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Multivariate analysis of genetic divergence in wheat (Triticuma estivum) using yield traits

By: Rehmat Kabir, Anisa Intikhab, Misbah Zahoor, Israr Ahmed, Bazeer Khan, Muhammad Zakriya, Mujeeb-ur-Rehman, Muhammad Atif Muneer, Muhammad Zeeshan Munir

Key Words: Genetic divergence, Multivariate analysis, PCA, Correlation, Wheat

Int. J. Biosci. 11(2), 43-48, August 2017.

DOI: http://dx.doi.org/10.12692/ijb/11.2.43-48

Certification: ijb 2017 0064 [Generate Certificate]

Abstract

The study was conducted to assess genetic divergence in wheat (Triticum aestivum L.) using yield traits. The experiment was planted at Mountain Agricultural Research Center, Juglot, Pakistan during 2014-15 following randomized complete block design with three replications. Plant material for the study comprised of 16 lines and four commercial cultivars of bread wheat. The data recorded were days to 50% heading, days to 50% maturity, plant height (cm), Number of grains spike-1, grain yield per plot, straw yield per plot, 1000 grain weight and yield per hectare. On the basis of multivariate analysis, genotypes 110, 119, 128, 143 and Pirsabak-2013 were showing maximum divergence from other genotypes. This study has shown the existence of considerable genetic variation among the genotypes considered with may help for further selection and breeding. Parents may be selected from clusters which had significant genetic distance for crossing in order to obtain genetic recombination and transgressive segregation in the subsequent generations. However further study across location and years needs to be done in order to corroborate the results obtained in the present investigation.

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Multivariate analysis of genetic divergence in wheat (Triticuma estivum) using yield traits

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Rehmat Kabir, Anisa Intikhab, Misbah Zahoor, Israr Ahmed, Bazeer Khan, Muhammad Zakriya, Mujeeb-ur-Rehman, Muhammad Atif Muneer, Muhammad Zeeshan Munir.
Multivariate analysis of genetic divergence in wheat (Triticuma estivum) using yield traits.
Int. J. Biosci. 11(2), 43-48, August 2017.
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