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Showing 24 results for Cluster Analysis

Samira Mohammadi, Ali Ashraf Mehrabi, Ali Arminian, Arash Fazeli,
Volume 1, Issue 1 (5-2014)
Abstract

Genetic diversity among 35 accessions of Ae. cylindrica using 17 ISSR primers were investigated. Totally, 190 alleles were amplified and 188 alleles (98.95%) o were polymorphic. Number of Amplified alleles ranged from 6 to 20 with average 11.18 alleles for each primer. Polymorphic information content (PIC) varied from 0.10 (primer UBC841) to 0.35 (primer UBC836). Marker index criterion ranged from 0.6 (primer UBC841) to 6 (primer 15). Cluster and Principal Coordinate Analysis could not completely separate accessions and showed no association between molecular diversity and geographic diversity of genotypes, indicating that there is high genetic diversity among accessions. West and south-west genotypes showed more diversity than genotypes from north and north-west of the country. Therefore, the center of diversity and origin of Aegilops cylindrica might be the western and south-western regions of country and this species might transferred from these regions to the northern parts of the country. Results of this study showed that ISSR markers are useful tools for management of genetic resources of wheat and their wild relative species.
Zeinab Bahari, Abdolali Shojaeiyan, Sajad Rashidi Monfared, Amin Mirshekari, Khadije Nasiri, Marzieh Amiriyan,
Volume 2, Issue 1 (5-2015)
Abstract

Knowledge about the amount of genetic diversity and understanding relationship between species and landraces is an important step in plant germplasm conservation. In this study, within and between genetic diversity of 17 dill landraces (Anethum graveolens L.) from different areas of Iran was evaluated using five ISSR markers. In total, 29 polymorphic bands were generated. The average of polymorphism was 54.7%. The highest and the lowest values of Polymorphic Information Contents were 0.46 for ((CA)8G primer) and 0.40 for ((AG)8T primer), respectively, and with an average of 0.43. Based on the highest and the lowest indices of Polymorphic Loci (0.392 and 0.248), expected heterozygosity (93.10 and 62.07) and shannon's Information Index (0.567 and 0.360) between all populations, the highest and lowest genetic diversity was detected among Ardebil and Azarshahr genotypes, respectively. The genetic dissimilarity matrix showed that Sari and Kerman populations had the highest genetic distance and Ardabil and Borazjan populations had the lowest ones. Partitioning variations within and between populations, using an analysis of molecular variance (AMOVA), showed that 12% of the total genetic variation existed between growing regions. Cluster analysis based on UPGMA method showed a poor relationship between genetic distance and the geographical grouping of dills.


Fatemeh Sahranavard Azartamar, Mortaza Ghadimzadeh, Reza Darvishzadeh,
Volume 2, Issue 2 (3-2016)
Abstract

Knowledge about the amount of genetic diversity and understanding relationship between genotypes are important steps in plant germplasm conservation and breeding activities. In this study, the genetic diversity among 106 sunflower lines was assessed by 30 microsatellite primers. A total of 71 alleles were detected. Number of alleles in microssatellite loci ranged from 2 to 4 with the average number of 2.207 alleles per locus. The effective number of alleles ranged from 1.058 in locus ORS718 to 3.147 in locus HA3040. The average number of effective alleles was 1.641. The mean of PIC value was 0.344. Based on allele number and PIC value, SSR loci such as HA3040 and ORS733 are considered appropriate markers for studying genetic diversity in oily sunflower. Based on the results of cluster analysis using Jaccard's similarity coefficient and complete algorithm, the lines were grouped into four groups. Nineteen six out of 106 genotypes were grouped according to their origins (research centers). The highest and lowest Nei genetic distances were 0.21 and 0.004 between “NOVARTIS and HUNGARY” and “SPII with ENSAT and INRA-MONTPOL” groups, respectively. Analysis of the population structure revealed 5 subpopulations in the studied panel. The results show that the assignment of lines to subpopulations is not concordance with their geographical distribution pattern. The genetic diversity and distance revealed by SSR markers can be used in oily sunflower crossing and breeding programs
Marziyeh Shazdehahmadi, Mahin Kharrazi,
Volume 2, Issue 2 (3-2016)
Abstract

