TAILIEUCHUNG - Multivariate diversity analysis for grain micronutrients concentration, yield and agro-morphological traits in pearl millet (Pennisetum glaucum (L) R. Br.)

Micronutrient malnutrition resulting from the dietary deficiency of important minerals such as Iron (Fe), Zinc (Zn), Copper (Cu) and Manganese (Mn) in the staple food crops like pearl millet leads to ubiquitous food-related health problems. In context to this present investigation was undertaken to study the phenotypic diversity among 48 maintainer (B) and restorer lines (R) of pearl millet genotypes for grain micronutrients concentration, yield and agro-morphological traits using multivariate approach. Higher range, large value of Shannon-weaver Diversity Index for both traits and genotypes and large differences in mean values for most of the characters showed that sufficient diversity existed among the genotypes and traits. Cluster analysis using unweighted pair group method of arithmetic averages (UPGMA) grouped the genotypes into five clusters with varied number which suggested the clear differentiation among B and R lines with some exceptions. Clustering of pearl millet genotypes from different geographical locations or source/origin into same cluster has confirmed that they are genetically related, and possibly from the same progenitor, but could have been separated by geographical or ecological barrier. The principal component analysis (PCA) revealed that most of the variation () was accounted by first four PCA and genotypes from maintainer were clustered into left side of the biplot graph while the lines from the restorer category were distributed throughout the PCA biplot graph. | Multivariate diversity analysis for grain micronutrients concentration, yield and agro-morphological traits in pearl millet (Pennisetum glaucum (L) R. Br.)

• Nông nghiệp
• Diversity analysis
• Diversity index
• Association analysis
• Cluster analysis
• Principal component
• Grain micronutrients
• Pearl millet
• Genetic diversity analysis in sunflower
• Genetic diversity analysis
• Parental lines
• RAPD markers
• Principal component analysis
• Genetic diversity
• Principal component analysis approach
• Brinjal (Solanum melongena L
• Brassica compestris
• Genetic diversity analysis based
• Molecular level
• SSR markers
• Turmeric (Curcuma longa L )
• Molecular diversity analysis in turmeric
• Molecular diversity analysis
• Onion genotypes through RAPD
• ISSR markers
• Genetic diversity remarkably
• Transmit diversity
• DVB H network coverage
• Application of transmit diversity
• Analysis of DVB H network coverage
• Mahalanobis D2 statistics
• Okra genotypes
• Morphological markers
• Genetic variability
• Similarity coefficient
• Soybean genotypes
• Molecular marker based genetic diversity
• Gossypium hirsutum L
• Cotton germplasm
• Agro morphological characterization
• Triticum aestivum
• D2 analysis
• Oil palm genotypes
• Genetic diversity in oil palm genotypes
• Multivariate analysis
• Dendrometric diversity
• Genetic conservation
• Genetic diversity of this tree species
• Quercus suber L
• Random amplified polymorphic DNA
• Polymerase chain reaction
• Genetic diversity analysis of citrus cultivars
• Landraces and salinity
• Saline stress condition
• Genetic diversity in traditional landraces
• Rice for yield
• Genetic diversity in onion
• Short day condition
• Genotypes into three clusters
• Molecular diversity
• Molecular marker
• Fennel (Foeniculum vulgare Mill)
• Implications for conservation
• Crop breeding
• Rice landraces
• Rice landraces of NW himalayas
• RAPD and ISSR markers
• Acrocarpus fraxinifolius
• ISSR analysis of genetic diversity
• Landscape elements
• Transition forest belt
• Luffa acutangula
• Quality using diversity
• Breeding potential of ridge gourd
• Ridge gourd [Luffa acutangula (roxb ) L ]
• Germplasm for growth
• Cassava genotypes
• Yield attributes in cassava genotypes
• Genetic diversity studies based
• Garcinia gummi gutta
• Molecular markers
• ISSR marker based genetic diversity analysis
• Garcinia accessions
• RAPD analysis for genetic diversity
• Hybridity in cowpea
• Primers revealed various levels
• Labeo rohita
• Hatchery and Dhaura reservoir
• Microsatellite markers
• RAPD based genetic diversity analysis
• Genotypes of Withania somnifera (L ) Dunal
• Crop improvement programme
• Twenty five genotypes of Ashwagandha