<b>A global dataset on mungbean for managing seed yield and quality</b>
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https://figshare.com/articles/dataset/_b_A_global_dataset_on_mungbean_for_managing_seed_yield_and_quality_b_/27111106
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<b>Mungbean, a protein- and nutrient-rich legume widely grown in Asian countries, is now expanding to other regions. With increasing global demand for nutritious foods and more sustainable agricultural practices, mungbean represents a valuable opportunity to diversify food systems and improve global nutrition. However, management practices to optimize seed yield and quality (including seed oil and protein concentration) remain largely unexplored due to the recent introduction of this crop in many parts of the world. This study aims to create a global open dataset of key crop management practices and their impact on seed</b><b> </b><b>yield parameters and quality.</b><b> </b><b>This global dataset included 227 studies published between 1984 and 2023 period, comprising 2,154 observations. The dataset focuses on key agronomic practices, including fertilization, irrigation, row spacing, seeding rate, and planting date. By providing comprehensive insights into mungbean cultivation, this open-access dataset enables researchers and agronomists to optimize management practices, identify research gaps, and enhance seed yield and nutritional quality. It serves as a valuable tool for improving food security and sustainable agriculture in developing regions.</b>
绿豆(Mungbean)是一种富含蛋白质与营养成分的豆科作物,此前广泛种植于亚洲各国,如今其种植范围正逐步拓展至其他地区。随着全球对营养食品与更可持续农业实践的需求不断增长,绿豆为优化粮食系统多样性、改善全球营养状况提供了重要机遇。然而,由于该作物在全球多数地区的引种时间较短,目前针对其种子产量与品质(包括种子含油量与蛋白质含量)的优化管理措施仍鲜有研究。本研究旨在构建一套全球开放数据集,收录核心作物管理措施及其对种子产量参数与品质的影响。
本全球数据集涵盖1984年至2023年期间发表的227项研究,总计包含2154条观测数据。该数据集聚焦核心农艺措施,涵盖施肥、灌溉、行距、播种量与播种日期等内容。本开放获取数据集可为绿豆种植提供全面的研究视角,助力科研人员与农学家优化管理措施、明确研究空白,并提升种子产量与营养品质。该数据集可作为改善发展中地区粮食安全与可持续农业的重要工具。
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figshare创建时间:
2024-09-26
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个全球性的开放数据集,专注于绿豆的种子产量和质量管理,包含1984年至2023年间的227项研究和2,154个观察值。它详细记录了施肥、灌溉、行距等关键农艺实践,旨在帮助研究人员和农艺师优化种植策略,提高绿豆的产量和营养品质,从而支持全球粮食安全和可持续农业发展。
以上内容由遇见数据集搜集并总结生成



