tailieunhanh - Genetic divergence studies for yield components in blackgram (Vigna mungo L.) Genotypes

The investigation consisting of thirty five blackgram genotypes along with four check varieties viz., MBG-207, LBG-752, PU-31 and IPU-2-43 was carried out during rabi 2016 at Agricultural Research Station, Madhira. Three principal components viz PC I, PC II and PC III contributed about of total variance for the genotypes studied. The genotypes were grouped into nine distinct clusters of which cluster 1 is the largest with a maximum number (22) of genotypes followed by cluster 5 with 7 genotypes, cluster 3 with 4 genotypes. Highest intra cluster distance of was recorded for cluster 5. Data on cluster means for various traits showed that the highest mean value for number of clusters per plant and number of pods per plant was recorded by cluster VII. Cluster VIII recorded the highest mean for 100 seed weight followed by cluster III and cluster IV. Percent contribution revealed that days to maturity contributed the most () followed by number of cluster per plant (), seed yield per plant (), 100 seed weight () for total genetic divergence. | Genetic divergence studies for yield components in blackgram (Vigna mungo L.) Genotypes

• Sinh học
• Genetic divergence
• Genetic divergence studies
• Yield components
• Yield components in blackgram
• Vigna mungo L
• D2 Analysis
• Tagetes erecta
• Genetic divergence studies in marigold
• Clusters and genotypes
• Tomato (Solanum lycopersicum L )
• Genetic divergence studies in tomato
• Cluster analysis
• Potato (Solanum tuberosum L )
• Genetic divergence analysis in potato
• Genetic divergence analysis
• Genetic divergence studies for yield
• Quality traits in onion
• Horticultural traits
• Genetic divergence of horticultural traits
• Horticultural traits among olive
• Genotypes grown in temperate climate
• Genetic divergence studies for bulbing
• Related traits
• Garlic germplasm during
• Genetic diversity
• Genetic variability
• Genetic advance
• Gladiolus grandiflorus L
• Contributing traits
• Lowland rice
• Tocher’s method
• Lowland rice genotypes of Bihar
• Genetic divergence in lowland rice genotypes
• Rice (Oryza sativa L
• Mahalanobis’s D2 statistics
• Genetic divergence in rice
• Relationship between geographic distribution
• D2 Statistics
• Cluster distance
• Genetic divergence studies in bottle gourd
• Bottle gourd [Lagenaria siceraria (Molina) Standl ]
• Solanum lycopersicum L
• Mahalanobis D2
• Genetic divergence in tomato
• Agro morphic traits
• Based on agro morphic traits
• Pea based
• Genetic divergence in pea
• Crippling disease
• Genetic divergence analysis in grassspea
• Grassspea (Lathyrus sativus L
• Conducted during Rabi
• Genetic divergence for yield
• Quantitative traits in rice
• Other quantitative traits
• D 2 statistics
• Foeniculum vulgare
• Fennel genotypes
• Rice hybrids
• Clusters and D2 analysis
• Quality parameters
• Yield component traits
• Genetic divergence studies in rice
• Super early
• Cajanus cajan
• Super early pigeon pea
• Genetic divergence in brinjal
• Solanum melongena L
• Solanum melongena
• Indian mustard
• Indian mustard (Brassica juncea L )
• D 2 analysis and cluster analysis
• Genetic divergence in groundnut
• Groundnut (Arachis hypogaea L
• Botanical varieties using RAPD
• RAPD 16 primers belonging
• Allium sativum Morphological features
• Garlic (Allium sativum L )
• Morphological features
• Genetic divergence studies in garlic
• Non aromatic germplasm of rice
• Genetic divergence analysis in aromatic
• Genetic divergence for fibre yield
• Fibre yield
• Contributing traits in roselle
• D square analysis
• Sesame Germplasm
• Mahalanobis D square analysis