Determination of genetic diversity of breeding material is the first step in breeding programs. Evaluation of tobacco genetic diversity is essential for breeding programs and preservation of genetic resources. Genetic diversity level in tobacco genotypes, is very important for selection of parents in breeding programs. In this study, genetic diversity of 100 tobacco genotypes was evaluated using 25 ISSR markers. Banding pattern based on the presence or absence of the bands showed with 0 and 1, respectively. Out of 237 fragments produced in total cultivars, 195 bands were polymorphic and average of polymorphism ranged from 4 to 12 per primer. Average of polymorphism percentage was 94.10. To determine the efficiency of ISSR markers, PIC and their polymorphic percentage was calculated. UBC 818, UBC 812 and UBC 815 had the best marker parameters and were introduced as the best primers for assessment of genetic diversity. In order to evaluate the genetic similarity between cultivars, different similarity coefficient (SM, Dice and Jaccard) was calculated and Mantel corresponding test was performed. Finally, dendrogram was drawn based on SM similarity coefficient and UPGMA algorithm and the Cofenetic coefficient was calculated. All genotypes formed two distinct clusters indicating the high efficiency of used primers in amplification the approximate parts of the genome. The principle coordinate analysis showed that the first three components could explain 79.65 % of total variance. Totally, evaluation the tobacco genetic diversity using ISSR markers is suitable and ISSR marker can be used as appropriate marker system to identify the diversity and genetic relationship for breeding programs of this plant.
Ensieh Taheri, Reza Shirzadian-Khorramabad, Gholamreza Sharifi-Sirchi, Atefeh Sabouri, Khadijeh Abbaszadeh,
Volume 2, Issue 2 (3-2016)
Abstract

Yarrow plant or plain short type yarrow, known as Achillea wilhelmsii C. kock, belongs to Asteraceae family. The present study was conducted in order to evaluate three different yarrow populations for determination of their genetic relationship, using morphological traits in the form of nested design as completely randomized with ten replications. General heritability of all traits ranged from 98 to 100, indicating a high heritability for these traits. The highest coefficient of genetic variation belonged to root diameter (1.66), indicating the existence of hifh diversity among genotypes. The lowest coefficient of genetic variation belonged to leaf length to width ratio (0.36), suggesting a low level of variation for this character. Based on PCA analysis, the first two components justified almost 90 percent of total variations. The three populations were nearly separated according to biplot analysis. Also, cluster analysis confirmed the biplot results and the populations were identified as three separated clusters which reflect the apparent difference among yarrow populations. The results of this study showed a wide genetic diversity for evaluated populations with regarding measured traits in Hormozgan province. Aforementioned findings indicated a dormant potentials of native yarrow populaton in south Iran and high value of these resources and obviously more attention need to be paid to identify, maintenance, assessing and apply them in breeding programs.
Mohammad Ali Ebrahimi, Rahim Mohammadian, Marouf Khalili,
Volume 3, Issue 1 (9-2016)
Abstract

