scholarly journals PARAMETERS OF AMMI MODEL TO ASSESS G×E INTERACTION OF MALT BARLEY GENOTYPES

2019 ◽  
Vol 7 (3) ◽  
pp. 273-280
Author(s):  
Ajay Verma ◽  
◽  
V Kumar ◽  
AS Kharab ◽  
GP Singh ◽  
...  
Keyword(s):  
Ammi Model ◽  
Malt Barley ◽  
Barley Genotypes

scholarly journals The expression of the gene associated with β-glucan content, β-amylase and limit dextrinase synthesis as affected by post-heading heat stress in barley

2019 ◽  
Author(s):  
Shengjing Ni ◽  
Huifang Zhao ◽  
Guoping Zhang
Keyword(s):  
Heat Stress ◽  
High Temperature ◽  
Grain Filling ◽  
Quality Trait ◽  
Malt Quality ◽  
Filling Stage ◽  
Limit Dextrinase ◽  
Malt Barley ◽  
Grain Filling Stage ◽  
Barley Genotypes

Abstract Background: Malt barley shows a dramatic deterioration of malt quality when exposed to heat or high temperature stress during grain-filling stage (post heading), and global change results in the more frequent occurrence of high temperature, posing a severe threat to high-quality malt barley production. In a previous study, we found heat stress during grain-filling stage caused the significant reduction of kernel weight, and the significant increase of protein and β-glucan content, and β-amylase and limit dextrinase (LD) activities, and the effect varied with barley genotypes and the time of heat stress exposure.Results: In this study, we determined the relative expressions of HvCslF6 and HvCslF9 for β-glucan, HvBmy1 for β-amylase and LD gene for limit dextrinase of two barley cultivars（ZU9 and Hua30）under the two heat stress (HS) treatments (32/26℃, day/night), initiated from the 7th day (early grain-filling stage) and the14th day (middle grain-filling stage) after heading. In comparison with normal temperature (24/18℃, day/night), HS treatments significantly up-regulated the relative expression of all four genes, and Hua30 being larger than ZU9. The change pattern of each examined gene for the two barley genotypes under heat stress treatments is completely consistent with that of corresponding malt quality trait as affected by heat stress.Conclusion: The results indicate that the enhancement of β-glucan content, and β-amylase and limit dextrinase activities under high temperature during grain filling stage is at least in part attributed to increased expression of the relevant genes.

scholarly journals Malt Barley Genotypes Assessed by Analytic Adaptability Measures for NWPZ of the Country

2021 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Graphical Analysis ◽  
Harmonic Mean ◽  
Relative Performance ◽  
First Year ◽  
Gxe Interaction ◽  
Environment Effects ◽  
Cropping Season ◽  
Malt Barley ◽  
Barley Genotypes ◽  
Analysis Environment

Highly significant effects of the environment (E), genotypes (G), and GxE interaction had been observed by AMMI analysis. Environment explained 51.4% whereas GxE interaction accounted for 22.1% of treatment variations in yield during first year. Harmonic Mean of Genotypic Values (HMGV) expressed higher values for DWRB160, DWRB184, and BH902. Ranking of genotype as per IPCA-1 were BH902, DWRB182, DWRB101. While IPCA-2, selected DWRB101, DWRB123, DWRB184 genotypes. Values of ASV1 selected DWRB101, DWRB182, BH902 and ASV identified DWRB101, DWRB123, DWRB182 barley genotypes. Adaptability measures Harmonic Mean of Relative Performance of Genotypic Values (HMPRVG) and Relative Performance of Genotypic Values (RPGV) identified DWRB160, DWRB184, and BH902 as the genotypes of performance among the locations. Biplot graphical analysis exhibited adaptability measures PRVG, HMPRVG along with IPC3, mean, GM, HM grouped in a cluster. During 2019-20 cropping season Environment effects accounted 79.7% whereas GxE interaction contributed for 7.7% % of treatment variations in yield. HMGV expressed higher values for DWRB196, DWRB123, and RD2849. IPCA-1 scores, desired ranking of genotypes was DWRB182, PL908, RD2849. While IPCA-2 pointed towards PL908, RD2849, DWRB196, as genotypes of choice. Analytic measures ASV and ASV1 selected PL908, RD2849, DWRB123 barley genotypes. HMRPGV along with PRVG settled for DWRB196, DWRB123, and RD2849. Adaptability measures PRVG, HMPRVG clustered with mean, GM, HM and observed in different quadrant of biplot analysis.

scholarly journals GxE evaluation of salinity tolerant barley genotypes by AMMI model

2016 ◽  
Vol 36 (3) ◽  
Author(s):  
Ajay Verma ◽  
R. P. S.Verma ◽  
A. S. Kharab ◽  
Vishnu Kumar
Keyword(s):  
Stability Index ◽  
Yield Stability ◽  
Average Yield ◽  
Ammi Analysis ◽  
Ammi Model ◽  
Barley Genotypes ◽  
Genotype G1

The highly significant variances due to interaction, environments and genotypes were observed by AMMI analysis of salinity tolerant barley genotypes under multi location trials. The genotypes G6 and G13 with negative IPCA1 values showed positive IPCA2, IPCA3, IPCA4 values. Genotype G1 showed lowest value of D with smallest negative IPCA1 score (-0.013). Genotype G18 followed by G8, G1 and G5 were the stable performer based on ASV. Yield stability index advocated G8 followed by G5, G10, G4 and G12. The results of MASV indicated that genotypes G5, G1, G15, G17, G9 and G19 were stable, whereas genotypes G5, G9, G8 and G11 were the stable genotypes with relatively more average yield. Overall mean ranks of all of the AMMI estimates, genotypes G5, G1 and G8 were the most stable genotypes followed by genotypes G17 and G18.

scholarly journals Analysis of yield stability of malt barley genotypes under terminal moisture stressed areas of North Wollo, Ethiopia

2019 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Arega Gashaw ◽  
◽  
Agegnehu Mekonnen ◽  
Akalu Gebru ◽  
◽  
...  
Keyword(s):  
Yield Stability ◽  
Malt Barley ◽  
North Wollo ◽  
Barley Genotypes
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