水稻病害研究議題與研究人才合著連結

Abstract

在氣候變遷加劇與極端氣候事件頻繁發生的背景下，植物病害的發生型態與防治難度日益提升，對全球糧食安全與農業永續發展造成重大挑戰。水稻（Oryza sativa L.）作為全球重要的糧食作物之一，其病害研究不僅攸關糧食供應穩定，亦反映農業科學在病原防治、分子生物技術與跨領域整合上的發展趨勢。本研究結合資訊計量分析與方法，探討近二十年水稻病害研究中，研究議題之連結特徵、研究人才之合著關係，以及兩者之間的跨層交互影響。自Web of Science資料庫為資料來源，採用指數隨機圖模型進行多層次網絡分析，研究結果顯示，水稻病害研究議題共現網絡呈現顯著的非隨機性與核心—邊陲結構，其中以「稻熱病」、「抗病基因鑑定與圖譜建構」及「基因表現與轉殖研究」構成長期研究核心，並高度整合分子植物病理與遺傳研究取向；而研究人才合著網絡同樣呈現核心—邊陲結構，少數高產出研究人才主導高強度且穩定的合著關係，其中，研究議題相似性為促進穩定合著之關鍵因素。相較之下，「抗病基因鑑定與圖譜建構」與「基因表現與轉殖研究」之研究議題於文獻層級雖具高度共現，但未必能直接轉化為研究人才層級的實際合著；研究人才實際形成穩定合著關係者，多集中於方法與研究流程具高度連續性的研究議題組合，如「稻熱病」與「抗病基因鑑定與圖譜建構」，或是「病毒性病害」與「基因表現與轉殖研究」。因此，本研究結果可作為未來學術資源配置、研究議題規劃及跨研究議題合著模式之實證依據。

Against the backdrop of intensifying climate change and the increasing frequency of extreme weather events, the occurrence patterns and control difficulties of plant diseases are becoming more complex, posing significant challenges to global food security and sustainable agricultural development. As one of the world’s most important food crops, research on rice (Oryza sativa L.) diseases is not only crucial for maintaining food supply stability but also reflects broader development trends in agricultural science, particularly in pathogen control, molecular biotechnology, and interdisciplinary integration. This study combines informatics analysis methods to explore the interconnected characteristics of research topics, co-authorship relationships among researchers, and the cross-level interactions between these two dimensions in rice disease research over the past two decades. Using data from the Web of Science database and employing an exponential random graph model for multi-level network analysis, the study reveals that the co-occurrence network of rice disease research topics exhibits significant non-randomness and a core–periphery structure. “rice blast,” “identification and mapping of disease resistance genes,” and “gene expression and transgenic research” constitute long-term research cores, highly integrating molecular plant pathology and genetic research orientations. Similarly, the co-authorship network of researchers also demonstrates a core–periphery structure, in which a small number of highly productive researchers dominate strong and stable co-authorship relationships. Research topic similarity is a key factor in promoting stable co-authorship. In contrast, although the research topics of “identification and mapping of disease resistance genes” and “gene expression and transgenic research” show high co-occurrence at the literature level, this does not necessarily translate directly into actual co-authorship at the researcher level. Researchers who form stable co-authorship relationships tend to focus on combinations of research topics with highly continuous methods and research processes, such as “rice blast” and “identification and mapping of disease resistance genes,”or “viral diseases” and “gene expression and transgenic research.” Therefore, the findings of this study provide empirical evidence to inform future academic resource allocation, research topic planning, and the development of cross-topic co-authorship models.