scholarly journals Adaptation and Agronomic Performance of Domesticated Moroccan Oat (Avena magna ssp. domestica) Lines under Subsistence Farming Conditions at Multiple Locations in Morocco

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1037
Author(s):  
Eric N. Jellen ◽  
Eric W. Jackson ◽  
Thiam Elhadji ◽  
Lauren K. Young ◽  
Ayoub El El Mouttaqi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Interaction Analysis ◽  
Environment Interaction ◽  
Subsistence Farming ◽  
Economic Resource ◽  
Site Factor ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
Second Year ◽  
Set Up

Common hexaploid oat (Avena sativa L.) is an important global cereal crop. A Moroccan tetraploid sister species, A. magna Murphy et Terrel, was exclusively a wild species until recently. The goal of domestication was to exploit its superior groat-protein content and climatic tolerances. We set up replicated trials of 41 domesticated A. magna lines on eight Moroccan farms during the 2017–18 and 2018–19 growing seasons. Twenty traits were measured and analyses of variance detected significant differences among lines. The highest grain yield was at Berrechid in 2017–18 (63.56 q/ha), with an average annual yield across sites of 43.50 q/ha, the site factor explaining 82% and the genotype-environment interaction explaining 15% of the variability. In the second year, El Kebab recorded the highest yield at 20.03 q/ha over the annual average of 14.78 q/ha. In this second year, the site factor was highly significant, explaining 42.25% of the variation, with the genotype-environment interaction explaining 26.61% of the variability. An additional main effect and multiplicative interaction analysis of the eight two-year trials identified several accessions with good yield stability. Twelve lines exhibited a ASVs ≤ 1.50, with five accessions (A34, A40, A23, A05, A04) exceeding the overall average yield of 29.53 and A34 having the greatest mean grain yield and stability. The versatility and stability of A. magna can provide a sustainable protein source and an economic resource for farmers seeking products that are resilient to climatic instability.

Simultaneous selection of yield and yield stability in chickpea genotypes using the GGE biplot technique

2013 ◽  
Vol 61 (3) ◽  
pp. 185-194 ◽  
Author(s):  
E. Farshadfar
Keyword(s):  
Grain Yield ◽  
Principal Component ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Yield Data ◽  
Genotype By Environment ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
The Mean ◽  
Selection Of

GGE biplot analysis is an effective method, based on principal component analysis (PCA), to fully explore multi-environment trials (METs). It allows visual examination of the relationships among the test environments, genotypes and the genotype-by-environment interactions (G×E interaction). The objective of this study was to explore the effect of genotype (G) and the genotype × environment interaction (GEI) on the grain yield of 20 chickpea genotypes under two different rainfed and irrigated environments for 4 consecutive growing seasons (2008–2011). The yield data were analysed using the GGE biplot method. The first mega-environment contained environments E1, E3, E4 and E6, with genotype G17 (X96TH41K4) being the winner; the second mega-environment contained environments E5, E7 and E8, with genotype G12 (X96TH46) being the winner. The E2 environment made up another mega-environment, with G19 (FLIP-82-115) the winner. The mean performance and stability of the genotypes indicated that genotypes G4, G16 and G20 were highly stable with high grain yield.

scholarly journals Delineation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield in Mungbean

2020 ◽  
Vol 2 ◽  
Author(s):  
Santhi Madhavan Samyuktha ◽  
Devarajan Malarvizhi ◽  
Adhimoolam Karthikeyan ◽  
Manickam Dhasarathan ◽  
Arumugam Thanga Hemavathy ◽  
...  
Keyword(s):  
Grain Yield ◽  
Tamil Nadu ◽  
Stability Index ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype Environment Interaction ◽  
South Indian ◽  
Indian State ◽  
Wide Adaptation ◽  
High Yields

In the present study, fifty-two mungbean (Vigna radiata) genotypes were evaluated for seven morphological traits at three different environments in South Indian state Tamil Nadu, namely Virinjipuram (E1), Eachangkottai (E2), and Bhavanisagar (E3) during Kharif 2017, 2018, and 2019, respectively. The data collected were subjected to variability and correlation analyses, followed by stability analysis using additive main effects and multiplicative interaction (AMMI) model, genotype and genotype × environment interaction effects (GGE) biplot. Variablility was observed among the genotypes for the following traits viz., plant height, days to fifty per cent flowering, number of pods per plant, pod length, number of seeds per pod, hundred seed weight and grain yield. Correlation analysis showed that the trait number of pods per plant was significantly associated with grain yield. The G × E was smaller than the genetic variation of grain yield as it portrayed the maximum contribution of genotypic effects (61.07%). GGE biplot showed E3 as a highly discriminating and representative environment. It also identified environment-specific genotypes viz., EC 396111 for E1, EC 396125 for E2 and EC 396101 for E3 environments. The genotypes with minimum genotype stability index (GSI) viz., V2802BG (7), HG 22 (13), and EC 396098 (13) were observed with wide adaptation and high yields across all the three environments. In summary, we identified stable genotypes adapted across environments for grain yield. These genotypes can be used as parent/pre-breeding materials in future mungbean breeding programs.

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.

Adaptation of field pea varieties to organic farming across different environments of Italy

2019 ◽  
Vol 70 (4) ◽  
pp. 327 ◽  
Author(s):  
Luciano Pecetti ◽  
Angelo R. Marcotrigiano ◽  
Luigi Russi ◽  
Massimo Romani ◽  
Paolo Annicchiarico
Keyword(s):  
Grain Yield ◽  
Southern Italy ◽  
Ascochyta Blight ◽  
Genetic Correlations ◽  
Field Pea ◽  
Environment Interaction ◽  
Adaptive Responses ◽  
Climatic Regions ◽  
Organic Systems ◽  
Genotype Environment Interaction

This study aimed to support field pea (Pisum sativum L.) breeding strategies for organic systems of southern European environments, by assessing the size of genotype × environment interaction (GEI) due to spatial and temporal factors across climatically contrasting regions and identifying plant characters associated with genotype adaptive responses. Twelve recent varieties were evaluated for grain yield and other traits in six organically managed environments (three sites × two cropping years) of northern, central and southern Italy. GEI for grain yield was large, with the variety × site × year interaction greatly exceeding the variety × site interaction. This finding, and the similar magnitude of the mean genetic correlations for variety yields across pairs of sites (rg = 0.56) and pairs of years (rg = 0.51), indicated the difficulty of exploiting variety × site interaction effects by breeding for specific climatic regions. Pattern analysis highlighted the large inconsistency across years for GEI pattern of the sites from central and southern Italy. GEI also complicated the targeting of varieties, owing to inconsistent top-performing material across years according to additive main effects and multiplicative interaction (AMMI)-modelled yields. Higher genotype mean yield was strictly associated (P < 0.01) with lower weed proportion (hence, greater competitiveness against weeds: r = –0.96), taller plants (r = 0.89) and larger seeds (r = 0.78), with looser associations with lower susceptibility to lodging and ascochyta blight. These traits, which also contributed to preferential adaptation to the moisture-favourable environments of northern Italy, could be selected in breeding widely adapted varieties.

Genotype × environment interaction patterns for grain yield of spring barley in different regions of Kazakhstan

2013 ◽  
Vol 49 (2) ◽  
pp. 196-205 ◽  
Author(s):  
Y. Turuspekov ◽  
B. Sariev ◽  
V. Chudinov ◽  
G. Sereda ◽  
L. Tokhetova ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Barley ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Genotype Environment Interaction

scholarly journals Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot

2010 ◽  
Vol 10 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Rogério Lunezzo de Oliveira ◽  
Renzo Garcia Von Pinho ◽  
Márcio Balestre ◽  
Denys Vitor Ferreira
Keyword(s):  
Interaction Analysis ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Multiplicative Interaction ◽  
Maize Hybrids ◽  
Growing Seasons ◽  
Single Cross ◽  
Predictive Correlation ◽  
Environmental Stratification ◽  
Main Effects

The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.

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