Genotype × environment interaction of seed yield and seed index in bitter vetch

2002 ◽  
Vol 50 (2) ◽  
pp. 203-207
Author(s):  
M. A. Turk
Keyword(s):  
Seed Yield ◽  
Climatic Conditions ◽  
Selection Line ◽  
Environment Interaction ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
Bitter Vetch ◽  
Line Selection ◽  
Seed Index ◽  
100 Seed Weight

Nine bitter vetch selection lines were evaluated in three successive years to determine their yield and seed index (100-seed weight) stabilities, based on three parameters: phenotypic index (P), regression coefficient (bi), and least deviation from regression (S2 di). The line Sel. 2517 (L7) was identified as the most stable one for the growing seasons, while Sel. 2509 (L2) and Sel. 2511 (L4) were found to be stable for seed yield under favourable climatic conditions. For seed index Sel. 2515 (L6) was identified as the most stable line. Selection line 2513 (L5), which originated from Cyprus, had the highest degree of responsiveness to changing environments.

scholarly journals GENOTYPE-ENVIRONMENT INTERACTION FOR SEED YIELD AND YIELD CONTRIBUTING CHARACTERS IN CHICKPEA (Cicer arietinum L.)

2007 ◽  
Vol 20 (1) ◽  
pp. 09-12
Author(s):  
F. Mahmud ◽  
M. Z. Ullah ◽  
K. M. K. Huda
Keyword(s):  
Seed Yield ◽  
Significant Variation ◽  
Seed Weight ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Cicer Arietinum L ◽  
Plant Seeds ◽  
Genotype Environment Interaction ◽  
Days To Maturity ◽  
100 Seed Weight

Genotype-environment interaction was studied in seven genotypes of chickpea under four different cultural environments. Significant variation for genotype (G), environment (E) and G × E interactions were found for the characters days to maturity, plant height, pods/plant, seeds/plant, 100-seed weight and seed yield/plant. On the basis of stability parameters the genotypes Barichola-2, Barichola-3, Barichola-4, Barichola-7 and Barichola-8 could be considered stable for seed yield but suitable only under poor environments where no fertilizers were used. The genotype Barichola-1 was highly responsive but suitable for favorable environments only. DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17012

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.

EFFECTS OF THE SPRING TRITICALE GENOTYPES INTERACTION WITH ENVIRONMENTAL FACTORS

1970 ◽  
pp. 18-22
Author(s):  
К. V. Zenkina ◽  
Т. А. Aseeva
Keyword(s):  
Environmental Factors ◽  
Environmental Sustainability ◽  
Regression Coefficient ◽  
Cumulative Effect ◽  
Climatic Conditions ◽  
Amur Region ◽  
Stress Factors ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Spring Triticale

As objects of research, 40 varieties and lines of spring triticale of various ecological and geographical origins were used. To identify the degree of influence of the genotype-environment interaction on the formation of the yield of spring triticale, differentiation of varieties according to yield levels was carried out and dispersive, correlation and regression analysis was used. The linear nature of the reaction of spring triticale genotypes to the environment is maintained as long as the loads of environmental factors do not exceed the buffer capacity of the varieties. The spring triticale yields were ranked during different vegetation periods and AC Certa, Grebeshok, Lana, Ulyana, Uzor, Lotos, Victoria, Losinovsk, Sandio samples were selected with optimal environmental resistance to stress factors of the Middle Amur Region. In the dispersion of the yield of spring triticale, the influence of environmental factors is 41.3%, varieties - 19.6%, and genotype-environment interactions - 39.1%. This suggests that during the formation of spring triticale yields, the conditions of the Middle Amur region prevail over the genotypes and the genotype-environment interaction. Based on the multiple correlation analysis, the cumulative effect of environmental factors on the production process of spring triticale (R = 0.554) was established. A mathematical model of spring triticale productivity has been created depending on the weather and climatic conditions of the growing season. According to the coefficients of the regression equation, photosynthetically active radiation (the regression coefficient is 0.5533) and the relative humidity of the air (the regression coefficient is 1.9640) during the organogenesis of spring triticale have a significant impact on the plant yield. The low environmental sustainability of the studied varieties and lines of spring triticale in the Middle Amur Region indicates the need to create a new source material as the basis of highly productive and sustainable agrobiocenosis.

