African Journal of
Plant Science

  • Abbreviation: Afr. J. Plant Sci.
  • Language: English
  • ISSN: 1996-0824
  • DOI: 10.5897/AJPS
  • Start Year: 2007
  • Published Articles: 807

Full Length Research Paper

Evaluation of rice (Oryza sativa L.) advance uniform lines using multivariate analysis

Awais Riaz
  • Awais Riaz
  • Rice Research Institute, Kala Shah Kaku, Punjab, Pakistan.
  • Google Scholar
Tahira Bibi
  • Tahira Bibi
  • Rice Research Institute, Kala Shah Kaku, Punjab, Pakistan.
  • Google Scholar
Qasim Raza
  • Qasim Raza
  • Rice Research Institute, Kala Shah Kaku, Punjab, Pakistan.
  • Google Scholar
Muhammad Sabar
  • Muhammad Sabar
  • Rice Research Institute, Kala Shah Kaku, Punjab, Pakistan.
  • Google Scholar
Muhammad Akhter
  • Muhammad Akhter
  • Rice Research Institute, Kala Shah Kaku, Punjab, Pakistan.
  • Google Scholar


  •  Received: 07 May 2018
  •  Accepted: 20 August 2018
  •  Published: 30 November 2018

References

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Idris AE, Khalid AM (2013). Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa L.). Global Journal of Plant Ecophysiology 3(1):1-6.

 
 

Jeffers JNR (1967). Two case studies in the application of principal component analysis. Applied Statistics 16:225-236.
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Maji AT, Shaibu AA (2012). Application of principal component analysis for rice germplasm characterization and evaluation. Journal of Plant Breeding and Crop Science 4(6):87-93.
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Mohammadi M, Sharifi P, Karimizadeh R, Shefazadeh MK (2012). Relationships between grain yield and yield components in bread wheat under different water availability (dryland and supplemental irrigation conditions). Notulae Botanicae Horti Agrobotanici Cluj-Napoca 40(1):195-200.
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Nachimuthu VV, Robin S, Sudhakar D, Raveendran M, Rajeswari S, Manonmani S (2014). Evaluation of Rice Genetic Diversity and Variability in a Population Panel by Principal Component Analysis. Indian Journal of Science and Technology 7(10):1555-1562.

 
 

Ravindra BV, K Sherya, KS Dangi, G Usharani, AS Shankar (2012). Correlation and path analysis studies in popular rice hybrids of India. International Journal of Scientific and Research 2(3):1-5.

 
 

Sanni KA, Fawole I, Ogunbayo A, Tia D, Somado, Futakuchi EA, Guei RG (2012). Multivariate analysis of diversity of landrace rice germplasm. Crop Science (52):494-504.
Crossref

 
 

Seyoum M, Alamerew S, Bantte K (2012). Genetic variability, heritability, correlation coefficient and path analysis for yield and yield related traits in upland rice (Oryza sativa L.). Journal of plant sciences 7(1):13.

 
 

Sohgaura N, Mishra DK, Koutu GK, Singh SK, Kumar V, Singh P (2015). Evaluation of high yielding and better quality rice varieties using principal component analysis. Ecology, Environment and Conservation (21):187-195.

 
 

Tenorio FA, Ye C, Redona E, Sierra S, Laza M (2013). Screening rice genetic resources for heat tolerance. SABRAO Journal of Breeding and Genetics 45(3):371-381.