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Showing 3 results for Valizadeh

Maryam Ahmadi, Mustafa Valizadeh, Mahmoud Tourchi, Mohammad Moghaddam Vahed, Hossein Mohammadzadeh Jalaly,
Volume 1, Issue 1 (5-2014)
Abstract

For evaluation of genetic diversity among improved alfalfa varieties and Iranian landraces, 12 populations including five improved varieties (Kaysari, Kadi, Ranger, Mesmir, Seariver) and seven landraces (Gharayonje, Amozeynadin, Rahnani, Tazekand, Shazand, Hamedani, Yazdi) were evaluated using agronomic traits and enzyme markers. Thirty-five individuals of each variety were grown and analyzed in separate pots in a unbalanced completely randomized design (CRD). Analysis of variance for agronomic traits showed significant differences for most of the traits among improved and landrace varieties. For esterase and peroxidase enzymes based on presence or absence of enzyme bands (1, 0) eleven polymprphic isozyme bands were detected. For improved and landrace varieties Shanon index mean was 0.48 ± 0.246 and 0.519 ± 0.193, respectively, furthermore Nei genetic diversity index mean for improved and landraces was 0.327 ± 0.181 and 0.352 ± 0.148 respectively, suggesting no difference between improved and landrace varieties was found. Analysis of relation between isozyme markers and agronomic traits showed that there are significant differences between the presence of POX-4 and wet and dry yield in improved varieties.
Ali Akbar Asadi, Mostafa Valizadeh, Seyed Abolghasem Mohammadi, Manochehr Khodarahmi,
Volume 6, Issue 2 (3-2020)
Abstract

Dehydration is the most important limiting factor in agricultural production in arid and semi-arid regions, and water shortages (especially at the reproductive stages) due to lack of precipitation and unequal distribution are inappropriate for limiting the yield. In this research, cross between the Gasspard cultivar (dehydrated susceptible parent) and DN11 line (resistant parent) was performed. F1, F2, F3, BC1 and BC2 generations along with parents, were planted in a randomized complete blocks design with three replications in normal and water deficit conditions for two consecutive years. Physiological traits were measured for single plant samples. Weighted analysis of variance showed that water deficit stress caused significant decrease in flag leaf area and unsignificant decrease in stomatal conductance. Generation mean analysis for Chlorophyll index was accompanied by different results in terms of regression fitted models for each environment, but for stomatal conductance, the results of the generation mean analysis were the same in both environments. In addition to additive and dominant effects, epistatic interaction effects also played role in the inheritance of all studied traits. Most of these effects were double-effects. In flag leaf area, additive, additive × dominant and dominant × dominant effects were involved in inheritance. In water relative content, in addition to these effects, dominant effect was also involved in inheritance. Generations variance analysis showed that the gene action was additive for relative water content, dominant for flag leaf area and over dominant (in both conditions) for stomatal conductance. The gene action for Chlorophyll index under stress and normal conditions were over dominant and additive respectively.

Saman Valizadeh, Ahmad Ismaili, Hadi Ahmadi, Omid Ali Akbarpour, Bijan Bajalan, Ashkboos Amini,
Volume 6, Issue 2 (3-2020)
Abstract

Wheat is mostly cultivated at rainfed condition in Iran, so, water deficit stress has much effect on yield reduction. Hence, breeding activities are necessary for introduction of wheat tolerant genotypes to water deficit stress. In order to estimate the heritability and genetic correlation between traits of 36 wheat genotypes, an experiment was conducted in two separate conditions (water stress and non-stress) based on a randomized complete blocks design with three replications. Studied traits in wheat genotypes under water stress and normal condition showed significant differences for environment, genotype and genotype× environment interaction at 1 and 5% level of probability. The results of the factor analysis showed that the 6 first factor in normal condition explained 81.13% of total variance, and the 5 first factor in stress condition explained 74.96% of total variance. Estimation of genetic correlations based on REML approach revealed that biological yield, harvest index and number of grains per spike had the highest correlation with grain yield and these characteristics are of important for selecting the varieties with high yield under non-stress and stress conditions. Estimation of heritability based on REML approach showed that number of days to heading had the highest amount of heritability in both normal and stress conditions.


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