Yield attributing traits of high zinc rice (Oryza sativa L.) genotypes with special reference to principal component analysis

Yield attributing traits of high zinc rice (Oryza sativa L.) genotypes with special reference to principal component analysis

Total 21 high zinc rice genotypes were evaluated under five different locations for 14 different yield attributing traits, including grain yield/plant (gm) to determine the pattern of variation, the relationship among the individuals and their characteristics through Principal Component Analysis (P...

Full description

Bibliographic Details
Main Authors:	Partha Pratim Behera, Shravan Kumar Singh, Kasireddy Sivasankarreddy, Prasanta Kumar Majhi, Bodeddula Jayasankar Reddy, Dhirendra Kumar Singh
Format:	Article
Language:	English
Published:	Action for Sustainable Efficacious Development and Awareness 2022-08-01
Series:	Environment Conservation Journal
Subjects:	Individual PCA PCA biplot Pooled environment Rice
Online Access:	https://journal.environcj.in/index.php/ecj/article/view/1030

Similar Items

Assessment of variation in rice maintainer lines using principal component analysis
by: B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3
Published: (2024-03-01)

New Promising Rice Genotypes of SP87-1-1-2 and SP73-3-17 Adaptive to Lowland and Medium Land
by: Fitri Utami Hasan, et al.
Published: (2020-05-01)

Principal components of genetic diversity and association studies for yield related traits in pearl millet [Pennisetum glaucum (L.) R. Br.]
by: R. Narasimhulu1*, C. Tara Satyavathi2, B. Sahadeva Reddy1 and B. C. Ajay3
Published: (2022-03-01)

Genetic diversity and principal component analysis in cultivated rice (Oryza sativa) varieties of Assam
by: KANGKANA THAKUR, et al.
Published: (2023-02-01)

Morphological characterization of papaya accessions in Jember through multivariate analysis
by: Riza Yuli Rusdiana, et al.
Published: (2023-04-01)

Variance analysis for grain number related traits and study of population structure in rice (Oryza sativa)
by: N MOHANTY, et al.
Published: (2023-09-01)

Sparse HJ Biplot: A New Methodology via Elastic Net
by: Mitzi Cubilla-Montilla, et al.
Published: (2021-06-01)

Comparative patterns of principal component and cluster analysis under sodicity and normal soil conditions in rice (Oryza sativa L.)
by: M. Akilan1 , P. Jeyaprakash1*, M. Shanmuganathan2 , S. Meena3 , V. Rajanbabu1 and C. Vanniarajan1
Published: (2023-09-01)

Multivariate analysis among advanced breeding lines of rice (Oryza sativa L.) under sub-tropical ecology of Jammu region of Jammu and Kashmir
by: Danish Mushtaq* and Bupesh Kumar
Published: (2022-12-01)

Assessing the genetic diversity for yield traits in rice (Oryza sativa L.) genotypes using multivariate analysis under controlled and water stress conditions
by: Hamsa Poorna Prakash, et al.
Published: (2022-05-01)

Multivariate analysis of phenotypic diversity of rice (Oryza sativa) germplasm in North-West India
by: S K SHARMA, et al.
Published: (2014-02-01)

Principal Component Analysis of Infertility Data
by: Nazera Khalil Dakhil, et al.
Published: (2013-12-01)

Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations
by: Kamila Jarzynska, et al.
Published: (2024-12-01)

Evaluating the variability parameters among rice (Oryza sativa. L) landraces and varieties from Tamil Nadu
by: Aishwarya Duraiswamy1. K. Sherina Jebakani1, J. Lydia Pramitha1*, S. Ramchander1, N. Devasena1, D. Wilson1, P. Dinesh Kumar2 and P. Ramesh Kumar3
Published: (2023-06-01)

Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
by: Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
Published: (2023-06-01)

Genetic uniformity of varieties and an assessment on the diversity among the elite varieties of rice (Oryza sativa L.)
by: Neethu Francis and D. Packiaraj
Published: (2020-09-01)

