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Integrating Multivariate Analysis and DNA Barcoding for Amaranth Germplasm Characterization and Promising Genotype

Adnan Kanbar1,2, Yaman Jabbour3, Peter Nick4

  • 1National Unit for Environmental Research and Services (NUERS), Research Sector, Kuwait University, P.O. Box 5969, Al-Shadadiya 13060, Kuwait.

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PubMed
Summary
This summary is machine-generated.

This study integrated multivariate biostatistics and DNA barcoding to characterize Amaranth (Amaranthus spp.) germplasm. It identified promising genotypes and validated selection criteria for improving this underutilized C4 crop.

Keywords:
AmaranthusITS markerMahalanobis D2genetic diversityheritabilitymultivariate statisticspath coefficientpsbA-trnH

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Area of Science:

  • Agronomy and Plant Breeding
  • Genetics and Genomics
  • Biotechnology

Background:

  • Amaranth (Amaranthus spp.) is a C4 plant with high nutritional and agronomic potential but remains underutilized.
  • Previous germplasm studies often lacked integrated phenotypic and molecular approaches, and multivariate methods were not systematically applied.
  • Species-specific selection indices for grain Amaranth are unexplored, hindering efficient breeding efforts.

Purpose of the Study:

  • To comprehensively characterize Amaranth genotypes using integrated multivariate biostatistics and DNA barcoding.
  • To identify promising Amaranth genotypes and validate selection criteria for grain yield improvement.
  • To explore species-specific genetic relationships and diversity within the Amaranth genus.

Main Methods:

  • Field experiments evaluated 84 Amaranth genotypes across six agronomic traits in a randomized complete block design.
  • DNA barcoding utilized chloroplast (psbA-trnH) and nuclear (ITS) markers for molecular characterization.
  • Integrated multivariate analyses included ANOVA, path analysis, stepwise regression, Mahalanobis D2, and Principal Component Analysis (PCA).

Main Results:

  • Significant genetic variability was observed, with grain yield showing the widest variation (CV = 28.55%).
  • Early flowering, long inflorescences, and heavy seeds were key determinants of grain yield, explaining 27% of variation.
  • Mahalanobis D2 identified nine outliers, with genotype G39 showing exceptional yield and desirable traits; molecular data confirmed genetic differentiation in outlier genotypes.

Conclusions:

  • The integrated approach provides breeders with well-characterized Amaranth germplasm, validated selection criteria, and prioritized parental materials.
  • Genotype G39 is a promising breeding candidate, and specific genotypes were identified as donors for plant architecture and seed size.
  • Further multi-location and multi-season evaluations are recommended to confirm the stability and adaptability of promising Amaranth accessions.