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Research Article Open access CC BY 4.0

Genetic Diversity Based on Morphological Traits of 19 Maize Genotypes Using Principal Component Analysis and GT Biplot

A. M. M. Al-Naggar, M. M. Shafik, R. Y. M. Musa

Annual Research & Review in Biology · pp. 68–85 · Published 14 Apr 2020

10.9734/arrb/2020/v35i230191

Abstract

Among the phenotypic, biochemical, and molecular methods employed in assessment of genetic diversity, the phenotypic method has proven efficient for the assessment, description and classification of germplasm collections to enhance their use in maize breeding. The objectives of the present study were: (i) to assess the extent of genetic diversity in a collection of Egyptian commercial maize hybrids and populations, through field evaluation under water and N stressed and non-stressed conditions, using morphological data based on Principle Component Analysis (PCA), (ii) to measure the genetic distance among these genotypes using UPGMA cluster analysis and (iii) to assess the relationship between grain yield and yield-related traits of maize genotypes using GT-biplot analysis. A two-year field experiment was conducted in a split-split plot design with 3 replications, where 2 irrigation regimes, three N rates and 19 maize genotypes occupied the main plots, sub plots and sub-sub plots, respectively. The germplasm was assessed for 21 agronomic traits. Highly significant differences (P ≤ 0.01) were observed among the maize hybrids and populations for all measured traits.  Results of the GT biplot in the present study indicated that high values of 100-Kernel weight, ears/plant, kernels/plant, kernels/row, plant height, nitrogen use efficiency, nitrogen utilization efficiency, and grain nitrogen content and short ASI could be considered reliable secondary traits for improving grain yield under stressed and non-stressed conditions. The highest genetic distance was found between G9 (SC-2055) and each of G15 (American Early Dent), G18 (Midland) or G19 (Ried Type). The Agglomerative Hierarchical Clustering based on phenotypic data assigned the maize genotypes into five groups. The different groups obtained can be useful for deriving the inbred lines with diverse features and diversifying the heterotic pools.

Phenotypic data PCA GT-biplot maize collections clustering.

References (57)

