Association Analysis for Yield Traits in Rainfed Rice (Oryza sativa L.)

Muthuramu, S.; Ragavan, T

doi:10.20546/ijcmas.2020.904.178

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…The results indicated the existence of high genetic diversity among genotypes in clusters III and VII; therefore, genotypes in these clusters could be used for specific trait improvement in plant breeding programmes. Similar results were explained by Muthuramu et al, 2017;Sujata et al, 2021. Large numbers of agronomically important genes may be present in the native rice landraces and hence they are valued as potential source for varietal improvement programmes. Therefore, special attention should be taken on collection, conservation and utilization of the existing farmer varieties and landraces.…”

Section: Shanmugam Et Alsupporting

confidence: 90%

Unravelling genetic diversity of South Indian rice landraces based on yield and its components

2023

EJPB

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Traditional varieties are considered as key natural resources necessary to maintain future food security in the current climate change era. Conserving these traditional varieties are the need of the hour as they harbour many valuable genes which could be exploited for crop breeding. Genetic diversity for morphological traits in a population can be assessed using a variety of techniques, including univariate and multivariate analysis. A diverse panel of 60 traditional landraces of rice was evaluated for 14 the pattern of genetic diversity and relationship based on morphological traits by multivariate analysis like Mahalanobis' D 2 and principal component analyses and correlation analysis was utilized to examine the association among morphological traits. The 60 genotypes were grouped in to eight clusters based on cluster analysis. Principal component analysis revealed that the cumulative variance of 74.41 % of total variation among 14 characters was explained by the first five axes. Study of association among traits indicated that direct selection based on the traits such as number of grains per panicle, flag leaf length, kernel length, length to breadth ratio and hundred seed weight would be the traits of top priority for yield improvement in rice.

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Section: Shanmugam Et Alsupporting

confidence: 90%

Unravelling genetic diversity of South Indian rice landraces based on yield and its components

2023

EJPB

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“…All the minimum and maximum cluster mean values were distributed in relatively distant clusters. Similar kind of results were reported in rice by Muthuramu and Sakthivel (2018); Ranjith et al, (2018) andKavurikalpana et al, (2018). Thus according to the breeding objectives, trait specific lines can be picked out from different clusters and involved in hybridization programs for improvement of the character.…”

Section: Resultssupporting

confidence: 79%

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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“…Plant height is negative significantly correlated with harvest index at both genotypic and phenotypic level and positive significantly correlated with panicle length at only phenotypic level. Similar results have been reported by Muthuramu and Rangavan (2020) [9] for plant height with harvest index.…”

Section: Plant Height (Cm)supporting

confidence: 91%

Association analysis for yield and its contributing traits in rice (Oryza sativa L.)

Verma,

Kujur,

Singh

2024

Int. J. Adv. Biochem. Res.

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The entitled research work "Association analysis for yield and its contributing traits in rice (Oryza sativa L.)" was executed Research cum Instructional Farm, Department of Genetics and Plant Breeding, IGKV Raipur (C.G.) during kharif 2021. The research material under research comprised of 50 rice germplasm lines including two checks namely Mahamaya and Rajeshwari, which were tested in RBD with two replications The observation of research investigation were recorded for total 8 characters viz. Days to 50% flowering, Number of tillers per plant, Panicle length (cm), Plant height (cm), 1000 seed weight (g), Grain yield per plant (g), Biological yield per plant (g), Harvest index (%). Positive significant correlation was showed Grain yield per plant with Number of tillers per plant, 1000seed weight, biological yield per plant. These characters would be beneficial for increasing yield and choosing superior genotypes among rice cultivars. Positive direct effect on Grain yield per plant showed by the Harvest index, biological yield per plant, Panicle length, Days to 50% flowering, Number of tillers per plant, 1000seed weight revealed true relationship between them and direct selection for these traits would be beneficial for increasing yield.

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Association Analysis for Yield Traits in Rainfed Rice (Oryza sativa L.)

Cited by 4 publications

References 4 publications

Unravelling genetic diversity of South Indian rice landraces based on yield and its components

Unravelling genetic diversity of South Indian rice landraces based on yield and its components

Genetic diversity analysis for yield and yield components in rice

Association analysis for yield and its contributing traits in rice (Oryza sativa L.)

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