ◽  
1999 ◽  
Vol 39 (2) ◽  
pp. 538-544 ◽  
Author(s):  
Juqiang Yan ◽  
Jun Zhu ◽  
Cixin He ◽  
Mebrouk Benmoussa ◽  
Ping Wu
2017 ◽  
Vol 18 (3) ◽  
pp. 415
Author(s):  
B. L. Thaware ◽  
S. S. Karande ◽  
J. S. Dhakale ◽  
S. G. Bhave ◽  
M. M. Burondkar

2019 ◽  
Vol 11 (31) ◽  
pp. 1-10
Author(s):  
ali sattari ◽  
mahmoud soloki ◽  
nadali bagheri ◽  
beratali fakheri ◽  
alireza nabipour ◽  
...  

2014 ◽  
Vol 40 (12) ◽  
pp. 2128 ◽  
Author(s):  
Ling ZHANG ◽  
Xiao-Nan LI ◽  
Wei WANG ◽  
Sheng-Long YANG ◽  
Qing LI ◽  
...  
Keyword(s):  

2012 ◽  
Vol 12 (1) ◽  
pp. 137 ◽  
Author(s):  
Balram Marathi ◽  
Smriti Guleria ◽  
Trilochan Mohapatra ◽  
Rajender Parsad ◽  
Nagarajan Mariappan ◽  
...  

2010 ◽  
Vol 61 (6) ◽  
pp. 475 ◽  
Author(s):  
Peyman Sharifi ◽  
Hamid Dehghani ◽  
Ali Moumeni ◽  
Mohammad Moghaddam

Genetic main effects and genotype × environment (GE) interactions were determined for cooking quality traits of rice (Oryza sativa L.) using a complete diallel cross of seven. The field experiments were carried out over 2 years as a randomised complete block design with two replications. Amylose content (AC), gel consistency (GC) and gelatinisation temperature (GT) were affected by both genetic effects and GE interaction. Grain elongation (GEL) was found to be controlled by genetic main effects and general combining ability (GCA) × environment interaction. The high magnitude of GCA variances for all traits indicated that additive effects were more prominent in the determination of these characteristics. Narrow-sense heritabilities for AC, GT, GC and GEL were 61.21, 60.83, 29.98 and 52.29%, respectively. Among the genetic and GE interaction effects, GCA and GCA × environment were the main components for all traits. Relatively large narrow-sense heritabilities for AC, GT and GEL indicated that selection for these traits could be possible. However, due to the significance of genotype × year effects for AC, GT, and GEL genetic materials should be evaluated over several years in breeding programs.


2020 ◽  
Vol 49 (3) ◽  
pp. 425-435
Author(s):  
BM Dushyantha Kumar ◽  
AP Purushottam ◽  
P Raghavendra ◽  
T Vittal ◽  
KN Shubha ◽  
...  

Effects of genotype, environment and their interaction for grain yield and yield attributing characters in 20 advanced breeding lines of rice across six environments was investigated. Yield stability and adaptability of yield performance were analyzed by Eberhart and Russel model and (GGE) bi-plot. The AMMI analysis of variance indicated that mean squares due to genotypes, location and genotype location contributed per cent 59.08, 5.79 and 21.63, respectively for total variability in grain yield per hectare. Estimates of GGE bi-plot revealed that the lines G1, G3, G11, G13, G15, G12, G16, G7 and G10 were positioned near GGL bi-plot origin indicating wider adaptation for the trait grain yield per hectare. Eberhart and Russel Model and GGE biplot model showed the advanced breeding lines viz., JB 1-11-7 (G1) and JA 6-2 (G15) exhibited wider adaptability across the tested environments for number of productive tillers per plant and yield per hectare.


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