Correlation and Path Analysis for Iron and Zinc Content in Segregating Population of Rice
1. Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
2. Anbil Dharmalingam, Agricultural College &Research Institute, Trichy, India
Rice Genomics and Genetics, 2015, Vol. 6, No. 1 doi: 10.5376/rgg.2015.06.0001
Received: 21 Jan., 2015 Accepted: 05 Mar., 2015 Published: 11 Mar., 2015
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Preferred citation for this article:
Sala and Geetha, 2015, Correlation and Path Analysis for Iron and Zinc Content in Segregating Population of Rice, Rice Genomics and Genetics, Vol.6, No.1 1-5 (doi: 10.5376/rgg.2015.06.0001)
Correlation and path analysis was carried out for yield and yield components in F4 generation. The correlation analysis indicated that the characters namelydays to fifty percent flowering, plant height, number of productive tillers per plant, hundred grain weight, kernel breadth and kernel L/B ratio, kernel breadth after cooking, breadth wise expansion ratio, linear elongation ratio and zinc content exhibited positive and significant correlation with grain yield. All these characters were also inter correlated among themselves. Iron content showed negative association with yield. Plant height, number of filled grains per panicle, hundred grain weight, kernel breadth, kernel L/B ratio and zinc content showed positive high to very high direct contribution with grain yield. So above traits might be given importance during selection which may result in yield improvement. Here plant height and days to fifty percent flowering and zinc content exhibited significant positive association in above two cross combinations. Zinc content had positive correlation with yield. So TRY (R) 2×Mapillai Samba cross used simultaneous improvement of zinc with grain yield.
Biofortification; Correlation; Iron & Zinc content; Path analysis