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Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model

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Published in:Agronomy for Sustainable Development
Format: Online Article RSS Article
Published: 2026
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container_title Agronomy for Sustainable Development
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:36926
institution FRELIP
journal_source_facet Agronomy for Sustainable Development
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
— — — — — Environmental Studies
Environmental Management
Environmental Sciences
sub_discipline_display Environmental Management
sub_discipline_facet Environmental Management
subject_display — — — — — Environmental Studies
Environmental Management
Environmental Sciences
— — — — — Environmental Studies
Environmental Management
Environmental Sciences
subject_facet — — — — — Environmental Studies
Environmental Management
Environmental Sciences
title Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_auth Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_full Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_fullStr Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_full_unstemmed Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_short Clarifying factors involved in historical soybean yield suppression in Japan using national statistics and a crop model
title_sort clarifying factors involved in historical soybean yield suppression in japan using national statistics and a crop model
topic — — — — — Environmental Studies
Environmental Management
Environmental Sciences
url https://link.springer.com/article/10.1007/s13593-025-01078-3