scholarly journals Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

2019 ◽  
Vol 60 (2) ◽  
pp. 127-135 ◽  
Author(s):  
Jan Bocianowski ◽  
Tomasz Warzecha ◽  
Kamila Nowosad ◽  
Roman Bathelt
Keyword(s):  
Hordeum Vulgare ◽  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Gene Effects ◽  
Genotype By Environment ◽  
Ammi Model

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

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)

scholarly journals The measurement and interpretation of genotype by environment interaction in spring barley (Hordeum vulgare)

Heredity ◽  
1986 ◽  
Vol 56 (2) ◽  
pp. 255-262 ◽  
Author(s):  
W Powell ◽  
P D S Caligari ◽  
M S Phillips ◽  
J L Jinks
Keyword(s):  
Hordeum Vulgare ◽  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment

scholarly journals Genotype by Environment Interactions for Yield-Related Traits in Tunisian Barley (Hordeum vulgare L.) Accessions Under a Semiarid Climate

2021 ◽  
Vol 73 (4) ◽  
Author(s):  
Marzougui Salem
Keyword(s):  
Hordeum Vulgare ◽  
Heading Date ◽  
Arid Environment ◽  
Genotype By Environment Interaction ◽  
Breeding Program ◽  
Environment Interaction ◽  
Phenotypic Analysis ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Semiarid Climate

Genotype by environment interaction and stability analyses are among the most important evaluations conducted in plant breeding. In this study, we evaluated the yield-related traits of 32 Tunisian barley (<em>Hordeum vulgare </em>L.) accessions over three consecutive cropping seasons in a semi-arid environment. Phenotypic analysis identified heading date and spike length as the two major traits contributing most to the total phenotypic variation under a semiarid climate. Hierarchical clustering grouped the 32 accessions into four groups. Although the effect of the interaction between genotype and environment was important for yield (48%), it had comparatively little influence on heading date (9.9%) and plant height (8.14%). Stability analysis identified the djebali accession, with the smallest coefficient of variability, as a stable genotype across the three assessed environments. Overall, based on the higher yield and small coefficient of variance, we selected 11 promising genotypes. In addition, varieties developed by the Tunisian breeding program were found to show high mean yield, stability across all environments, and greater adaptability. Accessions with superior adaptation and stability will be introduced into the national breeding program for further evaluation and characterization.

scholarly journals The Influence of Genotype and Environment on Arabinoxylan and Beta-glucan Contents in Grain of Spring Barley (Hordeum vulgare L.)

2014 ◽  
Vol 62 (3) ◽  
pp. 553-560 ◽  
Author(s):  
Pavel Macháň ◽  
Jaroslava Ehrenbergerová ◽  
Radim Cerkal ◽  
Karolína Benešová ◽  
Kateřina Vaculová
Keyword(s):  
Hordeum Vulgare ◽  
Spring Barley ◽  
Limiting Factors ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Beta Glucan ◽  
Fungicide Treatment ◽  
Spring Variety ◽  
Beta Glucans ◽  
Growing Environment

Arabinoxylan and beta-glucan contents are limiting factors for a wider use of barley production. Arabinoxylan and beta-glucan contents were assessed in grain samples in sets of seven malting hulled varieties, three hull-less lines and one hull-less spring variety grown in the localities of Branišovice, Žabčice, and Kroměříž in 2009 to 2011. Further, the effect of growing technologies on the level of these non-starch polysaccharides was studied. Variability of arabinoxylan contents was affected most significantly by a genotype and growing technology whereas variability of beta-glucan contents was mostly affected by a genotype and growing environment (interaction of year with locality). The highest values of arabinoxylans and beta-glucans were determined in the grain samples of hull-less lines (KM 1057: 6.16% of arabinoxylans and KM 2084: 6.41% of beta-glucans) and on the contrary, the lowest values of arabinoxylans were found in the grain of hull-less variety AF Lucius (3.85%) and lowest amounts of beta-glucans were found in malting variety Radegast (3.92%). The samples of the growing technology without fungicide treatment had on average more arabinoxylans and beta-glucans than the fungicide non-treated ones.

