The aim was to evaluate the genetic association between sexual precocity and productive performance in Nellore cattle. Records of standardized body weights at 120 (W120), 210 (W210), 365 (W365), and 450 (W450) days of age, Longissimus Muscle Area (LMA), backfat thickness (BFT), and age at first calving (AFC) were used. The mixed linear model included the fixed effects of contemporary groups (composed of herd, year, and season...

Maize ( Zea mays L.) is Uganda's most widely grown staple crop, yet productivity remains below potential due to nitrogen (N) deficiency and rainfall variability. Crop models are widely used to analyse these constraints but are typically calibrated at few sites, raising concerns about their spatial transferability. This study evaluated whether a single well‐calibrated point‐based CERES‐Maize model within the Decision Support Sy...

This study evaluated genotype × environment interactions (G×E) in Nellore cattle for growth, reproductive, and carcass traits using reaction norm models. We analyzed the records of body weight and scrotal circumference at 12 and 18 months. (W365, W450, SC365, SC450), as well as loin eye area (LEA) and subcutaneous fat thickness (SFT), from herds across different Brazilian states were analyzed. A hierarchical one-step reaction...

The study aimed to (i) identify breakpoints in rainfall patterns and (ii) evaluate the out‐of‐sample prediction accuracy of various machine learning models. Monthly rainfall data from 1901 to 2017 were obtained from the Government of India database. The methodology was based on SPI, Bayesian breakpoint detection and application of various machine learning models. The Diebold–Mariano test was also used to compare the performanc...