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Gholizadeh Amir,Dehghani Hamid,Akbarpour Omidali,Amini Ashkboos,Sadeghi Kaveh,Hanifei Mehrdad,Sharifi-Zagheh Aram 한국작물학회 2022 Journal of crop science and biotechnology Vol.25 No.5
In this study, 17 morphological and agronomic traits as indicators for identifying salinity tolerance genotypes in wheat were evaluated among a set of 110 different genotypes including advanced lines in breeding programs, wheat landraces collected from landraces throughout Iran, some well-known tolerant and sensitive cultivars and many commercial wheat cultivars. Plant materials were grown under non-saline (NS) and saline stress (SS) conditions (Electrical conductivity [EC] of 2 and 10 ds m -1 , respectively). The membership function value of salinity tolerance (MFVS) was used as a comprehensive index for evaluation and selection of wheat salinity tolerance. A comprehensive evaluation method, the membership function value of salinity tolerance (MFVS), which combined the salinity-tolerant coefficient (SC) of morphological and agronomic traits that could be easily estimated, was used to investigate the wheat salinity tolerance in this study. The mean value of all 17 traits decreased under saline stress condition, among the 17 traits, spike weight (SW), kernel weight per spike (KWS), number of fertile tillers (NFT), biological yield (BY) and grain yield (GY) decreased >25%. This suggested that these 5 traits were more sensitive to salinity stress. Ten genotypes with highly salinity tolerance were selected based on MFVS and could be applied for salinity tolerance improvement in wheat. Correlation analysis indicated that the wheat salinity tolerance was highly significantly and positively correlated with variations of 13 traits under both non-saline and saline stress conditions (P < 0.01). Factor analysis showed that salinity-tolerant coefficients of 5 traits of grain yield, biological yield, spike weight, kernel weight per spike and number of fertile tillers have the most interrelationships with the membership value of salinity tolerance (MFVS). Therefore, these five traits could be applied as an indicator to screen wheat germplasm for salinity tolerance in wheat breeding programs.
Estimation of Genetic Parameters of Body Weight Traits in Ghezel Sheep
Baneh, Hasan,Hafezian, Seyed Hasan,Rashidi, Amir,Gholizadeh, Mohsen,Rahimi, Ghodrat Asian Australasian Association of Animal Productio 2010 Animal Bioscience Vol.23 No.2
The present study was carried out to estimate genetic parameters for body weight traits in Ghezel sheep. The data set used was records of 9,221 lambs from 180 sires and 5,060 dams for birth weight (BW), 7,206 lambs from 167 sires and 4,497 dams for weaning weight (WW) and 6,112 lambs from 157 sires and 3,841 dams for 6-months weight (6 MW), which were collected from 1999 to 2007 (9-years) at Ghezel sheep Breeding Station in west Azarbaijan. Variance components and corresponding genetic parameters were obtained with univariate analyses fitting animal models using restricted maximum likelihood (REML) methods. The most suitable model for each trait was determined based on log likelihood ratio tests. Birth year, lamb gender, type of birth, age of dam and herd were significant sources of variation on BW, WW and 6 MW (p<0.01). Direct estimate of heritability for BW, WW and 6 MW was 0.24, 0.29 and 0.37, respectively. The estimate of maternal permanent environmental variance as a proportion of phenotypic variance was 0.09 and 0.05 for BW and WW, respectively. The results of this study showed that genetic progress for growth traits is possible by selection.