Phenological development–yield relationships in spring barley in a subarctic environment

1995 ◽  
Vol 75 (1) ◽  
pp. 93-97 ◽  
Author(s):  
S. M. Dofing
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Developmental Stages ◽  
Spring Barley ◽  
Kernel Weight ◽  
Hordeum Vulgare L ◽  
Early Maturity ◽  
Fill Rate ◽  
Physiological Maturity ◽  
Early Maturing

Barley (Hordeum vulgare L.) producers in northern, marginal agricultural areas require cultivars that are both early maturing and high yielding. However, negative relationships between these two characteristics limit their simultaneous improvement. A better understanding of the relative contribution of the developmental stages to grain yield would assist breeders' selection. This study was undertaken to assess the relationships between patterns of phenological development and grain yield in barley grown in a subarctic environment. Sixteen genetically diverse spring barley cultivars were grown for 3 yr at Palmer, Alaska, and evaluated for grain fill rate, grain fill period, growing degree days (GDD) to heading, GDD from heading to physiological maturity, and GDD from physiological maturity to ripe maturity. Cultivars developed in temperate regions tended to have slower grain fill rates than those developed in subarctic regions. Rapid grain fill rate was associated with high kernel weight, but not with grain fill duration or grain yield. Increasing GDD to heading would result in higher grain yield, while increasing grain fill duration would have little effect. These results indicate that northern-adapted cultivars should have pre-heading periods lasting as long as possible, followed by short grain-fill periods. Simultaneous selection for early maturity and relatively long time to heading is recommended for the development of early-maturing, high-yielding cultivars adapted to northern conditions. Key words: Barley, Hordeum vulgare L., phenology, development, yield

scholarly journals Identification of Spring Barley Breeding Lines With Superior Yield Performance and Stability

2020 ◽  
Vol 68 (6) ◽  
pp. 947-958
Author(s):  
Volodymyr Hudzenko ◽  
Tetiana Polishchuk ◽  
Oleksandr Demydov ◽  
Mykola Sardak ◽  
Nataliia Buniak ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Forest Steppe ◽  
Environment Interaction ◽  
Yield Performance ◽  
Practical Result ◽  
Breeding Lines ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Main Effects

The aim of the present study was to substantiate theoretically and to test in practice scheme of multi-environment trials at the final stage of spring barley breeding process and to distinguish the genotypes which combine superior yield performance and stability. In the first year of competitive testing (2015) nine promising spring barley breeding lines have been selected under condition of the Central part of Forest-Steppe of Ukraine (latitude 49°64′, longitude 31°08′, altitude 153 m). In 2016 and 2017, the genotypes were additionally tested in two other different agro-climatic zones of Ukraine: Polissia (latitude 50°93′, longitude 31°69′, altitude 126 m) and Northern Steppe (latitude 48°56′, longitude 32°32′, altitude 171 m). In addition to the standard variety Vzirets, the breeding lines were compared with ten widespread spring barley varieties in agricultural production. Significant total yield variability of the genotypes and cross-over genotype by environment interaction has been revealed. It confirmed the validity of proposed combination of spatial (zones) and temporal (years) gradients for more efficient evaluation of the genotype by environment interaction and differentiation of genotypes in terms of yield performance and stability. As a practical result, using additive main effects and multiplicative interaction (AMMI) and genotype main effects plus genotype by environment interaction (GGE) models, four spring barley breeding lines with combination of superior yield performance and high stability have been identified.

scholarly journals Assessment of ecological stability in yield for breeding of spring barley cultivars with increased adaptive potential

2020 ◽  
Vol 11 (3) ◽  
pp. 425-430
Author(s):  
V. M. Hudzenko ◽  
O. A. Demydov ◽  
V. P. Kavunets ◽  
L. M. Kachan ◽  
V. A. Ishchenko ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Ecological Stability ◽  
Breeding Lines ◽  
Barley Cultivars ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Agroclimatic Zones

Increasing crop adaptability in terms of ensuring a stable level of productivity in the genotype – environment interaction is still the central problem of plant breeding theory and practice. The aim of the present study is to theoretically substantiate and practically test a scheme of multi-environment trials, as well as interpret experimental data using modern statistical tools for evaluation of the genotype by environment interaction, and highlight the best genotypes with combining yield performance and ecological stability at the final stage of the spring barley breeding process. For this purpose in the first year of competitive testing (2016) at the V. M. Remeslo Myronivka Institute of Wheat of the National Academy of Agrarian Sciences of Ukraine we selected nine promising spring barley breeding lines. In 2017 and 2018 these breeding lines were additionally tested in two other scientific institutions located in different agroclimatic zones of Ukraine. For a more reliable assessment, the breeding lines were compared not only with standard cultivar, but also with ten spring barley cultivars widespread in agricultural production of Ukraine. Thus, for three years of competitive testing, we received experimental genotype-environmental data from seven environments, which represent a combination of contrasting agroclimatic zones (Central part of the Forest-Steppe, Polissia and Northern Steppe of Ukraine) and different years (2016–2018). Our results revealed significant variability of mean yield of genotypes, as well as cross-over genotype by environment interaction. The first two principal components of both AMMI and GGE biplot explained more than 80% of the genotype by environment interaction. In general, the peculiarities we revealed indicate the effectiveness of the proposed combination of spatial (agroclimatic zones) and temporal (years) gradients to identify the best spring barley genotypes with the optimal combination of yield performance and ecological stability. Using AMMI and GGE biplot models was effective for the comprehensive differentiation of genotypes in terms of wide and specific adaptability, as well as for qualitative characterization of test environments and providing mega-environment analysis. As a practical result of the multi-environment trial, four spring barley breeding lines have been submitted to the State Variety Testing of Ukraine as new cultivars MIP Sharm, MIP Tytul, MIP Deviz and MIP Zakhysnyk, respectively.

