Understanding Genetic Diversity of Sorghum Using Quantitative Traits

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.

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Heritability of Productivity Elements of Chickpeas and its Importance for Practical Breeding

KnE Life Sciences ◽

10.18502/kls.v0i0.8962 ◽

2021 ◽

Author(s):

Svetlana Kuzmina ◽

Nina Kazydub ◽

Vladimir Panchenko

Keyword(s):

Genetic Diversity ◽

Quantitative Traits ◽

Genetic Factors ◽

Plant Genetic Resources ◽

Practical Interest ◽

Forest Steppe ◽

High Genetic Diversity ◽

Federal Research ◽

Growing Conditions ◽

Selection Of

This study examined the genetics of the variability in quantitative traits and showed the possibility of selecting hybrids with a new, more favorable combination of traits, which is of practical interest for breeding. The main goal of our research was to determine the coefficients of heritability by the mass of seeds and the number of beans per plant in hybrid combinations of chickpeas, which allowed establishing the potential of parental varieties in the transfer of valuable genes responsible for plant productivity to offspring and expanding the spectrum of plant genetic diversity. The experiments were conducted in the fields of the educational and experimental farm of the Omsk State Agrarian University in the southern forest-steppe of the Omsk region in 2016-2018. The research included 6 chickpea samples with a complex of valuable traits from the Federal Research Center of the All-Russian Institute of Plant Genetic Resources named after N.I. Vavilov (VIR, St. Petersburg) and 8 hybrid combinations obtained on their basis. It was found that the mass of seeds per plant was characterized by low heritability (H2 = 22.8%) and the number of beans per plant was high (H2 = 54.0%). The variability of the mass of seeds per plant was largely paratypical and was influenced by environmental conditions; the variability in the number of beans per plant was due to genetic factors and indicated a high genetic diversity in the studied splitting chickpea populations. Selection based on the number of beans per plant was highly effective even in early generations of the hybrids. Selection by the mass of seeds from the plant was ineffective; it should be carried out in later hybrid generations under favorable growing conditions. The selection of valuable genotypes was most successful in hybrid chickpea populations by seed weight per plant: C-35 x ILC-2394, C-80 x ILC-2394, C-27 x ILC-2394, and by the number of beans per plant: C-27 x ILC-2394, C-27 x ILC-2402 Keywords: chickpeas, heritability, selection, genetics, productivity

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Stability analysis of grain yield and its contributing traits in advanced mutant lines of sorghum [Sorghum bicolor (L.) Moench]

Indian Journal of Genetics and Plant Breeding (The) ◽

10.31742/ijgpb.80.4.14 ◽

2020 ◽

Vol 80 (04) ◽

Author(s):

Anjaneya . ◽

G. Girish ◽

Ashok Badigannavar ◽

S. Muniswamy ◽

L. N. Yogeesh ◽

...

Keyword(s):

Seed Yield ◽

Quantitative Traits ◽

Mean Value ◽

Panicle Length ◽

Stability Parameters ◽

Sorghum Genotypes ◽

Mutant Lines ◽

Coefficient Of Regression ◽

Sorghum Bicolor L ◽

100 Seed Weight

In the present study, 23 sorghum genotypes comprising 17 advanced mutant lines (M5) and six check varieties were evaluated for stability parameters over four locations during rabi 2017-18. Based on the ten morphological and yield traits, pooled ANOVA showed significant differences for the quantitative traits except for seed yield per plant. Mean sum of squares due to E+ (GxE) was significant for most of the characters except for days to flowering, and 100 seed weight. Environment component showed significant values for all traits. The GxE (linear) showed non-significant interaction for most of the characters in this study except for plant height, panicle length and seed yield. J-12 and J-3 mutants had mean value more than population mean and coefficient of regression near to unity and adapted to all situations.