Estimation of genetic variation in crops, a very important role in the development of breeding programs and preservation of genetic resources through morphological characteristics, is possible. To identifying genetic variation and double haploid barley lines classification in relation to germination traits, 72 lines derived from the cross of Steptoe and Morex were evaluated in randomized complete block design (RCBD) with two replications, at three conditions including normal and two salinity levels of NaCl (100 and 200 mM NaCl). Investigated traits in this study were coefficient of velocity of germination, final germination percentage, mean germination daily, germination rate index and average germination speed. The results indicated that considerable genetic variation among genotypes in all traits. Genetical correlation based on average of the three environments indicated that high significant correlation exist (r= 0.85**) between the daily germination and final germination percentage. In this study, the highest value of phenotypic and genotypic variation coefficient, broad and narrow sense heritability and genetic gain were calculated for final germination percentag. Based on cluster analysis, barley genotypes were grouped into three categories and genotypes of the third cluster, were superior coefficient of variation of germination, germination percentage, germination rate and mean daily germination index, but had low a mount of germination rate. Therefore, the genotype of this group can be used in breeding for high germination percentage. Using principle component analysis; five traits were grouped in the form of two new variables that explained 99.061 percent of the total variance. Analysis biplot indicated that the genotypes of first group have a high percentage of germination index and germination index coefficients.
Reza Nikooseresh, Goodarz Najafian,
Volume 3, Issue 1 (9-2016)
Abstract

In order to study genetic diversity, heritability and relation of some important traits with grain yield in bread wheat, 20 bread wheat irrigated lines evaluated using a randomized complete block design with three replications during two cropping cycles/years. Based on combined analysis results, there were a significant difference between genotypes. Also, in all traits, coefficient of phenotypic variation was greater than coefficient of genetical variation, indicating the effect of environment on investigated traits. The significant correlation between grain yield and number of days to maturity, spikes per m2 and the grains per spike. number of days to heading and number of days to maturity had highest heritability among traits, with 87 and 69%, respectively. Results of this showed that selection of early heading or shorter no. of days to heading and early maturing or shorter number of days to maturity is recommended to breeders for selection materials favorable for terminal warm condition and water shortage, preventing grain yield reduction. Results of cluster analysis showed that genotypes are divided in six groups. Totally, six superior genotypes from the fourth cluster were selected as superior lines. Based on bi-plot analysis, genotypes 14 and 5 showed the lowest genotype × trait interaction, but genotypes 16 and 8 showed the highest genotype × trait interaction.
Mohammad Reza Salavati Meybodi, Gholam Ali Ranjbar, Seyed Kamal Kazemitabar, Hamid Najafi Zarrini,
Volume 4, Issue 1 (9-2017)
Abstract

Water stress is one of the most common environmental stresses that limited tobacco production in IRAN. Identification of genetic diversity in tobacco germplasm and genetic relationships between traits help to improve tolerant varieties. In this study, the genetic diversity of 100 flue–cured tobacco (Nicotiana tabacum L.) cultivars was analyzed using 15 morpho-physiological traits and 25 ISSR primers. The cultivars were cultured in a simple lattice design (10×10) with two replications (with and without water stress) in Tirtash Tobacco Institute, Iran. Results showed relative water content (RWC) and cell membrane stability (CMS) in normal condition were significantly higher than stress condition. The estimated broadsense heritability was low for RWC and CMS that represents large environmental effects on these two traits. The results of genotypes clustering by UPGMA method with ISSR markers and by WARD method with morph-physiological traits did not match. Primer UBC814: (CT) 8A with 16 polymorphic bands of the 17 bands, had higher resolution than other primers and seems appropriate for molecular diversity studies in tobacco. The K394 genotype was identified as well as drought tolerant varieties. We can use results of this study for selecting genotypes with great genetic differences and chose the desirable traits and use in breeding programs for producing high heterosis hybrid with tolerance to drought stress in tobacco.
Mehdi Ramezani, Mehdi Rahimi,
Volume 4, Issue 1 (9-2017)
Abstract

