Quantitative Analysis of Oil Yield and Its Components in Newly Developed Hybrids of Sunflower (Helianthus annuus L.)

Genetic variability and selection criteria of some sunflower genotypes under different pollination methods

“…It is apparent from the pooled data in Table (4) that significant differences were detected among the ten tested sunflower genotypes for all studied traits, indicated that there is valuable genetic variation in these genotypes to warrant selection for improvement sunflower crop. Similar significant genotypic effects for all studied traits were reported by Supriya et al (2016), Neelima et al (2016) and Supriya et al (2017). Irrespective of pollination methods imposed, 'Sakha 53' (21.55 cm) followed by 'L120' (19.83 cm) behaved as the largest head diameter; 'L120' (534.95) followed by 'L880' (503.37) gave more filled seeds per head; 'L120' (80.07 %) followed by 'L92' (76.59 %) had the highest proportion of seed setting; 'L355' (6.76 g) followed by 'L167' (6.73 g) possessed the biggest mass of 100-seed; 'L355' (538.58 mg) followed by ''L880 (535.33 mg) had the biggest mass of kernel; 'L880' (199.71 mg) followed by 'L355' (198.61 mg) expressed the highest mass of hull; the highest proportion of hull was detected in 'L355' (1.07 %) followed by 'L167' (0.82 %); 'L120' (2.98 %, 37.28 g, 1022.95 kg and 42.86 %) followed by 'L92' (2.83 %, 33.83 g, 890.05 kg and 40.21 %) behaved as the largest ratio of Kernel to hull, seed mass per plant, seed yield per fed and seed oil content, respectively.…”

“…This indicated that tested sunflower genotypes significantly differed from pollination method to another for all studied traits, hence it was considered as important interaction to discussion. Similar significant interactive effect of pollination methods with sunflower genotypes were reported by Supriya et al (2016), Neelima et al (2016) and Supriya et al (2017).…”

“…Successful sunflower breeding program depends on magnitude of genetic variability in the breeding material and knowledge of selection criteria would be effective in improving seed yield. In this respect, considerable amount of genetic variability might be affect days to first flowering, days to full flowering, plant height, stem diameter, autogamy percentage, self-compatibility percentage, head diameter, number of filled seeds per head, number of unfilled seeds per head, total number of seeds per head, seed setting percentage, 100-seed mass, kernel mass (mg), hull mass (mg), hull content (%), kernel to hull ratio, seed mass per plant, seed yield per fed and seed oil content as reported by Sameena (2003), Supriya et al (2016), Neelima et al (2016) and Supriya et al (2017). High heritability coupled with high percentage of genetic advance were observed for head diameter, seed mass per plant, 100-seed mass, pollen production per plant, plant height and percentage of hull mass as reported by by Khan and Muhammad (2007), Kalukhe et al (2010), Sudrik et al (2014) and Seyed et al (2014), Sheshaiah and Shankargoud (2015), Supriya et al (2016), Dudhe et al (2017) and Baraiya et al (2018).…”

Creating new genetic variability with the aim of increasing the yield of seed and oil in sunflower

“…Najniže vrednosti prinosa semena po biljci u potomstvima F2 generacije izmerene su kod ukrštanja R1xR6 (50,06 g) i R4xR6 (50,14 g). U prethodnim istraživanjima drugih autora navodi se da vrednosti prinosa semena po biljci variraju od 9,76 g do 36,95 g (Sujatha et al, 2002;Supriya et al, 2017).…”

“…Niske vrednosti heritabilnosti ukazuju da selekciju na tu osobinu treba raditi u kasnijim generacijama, dok visoke vrednosti upućuju na efikasnost selekcije već u ranijim generacijama. Mijić et al (2009) su ustanovili niske vrednosti heritabilnosti u širem smislu za prinos ulja, dok su u novijim istraživanjima Vikas et al (2015) i Supriya et al (2017) ustanovili visoke vrednosti heritabilnosti u širem smislu za prinos ulja po biljci.…”