Assessment of genetic diversity in aromatic rice (Oryza sativa L.) germplasm using PCA and cluster analysis
by: D. Shoba, et al.
Published: (2019-09-01)

Genetic divergence and interrelationships for yield and yield attributing traits in horsegram
by: G. Neelima1*, C. V. Sameer Kumar2, K. Avil Kumar3 and V. Nataraj4
Published: (2021-06-01)

Análisis de componentes principales con datos georreferenciados Una aplicación en agricultura de precisión
by: Mariano Córdoba, et al.
Published: (2022-11-01)

Effect Of Eigenfaces Level On The Face Recognition Rate Using Principal Component Analysis
by: Eyad. I. Abbas
Published: (2015-04-01)

HAND HUMAN RECOGNITION BERDASARKAN GEOMETRI TELAPAK TANGAN MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS
by: Nurul Fadillah, et al.
Published: (2019-11-01)

Moving objects classification via category-wise two-dimensional principal component analysis
by: Falah Alsaqre, et al.
Published: (2022-03-01)

Non-Orthogonal Multiple Access in Multiuser MIMO Configurations via Code Reuse and Principal Component Analysis
by: Panagiotis K. Gkonis, et al.
Published: (2020-08-01)

PCaLDI: Explainable Similarity and Distance Metrics Using Principal Component Analysis Loadings for Feature Importance
by: Takafumi Nakanishi
Published: (2024-01-01)

Assessing the Genetic Diversity of Parents for Developing Hybrids Through Morphological and Molecular Markers in Rice (Oryza sativa L.)
by: Rakkimuthu Nivedha, et al.
Published: (2024-02-01)

Influence of sulphur aerosols on physiological, yield and yield attributing of wheat (Triticum aestivum L.) using principal component analysis
by: Babithraj Gaddameedi, et al.
Published: (2021-12-01)

Principal Component Analysis (PCA) unravels spectral components present in XPS spectra of complex oxide films on iron foil
by: Neal Fairley, et al.
Published: (2023-10-01)

Principal component analysis of body biometric traits in Marathwadi buffaloes
by: POOJA B RAUT, et al.
Published: (2023-03-01)

Selection of microbial biomarkers with genetic algorithm and principal component analysis
by: Ping Zhang, et al.
Published: (2019-12-01)

Principal component analysis of sorghum landraces for yield contributing traits
by: K. Geetha* and S. Divya
Published: (2021-09-01)

Face Recognition Based Principal Component Analysis and Wavelet Sub bands
by: Abbas Hussien Miry
Published: (2013-11-01)

Development and Optimization of VGF-GaAs Crystal Growth Process Using Data Mining and Machine Learning Techniques
by: Natasha Dropka, et al.
Published: (2021-10-01)

Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments
by: Ramesh Kumar, et al.
Published: (2020-07-01)

Combined Application of Fluorescence Spectroscopy and Principal Component Analysis in Characterisation of Selected Herbhoneys
by: Joanna Banaś, et al.
Published: (2024-02-01)

Short-Term Wind Speed Prediction Based on Principal Component Analysis and LSTM
by: Dawei Geng, et al.
Published: (2020-06-01)

Principal Component Analysis (PCA) and hierarchial clustering in tobacco (Nicotiana tabacum L.) for yield and yield attributing traits
by: B. P. Maruthi Prasad1 , B. R. Patil*1, D. Geeta2 and P. S. Matiwade3
Published: (2023-06-01)

Principal component analysis suggests multiple dimensions of memory inhibition that are differentially affected by age
by: Fabian W. Corlier, et al.
Published: (2023-01-01)

Principal component analysis applied to remote sensing
by: Javier Estornell, et al.
Published: (2013-06-01)

GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
by: Hui Zhang, et al.
Published: (2023-09-01)

Impact of sample size on principal component analysis ordination of an environmental data set: effects on eigenstructure
by: Shaukat S. Shahid, et al.
Published: (2016-06-01)