Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments
Author:
Publisher
Pleiades Publishing Ltd
Subject
Genetics
Link
http://link.springer.com/content/pdf/10.1134/S1022795416070024.pdf
Reference133 articles.
1. Long, S.P. and Ort, D.R., More than taking the heat: crops and global change, Curr. Opin. Plant Biol., 2010, vol. 13, no. 3, pp. 240–247. doi 10.1016/jpbi.2010. 04.008
2. White, J.W., Andrade-Sanchez, P., Gorea, M.A., et al., Field-based phenomics for plant genetics research, Field Crops Res., 2012, vol. 133, pp. 101–112. doi 10.1016/jfcr.2012.04.003
3. Cobb, J.N., DeClerck, G., Greenberg, A., et al., Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement, Theor. Appl. Genet., 2013, vol. 126, no. 4, pp. 867–887. doi 10.1007/s00122-013-2066-0
4. Kearsey, M.J. and Farquhar, A.G.L., QTL analysis in plants; where are we now?, Heredity, 1998, vol. 80, no. 2, pp. 137–142. doi 10.1046/j.1365-2540.1998. 00500x
5. Würschum, T., Mapping QTL for agronomic traits in breeding populations, Theor. Appl. Genet., 2012, vol. 125, no. 2, pp. 201–210. doi 10.1007/s00122-012-1887-6
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example;Vavilov Journal of Genetics and Breeding;2024-07-11
2. MIPDB: A maize image-phenotype database with multi-angle and multi-time characteristics;2024-04-26
3. Phenotyping of Potato Plants Using Morphological and Physiological Tools;Plants;2024-02-26
4. Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods;Vavilov Journal of Genetics and Breeding;2023-12-11
5. Identification of Promising Genotypes of Chestnut (Castanea sativa Mill.) Based on Phenotypic and Pomological Characteristics Using Multivariate Analysis;Erwerbs-Obstbau;2023-06-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3