Genetic variability, association analysis and path analysis in advance breeding material of Gossypium hirsutum L.

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Research Paper 01/01/2018
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Genetic variability, association analysis and path analysis in advance breeding material of Gossypium hirsutum L.

Ali Raza Irfan, Sun Yujun, Lv Jinying, Yang Deguang
Int. J. Biosci. 12(1), 293-298, January 2018.
Copyright Statement: Copyright 2018; The Author(s).
License: CC BY-NC 4.0

Abstract

Pakistan is known as an agricultural land around the world and cotton (Gossypium hirsutum L.) is an economically substantial rich harvesting crop in Pakistan having a good share in GDP. This experiment was planted to observe the associated relationship of different agronomic traits with the foremost seed cotton yield (SCY). Fifteen F4 lines and a cotton standard variety (S12) were under investigation. The recorded data was processed through analysis of variance which depicted the significant genetic variation among the germplasm. The genotypic correlation coefficient analysis revealed that number of bolls (NB), boll weight (BW) and staple length have significant positive interrelations with the seed cotton yield (SCY) but plant height (PH), sympodial branches (SB) and monopodial branches (MB) have positive and non-significant interrelations with seed cotton yield (SCY). The path coefficient analysis showed(0.6987)ginning out turn (GOT), number of bolls (NB) (0.4136) and boll weight (BW) (0.4295) have direct impact on the seed cotton yield (SCY). Consequently, our study revealed that ginning out turn (GOT), number of bolls (NB) and boll weight (BW) should be considered substantial while selecting the genotypes for the breeding purpose.

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