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Evaluation of Selection Criteria in Premium Quality Rice Genotypes Through Genetic Variability, Character Association and Path Analysis

S Ghosal
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.

M A Syed
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.

M Khatun
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.

P L Biswas
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.

T L Aditya
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.

Abstract/ Executive Summary:

This study evaluates yield contributing characters as selection criteria after studying genetic parameters, correlation coefficients and partitioning direct and indirect effects on yield of 21 premium quality rice genotypes in transplanted Aman season 2009. All the test characters were demonstrated significant variation. Considering genetic parameters, high genotypic coefficients of variation and high heritability coupled with high genetic advance over mean were observed for effective tiller number/m², panicle length (cm) and thousand grain weight (g). The characters also showed highly significant positive correlations with yield while plant height (cm) showed highly significant negative correlation with yield (t/ha) suggesting better opportunity for selecting genotypes based on these characters. Path coefficient analysis revealed that effective tiller number/m² exhibited higher direct effect on yield (t/ha) followed by panicle length (cm). All together with the genetic variability, correlation and path analysis revealed that effective tiller number/m², panicle length (cm), thousand grain weight (g) and plant height (cm) are the most four important selection criteria contributing higher rice yield. From the present investigation, it could be suggested that emphasis should be given on these characters for the selection of genotypes for higher yield in premium quality rice.

Keywords: Selection Criteria, Premium Quality Rice Genotypes, Genetic Variability, Path Analysis

Location: BRRI regional station Comilla

Start Date: 00-00-2009

End Date: 00-00-0000

Program Area: Variety and Species

Commodity: Rice

Objectives:

To explore the characters highly responsible for high yield potential through yield component analysis.

Methodology:

Twenty-one premium quality rice lines were evaluated at the BRRI regional station Comilla, in T. Aman 2009 using RCB design with three replications. Thirty-day-old seedlings were transplanted in 16.2 m² plots using 2-3 seedlings per hill. Fertilizers were applied at the rate of 80:60:40 kg N-P-K and 70 kg gypsum per hectare. All other fertilizers, except N, were used as basal dose and N was top dressed in two equal splits at 20 and 50 days after transplanting. Standard crop management practices were done as and when necessary. Data on plant height (cm), flag leaf area (cm²), effective tiller number/m², panicle length (cm), spikelet fertility (%), days to 50% flowering, growth duration (day) and thousand grain weight (g) were taken from randomly selected ten plants from each plot. Yields were taken from whole plot crop cutting and converted it to ton per hectare. Genotypic variance (σ2g), phenotypic variance (σ²p), genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability in broad sense (h2b), genetic advance (GA) were estimated by the formula suggested by Singh and Chaudhury (1985). Genotypic and phenotypic correlation coefficients and path coefficient analysis were done using Basica stat software. The estimate of GCV and PCV was classified as low (0-10), medium (>10-20) and high (>20) (Sivasubramanian and Madhavamenon, 1973). The heritability was categorized as low (0-30), medium (>30-60) and high (>60) suggested by Robinson et al, (1949). Again, genetic advance was classified by adopting the method of Johnson et al, (1995).

Source of Information: Bangladesh Rice J.16(1):59-62, June 2012, ISSN 1025-7330

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

The residual effect of the present study was 0.20, indicating that 80 percent of the variability in grain yield was contributed by the eight component characters studied in this path analysis. This gives an impression that a few other characters than those involved in the present study might also contributed to yield. The genetic variability, character associations and path analysis of the present study finally proved that panicle length (cm), effective tiller number/m2 and thousand grain weight (g) are the most important yield contributing characters on which emphasis should be given for the selection of superior premium quality rice genotypes.

Knowledge Management: Journal