Assessment of Genetic Diversity of Rice Genotypes for Submergence Tolerance in Rainfed Lowlands

Lahari, G.; Dushyanthakumar, B.M.; Jagadeesh, G.B.; Nishanth, Gopala; Raghavendra, Pongali B.

doi:10.20546/ijcmas.2017.611.253

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…To maintain relatively broad genetic base, selection of parents from genetically homogeneous clusters should be strictly avoided. Parallel findings were reported by Nirosha et al, (2016); Mamta Kumari et al, (2016) and Lahari et al, (2017).…”

Section: Resultssupporting

confidence: 86%

Genetic diversity analysis for yield and yield components in rice

Amudha¹,

Ariharasutharsan²

2021

J Rice Res

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The present investigation was carried out to explore the extent of divergence in 55 rice germplasm accessions for twelve characters during Kharif, 2019. In D2 analysis, the 55 genotypes were grouped into fourteen clusters. The clustering pattern indicated that there was no parallelism between genetic diversity and geographical origin as the genotypes of the same origin were included in different clusters and vice versa. The maximum inter cluster distance was found between cluster IX and cluster XIII (1313.049) followed by cluster X and cluster XIII (1152.033), cluster XII and cluster XIII (1039.108), cluster III and cluster XIII (1015.310) and cluster I and cluster XIII (978.369). Genetically distant parents from these clusters could be able to produce higher heterosis in progenies on hybridization. Single plant yield (43.29%) followed by grain length (12.99%), 100 grain weight (12.12%) grain width (11.85%) and days to 50% flowering (11.85%) were the major contributors towards the total genetic divergence among the genotypes studied. Selection could be made based on grain yield per plant, hundred grain weight and days to 50% flowering for the progenies identified.

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Section: Resultssupporting

confidence: 86%

Genetic diversity analysis for yield and yield components in rice

Amudha¹,

Ariharasutharsan²

2021

J Rice Res

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“…The Low PCV and GCV values observed for days to maturity, panicle length, and test weight in the present study are consistent with those obtained by Lahari et al [12] for days to maturity, panicle length, and test weight. However, Karim et al [13], Thomas et al [14] and Dhurai et al [15] only had low PCV and GCV values for days to maturity, whereas Singh et al [16], and Prajapati et al [17] found low PCV and GCV values for panicle length.…”

Section: Genetic Variability Parameters and Mean Performancesupporting

confidence: 93%

Genetic Studies and Response of Rice Germplasm (Oryza sativa L.) to Brown Spot Incidence in Aerobic Condition

Shahani

Kumar

Nilanjaya

et al. 2022

IJECC

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The present investigation was carried out with 150 rice genotypes and three check varieties namely Rajshree, Pankaj and Rajendra Neelam with the view of assessing the variability in traits related to productivity and studying the response of these varieties towards brown spot resistance under the aerobic condition. These genotypes were evaluated for brown spot incidence and yield potential by recording observation for 11 quantitative traits by using augmented randomized complete block design at Rice research farm of RPCAU, Pusa, Bihar, during Kharif season of 2019. Analysis of variance revealed significant differences amongst the genotypes for all the eleven traits studied. Based on the mean performance, 14 genotypes out of 150 genotypes were significantly superior to the best check, Rajendra Neelam, for three traits viz., grain yield/ plant, Percent Disease Intensity (PDI) and area under disease progress curve (AUDPC), which are considered key traits for the assessment of brown spot incidence. The genotypes viz., VLD 16 entry no. -5, Udyagiri entry no.-9, and SKL 6 entry no.-94 significantly exhibited high mean for majority of the traits under study. Based on the AUDPC values, genotypes Satabdi, PS-4, Haryana Basmati and SKL6 were resistant for brown spot incidence. For most of the traits studied, moderate to low value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was recorded. Higher magnitude of broad sense heritability and genetic advance as per cent of mean (GAM) were perceived for days to 50% flowering, plant height, no. of tillers per plant, no. of panicles per plant, filled grains per panicle, grain yield per plant, PDI, AUDPC signifying that direct selection by these traits can be rewarding for achieving yield improvisation and resistance to brown spot disease

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Assessment of Genetic Diversity of Rice Genotypes for Submergence Tolerance in Rainfed Lowlands

Cited by 2 publications

References 2 publications

Genetic diversity analysis for yield and yield components in rice

Genetic diversity analysis for yield and yield components in rice

Genetic Studies and Response of Rice Germplasm (Oryza sativa L.) to Brown Spot Incidence in Aerobic Condition

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