Multivariate Analysis of Genetic Diversity among some Rice Genotypes Using Morpho-agronomic Traits

Worede, Fisseha; Sreewongch, Tanee; Phumichai, Chalermpol; Sripichitt, Prapa

doi:10.3923/jps.2014.14.24

Cited by 23 publications

(15 citation statements)

References 11 publications

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“…Selection based on these traits could result in a proportionate increase in grain yield. The results are in agreement with Guru et al (2016), Prasannakumari et al (2020), Rashid et al(2014) and Sathishkumar et al (2020) for plant height and the number of productive tillers per plant, Guru et al (2016) for the number of grains per panicle, Worede et al (2014) for panicle length, Kumar et al (2018) for 100 grain weight, Rahman et al (2013) for spad meter reading, Bhattachrara et al(2019) for flag leaf area.…”

Section: Resultssupporting

confidence: 87%

Multivariate analysis of wild rice MAGIC population under sodic soil condition

2021

EJPB

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A study was conducted with 98 wild rice MAGIC lines under sodic soil conditions to estimate potential variation among rice genotypes. Observations on 12 morphometric traits were subjected to multivariate analyses viz., PCA and cluster analysis to assess genetic diversity. A correlogram was generated to depict the association among the traits. Results of ANOVA suggested the existence of significant variability among the lines. PCA showed that PC1 and PC2 represented 54 per cent of variation. PC1 accounted for the highest variance (38 %) for six characters followed by PC2 which accounted for (15 %) for four characters. Flag leaf area, plant height, panicle length, flag leaf length, flag leaf breadth and panicle breadth were identified as vital traits contributing to variability. Based on hierarchical cluster analysis, the genotypes were grouped into eight clusters. Correlation analysis suggested that the traits viz., number of productive tillers, number of grains per panicle, panicle length and 100 grain weight had a significant correlation with grain yield. Based on per se performance and correlation, the genotypes WRM 6, WRM 10, WRM 22, WRM 29 and WRM 105 were identified as superior and could be exploited as genetic stocks for rice improvement under sodic soil conditions.

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Section: Resultssupporting

confidence: 87%

Multivariate analysis of wild rice MAGIC population under sodic soil condition

2021

EJPB

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“…There were significant differences (P<0.01) among varieties for all characters studied, indicating the existence of genetic variability within the varieties. The present investigation is in confirmation with early findings (Veasey et al, 2008;Worede et al, 2014;Fentie et al, 2014). Mean of days to heading of all varieties in the trial was 94.71 days.…”

Section: Analysis Of Variance and Performance Of Varietiessupporting

confidence: 94%

Genetic Gain in Yield and Yield Attributing Traits of Rice under Upland Ecosystem of Fogera, Northwest Ethiopia

Ayenew¹,

Dejene

Worede

2021

Black Sea Journal of Agriculture

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Evaluation of varieties from different years in a common environment is one of the most direct methods used to estimate breeding progress. Twenty upland rice varieties released in Ethiopia from 1998 to 2016 were evaluated at Fogera National Rice Research and Training Center in 2017 cropping season to estimate the amount of genetic gain over the years. The varieties were laid out in a randomized complete block design with three replications. Analysis of variance revealed significant differences among varieties for all traits. Grain yield was increased from 2.76 t ha -1 to 4.86 t ha -1 over the past 18 years. The average rate of increase in grain yield of upland rice per year, estimated from the linear regression on year of variety release, was 0.044 t ha -1 with a relative genetic gain of 1.59% year -1 , although non-significant. The study showed significant improvements in grain-filling period, panicles length and number of filled-grains panicle -1 . Significant reduction was also observed in days to heading and thousand-seed weight. No marked changes were observed in grain yield per plant and biological yield, number of fertile tillers, plant height and days to maturity over the 18-year period.

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“…There was also a lot of variation in grain production across the twelve coarse rice genotypes (Zahid et al, 2005). Significant diversity in agro-morphological traits was reported in rice genotypes by Worede et al (2014), Shrestha et al (2020b), andShrestha et al (2021).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of growth and yield traits in rice genotypes using multivariate analysis

Shrestha

Subedi

Kushwaha

et al. 2021

Heliyon

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Rice ( Oryza sativa L.) is the first staple crop in terms of production and area of cultivation in Nepal. The amount of genetic variability is important factor in identifying suitable genotypes in rice breeding programs. This study was conducted in Khumaltar, Lalitpur, Nepal during rainy seasons of 2018 and 2019. Forty rice genotypes were planted in Alpha Lattice Design with two replications to determine the genetic diversity among them. The rice genotypes were grouped into 7 clusters based on growth and yield traits. The traits sucnamely plant height, panicle length, number of tillers/plant and grain yield were found highly significant (p < 0.01). Rice genotypes NR 10676-B-1-3-3-3 produced the highest yield (5.65 t/ha), followed by NR10410-89-3-2-1-1 (5.54 t/ha). The highest distance between cluster centroids (83.51) was found in the cluster 2 (Bange Masino, Hansa raj, Indrabeli, NR 11178-B-B-6-1, NR 11368-B-B-17, Pokhreli Jethobudho, Pokhreli Masino), and cluster 4 (IR73008-136-2-2-3, IR74052-95-3-2) indicating genetic dissimilarity among the genotypes which can be utilized in a hybrid breeding programme. Genotypes of cluster 2 had the highest grain yield (4.97 t/ha). The results of this study suggest that genotypes grouped in cluster 2 can be grown for higher grain production in mid-hills of Nepal.

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Multivariate Analysis of Genetic Diversity among some Rice Genotypes Using Morpho-agronomic Traits

Cited by 23 publications

References 11 publications

Multivariate analysis of wild rice MAGIC population under sodic soil condition

Multivariate analysis of wild rice MAGIC population under sodic soil condition

Genetic Gain in Yield and Yield Attributing Traits of Rice under Upland Ecosystem of Fogera, Northwest Ethiopia

Evaluation of growth and yield traits in rice genotypes using multivariate analysis

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