Genetic Divergence Analysis of Wheat (Triticum aestivum L.) Genotypes
Jay Singh
Department of Seed Science and Technology, Chandra Shekhar Azad University, Agriculture and Technology, Kanpur, Uttar Pradesh, 208002, India.
C.L. Maurya
Department of Seed Science and Technology, Chandra Shekhar Azad University, Agriculture and Technology, Kanpur, Uttar Pradesh, 208002, India.
Rishabh Gupta *
Department of Genetics and Plant Breeding, Acharya Narendra Deva University, Agriculture and Technology, Kumarganj Ayodhya, Uttar Pradesh, 208002, India.
Sunil Kumar
Uttar Pradesh State Seed Certification Agency, Lucknow, Uttar Pradesh, India.
Shivam Chaturvedi
Department of Seed Science and Technology, Chandra Shekhar Azad University, Agriculture and Technology, Kanpur, Uttar Pradesh, 208002, India.
Ajay Pratap Singh
Department of Seed Science and Technology, Chandra Shekhar Azad University, Agriculture and Technology, Kanpur, Uttar Pradesh, 208002, India.
Dhruvendra Singh Sachan
Department of Agronomy, Chandra Shekhar Azad University, Agriculture and Technology, Kanpur, Uttar Pradesh, 208002, India.
*Author to whom correspondence should be addressed.
Abstract
A laboratory experiment was carried out with 30 indigenous genotypes of bread wheat along with three checks in a complete randomized design for divergence analysis. The trial was conducted at Seed Technology laboratory of Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya during 2020-21. The observations were recorded on thirteen-character Test weight (1000-grain weight), seed width (mm), seed length (mm), shoot length, root length, seedling length, seedling dry weight, germination (%), first count, final count, vigour index-I, vigour index-II. The 30 genotypes grouped into 5 clusters resulted in cluster I and V emerging with highest number of entries as both were constituted by 9 entries followed by Cluster III having 6 genotypes and cluster II and VI having 4 genotypes respectively. The maximum intra cluster distance was estimated in the case of Cluster II (2.630) followed by cluster I (2.618), Cluster III (2.545), cluster IV (2.512), and cluster V (2.148). The highest inter-cluster distance was observed between clusters III and IV (6.062) Followed by clusters III and V (4.632), II and IV (4.489), cluster II and V ( 4.304). The minimum inter cluster was observed between II and III (3.317) followed by cluster IV and V ( 3.337) and cluster I and V (3.404). The cluster mean of 13 different characters for most of the character's highest cluster mean was observed in clusters IV and V and lowest cluster mean observed in cluster III and II.
Keywords: Character, divergence, seedling, vigour