Multi-variate analysis for yield evaluation in rice (Oryza sativa L.) genotypes

Nwafor Daniel Chijioke; Oluwatoyin Sunday Osekita

doi:10.30574/gscarr.2021.6.3.0042

Authors

Nwafor Daniel Chijioke Department of Plant Science and Biotechnology, Adekunle Ajasin University Akungba Akoko, Ondo State, Nigeria.
Oluwatoyin Sunday Osekita Department of Plant Science and Biotechnology, Adekunle Ajasin University Akungba Akoko, Ondo State, Nigeria.

DOI:

https://doi.org/10.30574/gscarr.2021.6.3.0042

Keywords:

Variation, Principal component, Rice, Variety

Abstract

Field experiment was carried out at the experimental field of the Department of Plant Science and Biotechnology beside the screen house, to study yield evaluation in rice genotypes. The plot was laid out in a randomized complete block design (RCBD) and the treatments replicated three times. Seven rice genotypes sourced from the department crop improvement unit were sowed in a plot size of 5×1m. The study was conducted in 2016/2017 planting seasons. Data were collected on yield component traits i.e. number of tillers, plant height, number of days to panicle initiation, number of days to maturity, panicle length, panicle weight, number of spikelet per panicle, number of grain per panicle, 1000 grain weight, grain yield per hill and flag leaf length. The result of factor analysis indicated that the first factor was positively loaded for yield component trait however; the first six principal components jointly accounted for 98.99% of the total variation among the genotype studied. High levels of variability expressed among the varieties suggested that further improvement in the varieties is possible.

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