Non-destructive shoot biomass evaluation using a handheld NDVI sensor for field-grown staking Yam (Dioscorea rotundata Poir.)

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationJapan International Research Center for Agricultural Sciencesen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.crpRoots, Tubers and Bananas
cg.coverage.countryNigeria
cg.coverage.iso3166-alpha2NG
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.creator.identifierRyo Matsumoto: 0000-0002-0106-6728
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1080/1343943x.2018.1540278en
cg.isijournalISI Journalen
cg.issn1343-943Xen
cg.issue2en
cg.journalPlant Production Scienceen
cg.reviewStatusPeer Reviewen
cg.subject.iitaYAMen
cg.volume22en
dc.contributor.authorIseki, K.en
dc.contributor.authorMatsumoto, R.en
dc.date.accessioned2019-09-04T15:29:09Zen
dc.date.available2019-09-04T15:29:09Zen
dc.identifier.urihttps://hdl.handle.net/10568/103494
dc.titleNon-destructive shoot biomass evaluation using a handheld NDVI sensor for field-grown staking Yam (Dioscorea rotundata Poir.)en
dcterms.abstractCrop phenotyping is a key process used to accelerate breeding programs in the era of high-throughput genotyping. However, most rapid phenotyping methods developed to date have focused on major cereals or legumes, and their application to minor crops has been delayed. In this study, we developed a non-destructive method to predict shoot biomass by measuring spectral reflectance in staking yam (Dioscorea rotundata). The normalized difference vegetation index (NDVI) was evaluated using a handheld sensor that was vertically scanned from the top to the bottom of a plant alongside the stake. A linear regression model was constructed to predict shoot biomass through Bayesian analysis using NDVI as a parameter. The model well predicted the observed values of shoot biomass, irrespective of the growth stage and genotypes. Conversely, the model tended to underestimate the shoot biomass when the actual shoot biomass exceeded 150 g plant−1; this was compensated for when the parameter green area, calculated from plant image, was included in the model. This method reduced the time, cost, effort, and field space needed for shoot biomass evaluation compared with that needed for the sampling method, enabling shoot biomass phenotyping for a large population of plants. A total of 210 cross-populated plants were evaluated, and a correlation analysis was performed between the predicted shoot biomass and tuber yield. In addition to the prediction of tuber yield, this method could also be applied for the evaluation of crop models and stress tolerance, as well as for genetic analyses.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2018-11-20
dcterms.bibliographicCitationIseki, K. & Matsumoto, R. (2018). Non-destructive shoot biomass evaluation using a handheld NDVI sensor for field-grown staking yam (Dioscorea rotundata Poir.). Plant Production Science, 1-10.en
dcterms.extentp. 301-310en
dcterms.issued2019-04-03
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInforma UK Limiteden
dcterms.subjectyamsen
dcterms.subjectdioscorea rotundataen
dcterms.subjectphenotypesen
dcterms.subjectbiomassen
dcterms.subjectnigeriaen
dcterms.typeJournal Article

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