Data on Simulating the Growth and Yields of Brachiaria Brizantha Using the CROPGRO-Perennial Forage Model Under Present and Future Climate Conditions in Subhumid Environments of Ethiopia

This research is based on the premise that by adjusting and evaluating the CROPGRO-PFM model and considering current and future climate scenarios, it is possible to predict the growth and yield of Brachiaria brizantha in Ethiopia's subhumid environments. Data collected from two agricultural research centers over three years were utilized to calibrate the DSSAT CROPGRO-Perennial Forage model for Brachiaria cv. brizantha. The study examined the potential impacts of current and forthcoming climate conditions on biomass accumulation, specifically focusing on top or shoot, herbage, leaf, and stem biomass. It involved the analysis of climate data, experimental data on biomass growth, and parameters influencing biomass partitioning, dormancy, and senescence. This assessment provides valuable insights for agricultural advisors, policymakers, researchers, and modelers involved in forage crop management and planning. Moreover, the research aims to address knowledge gaps regarding how Brachiaria grass responds to various environmental conditions, particularly climate change, to enhance livestock feed security and promote sustainable agricultural practices in Ethiopia.

本研究的核心前提为：通过对CROPGRO-PFM模型进行调试与评估，并结合当前及未来气候情景，可预测埃塞俄比亚亚湿润生境中臂形草（Brachiaria brizantha）的生长与产量。本研究依托从两家农业研究中心采集的三年期数据，对适配臂形草品种（Brachiaria cv. brizantha）的DSSAT CROPGRO-多年生饲草模型开展校准工作。本研究探究了当前与未来气候条件对生物量积累的潜在影响，重点关注地上部生物量、饲草生物量、叶片生物量及茎秆生物量。研究涵盖了气候数据、生物量生长实验数据，以及影响生物量分配、休眠与衰老的相关参数的分析工作。该评估可为从事饲草作物管理与规划的农业顾问、政策制定者、科研人员及模型开发者提供极具价值的参考依据。此外，本研究旨在填补关于臂形草对各类环境条件（尤其气候变化）响应的认知空白，以提升埃塞俄比亚的牲畜饲料保障水平，推动当地可持续农业实践的发展。