Identification of endosperm and maternal plant QTLs for protein and lysine contents of rice across different environments

2009 ◽  
Vol 60 (3) ◽  
pp. 295 ◽  
Author(s):  
C. H. Shi ◽  
Y. Shi ◽  
X. Y. Lou ◽  
H. M. Xu ◽  
X. Zheng ◽  
...  
Keyword(s):  
Recombinant Inbred Lines ◽  
Interaction Effects ◽  
Rice Grain ◽  
Environment Interaction ◽  
Quality Traits ◽  
Maternal Plant ◽  
Nutrient Quality ◽  
Plant Genomes ◽  
Main Effects ◽  
Hybrid Cross

Using a newly developed mapping model with endosperm and maternal main effects and QTL × environment interaction effects on quantitative quality traits of seed in cereal crops, the investigation of quantitative trait loci (QTLs) located on triploid endosperm and diploid maternal plant genomes for protein content and lysine content of rice grain under different environments was carried out with two backcross (BC1F1 and BC2F1) populations from a set of 241 recombinant inbred lines derived from an elite hybrid cross of Shanyou 63. The results showed a total of 18 QTLs to be associated with these two quality traits of rice, which were subsequently mapped on chromosomes 2, 3, 5, 6, 7, 10, 11 and 12. Three of these QTLs were also found having QTL × environment interaction effects. Therefore, the genetic main effects from QTLs located on chromosomes in endosperm and maternal plant genomes and their QTL × environment interaction effects in different environments were all important for protein and lysine contents in rice. The influence of environmental factors on the expression of some QTLs located in different genetic systems could not be ignored for both nutrient quality traits.

Genetic main effect and genotype×environment interaction for cooking quality traits in a diallel set of Indica rice (Oryza sativa L.) varieties

2010 ◽  
Vol 61 (6) ◽  
pp. 475 ◽  
Author(s):  
Peyman Sharifi ◽  
Hamid Dehghani ◽  
Ali Moumeni ◽  
Mohammad Moghaddam
Keyword(s):  
Oryza Sativa ◽  
Field Experiments ◽  
Cooking Quality ◽  
Oryza Sativa L ◽  
Block Design ◽  
Environment Interaction ◽  
Quality Traits ◽  
Narrow Sense ◽  
Ge Interaction ◽  
Main Effects

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.

scholarly journals Capturing GEI Patterns for Quality Traits in Biparental Wheat Populations

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1022
Author(s):  
Ivana Plavšin ◽  
Jerko Gunjača ◽  
Ruđer Šimek ◽  
Dario Novoselović
Keyword(s):  
Genotype By Environment Interaction ◽  
Grain Protein Content ◽  
Environment Interaction ◽  
Quality Traits ◽  
Dominant Source ◽  
Genotype By Environment ◽  
Ammi Model ◽  
Superior Genotypes ◽  
Main Effects ◽  
Selection Of

Genotype-by-environment interaction (GEI) is often a great challenge for breeders since it makes the selection of stable or superior genotypes more difficult. In order to reduce drawbacks caused by GEI and make the selection for wheat quality more effective, it is important to properly assess the effects of genotype, environment, and GEI on the trait of interest. In the present study, GEI patterns for the selected quality and mixograph traits were studied using the Additive Main Effects and Multiplicative Interaction (AMMI) model. Two biparental wheat populations consisting of 145 and 175 RILs were evaluated in six environments. The environment was the dominant source of variation for grain protein content (GPC), wet gluten content (WGC), and test weight (TW), accounting for approximately 40% to 85% of the total variation. The pattern was less consistent for mixograph traits for which the dominant source of variation has been shown to be trait and population-dependent. Overall, GEI has been shown to play a more important role for mixograph traits compared to other quality traits. Inspection of the AMMI2 biplot revealed some broadly adapted RILs, among which, MG124 is the most interesting, being the prevalent “winner” for GPC and WGC, but also the “winner” for non-correlated trait TW in environment SB10.

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

Genotype-Environment Interaction for Quality Traits in Tomato Hybrids

2021 ◽  
Author(s):  
H. R. Bhandari ◽  
Kartikeya Srivastava ◽  
M. K. Tripathi ◽  
Babita Chaudhary ◽  
S. Biswas
Keyword(s):  
Environment Interaction ◽  
Quality Traits ◽  
Genotype Environment Interaction
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