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Genetic Diversity in Fiber Related Traits of Tossa Jute (Corchorus Olitorius L.) Germplam

SAARC Journal of Agriculture ◽

10.3329/sja.v18i2.51106 ◽

2021 ◽

Vol 18 (2) ◽

pp. 27-37

Author(s):

MT Islam ◽

BN Shompa ◽

J Rahman

Keyword(s):

Genetic Diversity ◽

Plant Height ◽

Quantitative Traits ◽

Principal Component ◽

Mean Value ◽

Base Diameter ◽

Eigen Values ◽

Cluster Distance ◽

Transgressive Segregants ◽

Total Divergence

Genetic diversity of twenty-one genotypes of tossa jute was studied through Mahalanobis D2 statistic and principal component analysis for 15 quantitative traits related to yield at the research farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh. The genotypes were grouped into four clusters. Cluster III contained the highest number of genotypes (nine), while cluster II had the lowest number of genotypes (three). The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the cluster. The highest intra-cluster distance was noticed for the cluster I and the lowest for cluster IV. The genotypes from cluster I could be selected as parents for hybridization for producing transgressive segregants. The highest inter-cluster distance was found between clusters I and IV followed by clusters I and III and the lowest was between clusters III and IV. Cluster IV recorded the highest mean value for plant height, base diameter, root length, leaf area, fresh weight with and without leaves, dry fiber weight and dry stick weight. In the total divergence, the highest contribution was recorded in plant height (65.1%) followed by base diameter (16.6%). The first two principal components, whose eigen values were greater than one, accounted for 81.7% of the total variations among the genotypes for fifteen fiber related traits. Considering the magnitude of cluster distance, cluster means for different characters and contribution of characters towards divergence, the genotypes G17, G18 from cluster IV; G1, G2, G5, G10, G16 from cluster I and G4 from cluster III could be selected as promising parents for hybridization program. SAARC J. Agri., 18(2): 27-37 (2020)

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Genetic Diversity Assessment of Quantitative Traits in Landraces of Aus Rice

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v29i2.33946 ◽

2016 ◽

Vol 29 (2) ◽

pp. 17-24

Author(s):

M. A. Siddique ◽

M. Khalequzzaman ◽

M. Z. Islam ◽

M. H. K. Baktiar ◽

M. S. Ahmed

Keyword(s):

Genetic Diversity ◽

Grain Yield ◽

Quantitative Traits ◽

Mean Value ◽

Principal Coordinate Analysis ◽

Tiller Number ◽

High Yielding Variety ◽

Diversity Assessment ◽

Days To Maturity ◽

1000 Grain Weight

Genetic diversity of 46 landraces of Aus rice was studiedunder irrigated condition through Mahalanobis D2 statistics for grain yield and yield contributing characters. The genotypes were grouped into seven clusters. The highest inter-genotype distance was observed between the genotypes Lalgalong and Langrabeni and the lowest between Saita and Korchamuri respectively. The intra cluster distances were low for all the clusters ranging from 0.64 in cluster IV to 1.17 in cluster I. The highest inter cluster value was 11.45 (between cluster III and V) and the lowest was 4.36 (between cluster VI and VII). The highest cluster means for effective tiller number and grain yield per hill were obtained from cluster III. On the other hand, the highest leaf width and the highest spikelet fertility from cluster IV, tallest plant and the highest grain breadth from cluster VI, the highest 1000-grain weight from cluster V whereas the lowest mean value for days to 50% flowering and days to maturity were found in cluster VI.The genotypes from cluster III could be hybridized with the genotypes of other clusters for producing transgressivesegregants. Canonicalvectoranalysis revealed that days to 50% flowering and days to maturity were contributed maximum to the genetic divergence. Principal Coordinate Analysis (PCoA) revealed that the genotypes Begun bitchi, Rang mahal, Laxmijhota, Katar, Chiknal, Manikmendal, Baismugurwere found far away from the centroid of the cluster and can be selected as parents for further breeding programs.The results suggested thatLalgalong (acc. no. 1655) and Langrabeni (acc. no. 1645) can be crossed with the genotypes of cluster III and cluster VI to develop more promising as well as high yielding variety for Aus season.

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Evolution and Selection of Quantitative Traits

10.1093/oso/9780198830870.001.0001 ◽

2018 ◽

Cited By ~ 141

Author(s):

Bruce Walsh ◽

Michael Lynch

Keyword(s):

Mathematical Models ◽

Quantitative Genetics ◽

Complex Traits ◽

Evolutionary Biology ◽

Quantitative Traits ◽

Specific Gene ◽

Real World Data ◽

Holistic Treatment ◽

Genetics And Genomics ◽

Selection Of

Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.

