scholarly journals Analysis of Genotype-by-Environment Interaction for Agronomic Traits of Durum Wheat in Iran

2011 ◽  
Vol 14 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Reza Mohammadi ◽  
Mohammad Armion ◽  
Davood Sadeghzadeh ◽  
Ahmed Amri ◽  
Miloud Nachit
Keyword(s):  
Durum Wheat ◽  
Agronomic Traits ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment

Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Ammi Model ◽  
The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

Effect of genotype, environment and genotype-by-environment interaction on metabolite profiling in durum wheat (Triticum durum Desf.) grain

2013 ◽  
Vol 57 (2) ◽  
pp. 183-192 ◽  
Author(s):  
Romina Beleggia ◽  
Cristiano Platani ◽  
Franca Nigro ◽  
Pasquale De Vita ◽  
Luigi Cattivelli ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Metabolite Profiling ◽  
Triticum Durum ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Triticum Durum Desf

scholarly journals Recurrent selection in inbred popcorn families

2004 ◽  
Vol 61 (6) ◽  
pp. 609-614 ◽  
Author(s):  
Máskio Daros ◽  
Antônio Teixeira do Amaral Jr. ◽  
Messias Gonzaga Pereira ◽  
Fabrício Santana Santos ◽  
Ana Paula Cândido Gabriel ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Recurrent Selection ◽  
Agronomic Traits ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Small Scale ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Randomized Complete Block Design ◽  
Superior Genotypes

Although much appreciated in Brazil, commercial popcorn is currently cropped on a fairly small scale. A number of problems need to be solved to increase production, notably the obtaintion of seeds with good agronomic traits and good culinary characteristics. With the objective of developing superior genotypes in popcorn, a second cycle of intrapopulation recurrent selection based on inbred S1 families was carried out. From the first cycle of selection over the UNB-2U population, 222 S1 families were obtained, which were then divided into six sets and evaluated in a randomized complete block design with two replications within the sets. Experiments were carried out in two Brazilian localities. The analysis of variance revealed environmental effects for all evaluated traits, except popping and stand, showing that, for most traits, these environments affected genotype behavior in different ways. In addition, the set as source of variation was significant for most of the evaluated traits, indicating that dividing the families into sets was an efficient strategy. Genotype-by-environment interaction was detected for most traits, except popping expansion and stand. Differences among genotypes were also detected (1% F-test), making viable the proposition of using the genetic variability in the popcorn population as a basis for future recurrent selection cycles. Superior families were selected using the Smith and Hazel classic index, with predicted genetic gains of 17.8% for popping expansion and 26.95% for yield.

scholarly journals EFFECTS OF GENOTYPE-BY-ENVIRONMENT INTERACTION ON THE MAIN AGRONOMIC TRAITS OF MAIZE HYBRIDS

2020 ◽  
Vol 18 (1) ◽  
pp. 1437-1458 ◽  
Author(s):  
H.W. YUE ◽  
Y.B. WANG ◽  
J.W. WEI ◽  
Q.M. MENG ◽  
B.L. YANG ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment

scholarly journals A Study on Genotype-by-Environment Interaction Analysis for Agronomic Traits of Maize Genotypes Across Huang-Huai-Hai Region in China

Phyton ◽  
2022 ◽  
Vol 91 (1) ◽  
pp. 57-81
Author(s):  
Haiwang Yue ◽  
Jianwei Wei ◽  
Junliang Xie ◽  
Shuping Chen ◽  
Haicheng Peng ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Interaction Analysis ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Maize Genotypes

Pattern analysis of genotype-by-environment interaction for grain yield in durum wheat

2009 ◽  
Vol 147 (5) ◽  
pp. 537-545 ◽  
Author(s):  
R. MOHAMMADI ◽  
A. AMRI ◽  
R. HAGHPARAST ◽  
D. SADEGHZADEH ◽  
M. ARMION ◽  
...  
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Pattern Analysis ◽  
Genotype By Environment Interaction ◽  
Interaction Matrix ◽  
Environment Interaction ◽  
Yield Data ◽  
Breeding Lines ◽  
Cold Environments ◽  
Genotype By Environment

SUMMARYPattern analysis, cluster and ordination techniques, was applied to grain yield data of 20 durum wheat genotypes grown in 19 diversified environments during 2005–07 to identify patterns of genotype (G), environment (E) and genotype-by-environment (G×E) interaction in durum multi-environment trials (METs). Main effects due to E, G and G×E interaction were highly significant, and 0·85 of the total sum of squares (SS) was accounted for by E. Of the remaining SS, the G×E interaction was almost 12 times the contribution of G alone. The knowledge of environmental and genotype classification helped to reveal several patterns of G×E interaction. This was verified by ordination analysis of the G×E interaction matrix. Grouping of environments, based on genotype performance, resulted in the separation of different types of environments. Pattern analysis confirmed the cold and warm mega-environments, and allowed the discrimination and characterization of adaptation of genotypes. However, several patterns of G×E interaction in Iran's regional durum yield trials were further discerned within these mega-environments. The warm environments tended to be closer to one another, suggesting that they discriminate among durum genotypes similarly, whereas cold environments tended to diverge more. The dwarf and early maturing breeding lines from ICARDA with low to medium yields and high contribution to G×E interaction were highly adapted to warm environments, whereas the tall and later maturing genotypes with low to high yields were highly adapted to the cold environments of Iran.

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