RAM NIWAS*, VINAY KUMAR, O. P. SHEORAN AND YOGENDER KUMAR
Department of Mathematics and Statistics
Department of Genetics and Plant Breeding
CCS Haryana Agricultural University, Hisar-125 004 (Haryana), India
*(e-mail : email@example.com)
(Received : 5 November 2020; Accepted : 22 December 2020)
Development of barley cultivars that achieve high yields despite the short growing season is essential for increasing barley production in India. The present study focuses on characterizing the causal relationship between grain yield and various components characteristics using the structural equation modelling with latent variables in barley crop. The data on grain yield and its attributing characters on 87 genotypes of barley (Hordeum vulgare L.) were taken for studying the relationships between them. A structural equation model that characterize the complex phenomenon and biological processes with less number of assumptions was used to study and describe the causal relationship between measured variables such as crop characteristics, crop phenology, canopy traits, yield and its components along with the latent variables.
Key words:Structural equation models, maximum likelihood estimation, latent variables