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Genetic Diversity Among Some Walnut (Juglans regia L.) Genotypes by SSR Markers

Sustainability ◽

10.3390/su13126830 ◽

2021 ◽

Vol 13 (12) ◽

pp. 6830

Author(s):

Murat Guney ◽

Salih Kafkas ◽

Hakan Keles ◽

Mozhgan Zarifikhosroshahi ◽

Muhammet Ali Gundesli ◽

...

Keyword(s):

Genetic Diversity ◽

Plant Genetic Resources ◽

Juglans Regia ◽

Genetic Distances ◽

Mean Value ◽

Central Anatolia ◽

Group Method ◽

Arithmetic Average ◽

Pair Group ◽

Principal Coordinates

The food needs for increasing population, climatic changes, urbanization and industrialization, along with the destruction of forests, are the main challenges of modern life. Therefore, it is very important to evaluate plant genetic resources in order to cope with these problems. Therefore, in this study, a set of ninety-one walnut (Juglans regia L.) accessions from Central Anatolia region, composed of seventy-four accessions and eight commercial cultivars from Turkey, and nine international reference cultivars, was analyzed using 45 SSR (Simple Sequence Repeats) markers to reveal the genetic diversity. SSR analysis identified 390 alleles for 91 accessions. The number of alleles per locus ranged from 3 to 19 alleles with a mean value of 9 alleles per locus. Genetic dissimilarity coefficients ranged from 0.03 to 0.68. The highest number of alleles was obtained from CUJRA212 locus (Na = 19). The values of polymorphism information content (PIC) ranged from 0.42 (JRHR222528) to 0.86 (CUJRA212) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), Principal Coordinates (PCoA), and the Structure-based clustering. The UPGMA and Structure clustering of the accessions depicted five major clusters supporting the PCoA results. The dendrogram revealed the similarities and dissimilarities among the accessions by identifying five major clusters. Based on this study, SSR analyses indicate that Yozgat province has an important genetic diversity pool and rich genetic variance of walnuts.

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Genetic diversity and population structure of ridge gourd (Luffa acutangula) accessions in a Thailand collection using SNP markers

Scientific Reports ◽

10.1038/s41598-021-94802-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Grimar Abdiel Perez ◽

Pumipat Tongyoo ◽

Julapark Chunwongse ◽

Hans de Jong ◽

Anucha Wongpraneekul ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Germplasm Collection ◽

Snp Markers ◽

Fixation Index ◽

Breeding Programs ◽

Total Fixation ◽

Unrooted Phylogenetic Tree ◽

Luffa Acutangula ◽

Selection Of

AbstractThis study explored a germplasm collection consisting of 112 Luffa acutangula (ridge gourd) accessions, mainly from Thailand. A total of 2834 SNPs were used to establish population structure and underlying genetic diversity while exploring the fruit characteristics together with genetic information which would help in the selection of parental lines for a breeding program. The study found that the average polymorphism information content value of 0.288 which indicates a moderate genetic diversity for this L. acutangula germplasm. STRUCTURE analysis (ΔK at K = 6) allowed us to group the accessions into six subpopulations that corresponded well with the unrooted phylogenetic tree and principal coordinate analyses. When plotted, the STRUCTURE bars to the area of collection, we observed an admixed genotype from surrounding accessions and a geneflow confirmed by the value of FST = 0.137. AMOVA based on STRUCTURE clustering showed a low 12.83% variation between subpopulations that correspond well with the negative inbreeding coefficient value (FIS = − 0.092) and low total fixation index (FIT = 0.057). There were distinguishing fruit shapes and length characteristics in specific accessions for each subpopulation. The genetic diversity and different fruit shapes in the L. acutangula germplasm could benefit the ridge gourd breeding programs to meet the demands and needs of consumers, farmers, and vegetable exporters such as increasing the yield of fruit by the fruit width but not by the fruit length to solve the problem of fruit breakage during exportation.

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Genetic markers and the selection of quantitative traits in forage grasses

Euphytica ◽

10.1007/bf02262641 ◽

1994 ◽

Vol 77 (3) ◽

pp. 269-275 ◽

Cited By ~ 36

Author(s):

M. D. Hayward ◽

N. J. Mcadam ◽

J. G. Jones ◽

C. Evans ◽

G. M. Evans ◽

...

