Accurate prediction of hybrid performance under variable environments requires models that capture both genetic and climatic drivers. In this study, linear mixed models (LMMs) were applied to grain weight, kernel rows, and kernels per row across multiple environments to evaluate...
Open access
Research Article10.9734/jabb/2025/v28i123425
The recent experiment aimed to investigate genetic traits for eleven characteristics, namely, Days to 50% tasselling, Days to 50% silking, Plant height (cm), Tassel length (cm), Ear length (cm), Ear diameter (cm), Ear height (cm), Number of kernel rows per cob, Number of kernels...
Open access
Research Article10.9734/jeai/2024/v46i82788
Susmita Cherukuri, Vipparthi Hemalatha, Kondajji Rangappa Yathish, Chikkappa Gangadhar Karjagi, Mallikarjuna N, Prema G U, Rakesh Kumar Develash, Omkar Kumar, Sunil Neelam, Sushil Pandey, Jyoti Kumari, Sherry Rachel Jacob & Badal Singh·Journal of Advances in Biology & Biotechnology·2025
The present study employed a 9 × 9 half-diallel mating design to estimate GCA and SCA effects among TLB-contrasting maize inbred lines, enabling the precise identification of superior parents and hybrid combinations for yield enhancement. Nine inbred lines were crossed during rab...
Open access
Research Article10.9734/jabb/2025/v28i123479