Ali Hadi Almamouri; Mohsen Ebrahimi; Khalil ZeinaliNejad
Abstract
Objective: Wheat (Triticum aestivum L.) is the first grain in the world in terms of its importance and amount of production. The aim of this research is to find the genetic diversity among the spring wheat genotypes.
Methods: In this study, the genetic diversity of 32 spring wheat genotypes cultivated ...
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Objective: Wheat (Triticum aestivum L.) is the first grain in the world in terms of its importance and amount of production. The aim of this research is to find the genetic diversity among the spring wheat genotypes.
Methods: In this study, the genetic diversity of 32 spring wheat genotypes cultivated in the Gorgan University of Agricultural Sciences and Natural Resources in the crop year of 1401-1400 was investigated by measuring 12 kernel and flour quality traits.
Results: The results of analysis of principal components illustrated that the first five components explained a total of 89.05 percent of the variation among traits. The cluster analysis divided the studied genotypes into four groups. Based on the obtained results, the cultivars in the first group, all of which were Iranian, had the highest values of grain gluten, flour gluten and flour protein. The second group, which included the genotypes of Iraq, had the highest values in terms of grain moisture and index, and the lowest values in terms of flour protein, falling number, and hectoliter.
Conclusion: The studied spring wheat cultivars showed high genetic diversity in terms of traits. Therefore, suitable parents can be selected based on the desired trait, for crossing between cultivars in future breeding programs.
Mohammad saeed Hasanvandi; Mostafa Hosseinpour; Abazar Rajabi; Seyed Bagher Mahmoudi; Dariush Taleghani; Saeed Sadeghzadeh Hemayati; ghasem parmoon
Abstract
The present study has been conducted to compare new sugar beet cultivars for quantitative and qualitative traits in autumn sown condition as randomized complete block design at Safiabad agricultural and natural resources research and education center in 2017-2018. It has included 22 new sugar beet cultivar, ...
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The present study has been conducted to compare new sugar beet cultivars for quantitative and qualitative traits in autumn sown condition as randomized complete block design at Safiabad agricultural and natural resources research and education center in 2017-2018. It has included 22 new sugar beet cultivar, investigated in three replications. Measured traits included number of leaf in plant, root yield, sugar content, white sugar content, white sugar yield, extraction coefficient of sugar, sodium, potassium, α-amino nitrogen, molasses sugar, and alkaloid ratio. The results show that all the measured traits in the cultivars have differed significantly. Highest root yield and white sugar yield are obtained from Callas and Honey cultivars with 125 and 113 ton/ha root yield and 13.5 and 13.6 ton/ha white sugar yield, respectively. Highest sugar and white sugar content with 15.75% and 13.63% are obtained from Sporta. Highest and lowest extraction coefficient of sugar are related to Sporta (86.5%) and Sharif (72.6%), respectively. The range of sodium, potassium, and α-amino nitrogen content has been from 1.54 to 4.26, 2.25 to 3.95, and 1.78 to 3.22 mEq, respectively. In total, to achieve maximum income for the farmer it is recommended that Callas and Honey cultivars or other cultivars that are in the same group with these cultivars should be used to obtain maximum root and sugar yield.
Hamid Jabbari; Hamid Reza Fanaei; Farnaz Shariati; Hamid Sadeghi Garmarodi; Mohamad Abasali; Amir Hasan Omidi
Abstract
This study evaluates the genetic diversity of 122 safflower genotypes from the institute of plant genetics and crop plant research (IPK) and International Maize and Wheat Improvement Center (CIMMYT). It compares their agronomic characteristics with five Iranian Safflower cultivars. Conducted at research ...