Study of genotype by environment interaction in tall fescue genotypes and their polycross progenies in Iran based on AMMI model analysis

2016 ◽  
Vol 67 (7) ◽  
pp. 792
Author(s):  
M. R. Dehghani ◽  
M. M. Majidi ◽  
A. Mirlohi ◽  
G. Saeidi
Keyword(s):  
Tall Fescue ◽  
Genotype By Environment Interaction ◽  
Model Analysis ◽  
Forage Yield ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Yield Data ◽  
Genotype By Environment ◽  
Wide Range ◽  
Ammi Model

Development of forage grass genotypes which maintain a high level of performance over a wide range of environments is a goal of most breeding programs. In this study the additive main effects and multiplicative interactions (AMMI) model analysis was used to understand the complexity of genotype by environment interaction and to evaluate the adaptability and yield stability of some tall fescue genotypes and their selected polycross progenies. Replicated forage yield data of 72 genotypes (24 parental, 24 early flowering and 24 late flowering progenies) from six main cropping seasons (2008–14) at two locations and under two levels of irrigation were used for this purpose. The AMMI-1 analysis results accounted for 47.6% of the genotype by environment interaction. Interaction patterns revealed by AMMI-1 biplots indicated that most of the tall fescue genotypes were narrowly adapted and among all evaluated genotypes, only four genotypes (G22, G50, G62 and G65) with yield performance above the average were considered broadly adapted. The AMMI-1 mega-environment analysis indicated that all the environments in Lavark were grouped in one mega-environment, except for E1 and E2. For this mega-environment the winning genotypes were the genotypes G9, G48 and G72. The environments in Isfahan location, except for E13, were grouped in another mega-environment. The genotypes G23, G8 and G15 were the winners in this mega-environment.

scholarly journals Identification of spring barley genetic sources of increased and stable 1000 kernel weight performance (Hordeum vulgare L.)

2021 ◽  
Author(s):  
V. Hudzenko ◽  
О. Demyanyuk ◽  
T. Polishchuk ◽  
O. Babii ◽  
A. Lysenko
Keyword(s):  
Spring Barley ◽  
Weather Conditions ◽  
Kernel Weight ◽  
Forest Steppe ◽  
Gge Biplot ◽  
Hordeum Vulgare L ◽  
Statistical Parameters ◽  
Ecological Conditions ◽  
Ammi Model ◽  
Equal Contribution

The trials were conducted in 2018–2020 at the V.M. Remeslo Myronivka Institute of Wheat of NAAS. The aim of the research was to identify new spring barley genetic sources with combination of increased and stable 1000 kernel weight performance for creation initial breeding material under ecological conditions of the central part of Ukrainian Forest-steppe. There were studied 96 spring barley collection accessions originated in different ecological conditions. To identify peculiarities among genotypes within different subspecies (two-rowed and sixrowed), groups of varieties (covered and naked), as well as among two-rowed covered accessions of different ecological origin the genotypes under study were divided into six groups. Within four groups of accessions there were selected genotypes combining the maximum 1000 kernel weight performance and high homeostatic (Hom) and selection value (Sc) indexes. The other two groups of accessions were characterized with the fact that genotypes with high1000 kernel weight through three years did not have high Hom and Sc indexes due to higher variability. The analysis of variance of the AMMI model revealed almost the equal contribution to the total variance for growing season conditions (34.02%), genotype (34.67%) and their interaction (31.32%). The identified features indicate both the significant genetic diversity presented in this panel of spring barley accessions and the significant influence of weather conditions on the formation of 1000 kernel weight, as well as the different reaction of genotypes on the conditions of individual years of the research. When using statistical parameters and visualizations of the GGE biplot, new spring barley genetic sources with the optimal combination of increased and stable the trait performance were identified. In particular, to improve 1000 kernel weight the accessions Sviatovit (UKR), Dar Nosivshchyny (UKR), Smaragd (UKR), Sunshine (DEU), Lilly (DEU), and Vladlen (KGZ) are recommended to use as parental components for two-rowed covered barley varieties, the accession NSGJ-1 (SRB) is for naked barley varieties, and Yerong (AUS) is for six-rowed barley varieties.

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