Back to Contents

FREE FULL TEXT PDF

Analysis of genetic and genotype × environment interaction effects for agronomic traits of rice (Oryza sativa L.) in salt tolerance

H.K. Zhou¹, Y. hayat ², L.J. Fang¹, R.F. Guo¹, J.M. He¹ and H.M. Xu^3*

Abstract: A diallel cross experiment of 4 rice (Oryza sativa L.) female and 6 male varieties was conducted to study the genetic effects and their interaction with salt-stress condition of 7 agronomic traits in normal and salt-stressed planting conditions. The panicle length (PL), effective number of panicles per plant (ENP), plumped number of grains per panicles (PNG), total number of grains per panicles (TNG), 1000-grain weight (W), seed setting ratio (SSR) and grain weight per plant (PGW), were investigated. A genetic model including additive effect, dominance effect and their interaction effects with environment (ADE) was employed for analysis of data. It was observed that significant (p<0.05) additive effects, dominance effects, additive × environment interaction effects and dominance × environment interaction effects exist for most of the agronomic traits of rice. In addition, significant (p<0.05) narrow sense heritabilities of ENP, PNG, TNG, W and PGW were found, indicating that the genetic performance of these traits are greatly affected by salt stress condition. A significant (p<0.05) negative correlations in the additive effects and additive × environment interaction effects detected between ENP and PNG suggesting that selection on increasing of ENP can reduce PNG. In addition, there exist a highly significant (p<0.01) positive dominance correlation among the dominance effects of the ENP, PNG and TNG, which shows that it is possible to breed salt-tolerant rice variety by coordinating large panicle and multi-panicle in utilization of heterosis.

¹Guangdong Ocean University Agriculture College, Zhanjiang, 524088, People’s Republic of China

²Department of Mathematics, Statistics and Computer Science,  NWFP Agricultural University Peshawar, Pakistan

³Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, 310029, P. R. China

^*Corresponding author E-mail: hmxu@zju.edu.cn