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Cluster Analysis, Association and Path Coeficient Analysis for Seed Yield Improvement in Rapeseed

Author(s)
Tahira Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Muhammad Arshad Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Muhammad Ayub Khan Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Mubashar Ahmad Khan Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Oilseeds Research Program Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Islamabad Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Pakitan. Oilseeds Research Program, CSI, NARC, Islamabad, Pakitan.
Abstract
The present investigations were carried out to determine the degree of variation among rapeseed hybrids and the best selection criteria for yield enhancement in rapeseed (Brassica napus).For this thirty-six rapeseed hybrids were sown in a RCBD with four repeats at NARC, Islamabad during the cropping season 2014 and 2015. Cluster analysis based on WARD's method showed considerable genetic variation among the hybrids. In the first year, thirty- six Brassica hybrids were grouped into thirteen clusters. Cluster-IV comprised of maximum number of hybrids (six). The clusters mean and standard deviation marked that hybrid in Cluster XI (CRH-80) was short durational and high yielding mainly due to more branches and pods per plant.CRH-35 in cluster-VI was high yielding and has more seeds per pod. Similarly in second year, these thirty-six Brassica hybrids were grouped into ten clusters. Cluster-I consist of seven hybrids. Analysis for mean and standard deviation showed that hybrids in Cluster-VII (Hyola-401) was short durational and produced more number of seeds per pod. Genotypes CRH-84 and CRH-235 grouped in cluster IV produced maximum number of branches and pods per plant. It was observed that hybrids in Cluster-X (CHR-286 and CHR-102) having more pod length were high yielding. Genotypic and phenotypic correlations studies revealed that number of pods per plant had highly significant positive correlation with seed yield. The results of path coeficient analysis indicated that in both years, the direct effects of pod length and number of pods per plant on grain yield were positive and of high magnitude. Finally, it was concluded that the trait pods per plant can be exploited for the improvement of seed yield in rapeseed.
Publication Details
Page(s) 316-322
DOI DOI not available
Published Journal: Pakistan Journal of Agricultural Research, Volume: 30, Issue: 4, Year: 2017

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Keywords
Path analysis, cluster analysis, Association analysis, Seed yield and yield components, Rapeseed hybrids
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