scholarly journals Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 357
Author(s):  
Nikolaos Katsenios ◽  
Panagiotis Sparangis ◽  
Sofia Chanioti ◽  
Marianna Giannoglou ◽  
Dimitris Leonidakis ◽  
...  
Keyword(s):  
Principal Components ◽  
Mean Value ◽  
Quality Characteristic ◽  
Environment Interaction ◽  
High Concentration ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
Ammi Analysis ◽  
The Stability

The interaction of genotype by the environment is very common in multi-environment trials of maize hybrids. This study evaluates the quantity and the quality of grain production and the stability of four maize genotypes in a field experiment that was conducted in five different locations for two years. In order to make a reliable evaluation of the performance of genotypes in the environments, principal components analysis (PCA) was used to investigate the correlation of the yield, soil properties and quality characteristics, while the additive main effects and multiplicative interaction (AMMI) analysis detected the narrow adaptations of genotypes at specific mega-environments. For the yield, AMMI analysis indicated that a group of five environments (ENV1, ENV8, ENV6 ENV10 and ENV9) gave higher yields than the mean value and at the same time had low first interaction principal components axis (IPC1) scores, indicating small interactions. Regarding protein and fiber contents, ENV1 and ENV2, gave the highest values and this could be attributed to the high concentration rates of nutrients like Mg, Ca and the soil texture (C). Specifically for the protein, the results of the analysis indicated that certain environment would provide more protein content, so in order to obtain higher grain protein, growers should grow in certain locations in order to improve the content of this quality characteristic, certain genotypes should be used in certain environments.

scholarly journals Genotype Environment Interaction in Grass Pea (Lathyrus sativusL.) Lines

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
G. B. Polignano ◽  
V. Bisignano ◽  
V. Tomaselli ◽  
P. Uggenti ◽  
V. Alba ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Principal Components ◽  
Environment Interaction ◽  
Grass Pea ◽  
Genotype Environment Interaction ◽  
Marginal Areas ◽  
Different Seasons ◽  
The Stability

Eight grass pea lines grown in three different seasons were evaluated for the stability of seed yield, 100 seeds weight, flowering time, plant height, and biomass. Significant differences existed among years, lines, and lines years interaction for all traits except for 100 seeds weight. Two methods of multivariate analysis cluster and principal components were utilized to determine: firstly, whether a pattern existed among lines in their response across years and secondly to examine the relationships among them. In both analyses, each line was presented as a vector whose elements were given by the performance of lines in each year. The analyses used arranged the lines into groups that were differentiable in terms of performances and stability. Our results provide useful information to aid the choice of grass pea lines in the Mediterranean marginal areas.

scholarly journals Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil

2011 ◽  
Vol 2011 ◽  
pp. 1-6
Author(s):  
Lúcio Borges de Araújo ◽  
Mario Varela Nualles ◽  
Mirian Fernandes Carvalho Araújo ◽  
Carlos Tadeu dos Santos Dias
Keyword(s):  
Principal Components ◽  
Environment Interaction ◽  
Coastal Regions ◽  
Multivariate Response ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
The Mean ◽  
Components Analysis ◽  
And Performance ◽  
Main Effects

This work applies the three mode principal components analysis to analyze simultaneously the multiple attributes; to fit of models with additive main effects and multiplicative interaction effects (AMMI models) and the regressions models on sites (SREG models); to evaluate, respectively, the multivariate response of the genotype × environment interaction and the mean response of 36 genotypes of corn tested in 4 locations in Brazil. The results were presented by joint plots to identify the best genotypes for their adaptability and performance in the set of attributes.

scholarly journals Genotype-by-Environment Interaction Effects under Heat Stress in Tropical Maize

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1998
Author(s):  
Vinayan Madhumal Thayil ◽  
Pervez H. Zaidi ◽  
Kaliyamoorthy Seetharam ◽  
Reshmi Rani Das ◽  
Sudarsanam Viswanadh ◽  
...  
Keyword(s):  
Heat Stress ◽  
South Asia ◽  
Grain Filling ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
Spring Maize ◽  
Stable Performance

