Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Fetien Abay
Total Records ( 2 ) for Fetien Abay
  Fiseha Baraki , Yemane Tsehay and Fetien Abay
  The study was carried out in three locations (a total of 7 environments) of Northern Ethiopia from 2011-2013 cropping seasons and thirteen sesame genotypes were evaluated. The objective of this study was to determine the magnitude of G×E interaction and stability of sesame genotypes. The experiment was laid out in randomized complete block design with three replications and a total plot size of 14 m2. The Additive Main effects and Multiplicative Interaction (AMMI) model for grain yield detected significant effects of the genotypes (37.3% Sum of Squares (SS)), environments (29.5% Sum of Squares) and Genotype×Environment interaction (25.9% SS). The model also extracted five significant Interaction Principal Component Analysis (IPCA) with a total of 96.9% SS and 90.3% corresponding degrees of freedom. Acc-034 (G4) (926.8 kg ha-1) followed by Acc # 031 (G1) (895.1 kg ha-1) had the highest average yield which was much greater than the grand mean (742.9 kg ha-1) and declared as area specific adapted genotypes. Based on the magnitude of the IPCA1, Yield Stability Index (YSI) and Sum of Interaction Principal Component (SIPC), Setit-1 (G12) with greater yield (832.7 kg ha-1) than the grand mean was declared as widely adapted genotype. Environments E1, E2 and E4 were unfavorable environments while E5, E6 and E7 were favorable environments and E3 was moderately favorable environment for most of the sesame genotypes.
  Shushay Chernet , Derbew Belew and Fetien Abay
  The aim of the study was to estimate the extent of genetic variability and association among characters. Thirty six tomato genotypes were evaluated at Humera Agricultural Research Center, Northern Ethiopia, during 2010/11 in 6x6 simple lattice design with two replications. Variance component method was used to estimate genetic variance, heritability and genetic advance. Highly significant difference (p<0.01) was observed among the tested genotypes for all the characters studied. Highest phenotypic (79.13 and 74.66) and genotypic coefficient of correlation (78.47 and 73.27) were observed for number of matured fruits per plant and fruit set percentage. The highest heritability estimate was recorded for number of matured fruits per plant (98.34) and the least for number of primary branches (47.36%). Yield per hectare had highest positive and highly significant phenotypic correlation with weight of fruits per plant (rp = 0.89), fruits per plant (rp = 0.85) and fruit set percentage (rp = 0.78). While it showed negative and highly significant phenotypic correlation with days to 50% fruiting (rp = -0.78) and days to maturity (rp = -0.68). The study generally, revealed the presence of adequate variability which can be exploited through direct selection or hybridization.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility