Genetic Variability Studies for Yield and Yield Attributing Traits in  Brinjal (Solanum melongena L.)

Shruti, P.G.; Hanchinamani, C. N.; Basavaraja, N.; Kulkarni, M.S.; Cholin, Sarvamangala S; Tatagar, MH

doi:10.20546/ijcmas.2019.807.272

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…The highest heritability 95.83% was estimated for plant height, followed by days to flowering (88.37%), grain yield per hectare (87.98%), pods/plant (86.43%), secondary branches /plant (85.33%), hundred seeds weight (81.58%), primary branches/plant (78.13%), days to maturity (77.80%), and seeds/pod (74.44%), indicating that traits have high selection response. Similarly, [8,9,10,11,12,13] agreed with the present result that high estimates of heritability were estimated for the number of days to flowering, days to maturity, hundred seeds weight, grain yield, plant height, and pods/plant.…”

Section: Key: Gv=genotypic Variance Pv=phenotypic Variance Gcv=genoty...supporting

confidence: 89%

Genetic Variability and Heritability of Medium Maturity Group’s Soybean (Glycine max (L.)) Genotypes at Oromia, Ethiopia

Berhanu,

Lule,

Tesso

2023

IJPSS

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Field experiment was conducted to assess the extent of genetic variability and heritability in soybean genotypes for yield and its related traits. A total of thirty six soybean genotypes were evaluated using simple lattice design at Fedis eastern Ethiopia. Data were recorded for major quantitative traits and analyzed using appropriate statistical R-software. Analysis of variance revealed that the genotypes were highly significant for all the traits studied, indicating the existence of considerable magnitude of variability. High broad sense heritability estimate coupled with relatively high genetic advance as percentage of mean were computed for pods/plant, plant height, grain yield and primary branches/plant. Moderate to high genetic advance as percent of mean was estimated from the present result days to maturity, primary branches/plant, plant height, pods/plant, seeds/pod, hundred seeds weight and grain yield were recording high genetic advance as percent of mean, while days to flowering and secondary branches/plant estimated moderate genetic advance as percent of mean. High values of phenotypic coefficient of variation (PCV), genotypic coefficient of variation (GCV), broad sense heritability (H2), and genetic advance as percent of mean (GAM) were estimated for plant height, primary branches per plant, pod per plant, seeds per pod, and grain yield indicating the ease of direct selection for the improvement of these traits. Hence, selection for these traits is likely to be effective as high heritability values were associated with high genetic advance as percent of means in the improvement of the performance of the soybean genotypes. As a result breeder can improve the tested soybean genotypes through plant height, number of pods/plant, number of primary branches/plant and grain yield.

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Section: Key: Gv=genotypic Variance Pv=phenotypic Variance Gcv=genoty...supporting

confidence: 89%

Genetic Variability and Heritability of Medium Maturity Group’s Soybean (Glycine max (L.)) Genotypes at Oromia, Ethiopia

Berhanu,

Lule,

Tesso

2023

IJPSS

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“…It is a miracle crop of the 20th century, containing 40% high-quality protein and 20% oil. It is also rich in lysine (6.4%) and Vitamin A, B, and C (Shruti and Basavaraja, 2019). In Ethiopia, soybean has increased trends in production and productivity over the last decade.…”

Section: Introductionmentioning

confidence: 99%

Correlation and path analysis in black and brown seeded soybean [Glycine max (L.) Merr.] genotypes at Melko and Modio, South-Western Ethiopia

Belay,

Tesfaye,

Alamerew

2023

Int. J. Agril. Res. Innov. & Tech.

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Sixty-four soybean genotypes were evaluated to study the association among yield and related traits and determine the directions of association. The field experiment was conducted during the main cropping season in 2019 at Jimma and Bonga Southwestern Ethiopia. The experiment was laid with a simple lattice design with two replications. Data were collected on quantitative traits. Analysis of variance showed significant to highly significant differences among genotypes for all of the studied traits. Correlation analysis exhibited that grain yield was positively and significantly associated with harvest index and the number of pods per plant. Harvest index exerted the maximum positive direct effect on grain yield, followed by pod per plant, seed yield per plant at a genotypic level, and these traits could be used for selection to improve grain yield in soybean. Int. J. Agril. Res. Innov. Tech. 13(1): 67-71, June 2023

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NAM population – a novel genetic resource for soybean improvement: development and characterization for yield and attributing traits

Shivakumar

Kumawat

Nataraj

et al. 2019

Plant Genet. Resour.

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Nested association mapping (NAM) captures the best features of both linkage and association mapping and enables the high power and high resolution of quantitative trait locus mapping through joint linkage-association analysis. In the current study, NAM population was developed by hybridizing JS 335, a popular variety of central India with 20 diverse soybean genotypes. The parents used in the study have various traits of economic importance such as drought and water-logging tolerance, bacterial pustule and yellow mosaic virus resistance, wider adaptability, resistance to mechanical damage and higher yield potential. High variability in the F2 populations of 20 crosses for grain yield and days to maturity indicated scope for development of high-yielding varieties. Genetic variability studies, correlation, regression, principal component analysis (PCA) and genetic diversity analyses were carried out in 900 NAM-recombinant inbred lines (RILs) derived from 11 crosses. Correlation and regression analysis indicated a significant positive effect of biomass, pods/plant, harvest index, branches/plant, nodes/plant and plant height on grain yield. Genetic diversity analysis grouped 900 NAM-RILs into 10 clusters. PCA revealed first two principal components to explain 63.78% of total variation mostly contributed by grain yield, biomass and number of pods. The inbred lines developed in this study will serve as an elite soybean genetic resource in understanding the genetic architecture underlying different traits of economic significance.

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Genetic Variability Studies for Yield and Yield Attributing Traits in Brinjal (Solanum melongena L.)

Cited by 4 publications

References 2 publications

Genetic Variability and Heritability of Medium Maturity Group’s Soybean (Glycine max (L.)) Genotypes at Oromia, Ethiopia

Genetic Variability and Heritability of Medium Maturity Group’s Soybean (Glycine max (L.)) Genotypes at Oromia, Ethiopia

Correlation and path analysis in black and brown seeded soybean [Glycine max (L.) Merr.] genotypes at Melko and Modio, South-Western Ethiopia

NAM population – a novel genetic resource for soybean improvement: development and characterization for yield and attributing traits

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