Genetic Divergence Studies for Anaerobic Germination Traits in Rice (Oryza sativa L.)

Sudeepthi, K.; Srinivas, T.; Kumar, B. N. V. S. R. Ravi; Dpb, Jyothula; Umar, Sk. Nafeez

doi:10.9734/cjast/2020/v39i130482

Cited by 9 publications

(8 citation statements)

References 9 publications

(11 reference statements)

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“…The Wilk's statistic '˄' was highly significant with value of 1340.221, justifying the calculation of D 2 values. The results are in conformity with the findings of earlier workers (17) who also reported 'V' statistic to be highly significant with value of 2736.30 in their studies on 107 rice genotypes for yield and yield component traits, justifying the need to calculate D 2 values. Similar results were also reported ear-…”

Section: Test With Wilk's Criterion '˄'supporting

confidence: 91%

Genetic divergence studies for yield and quality traits in high protein landraces of rice (Oryza sativa L.)

Bhargavi

Yadla²,

Jukanti³

et al. 2023

Plant Sci. Today

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The present study was undertaken to study the extent of genetic diversity in high protein rice landraces with respect to yield, yield components and quality characters. In this direction, 30 high protein rice landraces, collected from different parts of country by ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad along with the high protein check, CR DHAN 310 were evaluated during Kharif 2021 at ICAR-IIRR farm located at International Crops Research Institute of Semi Arid Tropics (ICRISAT), Hyderabad. The study examined the genetic divergence of high protein rice cultures for yield, quality and nutritional parameters. Multivariate analysis techniques of Mahalanobis D2 and Principal Component Analysis (PCA) were used to estimate the genetic diversity in the experimental material. In Mahalanobis D2, the 31 high protein rice cultures were divided into six clusters. Cluster I had highest number of rice cultures (19), followed by Cluster III and V with five, four cultures, respectively. The clusters, II, IV, VI were mono-genotypic. It was discovered that grouping of these cultures into several clusters was random and was not related to geographical diversity. Inter-cluster distances between clusters V and VI were maximum. Cluster V had also exhibited higher intra-cluster distance. Further, Cluster VI had showed maximum yield plant-1, grains per panicle-1, zinc content and test weight, while, Cluster V had recorded high protein content. The greatest contribution to genetic divergence was recorded by yield plant-1 (21.60%), followed by iron (10.54%) and zinc content (9.54%). In Principal Component Analysis, the first five Principal Components (PCs) with eigen values >1 accounted for cumulative contribution of 67.69% to the total variability. The three traits, yield plant-1, iron content, and amylose content contributed the most to variability. The 2D scatter diagram exhibited 18 different clusters, out of which 11 clusters were mono-genotypic. Mahalanobis D2 Statistic and PCA concluded maximum genetic diversity between the landraces, JAK 248-3 and JAK 638 with JAK 611.

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Section: Test With Wilk's Criterion '˄'supporting

confidence: 91%

Genetic divergence studies for yield and quality traits in high protein landraces of rice (Oryza sativa L.)

Bhargavi

Yadla²,

Jukanti³

et al. 2023

Plant Sci. Today

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show abstract

“…Cluster III and cluster VII showed maximum inter-cluster distance (13522.04) followed by cluster III and cluster V (12751.46) which suggested that the genotypes in these clusters had a significant degree of genetic diversity and that crossings between the genotypes in these clusters would produce desirable transgressive segregants. Similar findings were reported by Sudeepthi et al, 2020;Amegan et al, 2020;Sujata et al, 2021. Whereas the lowest inter-cluster distance was noticed between cluster IV and cluster VII (1785.47) followed by cluster I and cluster IV (2107.62), suggesting closeness among the genotypes in these clusters for most of the traits.…”

Section: Shanmugam Et Alsupporting

confidence: 91%

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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“…Based on clustering pattern Cluster I and II comprised of four and five genotypes respectively, while Cluster III was monogenotypic in nature. Similar studies based on D 2 -statistic was also performed by Sudeepthi et al [15], Singh et al [16], Kumari et al [17], Nirosha et al [18], Sreedhar [19], Singh et al [20] and Devi et al [21]. The clustering pattern showed that genotypes of different geographical areas were clubbed in one group and also the genotypes of same geographical area were grouped into same cluster as well as in different cluster indicating that there was no formal relationship between geographical distribution and genetic diversity.…”

Section: Discussionsupporting

confidence: 79%

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

Kumar

Singh

et al. 2021

IJECC

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The present investigation was carried out including 10 parents and their 45 half diallel crosses with the objective to study the relationship between heterosis and diverse genotype. The Mahalonobis D2values resulted in grouping of 10 parents into 3 clusters. Cluster I was comprised of four genotypes, cluster II comprised of five genotypes while, cluster III was found monogenotypic. Cluster II and Cluster III had maximum mean values for 4 traits. Highest intercluster distance was also observed in these 2 cluster followed by cluster I and III . Maximum intra cluster distance was observed in cluster II followed by cluster I. The highest contribution in the manifestation of total genetic divergence was exhibited by grain iron content followed by grain zinc content. The relationship between parental diversity and heterosis indicated that majority of crosses belong to moderate divergence class. The cross P4×P5 exhibiting better parent heterosis for maximum traits also exhibited at par mean performance for 5 traits including grain yield per plant over the better parent. For grain zinc content, two crosses from high and low while, nine crosses from moderate divergence classes reported positive significant heterosis and SCA effects. For grain iron content, 1 cross with high, 2 crosses with moderate while four crosses with low divergence classes reported significantly positive heterosis and SCA effects.

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Genetic Divergence Studies for Anaerobic Germination Traits in Rice (Oryza sativa L.)

Cited by 9 publications

References 9 publications

Genetic divergence studies for yield and quality traits in high protein landraces of rice (Oryza sativa L.)

Genetic divergence studies for yield and quality traits in high protein landraces of rice (Oryza sativa L.)

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

Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.)

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