Clustering and Principal Component Analysis of Nerica Mutant Rice Lines Growing Under Rainfed Condition

Nuruzzaman, Mohammed; Rana,; Ferdausi, Aleya; Huda, Md. Monjurul; Hassan, Lutful; Begum, Shameem Ara

doi:10.3126/ijasbt.v7i3.25703

Cited by 3 publications

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References 1 publication

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“…Among the traits selected on the basis of genotypic and phenotypic correlation in accordance with path analysis, rice mutants with the highest mean performance for total grains panicle -1 , filled grains panicle -1 and grain breadth were gathered into cluster V whereas the genotypes with maximum 100-grain weight and straw yield hill -1 were assembled into cluster VI. This specified the greatest contribution of these five traits headed for the variability of mutants grouped in the cluster from mutants found in cluster V and cluster VI (48). To exploit hybrid vigor, parents should be selected from the clusters with higher inter-cluster distance (49) as parents with high yield potential along with great genetic diversity increase the chance to yield superior progeny (50).…”

Section: Cluster Analysismentioning

confidence: 99%

Appraisal of genetic variability in sodium azide induced rice mutants to identify selection criteria for higher yield using quantitative attributes

Monirul²,

Kumar³

et al. 2022

Plant Sci. Today

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Induced mutation is an effective tool in generating variability of crop plants. Identification of efficient genotypes with improved yield requires knowledge of genetic variation in yield and yield contributing traits. Therefore, an investigation was conducted to develop variants through azide mutagenesis and estimation of genetic variability of the mutants to detect selection standards towards higher yield. Mature rice seeds were mutagenized with estimated LD50 concentration. A hundred mutants were grown-up accordingly and their quantitative traits were evaluated through multivariate analysis to assess genetic variability. Every assessed trait except grain length exhibited highly significant variation for all mutants. The high genotypic and phenotypic coefficient of variation along with high heritability and genetic advance as a % of mean was accounted for total and filled grains panicle-1. Grain yield was positively and significantly correlated with total grains panicle-1, filled grains panicle-1 and straw yield hill-1. Besides, higher variance was also associated with these traits. Ward’s Agglomerative clustering grouped the mutants into 7 major clusters. More than 36% of total variation was associated with first 2 principal components (PCs) and was mostly with total grains panicle-1 and filled grains panicle-1 whereas third and fourth PCs were mainly accounted for straw yield hill-1. Thus, these traits should receive special attention during selection of yield potential genotypes. Presence of genetic variation in mutants was ensured for most of the traits and selection based on greater tillers hill-1, grains panicle-1 and straw yield hill-1 may open a new avenue towards improved yield and other traits in rice.

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Section: Cluster Analysismentioning

confidence: 99%

Appraisal of genetic variability in sodium azide induced rice mutants to identify selection criteria for higher yield using quantitative attributes

Monirul²,

Kumar³

et al. 2022

Plant Sci. Today

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“…The PCA analysis produced Eigenvalues for thirteen maize genotypes across ten variables (plant traits), as well as cumulative (%) variances explained and variability percentages. Eigenvalues measure the contribution and importance of each component to total variance based on its Eigenvalue (Nuruzzaman et al, 2019).…”

Section: Principle Component Analysis (Pca)mentioning

confidence: 99%

Morphological Standard Based Genetic Diversity Among Maize (Zea mays L.) Accessions Indigenous to Pakistan

2022

IJAB

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The present study was conducted to assess the genetic diversity among maize accessions indigenous to Pakistan. The research was directed in the field area of plant breeding and genetics, University of Agriculture Faisalabad. The experiment was laid down in a randomized complete block design with three replications. The characters that are studied were Days to 50% tasseling, Days to 50% silking, Anthesis silking interval, Plant height (cm), Ear height (cm), Cob length (cm), Cob diameter (mm), No of grains per cob, 100-grain weight (g), Cob yield per plant (g), Grain yield per plant (g). At the maturity, stage data were collected for all the traits. Analysis of variance revealed that all the genotypes under study were highly significant for all the traits. The principal component analysis (PCA) showed that the first four principal component analysis displayed eigenvalues with >1 and imparted 83.44% share to total variability. According to scatter plot genotypes UAF-PB-805, UAF-PB-378, UAF-PB-794, UAF-PB-364, and UAF-PB-871 were genetically diverse and should be considered for selection program. Dendrogram classified twenty genotypes into nine clusters based on their similarity. Cluster 9 had maximum intra-cluster distance depicting more variability as compared to other clusters. The genotypes in these clusters had high variability for study attributes. These results showed that the inbred lines having widely divergent clusters can be utilized in the hybrid breeding program.

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Morphological characterization and genetic diversity analyses of plant traits contributed to grain yield in maize (Zea mays L.)

Islam¹,

Ferdausi²,

Sweety³

et al. 2020

J biosci agric res

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Clustering and Principal Component Analysis of Nerica Mutant Rice Lines Growing Under Rainfed Condition

Cited by 3 publications

References 1 publication

Appraisal of genetic variability in sodium azide induced rice mutants to identify selection criteria for higher yield using quantitative attributes

Appraisal of genetic variability in sodium azide induced rice mutants to identify selection criteria for higher yield using quantitative attributes

Morphological Standard Based Genetic Diversity Among Maize (Zea mays L.) Accessions Indigenous to Pakistan

Morphological characterization and genetic diversity analyses of plant traits contributed to grain yield in maize (Zea mays L.)

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