Analysis of yield and genetic diversity among Kewal local rice mutant lines based on STS markers

2021 ◽  
Author(s):  
Azri Kusuma Dewi ◽  
Sherly Rahayu ◽  
Ita Dwimahyani ◽  
Reflinur
Keyword(s):  
Genetic Diversity ◽  
Sts Markers ◽  
Rice Mutant ◽  
Mutant Lines

scholarly journals Genetic Diversity and Relationship Assessment based on AFLP Analysis in Blackberry (Rubus fructicosus L.) Mutant Lines

2014 ◽  
Vol 2 (4) ◽  
pp. 386-395 ◽  
Author(s):  
Jaihyunk Ryu ◽  
Bo-Keun Ha ◽  
Dong sub Kim ◽  
Jin-Baek Kim ◽  
Sang Hoon Kim ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Aflp Analysis ◽  
Relationship Assessment ◽  
Mutant Lines

scholarly journals Understanding Genetic Diversity of Sorghum Using Quantitative Traits

Scientifica ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sweta Sinha ◽  
N. Kumaravadivel
Keyword(s):  
Genetic Diversity ◽  
Quantitative Traits ◽  
Hierarchical Cluster ◽  
Mean Value ◽  
Cereal Crop ◽  
Forage Sorghum ◽  
Precision Breeding ◽  
Sorghum Grain ◽  
Mutant Lines ◽  
Selection Of

Sorghum is the important cereal crop around the world and hence understanding and utilizing the genetic variation in sorghum accessions are essential for improving the crop. A good understanding of genetic variability among the accessions will enable precision breeding. So profiling the genetic diversity of sorghum is imminent. In the present investigation, forty sorghum accessions consisting of sweet sorghum, grain sorghum, forage sorghum, mutant lines, maintainer lines, and restorer lines were screened for genetic diversity using quantitative traits. Observations were recorded on 14 quantitative traits, out of which 9 diverse traits contributing to maximum variability were selected for genetic diversity analysis. The principle component analysis revealed that the panicle width, stem girth, and leaf breadth contributed maximum towards divergence. By using hierarchical cluster analysis, the 40 accessions were grouped under 6 clusters. Cluster I contained maximum number of accessions and cluster VI contained the minimum. The maximum intercluster distance was observed between cluster VI and cluster IV. Cluster III had the highest mean value for hundred-seed weight and yield. Hence the selection of parents must be based on the wider intercluster distance and superior mean performance for yield and yield components. Thus in the present investigation quantitative data were able to reveal the existence of a wide genetic diversity among the sorghum accessions used providing scope for further genetic improvement.

scholarly journals Genetic Variability and Selection Criteria in Rice Mutant Lines as Revealed by Quantitative Traits

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Yusuff Oladosu ◽  
M. Y. Rafii ◽  
Norhani Abdullah ◽  
Mohammad Abdul Malek ◽  
H. A. Rahim ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Agronomic Traits ◽  
Field Trials ◽  
Growth And Yield ◽  
Yield Traits ◽  
New Variety ◽  
Rice Mutant ◽  
Group I ◽  
Vegetative Traits ◽  
Mutant Lines

Genetic based knowledge of different vegetative and yield traits play a major role in varietal improvement of rice. Genetic variation gives room for recombinants which are essential for the development of a new variety in any crop. Based on this background, this work was carried out to evaluate genetic diversity of derived mutant lines and establish relationships between their yield and yield components using multivariate analysis. To achieve this objective, two field trials were carried out on 45 mutant rice genotypes to evaluate their growth and yield traits. Data were taken on vegetative traits and yield and its components, while genotypic and phenotypic coefficients, variance components, expected genetic advance, and heritability were calculated. All the genotypes showed variations for vegetative traits and yield and its components. Also, there was positive relationship between the quantitative traits and the final yield with the exception of number of tillers. Finally, the evaluated genotypes were grouped into five major clusters based on the assessed traits with the aid of UPGMA dendrogram. So hybridization of group I with group V or group VI could be used to attain higher heterosis or vigour among the genotypes. Also, this evaluation could be useful in developing reliable selection indices for important agronomic traits in rice.

Genetic diversity and mating system of post-fire and post-harvest black spruce: an investigation using codominant sequence-tagged-site (STS) markers

