Evaluation of some indigenous rapeseed genotypes for adaptability and yield traits in the agro-climatic conditions of Mansehra

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Research Paper 01/11/2015
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Evaluation of some indigenous rapeseed genotypes for adaptability and yield traits in the agro-climatic conditions of Mansehra

Muhammad Bilal, Sher Aslam Khan, Haneef Raza, Farhad Ali, Shah Masaud Khan, Naushad Ali, Izhar Hussain, Junaid Khan
Int. J. Biosci. 7(5), 127-135, November 2015.
Copyright Statement: Copyright 2015; The Author(s).
License: CC BY-NC 4.0

Abstract

The present study was undertaken to evaluate some indigenous rapeseed genotypes for adaptability and yield traits in the agro-climatic condition of Mansehra. These genotypes were evaluated in randomized complete block design with three replications. The experimental materials were consisting of 23 genotypes of national uniform yield trail (NUYT). Data was recorded on ten randomly selected plants from each genotype for six different characters. The six characters were studied viz., days to maturity, plant height, pods plant-1, pod length, yield plant-1, 1000-seed weight. Analysis of variance revealed significant differences (P≤0.05) among the genotypes for the all traits, which confirm the presence of genetic diversity. On average, the NIFA-6 showed best performance than remaining genotypes for yield attributing traits and eventually increased yield per plant. Heritabilities (broad sense) were moderate to high in magnitude for all traits. Major yield components viz., days to maturity, pods per plant and pod length revealed positive correlation with yield per plant. However, plant height showed significant (P≤0.01) negative correlation with yield per plant due to lodging. Overall, the genotypes viz., NIFA-6, 19-H and Bulbul-98 exhibited maximum yield per plant. Results revealed that the studied genotypes with larger genetic potential, positive relationship between yield and yield contributing traits and moderate to high heritability could guide intensive selection and improvement and could further be studied to identify better performing lines for Mansehra division.

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