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
This study was carried out to analyse the trend analysis of the long-term annual and seasonal rainfall pattern in Telangana state, India. For this study monthly rainfall data of Telangana state from January 1982 to December 2021 was collected from the NASA power website (https://...
Open access
Research Article10.9734/ijecc/2022/v12i111391
Aim: This study aimed to analyse the trends and changes in long-term monthly and annual temperature patterns in Telangana state, India. For this study monthly temperature data of Telangana state from January 1960 to December 2022 was collected from the IMD website. The linear reg...
Open access
Research Article10.9734/ijecc/2024/v14i44126
Aim: This study was conducted to model the relationship between discrete dependent variable (yellow stem borer population) and continuous weather variables. Data Description: The yellow stem borer (YSB) population and standard meteorological week (SMW) wise weather variables (tem...
Open access
Research Article10.9734/ijecc/2022/v12i111410