Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2024
  • Volume: 84
  • Issue: 2

Unraveling the effects of genotype, environment and their interaction on quality attributes of diverse wheat (Triticum aestivum L.) genotypes

  • Author:
  • Rajappa Harisha5, Arvind K. Ahlawat6, Adithya P. Balakrishna, Beera Bhavya, Sumit K. Singh, Shaily Singhal, Sneh Narwal1, J. P. Jaiswal2, J. B. Singh3, Rajeev R. Kumar4, Sanjay K. Singh, Anju M. Singh7,*
  • Total Page Count: 12
  • Page Number: 156 to 167

1Division of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India

2Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, 233 145, Uttrakhand, India

3Indian Agricultural Research Institute, Regional Station, Indore, 452 001, Madhya Pradesh, India

4ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110 012, India

5Present address: Host Plant Division, CSB-Central Muga Eri Research and Training Institute, Lahdoigarh, Jorhat, 785 700, Assam, India

6Krishi Vigyan Kendra, ICAR-Central Institute of Post-Harvest Engineering and Technology, Regional Station Abohar, Fazilka, Punjab, 152 116, India

7Division of Germplasm Conservation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India

Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India

*Corresponding author: Anju Mahendru Singh, Division of Germplasm Conservation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India, E-Mail: anju.singh@icar.gov.in

Online published on 2 July, 2025.

Abstract

Understanding the impact of genotype, environment and their interaction on the expression of quality attributes aids in precise selection for improving wheat quality in breeding programmes. The present study analyzed 41 diverse wheat genotypes grown at three different environments during rabi 2019-20 for 15 quality traits. Location Indore showed high genotypic performance for most of the traits, followed by Delhi, indicating favorable environments for quality trait expression. AMMI and pooled ANOVA analyses revealed significant E+GEI effects for Fe (89.14%), Zn (87.68%), test weight (76.97%), and grain protein content (75.43%). Polyphenol oxidase activity (87.42%) and sedimentation value (66.35%) showed strong genotypic effects, highlighting substantial genetic diversity influencing these traits. GGE biplot analysis identified C306 (G34), C273 (G38), C518 (G39), and C591 (G40) as the best-performing and stable genotypes across locations for grain protein content, gluten components traits, Fe, Zn, and grain hardness. AEC view of GGE biplot highlighted ideal genotypes C273 (G38) and C518 (G39) for falling number, GW322 (G35) and C518 (G39) for damaged starch, and C306 (G34), CS46 (G10), and C591 (G40) for total sugars. C273 (G38), C518 (G39), C591 (G40), and C306 (G34) were identified as highly desirable for multiple quality traits, showcasing their value as parents for simultaneous improvement in wheat breeding programme.

Keywords

G × E interaction, AMMI analysis, Grain quality parameters, RWF and WWF quality parameters, GGE biplot