Keyword(s):

Genetic Markers ◽

Quantitative Traits ◽

Forage Grasses ◽

Selection Of

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Genetic Similarity of Avena sativa L. Varieties as an Example of a Narrow Genetic Pool of Contemporary Cereal Species

Plants ◽

10.3390/plants10071424 ◽

2021 ◽

Vol 10 (7) ◽

pp. 1424

Author(s):

Magdalena Cieplak ◽

Sylwia Okoń ◽

Krystyna Werwińska

Keyword(s):

Genetic Diversity ◽

Avena Sativa ◽

Genetic Similarity ◽

Breeding Programs ◽

Central European ◽

Cereal Species ◽

Genetic Pool ◽

Selection Of ◽

High Genetic Similarity

The assessment of the genetic diversity of cultivated varieties is a very important element of breeding programs. This allows the determination of the level of genetic differentiation of cultivated varieties, their genetic distinctiveness, and is also of great importance in the selection of parental components for crossbreeding. The aim of the present study was to determine the level of genetic diversity of oat varieties currently grown in Central Europe based on two marker systems: ISSR and SCoT. The research conducted showed that both these types of markers were suitable for conducting analyses relating to the assessment of genetic diversity. The calculated coefficients showed that the analyzed cultivars were characterized by a high genetic similarity. However, the UPGMA and PCoA analyses clearly indicated the distinctiveness of the breeding programs conducted in Central European countries. The high genetic similarity of the analyzed forms allow us to conclude that it is necessary to expand the genetic pool of oat varieties. Numerous studies show that landraces may be the donor of genetic variation.

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Genetic diversity and natural selection on the thrombospondin-related adhesive protein (TRAP) gene of Plasmodium falciparum on Bioko Island, Equatorial Guinea and global comparative analysis

Malaria Journal ◽

10.1186/s12936-021-03664-8 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Li-Yun Lin ◽

Hui-Ying Huang ◽

Xue-Yan Liang ◽

Dong-De Xie ◽

Jiang-Tao Chen ◽

...

Keyword(s):

Genetic Diversity ◽

Plasmodium Falciparum ◽

Natural Selection ◽

Protein Structure ◽

Transmembrane Protein ◽

Fixation Index ◽

Bioko Island ◽

Adhesive Protein ◽

Trap Gene ◽

Selection Of

Abstract Background Thrombospondin-related adhesive protein (TRAP) is a transmembrane protein that plays a crucial role during the invasion of Plasmodium falciparum into liver cells. As a potential malaria vaccine candidate, the genetic diversity and natural selection of PfTRAP was assessed and the global PfTRAP polymorphism pattern was described. Methods 153 blood spot samples from Bioko malaria patients were collected during 2016–2018 and the target TRAP gene was amplified. Together with the sequences from database, nucleotide diversity and natural selection analysis, and the structural prediction were preformed using bioinformatical tools. Results A total of 119 Bioko PfTRAP sequences were amplified successfully. On Bioko Island, PfTRAP shows its high degree of genetic diversity and heterogeneity, with π value for 0.01046 and Hd for 0.99. The value of dN–dS (6.2231, p < 0.05) hinted at natural selection of PfTRAP on Bioko Island. Globally, the African PfTRAPs showed more diverse than the Asian ones, and significant genetic differentiation was discovered by the fixation index between African and Asian countries (Fst > 0.15, p < 0.05). 667 Asian isolates clustered in 136 haplotypes and 739 African isolates clustered in 528 haplotypes by network analysis. The mutations I116T, L221I, Y128F, G228V and P299S were predicted as probably damaging by PolyPhen online service, while mutations L49V, R285G, R285S, P299S and K421N would lead to a significant increase of free energy difference (ΔΔG > 1) indicated a destabilization of protein structure. Conclusions Evidences in the present investigation supported that PfTRAP gene from Bioko Island and other malaria endemic countries is highly polymorphic (especially at T cell epitopes), which provided the genetic information background for developing an PfTRAP-based universal effective vaccine. Moreover, some mutations have been shown to be detrimental to the protein structure or function and deserve further study and continuous monitoring.

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