Ispaghula (Plantago ovata) is used to reduce gastrointestinal and urinary tract infections, as well as control blood glucose and cholesterol levels in the human body. The phylogeny and genetic diversity of 22 different ecotypes of Ispaghula were evaluated using 12 ISSR markers and nine morphological and phenological traits. Analysis of variance showed that there were significant differences among cultivars for all traits. Cluster analysis grouped 22 different ecotypes of Ispaghula in two groups using UPGMA method based on field data. The assessment of genetic diversity among ecotypes based molecular markers showed that the 12 primers amplified 91 polymorphic bands. The maximum number of bands (11) was produced by UBC813 and primers UBC811 with 10 bands were in the next steps, respectively. The minimum band number (4) was produced by UBC824. Polymorphism information content (PIC) value was varied from 0.26 to 0.45 and Marker index (MI) was varied from 0.90 to 4.13. Cluster analysis using UPGMA based on molecular markers, placed 22 ecotypes in the study in five groups, include 1, 1, 2, 3 and 15 ecotypes, respectively. Grouping of ecotypes with molecular markers was different with classification of the ecotypes based morphological traits. According to the results, ecotypes that are far apart can be used in the breeding program of Ispaghula.
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Volume 4, Issue 2 (3-2018)
Abstract

Evaluation of genetic diversity in medicinal plants is one of the most important evolutionary and breeding goals. Recent developments in polymerase chain reaction brings the possibility of evaluation the individuals of a population in more sites of genome, and among different DNA molecular markers, the ISSR marker was successfully used in study of the genetic diversity of different plants. The genetic diversity of 43 individuals from five populations of Styrian Pumpkin (Cucurbita pepo var. styriaca) and 4 individuals from one population of C. maxima which cultivated in Shahid Beheshti University collection (Tehran, Iran) was investigated using 12 ISSR markers. Totally, 83 scorable bands were produced by ISSR markers and the mean for the produced band for each marker was 6.91 and 100% of scorable bands were polymorphic. Dendrogram was illustrated based on Jaccard coefficient similarity matric and algorithm of Complete Linkage. Based on cluster analysis, individuals of populations divided into five main groups. The results of the grouping through principal coordinate analysis and cluster analysis showed that groupings by the two mentioned methods were consonant with each other and have made a similarity grouping. The cophenetic coefficient was calculated as 0.97. Totally, the results of present study showed that the some of used ISSR markers could be useful for future study of genetic variation in Cucurbita pepo.
Halbibi Badirdast, Seyed Yahya Salehi-Lisar, Hossain Sabouri, Ali Movafeghi, Ebrahim Gholamalalipour Alamdari,
Volume 5, Issue 1 (9-2018)
Abstract

One of the main objectives of plant breeding is defining the relationship between genotype and phenotype. Nowadays, molecular markers provide powerful tools to evaluate this relationship for plant breeders. In this study, genetic diversity of 112 rice lines was evaluated by 20 pairs of SSR markers which linked to drought tolerant alleles. Totally, 77 polymorphic alleles with mean of 3.85 alleles per primer pairs were amplified. The minimum number of alleles was belonged to RM28199 and RM212 markers with 2 alleles, and the maximum number of alleles was belonged to RM72 marker with 6 alleles. The range of PIC for the examined markers was 0.30 to 0.72 and the mean of PIC was 0.58. The maximum amount of PIC was belonged to RM85 and RM20A markers and the minimum of PIC was belonged to RM28099 marker. Considering the gene diversity coeficient, RM28099 and RM 85 markers had minimum (0.33) and maximum (0.76) diversity, respectively. The stepwise regression analysis of the microsatellite data and morphologic traits identified 62 and 54 informative alleles for the evaluated traits in flooding and drought conditions, respectivly. Cluster analysis based on molecular data divided the genotypes into 7 groups. Considering the appropriate distribution of amplified DNA by the studied markers in this study, markers that have high separation power and high association with important agronomic traits in drought stress condition (if further experiments confirmed them), could be employed in plant breeding programs of drought stress.

