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Browsing by Author "Sonali Habde"

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    Estimation of heterosis for yield related traits and grain Zinc in rice (Oryza sativa L.)
    (Indian Society of Plant Breeders, 2022) S. Rudresha Naik; S.K. Singh; D.K. Singh; A.R. Khaire; Mounika Korada; Sonali Habde; Prasanta Kumar Majhi
    The experiment consists of thirty hybrids generated in a Line x Tester mating design by crossing six lines with five male parents and studied along with two checks (BPT5204 and DRR dhan-45) for 16 characters contributing to yieldand grain Zn content in rice. Analysis of variance exhibited significant differences among the genotypes for all thetraits under investigation indicating the presence of sufficient variability in material and can be exploited. Among all thecrosses, the hybrid, HUR-3022 x Dudhkander exhibited the highest significant positive heterobeltiosis for the numberof effective tillers (91.94%), the number of grains per panicle (16.44%), 1000 grain weight (26.28%), grain yield perplant (214.03%) and biomass (225.12 %). HUR-3022 x Sathi exhibited the highest positive better parent heterosisfor grain Zn content (38.37%). Standard heterosis over checks BPT-5204 and DRR dhan-45 of 214.03 and 40.07per cent respectively, were exhibited by the cross, HUR-3022 x Dudhkander for yield plant per plant HUR-3022 xSathi exhibited the highest positive economic heterosis of 69.42 and 60.26 per cent over BPT-5204 and DRR dhan-45 for grain Zn, respectively. Hence, these two hybrids viz., HUR-3022 x Dudhkander and HUR-3022 x Sathi can beexploited in breeding hybrids for high yield and high grain Zinc with further evaluation in multiple locations © 2022. Electronic Journal of Plant Breeding. All Rights Reserved.
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    Genetic characterization of local rice (Oryza sativa l.) genotypes at morphological and molecular level using ssr markers
    (Editorial board of Journal of Experimental Biology and Agricultural Sciences, 2020) Pooja Pathak; S.K. Singh; Mounika Korada; Sonali Habde; D.K. Singh; Amrutlal Khaire; Prasanta Kumar Majhi
    Current study was conducted to estimate the genetic diversity of 29 local rice cultivars including 3 checks at both morphological and molecular level during Kharif 2017 in an augmented design. Significant results obtained from ANOVA of 29 genotypes for 16 quantitative traits; Mahalanobis’ D2 grouped the total genotypes into 6 clusters. Highest inter-cluster distance was found between clusters III and VI indicating the genotypes in these clusters are most diverse. The SSR banding pattern revealed a total of 65 alleles from 21 polymorphic markers across 29 rice genotypes with an average of 3.09 alleles. The polymorphism information content (PIC) values ranged from 0.701 (RM 277) to 0.346 (RM237) with a mean value of 0.571 showing the marker RM277 as best based on the above study. The dendrogram analysis revealed all the 29 genotypes were grouped into two main clusters i.e. cluster I and cluster II with dissimilarity coefficient 0.36. Both the clusters were further divided into two groups each of which are further divide into two sub-groups each. Based on the genetic distances and the dissimilarity coefficient obtained from both morphological and molecular analysis, genotypes like Bahubali, Golden 105, Pusa 1121, HUR-1301, RK-2 Lal kasturi and Pan 815 can be selected and used as parents due to their greater diversity. Knowledge of genetic diversity available within a population at both morphological and molecular level helps the breeder to formulate a successful hybridization programme and gain good results. © 2020, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.
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    Stability Analysis in Rice (Oryza sativa L.) Genotypes with High Grain Zinc
    (Agricultural Research Communication Centre, 2020) Vishal Pandey; S.K. Singh; Mounika Korada; D.K. Singh; A.R. Khaire; Sonali Habde; Prasanta Kumar Majhi
    Background: Balanced nutrition is an essential part of human diet and rice being consumed by more than half of the world population, having rice cultivars biofortified for high zinc levels in polished rice would be very important to combat issues of malnutrition. Zinc being a highly variable trait and influenced by environmental and soil conditions, a multi-location stability analysis was conducted Ito identify cultivars stable for high grain zinc with consistency in yield performance. Methods: Present experiment was conducted to study the stability of 22 high zinc rice genotypes in five different locations of Eastern Uttar Pradesh in RCBD with three replications in all the locations and 12 different traits were included in the study. Eberhart and Russell model was used for evaluating the stability of the genotypes. Result: The results reported high significance for all the twelve characters studied. Mean sum of squares due to environment as well as linear component of environment were significant for all the characters suggesting presence of variation among the five environments tested. All the twenty-two genotypes showed significant differences for all the characters when tested against pooled error and pooled deviation. The genotype, IR15M1633 recorded highest mean grain zinc content but have negative association with yield. Therefore, considering for a high grain zinc genotype with consistent yield performance, the genotypes, DRR Dhan 48 and HURZ-3 showed good mean values for all the traits and was also stable for grain zinc, yield per hectare, 1000 grain weight, had shorter plant height and can be suggested for use as high yielding cultivars with high grain zinc and could be further used in breeding programmes successfully. © 2020, Indian Journal of Agricultural Research. All Rights Reserved
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    Studies on character association and path analysis studies for yield, grain quality and nutritional traits in F2 population of rice (Oryza sativa L.)