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This study evaluates the genetic diversity of 122 safflower genotypes from the institute of plant genetics and crop plant research (IPK) and International Maize and Wheat Improvement Center (CIMMYT). It compares their agronomic characteristics with five Iranian Safflower cultivars. Conducted at research field of Seed and Plant Improvement Research Institute in Karaj between 2017 and 2018, the experiment uses an Augmented with randomized complete block design. Results indicate high genetic variation in the germplasm. Among safflower genotypes, thirty-six genotypes without thistle, eighty-one genotypes with thorns, and ten genotypes with few thistle have been observed. Principal component analysis helps identifying three main components that account for 56.5% of the total variations. The first and second components account for 29.5% and 15.9% of the total variation, respectively. These are named as a yield components and phenology and plant architecture, respectively. Safflower genotypes are divided into four groups by principal components analysis (PCA). Genotypes in the first groups have the higher grain yield than others. Genotype No. 70 with the highest grain yield (5667 kg.ha-1) is placed in this group. Numerical values of yield components such as 1000-seed weight, number of heads, and number of seeds per plant in the third group stand higher than other groups. Generally, German genotype No. 70 with high yield and genotype No. 45 with early flowering can be used in safflower breeding programs.
Erfan Sepahvand; Ali Momenpour; Ali Imani; Mahmoud Ghasemnejad
Abstract
This research was conducted to study some vegetative and reproductive traits as well as qualitative andquantitative characteristics and their correlation in 80 almond genotypes. Qualitative traits were studiedaccording to gulcan descriptor. Quantitative traits were analyzed as completely randomized design(CRD), ...
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This research was conducted to study some vegetative and reproductive traits as well as qualitative andquantitative characteristics and their correlation in 80 almond genotypes. Qualitative traits were studiedaccording to gulcan descriptor. Quantitative traits were analyzed as completely randomized design(CRD), with 12 replications. The results showed that genotypes had significant difference in fruit, nut,kernel weight and kernel to nut weight ratio. No169 genotype was very late blooming and had large sizeand moderate quality fruits. Fruit, nut and kernel weight in this genotype were 12.50, 4.75 and 1.28,respectively. Kernel of this genotype was sweet with low shriveling, which are important of consumeracceptance. The traits correlation showed that fruit, nut and kernel weight and size, had significantpositive correlation together. Also, kernel taste had significant negative correlation with pubescence,shriveling and color intensity of kernel. Results of cluster analysis showed that, in Euclidean distance of25, all genotypes were divided into two main branches. With decrease in the Euclidean distance from 25to 5, the genotypes were divided into eight main subclusters. Cluster analysis revealed that the traits oftree high and growth vigor, fruit, nut and kernel size and shell sofftness and hardness were the maincharacteristics separating the genotypes.
Mohsen Ebrahimi; Mohammad Golbashi; MohammadReza Bihamta; Abdolhadi Hossein zadeh; Manijeh Khiyalparast
Volume 13, Issue 2 , March 2012, , Pages 27-40
Abstract
To study the phenotypic and genotypic diversity of some important agronomic traits associated with yield in white beans, 30 genotypes of white bean were evaluated using a randomized complete block design with four replications in two environments under water stress and non stress conditions. Analysis ...
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To study the phenotypic and genotypic diversity of some important agronomic traits associated with yield in white beans, 30 genotypes of white bean were evaluated using a randomized complete block design with four replications in two environments under water stress and non stress conditions. Analysis of variance for most of the traits showed significant differences among genotypes, indicating the existence of genetic variation among varieties. Most traits were affected by the stress. The results indicated that grain yield, weight of pod, biological yield, number of grain per plant and number of pod per plant in white bean reduced under water stress condition whereas, evaluation of drought resistance in bean genotypes, showed that stress tolerance index (STI) and mean productivity (MP) and geometric mean productivity (GMP) were the best criteria for recognizing tolerant genotypes (21 and 30). Under both condition weight of pod was highly correlated with the grain yield. Factor analysis was performed for genotypes both under water stress and non stress conditions and under both conditions three common factor have been extracted, which described most of traits variations. Stepwise regression analysis showed that in water stress conditions, pod weight, harvest index, 100 grain weight and number of grain per plant and in non stress conditions pod weight, harvest index and biological yield have the highest effect on grain yield. Result of path analysis showed that the highest direct positive effect was related to weight of pod under both condition. In classification of genotypes based on phenotypic characteristics, using cluster analysis (UPGMA), all genotypes classification into three separate groups under non stress and stress condition.