Mahtab Samadi Gorji, Ali Zaman Mirabadi, Kambiz Forozzan, Mostafa Haghpanah,
Volume 5, Issue 2 (3-2019)
Abstract

This experiment was conducted to evaluate genetic diversity in 72 peanut accessions (Arachis hypogaea L.), which introduced from seed bank of Australia in training and seed production research center of oilseeds company, Iran. Twelve major morphological traits recorded during 2013 growing season using a randomized complete block design with three replications. The results showed that the difference between genotypes for all traits was significant. In addition, coefficient of phenotypic variation was greater than coefficient of genotypic variation for all traits, indicating the effect of environment on recorded traits. The broad-sense heritability ranged from 80.25% (for seed width) to 99.54% (for 100 seed weight) and was 96.85% for grain yield. The highest phenotypic and genotypic coefficients of variation obtained for the pod weight, thus, it is possible to improve this trait by selection method and this trait could use as a selection index to improve grain yield. Genetic correlation indicated a high significant correlation between grain yield with grain weight and pod yield. The studied genotypes divided to four groups by cluster analysis based on Ward method.

Elham Nasiri, Atefeh Sabouri, Akbar Forghani, Masoud Esfahani,
Volume 5, Issue 2 (3-2019)
Abstract

In order to select the best parents for crossings, plant breeders seek varieties or genotypes with highest genetic dissimilarities. This can be achieved by measuring the similarities among genotypes, using multivariate analysis methods such as cluster analysis. This study aimed to group 50 aerobic and lowland rice genotypes based on biochemical characteristics including Iron, Zinc, Manganese and protein, and their linked DNA markers. According to the cluster analysis results using Ward method, the genotypes were assigned to four groups. The third group, as the smallest group including three genotypes (IR82635-B-B-82-2, Caiapo, and Gohar), had the highest value for these micronutrients. Their mean value for Iron, Zinc, Manganese, and protein were 32.39, 34.15, 25.66 mg/kg and 6.71%, respectively. Also, all genotypes were classified into two main groups based on microsatellite markers information, that according to QTL mapping studies these markers were identified as linked to elements. So, the most of non-local genotypes and aerobic rice cultivars were assigned in a separate group. The correlation between Euclidean distance of elements and protein matrix and genetic similarity matrix (Nie) using Mental correlation test was estimated significant (p<0.01) that can be evidence of a genetic relationship between the SSR markers and genome controlling regions of elements in this population.
Seyede Minoo Mirarab Razi, Reza Shirzadian-Khorramabad2, Hossein Sabouri, Babak Rabiei, Hossein Hosseini Moghadam5,
Volume 6, Issue 1 (9-2019)
Abstract

Salinity is an important limiting factor in the production of more plants, including rice. Due to the limited amount of cultivated area, identification of tolerant genotypes to environmental stresses and especially salinity is very important. The aim of this study was to investigate the genetic diversity among 114 recombinant lines derived from the intersection of local Tarom × Khazar cultivars under non stress conditions and salinity levels of 8 dS/m in reproductive stage in a completely randomized design. Combined analysis of variance showed that the differences between lines was significant for all traits. Genotypic variation coefficients also showed that the highest genetic variation among the evaluated recombinant lines was related to the number of panicles per plant. In contrast, days to 50% flowering showed the least genetic variation among these lines. In non stress and stress conditions, the highest genotypic and phenotypic correlation coefficient was observed between grain yield and number of fill grain in seedlings. Based on the cluster analysis of grain yield, the lines were classified into four groups under normal conditions and were classified into three groups under salinity conditions. The third-party lines in both cases had a higher average than the overall average. In general, the results of this study showed that there is a significant genetic variation between the studied lines in terms of salt tolerance and this variety can be used in subsequent corrective programs. Accordingly, lines 83, 81, 56, 39, 37 and 89 were the most sensitive lines and lines 107, 101, 16, 100, 84, 98, 47, 32, 14, 29, 95, 63, 5, 49, 92 and 10 were the most tolerant lines to salinity stresses of 8 dS/m and they also had higher yields and yield components. Strained lines are proposed directly for cultivating saline or for transferring salt tolerance to commercial cultivars through future breeding programs.


