Estimation of genetic parameters and gene action among crosses of blackgram (Vigna mungo (L.) Hepper) for seed yield and its component traits

The Cuphea procumbens Orteg. is an important annual plant source of medium chain fatty acids. The present study was conducted to estimate different gene systems involved in the inheritance of important quantitative traits viz. plant height, branches/plant, fruits/plant, seeds/fruit and seed yield/plant in F1 and F2 generations following 6 parents half diallel. Diallel assumptions were fulfilled for all the characters. Wr - Vr graph and component analysis revealed the major influence of over dominance for all the traits except branches/plant in F1. The arrays scattered all along the regression line below limiting parabola in two groups, Dominance and recessive and was confirmed by standardized deviation graph. The ranking on the basis of breeding value (Yr) of the parents and per se performance was closely associated (r=0.83**). On the basis of ranking, parents 'NBC-01', 'NBC-25' and 'NBC-30' were found most promising and possessed more dominant alleles for most of the characters. Considering the gene action involved, the breeding plan was discussed.

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Estimation of Genetic Parameters, Selection Indices and Association Analysis of Seed Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Legume Research - An International Journal ◽

10.18805/lr-4506 ◽

2021 ◽

Author(s):

Amit Kumar ◽

Hitesh Kumar ◽

Vijay Sharma ◽

Kamaluddin .

Keyword(s):

Association Analysis ◽

Seed Yield ◽

Genetic Parameters ◽

Genetic Advance ◽

Selection Indices ◽

Component Traits ◽

Seed Index ◽

Positive Direct ◽

Pod Number ◽

Number Of Seeds

Background: Chickpea is a second most important pulse crop grown in 56 countries and India rank first in production which shares 61.4% of the total world chickpea production however, productivity is very low as compared to other countries. Therefore, varietal development with inherent tolerance to biotic and abiotic stress is the prime objective to improve component productivity traits to get better yield in rainfed agro-climatic conditions.Methods: Ninety germplasm accessions of chickpea along with four check viz., JG 14, JG 16, JAKI 9218 and Radhey were evaluated in augmented block design at experimental research farm of Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India. Phenotypic data were subjected to study the genetic parameters and association analysis of yield and its component traits using SPAR 2.0 Package and Windostat Version 9.2.Result: The significant variation was observed for all the traits except number of secondary branches, number of pod per plant, number of seeds per pod among the genotypes. The maximum GCV and PCV was observed for height of first pod (35.28 and 39.29), followed by seed yield per plant (29.77 and 40.32) and number of primary branches (25.63 and 31.44). The high magnitude of heritability with genetic advance was estimated for seed index (96.61%), while the high genetic advance as per cent of mean was recorded for first pod height (65.27%). The positive and significant association of seed yield with number of pods per plant, seed index, number of seeds per pod, number of secondary branches, number of primary branches and height of first pod indicating the importance of these traits in selection criteria. Path analysis identified that number of seeds per pod, number of pods per plants, seed index and number of secondary branches per plant as highly desirable component for direct effect on seed yield per plant. The genotypes ICVT-181106 had highest selection indices for seed yield followed by ICVT-181107, PUSA-1053, JG-218, GNG-1999, ICVT-181102 and HC-5. Therefore, high GCV and PCV, significant positive direct and indirect correlation and high estimate of selection indices for grain yield can be directly and indirectly used for chickpea breeding program.

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