tailieunhanh - Genetic analysis of quality traits in bread wheat

10 bread wheat genotypes were crossed in diallel fashion excluding reciprocals. The F1s and the parental lines were then utilised for combining ability analysis. Analysis of variance (ANOVA) showed the presence of significant variation for all four quality traits. ANOVA showed highly significant estimates of mean square for general combining ability for sedimentation value, hectolitre weight and phenol colour reaction however for protein content it was significant. Mean square for specific combining ability was highly significant for sedimentation value and phenol colour reaction while for protein content and hectolitre weight it was nonsignificant. | 2020 9 2 929-938 EXCELLENT PUBLISHERS International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 9 Number 2 2020 Journal homepage http Original Research Article https Genetic Analysis of Quality Traits in Bread Wheat Anjali Joshi Anil Kumar Vartika Budhlakoti and Nidhi Bhatt Department of Genetics and Plant Breeding College of Agriculture Govind Ballabh Pant University of Agriculture and Technology Pantnagar . Nagar 263145 Uttarakhand India Corresponding author ABSTRACT Keywords Bread wheat quality traits GCA Sca Article Info Accepted 08 January 2020 Available Online 10 February 2020 10 bread wheat genotypes were crossed in diallel fashion excluding reciprocals. The F1s and the parental lines were then utilised for combining ability analysis. Analysis of variance ANOVA showed the presence of significant variation for all four quality traits. ANOVA showed highly significant estimates of mean square for general combining ability for sedimentation value hectolitre weight and phenol colour reaction however for protein content it was significant. Mean square for specific combining ability was highly significant for sedimentation value and phenol colour reaction while for protein content and hectolitre weight it was nonsignificant. Parental line UP 2762 KFA 2 KACHU and Raj 4419 showed superior general combining ability for more than one quality traits. On the basis of high per se performance and significant SCA effects in desired direction Raj 4419 x PBW 729 KAUZ ALTAR84 3 MILAN KAUZ 4 HUITES x UP 2762 PBW 729 x DBW 50 and Raj 4419 x NIAW 1594 were identified as superior cross combiners for protein content sedimentation value hectolitre weight and phenol colour reaction. These crosses can therefore be exploited commercially either in development of hybrid varieties with improved quality traits or in recovery of superior transgressive segregants which can be .

• Nông nghiệp
• Genetic analysis
• Quality traits in bread wheat
• Bread wheat
• Quality traits
• General combining ability
• Genetic variability
• Genetic advance
• Genetic variability analysis in Ashwagandha
• Genetic variability analysis
• Characters indicating sufficient genetic variability
• Genetic diversity
• Similarity coefficient
• Soybean genotypes
• Genetic diversity analysis
• Molecular marker based genetic diversity
• Principal component analysis
• Principal component analysis approach
• Brinjal (Solanum melongena L
• Genetic divergence
• Cluster analysis
• Potato (Solanum tuberosum L )
• Genetic divergence analysis in potato
• Genetic divergence analysis
• Genetic advance etc
• Greater yam
• Genetic variability in 30 genotypes
• Safflower genotypes
• Rapd molecular markers
• Safflower (Carthamus tinctorius L
• Investigation on genetic analysis
• Correlation and path analysis
• Path analysis
• Indigenous wheat
• Path analysis for grain yield
• Grain yield
• Performance analysis of a sugar plant using genetic algorithm
• Optimization of crystallization system of a sugar plant using genetic algorithm
• A sugar plant using genetic algorithm
• Refining system fails
• The crystallization system includes crystallization units
• Genetic improvement
• Sequence related amplified polymorphism
• Simple sequence repeat
• Genetic diversity of watermelon
• Bactrocera dorsalis
• Fruit growing areas
• Genetic analysis of Bactrocera dorsalis
• Character association analysis
• Genetic resources
• Mulberry genetic resources
• Agro morphological markers
• Trait association analysis
• Brassica compestris
• Genetic diversity analysis based
• Molecular level
• Diversity analysis
• Genetic diversity analysis in sunflower
• Parental lines
• RAPD markers
• Genetic variability and D2 analysis
• D2 analysis for yield
• Quality traits in tomato
• Tomato (Solanum lycopersicum L )
• Genetic variation
• Genetic variation in the natural populations
• Analysis of genetic variation
• Clarias batrachus
• Microsatellite markers
• Black gram
• Heritability and Genetic advance as per cent of Mean
• Genetic advance as per cent of Mean
• Black gram [Vigna mungo (L
• ) Hepper]
• Foxtail millet
• Yield and nutritional traits
• Genetic advance and fenugreek
• Fenugreek (Trigonella foenum graecum L )
• Different characters in fenugreek genotypes
• Inter sub specific cross
• Pre breeding lines
• Pre breeding lines of greengram
• Genetic analysis in pre breeding lines
• Genetic advance and okra
• Genetic analysis in okra
• Contributing traits
• Component characters
• Onion genotypes through RAPD
• ISSR markers
• Genetic diversity remarkably
• Genetic architecture
• Diallel analysis
• Chickpea for yield
• Related traits
• Genetic architecture through diallel
• Sufficient genetic variation
• Path analysis for yield in linseed
• Yield in linseed
• Genetic parameters of variability
• Indian mustard
• Indian mustard (Brassica juncea L )
• D 2 analysis and cluster analysis
• Gossypium hirsutum L
• Cotton germplasm
• Agro morphological characterization