scholarly journals Yield, SDG lignan, cadmium, lead, oil and protein contents of linseed (Linum usitatissimum L.) cultivated in trials and at different farm conditions in the south-western part of Finland

2013 ◽  
Vol 22 (2) ◽  
pp. 296-306 ◽  
Author(s):  
Marketta Saastamoinen ◽  
Juha-Matti Pihlava ◽  
Merja Eurola ◽  
Ari Klemola ◽  
Lauri Jauhiainen ◽  
...  
Keyword(s):  
Wastewater Sludge ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Bottom Soil ◽  
Linum Usitatissimum L ◽  
Cadmium Lead ◽  
Cadmium And Lead ◽  
Variance Estimates ◽  
Sdg Lignan ◽  
Interaction Variance

Linseed varieties were studied in variety trials and under farm conditions in south-western Finland in the years 2007−2010. The variation in yield, oil, protein, SDG lignan, cadmium and lead contents were studied in 8 oil and 2 fibre linseed varieties. Genotypic, environmental and genotype x environment interaction variance estimates were calculated. Fibre varieties ‘Belinka’ and ‘Martta’ had higher protein and lower oil contents than oil linseed varieties.The SDG lignan contents of linseed varieties varied between 3635−9560 mg kg-1. Rather high genotypic variance was found in yield, oil, protein and SDG lignan contents. Variety ‘Laser’ had lower SDG lignan content. ‘Abacus’, ‘Helmi’ and ‘Martta’ had the highest SDG lignan contents. Variation in cadmium and lead contents were caused by environmental effects. The highest cadmium contents, 0.82−1.69 mg kg-1, were found in soils fertilized by wastewater sludge about 20 years ago and at fields with low bottom soil pH (4.1−4.5).

Genotype X Environment Interaction Among Peanut Lines in Oklahoma1

1982 ◽  
Vol 9 (1) ◽  
pp. 24-27 ◽  
Author(s):  
K. E. Dashiell ◽  
J. S. Kirby ◽  
R. W. McNew
Keyword(s):  
Variance Components ◽  
Unit Area ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Performance Tests ◽  
Genotype X Environment ◽  
Pod Yield ◽  
Arachis Hypogaea L ◽  
The Difference ◽  
Interaction Variance

Abstract Data from Oklahoma peanut (Arachis hypogaea L.) performance tests from 1969 through 1978 were used to estimate genotype X environment interaction variance components for pod yield, %TSMK, % SS, % OK, and gross return per unit area. The objectives of this study were to determine if it would be advantageous to select cultivars for specific regions, and to determine the most efficient combination of years, locations, and replications to use when evaluating peanut lines. Evidence was obtained that genotypes perform consistently between irrigated and nonirrigated locations for the traits studied. The variance of the difference between two cultivars or lines was calculated for % TSMK, pod yield, and gross return using various combinations of years, locations, and replications. Results indicate that, when testing for gross return, the time presently allotted for testing could be reduced without sacrificing accuracy.

scholarly journals Stability Analysis for Yield and it’s Related Characters in Linseed (Linum usitatissimum L.)

2021 ◽  
Vol 10 (10) ◽  
pp. 421-428
Author(s):  
R. K. Mahawar J. M. Dhakar ◽  
N. R. Koli S. C. Sharma ◽  
Sandhya Yamini Tak
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Oil Content ◽  
Linear Component ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Stability Performance ◽  
Linum Usitatissimum L ◽  
Biological Yield ◽  
Stable Performance

Thirty-six genotypes including eight parents and their 28 crosses developed in diallel fashion excluding reciprocals were used to studied their stability performance over six contrasting environments viz., early, normal and late sown under rainfed and irrigated conditions for seed yield and its contributing characters. Genotype x Environment interaction and Linear component of G x E interaction were showed significant for all the characters except plant height, secondary branches per plant and biological yield per plant under study. The parents Meera and PA2 showed stable performance for two characters and rest of the genotypes showed stable performance for one character over a range of environments under study. The cross Meera x RL13161 and RL15583 x KBA3 showed stable performance for seed yield and two crosses RL13161 x KBA3 and RL15583 x KBA3 showed stable performance for oil content and rest of four crosses showed stable performance for other characters.

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

scholarly journals Genotype x Environment Interaction and Yield-Stability Analyses of Rice Grown in Tropical Inland Swamp

2011 ◽  
Vol 39 (1) ◽  
pp. 220 ◽  
Author(s):  
Adesola L. NASSIR ◽  
Omolayo J. ARIYO
Keyword(s):  
Total Variation ◽  
Yield Stability ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Rice Varieties ◽  
Environmental Indices ◽  
Genotype X Environment ◽  
Additional Information ◽  
Gxe Interaction ◽  
The Stability

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ?2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.

scholarly journals Genotype x Environment interaction in the yield and fruit quality of passion fruit germplasm grown in the Ecuadorian Littoral

2020 ◽  
Vol 20 (sup3) ◽  
pp. S1829-S1844
Author(s):  
William Viera ◽  
Beatriz Brito ◽  
Eddie Zambrano ◽  
Lenin Ron ◽  
Jorge Merino ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Genotype X Environment Interaction ◽  
Passion Fruit ◽  
Environment Interaction ◽  
Genotype X Environment
Sign in / Sign up

Export Citation Format

Share Document