An analysis of variability and genotype × environment interaction in mung bean (Vigna radiata) in south-eastern Queensland

1982 ◽  
Vol 33 (3) ◽  
pp. 523 ◽  
Author(s):  
BC Imrie ◽  
KL Butler
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Mung Bean ◽  
Rainfall Variability ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Sowing Dates ◽  
Photoperiod Sensitive ◽  
Main Effects

Thirty mung bean (Vigna radiata) accessions were grown in replicated hill plots at two sites in each of 2 years. Plant height, days to flower and to harvest, and seed yield were recorded for each plot. In an analysis of variance most main effects and interactions were statistically significant. Estimated variance due to environment exceeded that due to genotypes for all characters. Broad sense heritability of seed yield was 0.07. The linear regression of seed yield on plant height was statistically significant, and there was a significant quadratic effect of yield on days to flower. It was concluded that environmental effects on the duration of growth phases were likely to be mainly due to the effect of different sowing dates on photoperiod-sensitive accessions, while rainfall variability most likely contributed to yield variance. Emphasis in an evaluation program should be on sampling years rather than locations.

scholarly journals Phenotypic and Quality Traits of Chickpea Genotypes under Rainfed Conditions in South Italy

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 962
Author(s):  
Mohamed Houssemeddine Sellami ◽  
Antonella Lavini ◽  
Cataldo Pulvento
Keyword(s):  
Seed Yield ◽  
Seed Quality ◽  
Ratio Test ◽  
Environment Interaction ◽  
South Italy ◽  
Legume Crop ◽  
Genotype Environment Interaction ◽  
The Stability ◽  
Total Seed

Chickpea (Cicer arietinum L.) is an important cool-season food legume crop that is mainly cultivated as a rainfed crop. This study was conducted in Italy between 2017 and 2019 to evaluate the stability of seed yield (SY), biomass (AGB) and 1000 seed weight (THS), and to assess the seed quality of 12 kabuli chickpea accessions under field conditions. The likelihood-ratio test revealed significant effects of genotype only for the SY and THS. The environment and genotype × environment interaction (GEI) effects were highly significant for all variables. We found that the environment (year) and GEI explain 55.72% and 20.87% of the total seed yield variation, respectively. Most chickpea accessions showed sensitivity to frost conditions in the third growing season. No relationship was observed between the yield and the protein content in Kabuli chickpea. Among the accessions, Ares and Reale showed the best performance under all environmental conditions, and the Reale was the most stable chickpea.

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.

scholarly journals Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date

2020 ◽  
Vol 115 (2) ◽  
pp. 315
Author(s):  
Pooran GOLKAR ◽  
Nasrin RAHMATABADI ◽  
Seyyed Ali Mohammad MIRMOHAMMADY MAIBODY
Keyword(s):  
Seed Yield ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Genotype By Environment Interaction ◽  
Planting Date ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Non Parametric

<p>Development of superior genotypes with high adaptability to different environments is considered as one of the most important goals in safflower breeding programs. In this study, ten parametric and six non-parametric measures along with the additive main effects and the relevant multiplicative interaction (AMMI) model were used to evaluate genotype by environment interaction (GE) in 15 safflower genotypes across 12 test environments ) combination of year, planting date and moisture conditions) during growing seasons in 2016 and 2017. AMMI analysis revealed significant differences among the genotypes and their GE interactions. The different stability statistics were substantiated by rank correlation coefficient. Rank-correlation coefficients revealed positive and significant correlations between mean seed yield and superiority index (r = 0.99**), and significant and negative correlation with bi, R2, Dij and non- parametric measures (NPi(2), NPi(3) and NPi(4)). Based on most stability parameters, the Mex.295 genotype (G10) was found to be the most stable for seed yield. IL.111 genotype (G9) recorded the highest mean yielding genotype regarded as the most favorable safflower genotype. In conclusion, both stability and seed yield should be simultaneously considered to exploit useful effects of G × E interactions in safflower breeding programs.</p>

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