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.

搜集汇总

背景与挑战

背景概述

该数据集是一个大豆物候数据集，旨在解决因遗传改良和区域气候差异导致的大豆生长阶段变化问题。它包含2017-2018年在美国五个州的11个地点-年份收集的田间实验数据，涵盖成熟期组0到7.5的商业品种，并使用Fehr和Caviness（1977）方法评估生长阶段、节点数、产量和成分等变量，为科学研究、决策支持（如投入时机、灌溉管理）提供资源。