Spring maize area has emerged as a niche market in South Asia. Production of maize during this post-rainy season is often challenged due to heat stress. Therefore, incorporating heat stress resilience is an important trait for incorporation in maize hybrids selected for deployment in this season. However, due to the significant genotype × environment interaction (GEI) effects under heat stress, the major challenge lies in identifying maize genotypes with improved stable performance across locations and years. In the present study, we attempted to identify the key weather variables responsible for significant GEI effects, and identify maize hybrids with stable performance under heat stress across locations/years. The study details the evaluation of a set of prereleased advanced maize hybrids across heat stress vulnerable locations in South Asia during the spring seasons of 2015, 2016 and 2017. Using factorial regression, we identified that relative humidity (RH) and vapor pressure deficit (VPD) as the two most important environmental covariates contributing to the large GEI observed on grain yield under heat stress. The study also identified reproductive stage, starting from tassel emergence to early grain-filling stage, as the most critical crop stage highly susceptible to heat stress. Across-site/year evaluation resulted in identification of six high yielding heat stress resilient hybrids.

scholarly journals Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

2016 ◽  
Vol 37 (6) ◽  
pp. 3973 ◽  
Author(s):  
Daniel Augusto Silveira ◽  
Luiz Fernando Pricinotto ◽  
Maicon Nardino ◽  
Carlos André Bahry ◽  
Cássio Egídio Cavenaghi Prete ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Block Design ◽  
Principal Component ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Sowing Dates ◽  
Ammi Analysis ◽  
Soybean Genotypes ◽  
The Stability ◽  
Performance Adaptation

This study aimed to evaluate the adaptability and phenotypic stability of 10 soybean genotypes in 12 environments in Paraná state by using the additive main effects and multiplicative interaction analysis (AMMI) and Eberhart and Russell models. The assays were conducted in a randomized complete block design with three replicates, in the 2010/2011 season in four locations in Paraná state (Assaí, São Pedro do Ivaí, Cornélio Procópio, and Marilândia do Sul), and with three sowing dates (15/-20/10/10; 29/10-03/11/10; 15/-20/11/10). The cultivars tested with Roundup Ready® technology included SYN 1049, SYN 1152, SYN 1059, SYN 3358, SYN 1163, SYN 1157, V-MAX, FT Campo Mourão, BMX Potência, and SYN 9070. The yield character was analyzed. Data were submitted to analysis of variance and the adaptability and stability were then analyzed. The results of the AMMI and Eberhart and Russell models were somewhat consistent for the stability parameter only. The AMMI analysis was able to capture 66% of the variance associated with residue no additives, of which 43.18% was retained in the first principal component of interaction and 23.58%, in the second component. This is sufficient to explain the genotype × environment interaction. The SYN 1059, SYN 1163, and VMAX genotypes are distinguished by their considerably higher yield and productive adaptation. In the AMMI analysis, the cultivar SYN 1163 showed commercial promise among the other cultivars for high grain yield performance, adaptation, and response predictability.

scholarly journals Evaluation of stability in maize hybrids using univariate parametric methods

2021 ◽  
Author(s):  
Seyed Habib Shojaei ◽  
Khodadad Mostafavi ◽  
Amirparviz Lak ◽  
Ali Omrani ◽  
Saeed Omrani ◽  
...  
Keyword(s):  
Grain Yield ◽  
Climatic Conditions ◽  
High Yield ◽  
Environment Interaction ◽  
Average Yield ◽  
Stability Parameters ◽  
Environmental Variance ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
The Stability

AbstractGenotype × environment interaction is one of the complex issues of breeding programs to produce high-yielding and compatible cultivars. Interaction of genotype × environment and make the more accurate selection, the performance and stability of hybrids need to be considered simultaneously. This study aimed to investigate stable genotypes with yield using 12 maize hybrids in different climatic conditions of Iran. The experimental design used was a randomized complete blocks design in three replications in two cropping years in Karaj, Birjand, Shiraz, and Arak stations. The simple analysis of variance performed on grain yield of genotypes indicated that all hybrids studied each year and station were significantly different in grain yield. Also, the combined analysis results showed a significant effect on the environment, the effects of genotype, and the interaction of genotype × environment and t in the studied hybrids different. Comparing Duncan's mean on the data obtained from the research, KSC705 genotypes with an average yield of 7.21 and KSC704 genotype with an average yield of 7.04 were identified as high yield cultivars. In order to identify stable cultivars, six stability parameters were used. KSC260 and KSC707 genotypes had stability Based on the environmental variance, also had stability based KSC705, KSC707 genotype on environmental the coefficient of variation, and KSC260 genotypes had stability based methods of genotype and environment interaction. As well as based on Eberhart and Russell regression coefficient had the stability to KSC400 and SC647 genotypes. Also, they were identified as the most stable genotypes based on the detection coefficient method, KSC707, and KSC703 genotypes.

