Graphical and Numerical Analysis of the Components of Gene Effect on the Quality Traits of Bread Wheat ( Triticum aestivum L.) under Varying Environmental Conditions

Gita R. Chaudhari (), D. A. Patel, A. D. Kalola and Sushil Kumar
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Gita R. Chaudhari: Department of Genetic & Plant Breeding, BACA, Anand Agricultural University, Anand 388110, Gujarat, India
D. A. Patel: Department of Genetic & Plant Breeding, BACA, Anand Agricultural University, Anand 388110, Gujarat, India
A. D. Kalola: Department of Statistics, BACA, Anand Agricultural University, Anand 388110, Gujarat, India
Sushil Kumar: Department of Agricultural Biotechnology, Anand Agricultural University, Anand 388110, Gujarat, India

Agriculture, 2022, vol. 12, issue 12, 1-13

Abstract: Wheat is one of the main cereals. At this time, the crucial difficulty in improving nutritional traits is the influence on genotypes of different environments. Selecting superior genotypes on the basis of a gene effects analysis for varying environments is demanded. In this study, 10 different genotypes of bread wheat ( Triticum aestivum L.) were used. Parents, hybrids, and two standard checks were evaluated in a complete randomized block design with three replicates in four environments: E 1 and E 2 (normal and late sown, Rabi 2018-19) & E 3 and E 4 (normal and late sown, Rabi 2019-20). The analysis of the components of the gene effect revealed that most of the characters were governed by additive and dominant gene actions in the environments; for gluten, the wet gluten (E 2 ) and starch (E 3 ) content were the only dominant components (H 1 and H 2 ) with a significant gene effect. Overdominance, asymmetrical distribution of positive–negative and dominant–recessive genes, and narrow-sense heritability were observed in most of the characters in all environments. In a graphical analysis, the regression value b was observed to be in unity among protein content (E 1 and E 3 ), sedimentation value (E 1 , E 2 , and E 3 ), and starch content (E 1 ), indicating the absence of digenic interactions. Based on the intercept of the regression line on the Wr axis, the degree of dominance for protein content (E 1 and E 3 ), sedimentation value (E 1 , E 2 , and E 3 ), and starch content (E 1 ) was depicted as overdominance. Therefore, a given population may be improved to isolate superior recombinants for the development of desired parents in future breeding programs.

Keywords: gene effects; quality traits; graphical analysis; numerical approach; environments (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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