Leili Tahani, Mehrana Koohi Dehkordi, Hamid Dehghanzade,
Volume 6, Issue 1 (9-2019)
Abstract

German chamomile (Matricaria chamomilla L.) is an s an annual plant of the composite family Asteraceae. This plant is native to the Mediterranean region, and some researchers have reported its origins in Asia. The aim of this study was to investigate the genetic diversity of nine chamomile populations using the SCoT marker. Ten SCoT primers were used. A total of 141 bands were produced, of which 140 bands (96.5%) showed polymorphism. Cluster analysis was performed using UPGMA algorithm based on Jaccard's coefficient of similarity. The results of cluster analysis and principal components analysis divided the chamomile population into four groups. The results of the analysis of molecular variance (AMOVA) showed that the inter-group variation was greater than the intra-group variation, so that 55% of variation was related to the diversity among the groups. The results of this study showed that SCoT markers have high efficiency in determining the genetic diversity and relationships of the chamomile populations.
Hossein Astaraki, Peyman Sharifi, Fatemeh Sheikh,
Volume 6, Issue 2 (3-2020)
Abstract

In order to estimation genotypic correlation and heritability of some faba bean traits, 26 faba bean genotypes were evaluated in a randomized complete block design with three replications during 2014-16 growing seasons in Agricultural Research Sation of Borujerd located in Lorestan province, Iran. The restricted maximum likelihood (REML) was used to estimate the genotypic and phenotypic correlations, broad sence heritability and genetic gain. Analysis of variance based on least squares and REML indicated significant effect of genotype on days to maturity, plant height, hundred seed weight, pod length and dry seed yield. Genotype×year interactions were significant on all of the traits except of pod length. Borujerd cultivar (G26) and G20 had the highest dry seed yield in both of years. REML results indicated a significant positive genetic correlation between dry seed yield and biological yield and plant height. Also, there were a significant negative phenotypic correlation between dry seed yield and days to maturity, and significant positive phenotypic correlation between dry seed yield and plant height, biological yield and harvest index. So, the selection of early maturing genotypes with a higher yield is achievable and selection can be done to improve the performance of dry seed yield. Cluster analysis indicated variability among genotypes. According to values of broad sence heritability and genetic gain for plant height and high genetic correlation of this trait and dry seed yield; plant height can be used as a suitable trait for improving dry seed yield by selection.

Peyman Masoumi, Fatemeh Amini, Hossein Ramshini,
Volume 6, Issue 2 (3-2020)
Abstract

Genetic diversity is the basis of breeding studies in many plant species and is one of the most important indicators for selecting parents. The aim of this experiment was to investigate the genetic diversity of tall fescue (Festuca arundinacea) using agronomic traits such as plant height, spring growth score, days to flowering, days to pollination, flag leaf length and width, panicle length, weight of 100 seed and seed yield per plant. The experiment was carried out in a randomized complete block design with three replications. Based on the results, the ecotypes were significantly different for all of the evaluated traits with the exception of 100 seed weight. The highest phenotypic variation coefficient (58.66), genetic variation coeficient (58.32) and heritability (0.97) were related to plant height. The correlation between traits showed that ecotypes with higher height, panicle length and flag leaf height and spring growth score have higher seed yield. The results of stepwise regression analysis showed that in the regression model for seed yield per plant, the panicle length, alone, justified 60.95% of the variation. Cluster analysis grouped 25 ecotypes into three groups. Analysis of variance of agronomic traits as well as yield and related traits showed that grouping caused mean squares between groups in all traits (except flag leaf width). In this study, high genetic diversity and high heritability for evaluated traits showed the potentials of genetic improvement.