scholarly journals Effect of Genotype × Environment Interaction on Yield of Maize Hybrids in Greece Using AMMI Analysis

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 479
Author(s):  
Nikolaos Katsenios ◽  
Panagiotis Sparangis ◽  
Dimitriοs Leonidakis ◽  
George Katsaros ◽  
Ioanna Kakabouki ◽  
...  
Keyword(s):  
Positive Interactions ◽  
Climatic Data ◽  
Environment Interaction ◽  
Positive Interaction ◽  
Genotype Environment Interaction ◽  
Cultivation Period ◽  
Maize Genotypes ◽  
Maize Cultivation ◽  
Ammi Analysis ◽  
Ammi Model

An increase in grain yield remains a major target for all involved in maize cultivation. In this study, five maize genotypes were evaluated in a two-year (2017 and 2018) field experiment that was conducted at six locations. Additive main effects and multiplicative interaction (AMMI) analysis was used to detect the narrow adaptations of genotypes in specific mega-environments and the positive interactions of genotypes (G) and environments (E). According to the results of ANOVA, the G × E interaction effect explained 80.36% of the variation, while G explained only 12.79% of the variation, with the remainder explained by E (6.85%). The AMMI model indicated that GEN2, GEN4, and GEN5 were the most suitable genotypes for the three mega-environments delineated. Furthermore, GEN4 was found to have a large positive interaction with the environments featuring the highest rain precipitation during the cultivation period, while GEN2 had a large positive interaction with environments where the mean monthly high temperature was over 34 °C, according to the climatic data during the cultivation period. Additionally, the four environments with slightly acidic pH had a positive interaction with all genotypes of the research, except GEN2.

scholarly journals Ammi analysis of genotype × environment interaction and stability of sesame genotypes

2020 ◽  
Vol 49 (2) ◽  
pp. 215-221
Author(s):  
Bhagwat Singh ◽  
Rajani Bisen
Keyword(s):  
Significant Interaction ◽  
Degrees Of Freedom ◽  
Principal Component ◽  
Mean Value ◽  
Environment Interaction ◽  
Average Yield ◽  
Genotype Environment Interaction ◽  
Ammi Analysis ◽  
Sesame Genotypes ◽  
Main Effects

The additive main effects and multiplicative interaction (AMMT) model for seed yield of 60 varieties of sesame per plant detected significant effects of the genotypes (17.87% sum of squares (SS)), environments (14.15% SS) and genotype × environment interaction (67.99% SS). The model also extracted two significant interaction principal component analysis (IPCA) with a total of 79.9% SS and 67.8% corresponding degrees of freedom. Genotype TMV-7 (17.308 g/plant) followed by N-8 (13.994 g/plant) had the highest average yield which was much greater than the grand mean (10.976 g/plant) and declared as area specific adapted genotypes. Environments El, E2 and E4 were unfavorable while E3 is the most suitable as indicated by high mean value of IPCA 1 and low value of IPCA 2.

scholarly journals Performance evaluation of commercial maize hybrids across diverse Terai environments during the winter season in Nepal

2016 ◽  
Vol 2 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Mahendra Prasad Tripathi ◽  
Jiban Shrestha ◽  
Dil Bahadur Gurung
Keyword(s):  
Grain Yield ◽  
Winter Season ◽  
First Year ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Site Analysis ◽  
Maize Cultivars ◽  
Genotype Environment Interaction ◽  
Winter Time ◽  
Hybrid Maize

The hybrid maize cultivars of multinational seed companies are gradually being popular among the farmers in Nepal. This paper reports on research finding of 117 maize hybrids of 20 seed companies assessed for grain yield and other traits at three sites in winter season of 2011 and 2012. The objective of the study was to identify superior maize hybrids suitable for winter time planting in eastern, central and inner Terai of Nepal. Across site analysis of variance revealed that highly significant effect of genotype and genotype × environment interaction (GEI) on grain yield of commercial hybrids. Overall, 47 genotypes of 16 seed companies identified as high yielding and stable based on superiority measures. The statistical analysis ranked topmost three genotypes among tested hybrids as P3856 (10515 kg ha-1), Bisco prince (8763 kg ha-1) as well as Shaktiman (8654 kg ha-1) in the first year; and 3022 (8378 kg ha-1), Kirtiman manik (8323 kg ha-1) as well as Top class (7996 kg ha-1) in the second year. It can be concluded that stable and good performing hybrids identified as potential commercial hybrids for general cultivation on similar environments in Nepal.

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