Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2023
  • Volume: 14
  • Issue: 3

Utilizing selection indices to enhance genetic gain in turmeric (Curcuma longa L.)

  • Author:
  • Sampath Lavudya1, Mukesh P. Patel1,*, Sushil Kumar2, Amarjeet Singh3, Santhosh Venna4, Anvesh Ellandula6, B. Sriram Kumar5, M. Himakara Datta6, Tushar Arun Mohanty6, Digvijay Singh7
  • Total Page Count: 7
  • Page Number: 1215 to 1221

1Department of Genetics and Plant Breeding, BACA, Anand Agricultural University, Anand388 110, India

2Department of Agricultural Biotechnology, Anand Agricultural University, Anand388 110, India

3Department of Medicinal and Aromatic PlantsResearch Station, Anand Agricultural University, 388 110, Anand

4Department of Genetics and Plant Breeding, BHU, Varanasi, Uttar Pradesh

5Department of Genetics and Plant Breeding, Agricultural College, Bapatla, ANGRAU

6Department of Genetics and Plant Breeding, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, 641003, Tamil Nadu, India

7Department of Genetics and Plant Breeding, Narayan Institute of Agricultural Sciences, Gopal Narayan Singh University, Sasaram, Bihar-821305, India

*E-Mail: mppatel@aau.in

Online Published on 20 October, 2023.

Abstract

Turmeric, known as “The golden spice” in India, is prized for its curcumin pigment, offering various uses as a food preservative, spice, and coloring agent. Its medicinal potential is gaining global recognition. A total of 24 turmeric genotypes were evaluated at Medicinal and Aromatic Plants Research Station, Anand Agricultural University, Anand, Gujarat. Significant genetic diversity among the genotypes was revealed through multivariate analysis of variance (MANOVA). Discriminant function analysis and selection indices were employed to improve grain yield and other important traits in turmeric. The results showed that selecting multiple traits simultaneously through a selection index yields higher genetic gain compared to selecting single traits. The comparison of selection efficiency for different trait combinations demonstrated an increase in selection efficiency with an increasing number of traits. The highest selection efficiency was observed when all six attributes were considered. The study identified the most effective four trait combination, comprising curing percentage, leaf oil percentage, rhizome oil percentage and fresh rhizome yield per plant, for enhancing grain yield in turmeric. The best-performing genotype, ATG-17, showed promise for future breeding activities.

Keywords

Curcuma longa L., Discriminant factor analysis, Multivariate analysis of variance, Selection indices