Ali Dowlatshah, Ahmad Ismaili, Hadi Ahmadi, Karim Khademi, Daryoush Goudarzi,
Volume 7, Issue 2 (3-2021)
Abstract

Plant breeding researches is based on genetic diversity and evaluation of genetic diversity is also one of the most important steps in introduction of new cultivars. In this study, genetic diversity of 25 grass pea genotypes was studied based on randomized complete block design with three replicates in Khorramabad (Iran). Analysis of variance showed significant differences among genotypes for most of traits. Mean comparison showed that genotype IF1312 with the highest grain yield and genotypes IF1332 and IF471 with the highest dry and fresh forage yield had the best yield. Principal component analysis showed that the first 3 factors explained 62.64% of total variance. Based on cluster analysis, genotypes IF1307, IF1872 and IF471 with the highest grain and forage yield are belonged to one cluster. REML method was used to estimate genetic correlation and heritability of different traits. The highest amount of heritability (0.87) was estimated for number of immature grains and the least heritability (0.10) was estimated for total dry weight. Grain yield had a high and positive genetic correlation with forage yield, and biomass, percentage of leaf and dry forage yield also had a high and positive genetic correlation with fresh forage yield. Totally, genotype IF1307 had the best performance for most of traits compared to the other genotypes and had an acceptable forage yield among genotypes.

Hossein Zeinalzadeh-Tabrizi, Sadollah Mansouri, Abbas Fallah-Toosi,
Volume 8, Issue 1 (8-2021)
Abstract

Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a randomized complete block design with four replications over two years (2016 and 2017). Combined analysis of variance for seed yield of promising sesame lines showed that the effect of genotype and the three-way interaction of genotype × year × location at the level of 0.01% probability were statistically significant. Karaj-96 environment with 1346 kg/ha and Mashhad-96 environment with 1001 kg/ha had the highest and lowest mean yield, respectively. The highest and lowest mean seed yield among genotypes in all test environments were related to G6 line with 1444 kg/ha and G12 line with 762 kg/ha, respectively. Heatmap along with cluster analysis divided both genotypes and stability parameters into three groups. Based on cluster analysis, genotype G12 was clustered into the first group, genotypes G1, G3, G7, G8, and G13 were clustered into the second group and the rest of the genotypes along with the check cultivar Oltan were clustered into the third group. The genotypes of the second group with the highest rank in most criteria of stability stasistics were stable compared to other genotypes and among them, the genotypes G8, G1 and G3 (with mean yields 1417, 1398 and 1291 Kg/ha, repectively) were selected and recommended in the test locations due to their average yield above the average yield of all genotypes.
 

Samaneh Akbari, Omidali Akbarpour, Payam Pezeshkpour,
Volume 8, Issue 1 (8-2021)
Abstract

The challenge of the interaction of genotype × environment is one of the main issues in plant breeding. Various statistical methods to estimate the interaction of genotype × environment and choice the stable and productive genotype(s) have been introduced. In this study, 14 lentil genotypes along with two controls (Sepehr and Gachsaran cultivars) were evaluated during four growing seasons (2016-2020). The experiments were conducted in a randomized complete blocks design in three replications at Sarab Changai Agricultural Research Station, Khorammabad (Iran). The combined analysis of variance was used to investigate the interaction of genotype × environment, and results of the analysis showed significant effects for genotype, year, and genotype × environment interaction. Genotypes G5 (FLIP2014-032L) and G12 (ILL8006) were introduced based on Si(1), Si(2), and NPi(1) statistics as stable and high-yielding genotypes. Based on various non-parametric statistics, genotypes G5 (FLIP2014-032L) with a mean grain yield of 1574.68 kg.ha-1 and G12 (ILL8006) with a mean grain yield of 1333.6 kg.ha-1 were introduced as stable genotypes. The heritability rate was estimated on the plot mean basis for yield trait in four years (0.61 ± 0.18) which indicated the capability of the studied genotypes to be selected and improved for grain yield. Based on the results of cluster analysis, the genotypes were divided into three main clusters. The highest distance was observed between the second and third groups. The first cluster included highly stable genotypes.


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