scholarly journals Analysis of Genotype-by-Environment Interaction in Winter Wheat Growth in Organic Production System

2018 ◽  
pp. 212 ◽  
Author(s):  
Osval Antonio Montesinos- López ◽  
P. Stephen Baenziger ◽  
Kent M. EskridgeK ◽  
Richard S. Little ◽  
Eliel Martínez- Crúz ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Vegetation Index ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Genotype By Environment ◽  
Volume Weight ◽  
Grain Volume Weight

The goal of this study was to evaluate the performance of 36 wheat winter (Triticum aestivum L.) lines in organic systems in three locations in Nebraska, to compare the performance of the released cultivars with experimental lines to help in the process of selection, to study the magnitude and behavior of genotype-by-environment interaction for grain yield, anthesis date, plant height, protein content, grain volume weight and vegetation index, and to identify the more stable genotypes. Linear mixed models and site regression model was implemented for reaching the objectives of the present research. Genotypic and GE interaction are significant across the three locations for all traits except for anthesis date. Environment were significant for the six traits. Yield is negative correlated with protein content and plant height. In general the genetic correlation explained more of the genotype performance, although the GE interaction was significant. The best genotypes for grain yield across the three environments were genotypes NW03666, SD07165, NE07444 and Overland. For vegetation index the best lines were: Lyman and Buckskin. For grain volume weight the best lines were: Lyman, NW03681, Danby and Goodstreak. For anthesis date all genotypes were similar. For plant height, the best lines were Goodstreak, Buckskin and Clarkscream.  For protein content, the best lines were Goodstreak, Karl92, Lyman, and Clarkscream. In general the average grain yield of the experimental lines was better than the released lines. For anthesis date, the performance was similar between experimental and released lines. However, for vegetation index, plant height, grain volume weight and protein content, the average performance of the experimental lines was lower than the released lines.

Survival, height and genotype by environment interaction in winter wheat

1993 ◽  
Vol 73 (2) ◽  
pp. 417-427 ◽  
Author(s):  
J. B. Thomas ◽  
G. B. Schaalje ◽  
M. N. Grant
Keyword(s):  
Winter Wheat ◽  
Cold Stress ◽  
Grain Yield ◽  
Plant Height ◽  
High Stress ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Wide Range ◽  
As Stress

This study examines the relationship between plant height, winterhardiness and genotype-by-environment interaction in the grain yield of winter wheat in western Canada. Positive correlations between plant height and winter survival ability (WSA) and between plant height and lodging score have persisted among entries in Western Hard Red Winter Wheat Cooperative Trials (WWC) for 33 yr. Progress has been made in developing winterhardy semidwarfs; however, no short cultivars have yet been isolated in the most hardy group. For Saskatchewan and Manitoba trials, correlations between WSA and yield (WSA:Y) were mostly positive, indicating widespread and intense cold stress. In southwest Alberta trials, WSA:Y ranged from significantly positive to significantly negative, indicating the wide range and unpredictability of cold stress in this area; in North and Central Alberta the distribution of WSA: Y was intermediate between southwest Alberta and Manitoba and Saskatchewan. In high stress trials (WSA:Y > 0.4), cultivar grain yield increased with increased cultivar height (on average, +0.024 tonnes ha−1 for each centimetre increase in height) but as stress levels declined, this relationship was reversed. In trials with WSA: Y < −0.4, cultivar yield was negatively related to cultivar height (average slope of −0.026 tonnes ha−1 per centimetre increase in height). Similar results were found in a trial of six winter wheat cultivars over three sites and 6 years within southern Alberta. In high stress trials, tall and hardy cultivars stabilized grain yield through high rates of survival while non-hardy cultivars performed poorly. Without damaging cold stress, short and non-hardy cultivars showed the highest yields and the greatest response to environmental productivity. Key words: Yield, winterhardiness, coldstress

scholarly journals Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench)

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258211
Author(s):  
Muluken Enyew ◽  
Tileye Feyissa ◽  
Mulatu Geleta ◽  
Kassahun Tesfaye ◽  
Cecilia Hammenhag ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Agronomic Traits ◽  
Genotypic Variation ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Phenotypic Data ◽  
Breeding Programs ◽  
Genotype By Environment ◽  
And Cluster Analysis

