Legume Research
Web of Science
  • Year: 2024
  • Volume: 47
  • Issue: 4

A pragmatic study on seed shape classification and its association among seed quality attributes in chickpea (Cicer arietinum L.)

  • Author:
  • Karthick Babu Sivakumar1, Ashish Gautam1, Satvinder Singh1, Ravindra Kumar Panwar1, Anju Arora1, Sanjay Kumar Verma1,*
  • Total Page Count: 6
  • Page Number: 597 to 602

1Department of Genetics and Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, Uttarakhand, India

*Corresponding Author: Sanjay Kumar Verma, Department of Genetics and Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, Uttarakhand, India, Email: sk_pantvarsity@yahoo.co.in

Online published on 3 October, 2024.

Abstract

Seed shape in chickpea, a less known but not a trivial trait to study, as the possibility to include it in applied breeding aspect is yet to be deciphered. The present study mainly focuses on the study of seed shape classification and its interrelationship with seed quality parameters.

The present study was conducted at the N.E. Borlaug Crop Research Centre, G.B. Pant University of Agriculture and Technology in Pantnagar, Uttarakhand. Seed shapes in chickpea were classified into distinct classes like angular, globular and owl headed types, using set of genotypes that constituted all the three seed shapes and corresponding hybrids obtained by crossing them.

The codominance of radicle length and dominance nature of shape of chalazal end was observed in a definite pattern. Angular types were dominant over owl-head and globular types, whereas the globular type was dominant over owl-head type. Angular and globular types had low and high protein content respectively. Globular types would be a key to merge the bi-directionally acting seed traits like protein content and seed weight. From our observations seed shape can be a potential criteria to select for seed protein content. We made clear cut shape classification based on seed components, which could helps in seed shaped based selection in large populations.

Keywords

Chickpea, Protein content, Seed shape, Seed size, Seed weight