Legume Research - An International Journal
Web of Science
  • Year: 2023
  • Volume: 46
  • Issue: 2

Exploiting genomic resources for efficient utilization of chickpea (Cicer arietinum L.) crop improvement based on agro-morphological, yield and nutritional traits

  • Author:
  • Ritu R. Saxena1,*, Kanushree Nandedkar1, Suman Rawte1, S.S. Porte2, Mary S. Xalxo3, Mangla Parikh1, Ravi R. Saxena4
  • Total Page Count: 7
  • Page Number: 134 to 140

1Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India

2Department of Soil Science and Agricultural Chemistry, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India

3Fertilizer Quality Control LaboratoryRaipur-492 012, Chhattisgarh, India

4Department of Agricultural Statistics and Social Science, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India

*Corresponding Author: Ritu R. Saxena, Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India, Email: rituravisaxena@gmail.com

Online Published on 21 March, 2023.

Abstract

In an effort to develop micronutrient-rich chickpea lines, a study to examine the variability in yield and nutritional traits was conducted.

99 genotypes were studied, the data was recorded and analyzed on yield traits, protein, iron and zinc content in Rabi 2019–20.

Maximum variability was recorded in plant yield followed by iron concentration (mg/kg), hundred seed weight and number of pods per plant. Of the total entries, nine entries namely, RGH4, RGH56, RG2016–84, ICC251762, RGH53, IPC98–12, RG2016–03, ICC1053 and RGH58 recorded high protein content (>20%). All these entries possessing high protein had pink flower. One chickpea accession (RGH53) accumulated the highest concentration for both protein and zinc, with an average of 21.86% and 73.00 ppm, respectively, but it showed low iron concentration (20.77 ppm). The first six principal components provided a reasonable summary of the data and explained 80.19% of the total variation. Ninety nine genotypes were grouped into ten clusters. Maximum inter cluster distance was observed between clusters VI and IX; VI and VII and IV and VI. The genotypes of these clusters are suggested for utilization in the crossing programs to breed varieties of chickpea for high yield with amenability to nutrients.

Keywords

Amenability, Characterization, Clusters, Nutrition