2001 ◽  
Vol 31 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Daniel J Perry ◽  
Jean Bousquet
Keyword(s):  
Genetic Diversity ◽  
Mating System ◽  
Negative Impact ◽  
Black Spruce ◽  
Sequence Tagged Site ◽  
Sts Markers ◽  
Advance Regeneration ◽  
Spruce Stands ◽  
Fixation Indices ◽  
Fire Origin

cDNA-based sequence-tagged-site (STS) markers were used to examine the genetic composition of three mature, layer-origin populations of black spruce (Picea mariana (Mill.) BSP), which were the result of logging operations in the first half of the 20th century, and compare them with four mature, seedling-origin populations that regenerated naturally following fire. The amount of STS-marker variation revealed in these populations was very similar to that previously observed in a rangewide panel of black spruce trees. There was little differentiation among populations, and no significant differences in heterozygosities, numbers of alleles, or fixation indices were evident between layer-origin and fire-origin stands. Likewise, when mating-system parameters were estimated in one population of each of these two types, no significant differences were found; outcrossing was essentially complete with no evidence of mating among relatives. The estimated correlation of paternity within progeny arrays was about 17 and 13% in the fire-origin and layer-origin stands, respectively, but again the observed difference was not statistically significant. At least at the current scale of sampling, silvicultural practices that result in stand replacement by layer-origin advance regeneration appear not to have had negative impact upon the genetic diversity or level of inbreeding in second-growth black spruce stands.

scholarly journals Stability of Rice Mutant Lines By Linear Mixed Model And Suggestion A New Index Based For Yield Performance And Stability

2021 ◽  
Author(s):  
Peyman Sharifi ◽  
Ali Akbar Ebadi ◽  
Mohammad Taher Hallajian
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Weighted Average ◽  
Principal Component ◽  
Fars Province ◽  
Yield Performance ◽  
Rice Mutant ◽  
Superior Genotypes ◽  
Mutant Lines

Abstract Fourteen rice mutant lines with four cultivars were evaluated in a randomized complete block design with three replications in three locations in Iran (Rasht, ChaparSar and Fars province) during two growing seasons (2014-2016). In addition, a new index namely as equivalent index of stability and performance (EISP) is suggested for simultaneous evaluation of yield performance and stability. The heat map of yield performance and WAASB (weighted average of absolute scores based on BLUP (best linear unbiased prediction)) identified G3, G9, G6, G12 and G5 as highly productive and stable genotypes. Based on the analysis by multi-trait stability index (MTSI) G7, G5 and G1 were selected as superior genotypes. The top five superior genotypes based on harmonic mean and of the relative performance of genotypic values (HMRPGV) were G5, G12, G7, G2 and G1. For verification of EISP, its value was calculated for some of multi and univariate stability indices and identified genotypes G5 and G12 as the best ones. Principal component analysis indicated yield positively correlated with HMGV, RPGV, HMRPGV, EIS2P EIbP and EIPiP. In conclusion, G12, G5 and G9 had a significant advantage over all genotypes and could undergo selection or cultivar introduction processes.

scholarly journals Genetic diversity of elite wheat mutant lines using morphological characters and molecular markers

2020 ◽  
Vol 16 (12) ◽  
pp. 1766-1776
Author(s):  
K. Chemwok Philip ◽  
G. Kinyua Mirriam ◽  
K. Kiplagat Oliver ◽  
K. Ego Amos
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Morphological Characters ◽  
Mutant Lines ◽  
Wheat Mutant

scholarly journals Marker Assisted Selection for Bacterial Leaf Blight Rice Mutant Lines Resistant

2016 ◽  
Vol 20 (1) ◽  
pp. 11
Author(s):  
A. Aryanti ◽  
A. Almaida ◽  
Rika Heryani ◽  
Nana Supriatna
Keyword(s):  
Gamma Rays ◽  
Marker Assisted Selection ◽  
Rice Variety ◽  
Positive Control ◽  
Negative Control ◽  
Rice Mutant ◽  
Xanthomonas Oryzae Pv.Oryzae ◽  
Pcr Method ◽  
Mutant Lines ◽  
Selection Of

Induction of mutation using gamma rays for improving of Mira-1 rice variety has been conducted.Rice mutant lines M2 generation have been obtained from mutation by the doses of 25, 50, 75, 100, 150 and200 Gy of gamma rays. Selection of mutant lines tolerant to the disease was only observed in the field neithergenetically. Marker assisted selection is a tool to obtain a new rice variety tolerant to the disease of bacterialleaf blight (BLB) genetically. Xanthomonas oryzae pv.oryzae (Xa) was the pathogen of BLB, and the identificationof rice mutant lines which were containing of Xa5, Xa13 and Xa21 genes have been done using PolymeraseChain Reaction ( PCR ) method. The result showed that one mutant line, and four mutant lines from mutationby the doses of 25 Gy and 150 Gy were containing Xa5, Xa13 and Xa21 genes the same as that of Code ricevariety as positive control, and none in Kencana Bali rice variety as negative control. Mira-1 rice variety as theparent plant was only contains Xa5 and Xa21 genes. The doses of 50 Gy and 100 Gy were very affective onremoving of all bands for identification of those genes. The purpose of this research was to obtain the mutantlines which were contain of those Xa genes as indicator for resistant to BLB disease genetically.

scholarly journals Genetic Diversity of Mutant Lines of Rice Using RAPD Markers

2018 ◽  
Vol 31 (3) ◽  
pp. 1-6
Author(s):  
Sonam Kumari ◽  
Pankaj Kumar ◽  
Bishun Deo Prasad
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
Mutant Lines
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