Interrelationship Between 1000 Seed Weight with Other Quantitative Traits in Confectionary Sun ower

Year 2016, Volume: 2 Issue: 1, 51 - 56, 01.01.2016

Nada Hladni Siniša Jocić Vladimir Miklič Dragana Miladinović Miroslav Zorić

Abstract

Breeding for increase in 1000 seed weight, results in increased seed yield. Therefore it is considered an important criterion in the development of confectionary sunflower hybrids. In this paper, we studied mutual relationships among several quantitative traits on one hand, and between 1000 seed weight on the other. Path coefŞcient analysis was used to separate direct and indirect effects of studied traits on 1000 seed weight, and to identify traits that could be used as selection criteria in sunflower breeding. The research was conducted during three vegetation seasons on 22 NS high-protein two-line confectionary sunflower hybrids, produced within the breeding program at IFVCNS, Novi Sad, Serbia. SigniŞcant and highly signiŞcant correlations were found among the largest number of examined traits. The analysis of simple correlation coefŞcients showed a highly signiŞcant positive correlation between 1000 seed weight and length of seed (0.717**), seed hull ratio (0.609**) and signiŞcant positive correlation with thickness of seed (0.549*). A signiŞcant negative interdependence was determined between 1000 seed weight and seed protein content (-0.538*). Path coefŞcient analysis for 1000 seed weight at phenotypic level showed that the length of seed and thickness of seed had a highly signiŞcant direct positive effect on 1000 seed weight (DE=0.849**; DE=0.748**). Width of seed had a strong negative direct effect on 1000 seed weight (DE=-387*). A weak direct negative effect of kernel protein content and seed hull ratio was established, whereas seed protein content had a weak direct positive effect on 1000 seed weight. This indicates that length and thickness of seed have high influence on 1000 seed weight

Keywords

confectionary sunflower, correlations, 1000 seed weight, path coefficient analysis, quantitative traits

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