Estimation of heritability for seed cotton yield in cotton based on regression approach.
MATERIALS AND METHODS
For determining heritability of yield per se [F.sub.5] and [F.sub.6] lines developed through reciprocal selection in cotton of a heterotic box involving elite lines of robust/stay green group (RSG) and RGR (high relative growth rate) were used. This heterotic box comprises of DSMR-10 line (of stay green group), DSG-3-5 line (of robust group) and two DRGR-32-100 and DRGR-24-178 lines (of RGR group). These lines were crossed (DSMR-10 X DSG-3-5) (DRGR-32-100 X DRGR-24-178) two give two [F.sub.1]. Resulting [F.sub.1]s were advanced to the [F.sub.4] and [F.sub.5] generation where recombinational variability for combining ability was evaluated. Here, regression of ten parental lines of [F.sub.6] generation over [F.sub.5] generation was carried out to determine the heritability of yield per se.
The seed cotton yield values of [F.sub.5] and [F.sub.6] lines were utilized for determining regression values i.e., ([b.sub.F6F5]). Heritability ([h.sup.2.sub.NS]) of yield per se was calculated based on regression approach given by Smith and Kinman, (1965). [h.sup.2] = (b/[2r.sub.XY])
where, [h.sup.2] = Narrow sense heritability
b = Regression coefficient
[r.sub.XY] = Coefficient of parentage [which works out to be (31/32) for this situation]
The mean seed cotton yield of lines was used for regression of [F.sub.6] lines over [F.sub.5] lines, finally giving the regression value (bF6F5). The regression value ([b.sub.F6:F5]) was divided with the coefficient of parentage (31/32) depending upon the generations of the lines used in the analysis.
The set of [F.sub.5] and [F.sub.6] lines were evaluated in replicated block design and MSS values in the ANOVA for genotypes and error component were utilised in determining broad sense heritability ([h.sup.2] = [V.sub.g]/[V.sub.p]).
RESULTS AND DISCUSSION
Regression of seed cotton yield of [F.sub.6] lines over [F.sub.5] lines were carried out for RSG and RGR group, ANOVA of regression coefficient was presented in table 1 (a) and 1(b) respectively.
The regression value ([b.sub.F6:F5]) for the lines derived from (DSMR-10 x DSG-3-5) cross was (0.48) (Tab.2). Narrow sense heritability ([h.sup.2.sub.NS]) for yield per se of the lines derived from (DSMR-10 x DSG3-5) cross observed was 24.90 per cent. The regression value ([b.sub.F6:F5]) for the lines derived from (DRGR-24-178 x DRGR-32-100) cross was (0.41) (Tab.3). The heritability ([h.sup.2.sub.NS]) for the lines derived from (DRGR-24-178 x DRGR-32-100) cross observed was 21.21 per cent. Cahaner and Hillet (1980), Salimath and Patil (1990) and Sunderman et al. (1965) have also reported similar low narrow sense heritability values in different crops.
Broad sense heritability was estimated from the ANOVA of RBD obtained for RSG group (DSMR-10 x DSG-3-5) cross was 76.30per cent and RGR group (DRGR-24-178 x DRGR-32-100) cross was 90.00 per cent. Comparison of broad sense heritability obtained by RBD analysis and narrow sense heritability obtained by regression approach has been shown in tab. 4. In earlier studies wide range of broad sense heritability values were obtained for seed cotton yield by Naveed et al., 2004 (33%), Aziz et al., 2006 (74.10%), Desalegn et al., 2009 (44%), Alkuddsi et al., 2013 (43.74%), Reddy et al, 2014 (80%), Singh et al., 2014 (78.55%) and Ambedkar, 2015, (89.10%).
Yield per se is a trait which is highly influenced by environment. In this study, narrow sense heritability for RSG and RGR groups of lines was 24.90 and 21.21 per cent respectively. In present study considerable difference was obtained between broad sense heritability and narrow sense heritability values indicating role of both additive and non additive gene action. This is an indication that genotypic values for yield are determined by both breeding value and dominance deviation. (Falconer, 1981).
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Girish Tantuway, Shreekant S. Patil, Hanamaraddi Kencharaddi, Aman Tigga and Vinayak Edke
Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad-580 005, India.
(Received: 13 June 2016; accepted: 19 September 2016)
* To whom all correspondence should be addressed.
