TAILIEUCHUNG - Characterization and genetic potential of ginger genotypes evaluated in Terai Region of West Bengal, India

Character association and path analysis studies were investigated in 2016-2017 and 2017- 2018 in all physical and rhizome characters of ginger to find out the influence of characters among themselves on yield. Characters were investigated according to the DUS descriptors as described by Indian Institute of Spices Research, Kozhikode, Kerala. Number of leaves had the highest positive direct effect () on yield followed by number of shoots () and rhizome thickness (). The correlation coefficients among the different characters at phenotypic and genotypic levels revealed that Rhizome thickness (*) was the only trait having positive and significant correlation with rhizome yield (t/ha). Number of leaves had the highest positive direct effect on yield followed by number of shoots and rhizome thickness indicating that selection should be made on the basis of these characters taking other characters into consideration, while making improvement in yield of ginger. In cluster analysis, gap statistics was done to find optimal number of clusters and two groups of clusters were found. So, genotypes GCP-39, SEHP-9, SE-8640, SG-2640, SE-8681 and ACC-247 should be chosen for cultivation among these genotypes in this region of West Bengal. | Characterization and genetic potential of ginger genotypes evaluated in Terai Region of West Bengal, India

• Sinh học
• Path analysis
• Rhizome thickness
• Levens test
• Cluster analysis
• Gap statistic
• Correlation coefficient
• Correlation and path analysis
• Path analysis study in Dolichos bean
• Genotypic correlations coefficient of yield
• Path analysis in blackgram
• Blackgram [Vigna mungo (L ) Hepper]
• Path co efficient analysis
• Cowpea [Vigna unguiculata (L
• ) Walp]
• Yield and yield components
• Ridge gourd
• Correlation studies and path coefficient analysis
• Path coefficient analysis
• Ridge gourd [Luffa acutangula (L
• ) Roxb
• Path analysis in pigeonpea
• Yield attribute component traits
• Highly significant association
• Mung bean
• Yield and its components
• Correlation and path analysis studies
• Path analysis studies
• Qualitative traits in tomato
• Path analysis studies of quantitative
• Fruit yield per plant
• Indigenous wheat
• Genetic advance
• Path analysis for grain yield
• Grain yield
• Genotypes and yield
• Tomato (Solanum lycopersicum L
• Path analysis studies for yield
• Genetic variability
• Component traits in greengram
• Path coefficient analysis for yield
• Path coefficient analysis in maize
• Maize (Zea mays L )
• Correlation and path coefficient analysis
• Attributing traits in rice
• Rice genotypes
• Path analysis study
• Path analysis study in cowpea
• Cowpea genotypes
• Randomized block design
• Path analysis and yield
• Path analysis in coriander
• Coriander genotypes
• Path analysis for quantitative traits in garlic
• Quantitative traits in garlic
• Character association
• Path analysis in 156 genotypes
• Foxtail millet genotypes
• Setaria italica L
• Quality components
• Horse gram
• Path coefficient analysis in horse gram
• Correlation in horse gram
• Path coefficient
• Path analysis studies in sesame
• Genotypes under foothill condition of Nagaland
• Genotypic path
• Phenotypic path
• Wheat (Triticum aestivum L )
• Genotypic path coefficient
• Chickpea Cicer arietinum L
• Correlation and path coefficient
• Long duration pigeonpea
• Path analysis for yield
• Pointed gourd
• Correlation and path coefficients
• Path coefficients
• Yield components in pointed gourd
• Association analysis
• Path analysis of yield
• Yield components in the RIL population
• Path coefficient analysis in tomato
• Tomato (Solanum lycopersicum L )
• Crop improvement of tomato
• Co efficient analysis in tomato
• Green pod yield
• Vegetable pea (Pisum sativum L )
• Path analysis for green pod yield
• Contributing traits