  1. 1 Principles and procedures of statistics.
  2. 2 Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot [DOI]
  3. 3 Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives [DOI]
  4. 4 Evaluation of Genetic Diversity of Soybean Introductions and North American Ancestors Using RAPD and SSR Markers [DOI]
  5. 5 Sequential Path Model for Determining Interrelationships among Grain Yield and Related Characters in Maize [DOI]
  6. 6 Genetic Variability and Correlation Coefficients of Major Traits in Early Maturing Rice under Rainfed Lowland Environments of Nepal [DOI]
  7. 7 Drought Tolerance in Maize: Indirect Selection through Secondary Traits versus Genomewide Selection [DOI]
  8. 8 A comparative study of molecular and morphological methods of describing genetic relationships in traditional Ethiopian highland maize [DOI]
  9. 9 Future progress in drought tolerance in maize needs new secondary traits and cross combinations [DOI]
  10. 10 Phenotypic diversity in Ethiopian durum wheat (Triticum turgidum var. durum) landraces [DOI]
  11. 11 Genetic diversity of African maize inbred lines revealed by SSR markers [DOI]
  12. 12 Identifying Essential Test Locations for Oat Breeding in Eastern Canada [DOI]
  13. 13 Genetic variation for maize root architecture in response to drought stress at the seedling stage [DOI]
  14. 14 Screening Corn Hybrids for Cold Tolerance using Morphological Traits for Early‐Season Seeding [DOI]
  15. 15 Morphological and agronomical characterization of sweet potato [Ipomoea batatas (L.) Lam.] germplasm collection from Tanzania [DOI]
  16. 16 Methodologies for estimating the sample size required for genetic conservation of outbreeding crops [DOI]
  17. 17 Relationships among Traits of Tropical Early Maize Cultivars in Contrasting Environments [DOI]
  18. 18 Analysis of genetic diversity and population structure in Saharan maize (Zea mays L.) populations using phenotypic traits and SSR markers [DOI]
  19. 19 Crop Variety Trials: Data Management and Analysis [DOI]
  20. 20 Maize response to elevated plant density combined with lowered N-fertilizer rate is genotype-dependent [DOI]
  21. 21 Multivariate Analysis of Grain Yield and Its Attributing Traits in Different Maize Hybrids Grown under Heat and Drought Stress [DOI]
  22. 22 Genetic variation and structure of maize populations from Saoura and Gourara oasis in Algerian Sahara [DOI]
  23. 23 Genetic diversity among INERA maize inbred lines with single nucleotide polymorphism (SNP) markers and their relationship with CIMMYT, IITA, and temperate lines [DOI]
  24. 24 Agro-morphological diversity of Nepalese naked barley landraces [DOI]
  25. 25 Variations in grain mineral concentrations of Turkish wheat landraces germplasm [DOI]
  26. 26 Genetic diversity of agro-morphological characters in Indian wheat varieties using GT biplot
  27. 27 Cluster and principle component analyses of maize accessions under normal and water stress conditions [DOI]
  28. 28 Characterization of West and Central African accessions from a pearl millet reference collection for agro-morphological traits and Striga resistance [DOI]
  29. 29 Differentiation among Maize (Zea mays L.) Landraces from the Tarasca Mountain Chain, Michoacan, Mexico and the Chalqueño Complex [DOI]
  30. 30 Genetic diversity in lowland, midaltitude and highland African maize landraces by morphological trait evaluation [DOI]
  31. 31 A simple ssr analysis for genetic diversity estimation of maize landraces [DOI]
  32. 32 Morphological diversity and relationships among the IPGRI maize (Zea mays L) landraces held in IITA
  33. 33 Mode of inheritance of low-N tolerance adaptive traits in wheat (Triticum aestivum L.) under contrasting nitrogen environments [DOI]
  34. 34 The Landraces of Maize (Zea mays L.): Diversity and Utility
  35. 35 Cluster and Principal Component Analysis in Maize [DOI]
  36. 36 Screening Corn Hybrids for Cold Tolerance Using Morphological Traits for Early‐Season Seeding [DOI]
  37. 37 Molecular marker technology linked to pest and pathogen resistance in wheat breeding.
  38. 38 Genetic variability and path coefficient in maize (Zea mays L.) genotypes [DOI]
  39. 39 Random amplified polymorphic DNA (RAPD) and simple sequence repeat (SSR) marker efficacy for maize hybrid identification
  40. 40 DIVERSITY OF MAIZE (ZEA MAYS L.) LANDRACES IN EASTERN SERBIA: MORPHOLOGICAL AND STORAGE PROTEIN CHARACTERIZATION
  41. 41 A Snap Shot of Spring Maize Cultivation in Kapurthala and Jalandhar Districts under Central Plain Zone of Punjab [DOI]
  42. 42 Analysis of yield performance and genotype × environment effects on selected maize (Zea mays) landrace accessions of India
  43. 43 Phenotypic diversity and relationships among Chilean Choclero maize (Zea mays L. mays) landraces [DOI]
  44. 44 Agro-morphological variability of Zea mays (L.) accessions collected in Southern Benin [DOI]
  45. 45 Visual assessment of sweet maize lines phenotype, according to UPOV descriptor, as indicator of heterosis [DOI]
  46. 46 The Effects of Genotype, Soil Water Deficit and Their Interaction on Agronomic, Physiologic and Yield Traits of Zea mays L. [DOI]
  47. 47 Introduction to a Special Issue on Genotype by Environment Interaction [DOI]
  48. 48 Tropical and Subtropical Maize in Asia: Production Systems, Constraints, and Research Priorities [DOI]
  49. 49 Phenotypic characterization of maize landraces from Sahel and Coastal West Africa reveals marked diversity and potential for genetic improvement [DOI]
  50. 50 Collection, evaluation and phenotypic diversity assessment of maize (Zea mays) germplasm from North Eastern Himalayan region [DOI]
  51. 51 Putative Mechanisms of Drought Tolerance in Maize (Zea mays L.) via Root System Architecture Traits [DOI]
  52. 52 Multivariate analysis based evaluation of maize genotypes under high temperature stress [DOI]
  53. 53 MOLECULAR AND MORPHOLOGICAL CHARACTERIZATION OF MAIZE GENOTYPES FOR OPAQUE 2 GENE AND YIELD CONTRIBUTING TRAITS [DOI]
  54. 54 Applied Multivariate Techniques. [DOI]
  55. 55 Genetic Resources and Crop Evolution [DOI]
  56. 56 Spanish Journal of Agricultural Research [DOI]
  57. 57 INTERNATIONAL JOURNAL OF EXPERIMENTAL RESEARCH AND REVIEW [DOI]

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