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Table 1(a). Analysis of variance for regression coefficient of RSG group lines Model Unstandardized Standardized 't' value Significance Coefficients Coefficients B Std. Beta Error (Constant) 1087.96 611.05 1.78 0.11 [F.sub.5] 0.48 ** 0.37 0.41 1.27 0.24 a. Dependent variable [F.sub.6] Table 1(b). Analysis of variance for regression coefficient of RGR group lines Model Unstandardized Standardized 't' Significance Coefficients Coefficients value B Std. Beta Error (Constant) 1065.38 326.73 3.26 0.01 [F.sub.5] 0.41 ** 0.20 0.58 2.04 0.07 a. Dependent variable [F.sub.6] Table 2. Regression of [F.sub.6] lines over [F.sub.5] lines of RSG group (DSMR-10 x DSG-3-5) cross for heritability of per se yield Sl. [F.sub.5] lines Seed cotton [F.sub.6] lines Seed cotton No. yield (kg yield (kg [ha.sup.-1]) [ha.sup.-1]) 1 RSG [F.sub.5] 1 1620.47 RSG [F.sub.6] 1 2128.48 2 RSG [F.sub.5] 2 1804.54 RSG [F.sub.6] 2 2760.77 3 RSG [F.sub.5] 3 1984.95 RSG [F.sub.6] 3 2097.22 4 RSG [F.sub.5] 4 1891.55 RSG [F.sub.6] 4 1381.96 5 RSG [F.sub.5] 5 1445.01 RSG [F.sub.6] 5 1552.09 6 RSG [F.sub.5] 6 957.97 RSG [F.sub.6] 6 1741.90 7 RSG [F.sub.5] 7 1394.35 RSG [F.sub.6] 7 1320.61 8 RSG [F.sub.5] 8 998.85 RSG [F.sub.6] 8 1579.86 9 RSG [F.sub.5] 9 1814.59 RSG [F.sub.6] 9 1894.54 10 RSG [F.sub.5] 10 1826.13 RSG [F.sub.6] 10 2003.47 Regression of per se yield of [F.sub.6] lines over [F.sub.5] lines (b) = 0.48 Heritability ([h.sup.2.sub.NS]) of per se yield = 24.90% Table 3. Regression of [F.sub.6] lines over [F.sub.5] lines of RGR group (DRGR-24-178 x DRGR-32-100) cross for heritability of per se yield Sl. [F.sub.5] lines Seed cotton [F.sub.6] lines Seed cotton No. yield (kg yield (kg [ha.sup.-1]) [ha.sup.-1]) 1 RGR [F.sub.5] 1 804.74 RGR [F.sub.6] 1 1728.50 2 RGR [F.sub.5] 2 1008.10 RGR [F.sub.6] 2 1263.68 3 RGR [F.sub.5] 3 1458.35 RGR [F.sub.6] 3 1406.25 4 RGR [F.sub.5] 4 1690.70 RGR [F.sub.6] 4 1748.62 5 RGR [F.sub.5] 5 1936.06 RGR [F.sub.6] 5 1763.90 6 RGR [F.sub.5] 6 1575.23 RGR [F.sub.6] 6 1499.20 7 RGR [F.sub.5] 7 1896.99 RGR [F.sub.6] 7 1899.55 8 RGR [F.sub.5] 8 1880.95 RGR [F.sub.6] 8 1664.13 9 RGR [F.sub.5] 9 2094.94 RGR [F.sub.6] 9 2332.23 10 RGR [F.sub.5] 10 1385.85 RGR [F.sub.6] 10 1819.01 Regression of per se yield of [F.sub.6] lines over [F.sub.5] lines (b) = 0.41 Heritability ([h.sup.2.sub.NS]) of per se yield = 21.21% Table 4. Comparison of broad sense heritability obtained by RBD analysis and narrow sense heritability obtained by Regression approach Sl. Cross name Broad sense Narrow sense No. heritability (%) heritability (%) 1. RSG group 76.30 24.90 (DSMR-10 x DSG-3-5) 2. RGR group 90.00 21.21 (DRGR-24-178 x DRGR-32-100)
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|Author:||Tantuway, Girish; Patil, Shreekant S.; Kencharaddi, Hanamaraddi; Tigga, Aman; Edke, Vinayak|
|Publication:||Journal of Pure and Applied Microbiology|
|Date:||Dec 1, 2016|
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