A study was conducted at the Sebele and Goodhope Research Stations to estimate genetic parameters of sunflower and select the best performing genotypes. Analysis of variance revealed significant difference among the 36 genotypes for all the eight traits. Principal Component Analysis, top 3 components explained 81.6% of total contribution, highlighting major contributors of phenotypic variability. All characters were positively correlated to GYHA. GCV ranged from (5.99-12.64) while PCV ranged from (6.62-19.01) for DF and GYHA for both coefficients respectively. Higher heritability was expressed for most traits, while moderate heritability between (30-60%) was record for GC, FPS, and GYHA. The genetic advance as percentage of mean (GAM) ranged from 9.99% for GC to highest of 25.24% for PH and most of the traits were moderate (10-20%). High heritability coupled with GAM was recorded on PH (85.26% 25.45%), an indication that this trait is governed by additive gene action. Higher heritability together with moderate GAM, was observed on DF (82.06% 11.18%), DM (73.69% 13.29%), LN (70.18% 17.85%), 1000SW (71.92% 19.00%). Grain yield ranged from 997 kg/ha for SUN310 to 1862 kg/ha for SUN322 genotypes. The twelve best performing genotypes were SUN322, SUN-MOL4, CH301/105, SUN206, SUN205, SAONA403, RUSSIAN4, RUS4-401, RUS4SH14, JUPWTSH14, JUP2-WTSH14, JUPSH14 with a yield of more than 1500kg/ha. The study revealed higher genetic diversity among the sunflower genotypes; therefore, selection is feasible, based on the traits with higher heritability, genetic advance of mean and positive correlations.
Molosiwa et al. (Tue,) studied this question.
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