{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T23:24:46Z","timestamp":1776900286078,"version":"3.51.2"},"reference-count":24,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Cooperative Research Program for Agriculture Science and Technology Development","award":["Project No. PJ01311301"],"award-info":[{"award-number":["Project No. PJ01311301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Data phenotyping traits on soybean seeds such as shape and color has been obscure because it is difficult to define them clearly. Further, it takes too much time and effort to have sufficient number of samplings especially length and width. These difficulties prevented seed morphology to be incorporated into efficient breeding program. Here, we propose methods for an image acquisition, a data processing, and analysis for the morphology and color of soybean seeds by high-throughput method using images analysis. As results, quantitative values for colors and various types of morphological traits could be screened to create a standard for subsequent evaluation of the genotype. Phenotyping method in the current study could define the morphology and color of soybean seeds in highly accurate and reliable manner. Further, this method enables the measurement and analysis of large amounts of plant seed phenotype data in a short time, which was not possible before. Fast and precise phenotype data obtained here may facilitate Genome Wide Association Study for the gene function analysis as well as for development of the elite varieties having desirable seed traits.<\/jats:p>","DOI":"10.3390\/s20010248","type":"journal-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T04:43:03Z","timestamp":1578026583000},"page":"248","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["High Throughput Phenotyping for Various Traits on Soybean Seeds Using Image Analysis"],"prefix":"10.3390","volume":"20","author":[{"given":"JeongHo","family":"BAEK","sequence":"first","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eungyeong","family":"Lee","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nyunhee","family":"Kim","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song Lim","family":"Kim","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inchan","family":"Choi","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyeonso","family":"Ji","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3121-7600","authenticated-orcid":false,"given":"Yong Suk","family":"Chung","sequence":"additional","affiliation":[{"name":"Faculty of Bioscience and Industry, College of Applied Life Science, SARI, Jeju National University, Jeju 63243, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Man-Soo","family":"Choi","sequence":"additional","affiliation":[{"name":"National Institute of Crop Sciences, Rural Development Administration (RDA), Wanju-gun 55365, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jung-Kyung","family":"Moon","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyung-Hwan","family":"Kim","sequence":"additional","affiliation":[{"name":"National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/1746-4811-7-3","article-title":"Rapid analysis of seed size in arabidopsis for mutant and QTL discovery","volume":"7","author":"Herridge","year":"2011","journal-title":"Plant Methods"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/1746-4811-10-23","article-title":"Grainscan: A low cost, fast method for grain size and colour measurements","volume":"10","author":"Whan","year":"2014","journal-title":"Plant Methods"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/0260-8774(92)90052-8","article-title":"Three-dimensional image analysis of the shape of soybean seed","volume":"15","author":"Sakai","year":"1992","journal-title":"J. Food Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.compag.2010.11.003","article-title":"Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean","volume":"75","author":"Vollmann","year":"2011","journal-title":"Comput. Electron. Agric."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"65","DOI":"10.13031\/2013.12724","article-title":"Identifying damaged soybeans by color image analysis","volume":"19","author":"Shatadal","year":"2003","journal-title":"Appl. Eng. Agric."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1094\/PDIS.1999.83.4.320","article-title":"Color classifier for symptomatic soybean seeds using image processing","volume":"83","author":"Ahmad","year":"1999","journal-title":"Plant Dis."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"110","DOI":"10.15258\/sst.2009.37.1.13","article-title":"An assessment of mechanical and stink bug damage in soybean seed using X-ray analysis test","volume":"37","author":"Pinto","year":"2009","journal-title":"Seed Sci. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Normanly, J. (2012). High-Throughput Phenotyping in Plants: Methods and Protocols, Humana Press.","DOI":"10.1007\/978-1-61779-995-2"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.compag.2016.08.021","article-title":"A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding","volume":"128","author":"Bai","year":"2016","journal-title":"Comput. Electron. Agric."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1104\/pp.112.205120","article-title":"Smartgrain: High-throughput phenotyping software for measuring seed shape through image analysis","volume":"160","author":"Tanabata","year":"2012","journal-title":"Plant Physiol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1111\/tpj.12755","article-title":"Development, validation and genetic analysis of a large soybean snp genotyping array","volume":"81","author":"Lee","year":"2015","journal-title":"Plant J."},{"key":"ref_12","first-page":"155","article-title":"ImageJ user guide","volume":"1","author":"Ferreira","year":"2012","journal-title":"ImageJ\/Fiji"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5429","DOI":"10.1093\/jxb\/erv345","article-title":"Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap","volume":"66","author":"Svensgaard","year":"2015","journal-title":"J. Exp. Bot."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1590\/S1984-70332012000200006","article-title":"Chemical composition as related to seed color of common bean","volume":"12","author":"Silva","year":"2012","journal-title":"Crop Breed. Appl. Biotechnol."},{"key":"ref_15","first-page":"363","article-title":"Identification and Detection of Seed Borne Diseases of Soybean Using Image Processing-A Survey","volume":"14","author":"Kinnikar","year":"2015","journal-title":"Int. J. Emerg. Technol. Comput. Sci. Electron."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1093\/jhered\/esq078","article-title":"Genetic analysis of genes controlling natural variation of seed coat and flower colors in soybean","volume":"101","author":"Yang","year":"2010","journal-title":"J. Hered."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.talanta.2015.02.043","article-title":"Digital image-based classification of biodiesel","volume":"139","author":"Costa","year":"2015","journal-title":"Talanta"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"455","DOI":"10.15258\/sst.2010.38.2.19","article-title":"Statistical seed classifiers of 10 plant families representative of the mediterranean vascular flora","volume":"38","author":"Grillo","year":"2010","journal-title":"Seed Sci. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1080\/14772000.2015.1046968","article-title":"Seed image analysis provides evidence of taxonomic differentiation within the Medicago L. Sect. Dendrotelis (Fabaceae)","volume":"13","author":"Bianco","year":"2015","journal-title":"Syst. Biodivers."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1007\/s11032-012-9833-5","article-title":"Association mapping for seed size and shape traits in soybean cultivars","volume":"31","author":"Niu","year":"2013","journal-title":"Mol. Breed."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1007\/s00122-006-0392-1","article-title":"Genetic mapping of seed shape in three populations of recombinant inbred lines of soybean (Glycine max L. Merr.)","volume":"113","author":"Salas","year":"2006","journal-title":"Theor. Appl. Genet."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1038\/nmeth.2089","article-title":"NIH Image to ImageJ: 25 years of image analysis","volume":"9","author":"Schneider","year":"2012","journal-title":"Nat. Methods"},{"key":"ref_23","first-page":"1022","article-title":"Characterisation of italian bean landraces (\u2018Phaseolus vulgaris\u2019 L.) using seed image analysis and texture descriptors","volume":"9","author":"Bianco","year":"2015","journal-title":"Aust. J. Crop Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5691825","DOI":"10.1155\/2016\/5691825","article-title":"Updated methods for seed shape analysis","volume":"2016","author":"Cervantes","year":"2016","journal-title":"Scientifica"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/1\/248\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:18:37Z","timestamp":1760361517000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/1\/248"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,1]]},"references-count":24,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,1]]}},"alternative-id":["s20010248"],"URL":"https:\/\/doi.org\/10.3390\/s20010248","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,1]]}}}