Genotype by environment (G×E) interaction is a major factor limiting the success of germplasm selection and identification of superior genotypes for use in plant breeding programs. Similar to the case in other crops, G×E complicates the improvement of sorghum, and hence it should be determined and used in decision-making programs. The present study aimed at assessing the G×E interaction, and the correlation between traits for superior sorghum genotypes. Three hundred twenty sorghum landraces and four improved varieties were used in alpha lattice experimental design-based field trial across three environments (Melkassa, Mieso and Mehoni) in Ethiopia. Phenotypic data were collected for days to flowering (DTF), plant height (PH), panicle length (PALH), panicle width (PAWD), panicle weight (PAWT) and grain yield (GY). The results revealed that the variance due to genotype, environment and G×E interaction were highly significant (P < 0.001) for all traits. GY and PAWT were highly affected by environments and G×E whereas DTF, PALH, PAWD and PH were mainly affected by genotypic variation. Therefore, multi-environment testing is needed for taking care of G × E interaction to identify high yielding and stable sorghum landraces. GY and PAWT revealed highly significant positive correlations indicating the possibility of effective selection of the two traits simultaneously. Among the studied populations, South Wello, West Hararghe and Shewa zones had highly diverse genotypes that were distributed across all clusters. Hence, these areas can be considered as hotspots for identifying divergent sorghum landraces that could be used in breeding programs. Melkassa was the most representative environment whereas Mieso was the most discriminating. Five genotypes (G148, G123, G110, G203 and G73) were identified as superior across the test environments for grain yield with farmer-preferred trait, such as plant height. The identified stable and high yielding genotypes are valuable genetic resources that should be used in sorghum breeding programs.

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 Genotype x Environment Interaction and Yield Stability of Several Yield Components Among Adapted Rice Cultivars in West Sumatra

Zuriat ◽  
2015 ◽  
Vol 18 (2) ◽  
Author(s):  
Aslim Rasyad ◽  
Azwir Anhar
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Oryza Sativa L ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Genotype By Environment ◽  
West Sumatra ◽  
Commercial Purpose ◽  
1000 Grain Weight ◽  
Interaction Variance

Genotype by environment (GE) interaction and genotype stability of a trait in rice (Oryza sativa L.) are very important for plant breeders in making decision regarding the development and evaluation of new cultivars as well as for farmers in selecting suitable cultivars to be planted for commercial purpose. Yield components including panicles number plant–1, number of grains panicle–1, 1000-grain weight, and grain yield of five locally adapted cultivars of rice were evaluated at three locations in West Sumatera. The data were used to determine GE interaction variance components and stability of the traits. There were significant effects of locations on yield and some yield components except number of panicles plant–1. The cultivars differed significantly in all yield components but not in grain yield. The influence of GE interaction was highly significant on all yield components and grain yield. The magnitude of GE interaction variance component was greater than that of location for all traits. These data suggested that genotypes performed differently among the locations and were not stable with respect to the locations, so that farmers should select a suitable cultivar to be grown in the area of production.

scholarly journals Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

Euphytica ◽  
2019 ◽  
Vol 215 (11) ◽  
Author(s):  
Jan Bocianowski ◽  
Jerzy Księżak ◽  
Kamila Nowosad
Keyword(s):  
Pisum Sativum ◽  
Block Design ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Randomized Complete Block Design ◽  
Main Effects

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.

scholarly journals Grain yield, stability and bacterial brown spot disease of dark red kidney dry bean (Phaseolus vulgaris L.) genotypes across six environments in South Africa

2020 ◽  
pp. 1433-1442
Author(s):  
Venâncio Salegua ◽  
Rob Melis ◽  
Deidré Fourie ◽  
Julia Sibiya ◽  
Cousin Musvosvi
Keyword(s):  
South Africa ◽  
Disease Resistance ◽  
Grain Yield ◽  
Genotype By Environment Interaction ◽  
Brown Spot ◽  
Environment Interaction ◽  
Phaseolus Vulgaris L ◽  
Dry Bean ◽  
Genotype By Environment ◽  
Bacterial Brown Spot

Dry bean (Phaseolus vulgaris L.) is grown under an extensive range of agro-climatic conditions and is an essential source of protein and income globally. This study aimed to evaluate yield performance, stability, and bacterial brown spot (BBS) disease resistance of fourteen dark red kidney genotypes across environments in South Africa namely Carolina, Clarens, Cedara, Middelburg, Potchefstroom, and Warden. Analysis of variance (ANOVA), additive main effects and multiplicative interaction (AMMI) and the genotype plus genotype by environment interaction (GGE-biplot) analysis were used to evaluate grain yield performance, stability, and BBS disease resistance. The AMMI ANOVA revealed that mean squares for grain yield and BBS severity for the environment, genotype, and genotype by environment interaction were highly significant (P<0.001). Four interaction principal components (IPCA1 - 4) for grain yield and IPCA1 for BBS severity were highly significant (P<0.001, P<0.01). Genotype G12 showed broad adaptation for both high grain yield and low BBS severity across the six environments, while genotypes G08, G06, G03, G02, G05, and G04 had specific adaption for high grain yield and low BBS severity. These genotypes recorded grain yield above the grand mean and the best check cultivar, both with 1.43 t ha-1 , and BBS severity below the grand mean (31.90%) and the best check (48.89%). The genotypes identified with either broad or specific adaptation can be released in the environments they are adapted to, or used as parents in breeding programmes aiming to improve grain yield and BBS disease resistance of dry bean for farmers in South Africa.

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