Soybean phenology dataset for determining soybean growth stages

This database compiles soybean phenology data to address significant variations in soybean adaptation and development caused by genetic improvements and regional climatic differences. The dataset includes growth staging information collected from field experiments conducted across 11 location-years in Arkansas, Minnesota, Ohio, Virginia, and Wisconsin (USA) during 2017 and 2018. It incorporates data from commercial soybean varieties spanning maturity groups 0 to 7.5. Growth stages were determined using Fehr and Caviness (1977) approach. This dataset is intended as a resource for the scientific community, students, and stakeholders, providing soybean phenological data to improve predictions and decision-making in areas such as input timing, yield estimation, irrigation management, cultivar selection, and phenotyping., This study examined changes in soybean phenology to determine growth stages, focusing on the influence of genetic improvements and regional climatic differences. The dataset includes data from field experiments conducted across 11 location-years in Arkansas, Minnesota, Ohio, Virginia, and Wisconsin (USA) during 2017 and 2018. The experiments followed a randomized complete block split-plot design with four replications. The commercial soybean varieties planted across these location-years ranged from maturity group 0 to 7.5. This dataset contains soybean phenology data assessed using the Fehr and Caviness (1977) approach. For that, we collected daily (minimum of three times per week) growth staging, plant growth characteristics (e.g., number of nodes), grain yield, and composition., , # Soybean phenology dataset for determining soybean growth stages [https://doi.org/10.5061/dryad.2bvq83c20](https://doi.org/10.5061/dryad.2bvq83c20) ## Description of the data and file structure This dataset contains soybean phenology data assessed using the Fehr and Caviness (1977) approach. For that, we collected daily (minimum of three times per week) growth staging, plant growth characteristics (e.g., number of nodes), grain yield, and composition. ### Files and variables #### File: SeveroSilvaEtal\_Phenology\_Dataset\_Dryad.xlsx **Description:**Â This dataset contains five tabs within a single Excel file: ##### Variables * **readme**: Provides detailed information about the field experiments, including descriptions of the variables measured and analyzed. * **GeneralInformation**: Contains site information, including tillage type, site coordinates, planting and harvest dates, and seeding rate at each location-year. * **PhenologyData**: Includes soybean growth stage data. * **...本数据库汇编了大豆物候学数据，旨在解析遗传改良与区域气候差异所引发的大豆适应性及生长发育显著变异。数据集涵盖2017至2018年间，于美国阿肯色州、明尼苏达州、俄亥俄州、弗吉尼亚州及威斯康星州11个试验点年（location-years）开展的田间试验所采集的生育期信息。其所纳入的商用大豆品种覆盖0至7.5熟期组（maturity groups）。生育期判定采用Fehr与Caviness（1977）提出的方法。本数据集面向科研共同体、学生及利益相关方开放，可为投入物调度、产量预估、灌溉管理、品种选育及表型鉴定等领域的预测与决策优化提供大豆物候学数据支撑。 本研究聚焦遗传改良与区域气候差异的影响，通过解析大豆物候学变化以确定其生育期。数据集包含2017至2018年间，于美国阿肯色州、明尼苏达州、俄亥俄州、弗吉尼亚州及威斯康星州11个试验点年开展的田间试验数据。试验采用随机完全区组裂区设计，设置4次重复。各试验点年种植的商用大豆品种熟期组跨度为0至7.5。本数据集包含采用Fehr与Caviness（1977）方法评估的大豆物候学数据，据此我们采集了每周至少3次的逐日生育期观测、植株生长特性（如节数）、籽粒产量及籽粒组成信息。 # 用于确定大豆生育期的大豆物候学数据集 [https://doi.org/10.5061/dryad.2bvq83c20] ## 数据与文件结构说明 本数据集包含采用Fehr与Caviness（1977）方法评估的大豆物候学数据，据此我们采集了每周至少3次的逐日生育期观测、植株生长特性（如节数）、籽粒产量及籽粒组成信息。 ### 文件与变量 #### 文件：SeveroSilvaEtal_Phenology_Dataset_Dryad.xlsx **说明：** 本单个Excel文件包含5个工作表： ##### 变量说明 * **readme**：详细介绍田间试验情况，包括所测量与分析的变量说明。 * **GeneralInformation**：包含试验点信息，包括各试验点年的耕作方式、试验点坐标、播种与收获日期以及播种密度。 * **PhenologyData**：收录大豆生育期数据。 * **...**