Empowering plant breeding research: A comprehensive web-based analysis tool for partial diallel crosses
Author(s): Rohit Kundu, OP Sheoran and Vinay Kumar
Abstract: The OPSTAT "Partial Diallel Analysis" module represents a pivotal advancement in plant breeding research, offering a sophisticated yet user-friendly platform for analyzing partial diallel cross data. This online tool employs a robust algorithm to automate complex statistical analyses, facilitating the exploration of genetic architecture and trait inheritance in breeding experiments. Through Randomized Block Design (RBD) and combining ability analysis, the tool enables researchers to assess treatment effects, estimate genetic parameters such as general combining ability (GCA) and specific combining ability (SCA), and identify superior parental lines and effective parent combinations for breeding programs. The outputs generated, including ANOVA tables, estimated genetic effects, and variance component estimates, provide comprehensive insights into experimental data, empowering breeders to make informed decisions and accelerate the development of improved crop varieties with desirable traits.
