作物系统生物学是应用作物科学和基础植物生物学的桥梁

Xinyou Yin, P. Struik
{"title":"作物系统生物学是应用作物科学和基础植物生物学的桥梁","authors":"Xinyou Yin, P. Struik","doi":"10.1109/PMA.2012.6524806","DOIUrl":null,"url":null,"abstract":"Plant biologists, agronomists and breeders alike have been constantly facing challenges in narrowing genotype-phenotype gaps. Plant systems biology, as first recognized, seems to target those phenotypes at molecular, sub-cellular, or cellular levels. To emphasize the importance of bridging this gap for understanding and directionally modifying phenotypes relevant to the real-world challenges for agriculture, the concept `crop systems biology' seems more appropriate. This new concept acknowledges the complementarity of the roles of modern plant biology, traditional crop physiology and advanced crop modelling in improving yield and resource use efficiencies of major crops. As a first step, biochemical modules of photosynthesis and molecular marker-based quantitative trait locus information were incorporated into existing crop models. These case studies underline that current modelling shows promise in studying complex crop traits. For further progress, crop models should be upgraded based on understandings of complicated phenomena at lower organizational levels. We expect that this crop systems biology approach will ultimately be instrumental in realizing the expected roles of in silico modelling in narrowing genotype-crop phenotype gaps, and in understanding genotype-by-environment interactions at crop level.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Crop systems biology as an avenue to bridge applied crop science and fundamental plant biology\",\"authors\":\"Xinyou Yin, P. Struik\",\"doi\":\"10.1109/PMA.2012.6524806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Plant biologists, agronomists and breeders alike have been constantly facing challenges in narrowing genotype-phenotype gaps. Plant systems biology, as first recognized, seems to target those phenotypes at molecular, sub-cellular, or cellular levels. To emphasize the importance of bridging this gap for understanding and directionally modifying phenotypes relevant to the real-world challenges for agriculture, the concept `crop systems biology' seems more appropriate. This new concept acknowledges the complementarity of the roles of modern plant biology, traditional crop physiology and advanced crop modelling in improving yield and resource use efficiencies of major crops. As a first step, biochemical modules of photosynthesis and molecular marker-based quantitative trait locus information were incorporated into existing crop models. These case studies underline that current modelling shows promise in studying complex crop traits. For further progress, crop models should be upgraded based on understandings of complicated phenomena at lower organizational levels. We expect that this crop systems biology approach will ultimately be instrumental in realizing the expected roles of in silico modelling in narrowing genotype-crop phenotype gaps, and in understanding genotype-by-environment interactions at crop level.\",\"PeriodicalId\":117786,\"journal\":{\"name\":\"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMA.2012.6524806\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMA.2012.6524806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

植物生物学家、农学家和育种家都一直面临着缩小基因型-表型差距的挑战。植物系统生物学,作为第一次认识到,似乎针对这些表型在分子,亚细胞,或细胞水平。为了强调弥合这一差距对于理解和定向修改与现实世界农业挑战相关的表型的重要性,“作物系统生物学”这个概念似乎更合适。这一新概念承认现代植物生物学、传统作物生理学和先进作物模型在提高主要作物产量和资源利用效率方面的互补性。首先,将光合作用生化模块和基于分子标记的数量性状位点信息整合到现有作物模型中。这些案例研究强调,目前的模型在研究复杂作物性状方面显示出前景。为了取得进一步的进展,作物模型应该基于对较低组织层次复杂现象的理解进行升级。我们期望这种作物系统生物学方法最终将有助于实现计算机模拟在缩小基因型-作物表型差距方面的预期作用,并在作物水平上理解基因型与环境的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop systems biology as an avenue to bridge applied crop science and fundamental plant biology
Plant biologists, agronomists and breeders alike have been constantly facing challenges in narrowing genotype-phenotype gaps. Plant systems biology, as first recognized, seems to target those phenotypes at molecular, sub-cellular, or cellular levels. To emphasize the importance of bridging this gap for understanding and directionally modifying phenotypes relevant to the real-world challenges for agriculture, the concept `crop systems biology' seems more appropriate. This new concept acknowledges the complementarity of the roles of modern plant biology, traditional crop physiology and advanced crop modelling in improving yield and resource use efficiencies of major crops. As a first step, biochemical modules of photosynthesis and molecular marker-based quantitative trait locus information were incorporated into existing crop models. These case studies underline that current modelling shows promise in studying complex crop traits. For further progress, crop models should be upgraded based on understandings of complicated phenomena at lower organizational levels. We expect that this crop systems biology approach will ultimately be instrumental in realizing the expected roles of in silico modelling in narrowing genotype-crop phenotype gaps, and in understanding genotype-by-environment interactions at crop level.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信