    (Indian Society of Plant Breeders, 2020) S.K. Singh; Sonali Habde; D.K. Singh; Amrutlal Khaire; Korada Mounika; Prasanta Kumar Majhi
    Rice is a major cereal crop from the consumption point of view, dietary energy and nutrition source for more than half of the world's population. Rice is rich in starch but deficient in major micronutrients. Present experiment consists of F2 mapping population for high grain zinc content, with 312 entries studied for 15 different traits. Correlation study indicated that, grain zinc and iron content were significant and positive. So there is a scope for simultaneous improvement of both traits. Grain yield per plant showed a non-significant and negative association with zinc and iron content. Plant height, total tillers per plant, the number of effective tillers per plant, panicle length, 1000 grain weight, fertile grains per panicle, kernel breadth, L/B ratio has significant and positive correlation and positive direct effects with grain yield per plant. © 2020, Indian Society of Plant Breeders.
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    Study of allelic variation at genome wide ssr loci in parents of mapping population for high grain zinc in rice (Oryza sativa l.)
    (Editorial board of Journal of Experimental Biology and Agricultural Sciences, 2020) Sonali Habde; S.K. Singh; Korada Mounika; Amrutlal Khaire; D.K. Singh; Prasanta Kumar Majhi
    Rice (Oryza sativa L.) is the source of energy and nutrition for more than half of the world’s population hence it is a crop of global significance. Breeding of mineral dense rice varieties is the main target of biofortification strategy to address micronutrient malnutrition globally. Landraces and local genotypes are proven sources of novel alleles and are a promising donor for high grain mineral. A parental polymorphism survey is a prerequisite of any QTL mapping experiment. Present study consisting of SSR markers based parental polymorphism survey at IRRI South Asia Hub ICRISAT, Hyderabad. Parents of mapping population viz Rajendrakasturi (short grain aromatic rice variety with low grain content) and URG-30 (a local genotype from Eastern Uttar Pradesh with high grain zinc content) were screened with 1013 microsatellite markers covering the entire length of all 12 chromosomes to study allelic variation at genome-wide SSR loci. The geographical diverse origin of parents is reflected in genotypic variations in terms of polymorphism. Out of 1013 whole genome wide SSR markers screened, 294 were found to be polymorphic which resulted in 29.02% polymorphism between the two parents. The highest polymorphism was observed with chromosome 4 (40.96%) whereas the lowest polymorphism was observed in chromosome 9 (16%). Based on the outcomes of the present study, a set of genome-wide polymorphic SSRs will be selected for genotyping of mapping population, preparation of linkage map and QTL analysis for high grain zinc content, iron content, grain quality and yield traits. © 2020, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.
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    Study of genetic divergence in rice (Oryza sativa L.) genotypes with high grain zinc using Mahalanobis' D2 analysis
    (Indian Society of Plant Breeders, 2020) S.K. Singh; Vishal Pandey; Korada Mounika; D.K. Singh; A.R. Khaire; Sonali Habde; Prasanta Kumar Majhi
    The present investigation was conducted with twenty-two genotypes of rice during Kharif, 2018 in RBD with three replications in five different locations. The 22 rice genotypes were characterized based on 16 quantitative traits viz., days to first flowering, days to 50 per cent flowering, days to maturity, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, the number of grains per panicle, spikelet fertility percentage, grain weight per panicle (g), grain yield per plant (g), 1000-grain weight (g), grain yield per plot (kg), grain yield per hectare (kg), grain L/B Ratio, grain zinc content (ppm or mg /kg) using Mahalanobis D2 statistic. D2 analysis distributed the 22 genotypes into six clusters, of which cluster I was the largest with 15 genotypes. Cluster II had maximum intra-cluster values of 5.16 and the maximum inter-cluster distance was observed between the clusters III and V (40.51) followed by cluster IV and V (28.39) indicating the importance of the genotypes present in these clusters for exploiting heterosis for the desirable traits of these clusters. © 2020, Indian Society of Plant Breeders.
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