Ontology type: schema:ScholarlyArticle
2021-06-17
AUTHORSGyu-Bin Lee, Hyun-Jin Park, Chung-Gi Cheon, Jang-Gyu Choi, Jin-Hee Seo, Ju-Sung Im, Young-Eun Park, Ji-Hong Cho, Dong Chil Chang
ABSTRACTThe effects of container type on plant growth, yield and production cost of seed potatoes were investigated. Potato cultivars ‘Saebong’, ‘Geumsun’ (early-maturing) and ‘Haryeong’ (mid-maturing) were grown in four types of plant container: small (25 cm × 25 cm × 19 cm, L × W × H), medium (63 cm × 22 cm × 15 cm) and large (53 cm × 37 cm × 19 cm) plastic boxes and a styrofoam bed (100 cm × 52 cm × 31 cm). Shoot growth expressed as plant height was vigorous in the substrate culture system, especially in the styrofoam bed, whereas the roots tended to be longest in the small plastic box. ‘Haryeong’ showed the greatest shoot and tuber growth across plant container types. Tuber number (87.2–104.1 tubers m−2) and tuber weight (7.6–9 kg m−2) were greatest in the large plastic box and in the styrofoam bed. Furthermore, seed tuber (30–250 g) percentage of all tubers produced was high (93–95%), but no significant differences were observed among container types. The incidence of tuber physiological disorders was low (<5%). Considering the cost of the substrate, plant containers and stem cuttings, the production cost was lower for the medium and large plastic boxes, and for the styrofoam bed (20–39% lower), than that for the small plastic box. Therefore, the large plastic box and the styrofoam bed are suggested as ideal plant containers for the production of seed potatoes. More... »
PAGES1-13
http://scigraph.springernature.com/pub.10.1007/s11540-021-09511-2
DOIhttp://dx.doi.org/10.1007/s11540-021-09511-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1138915955
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Agricultural and Veterinary Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0706",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Horticultural Production",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Gyu-Bin",
"id": "sg:person.015264542467.67",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015264542467.67"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Hyun-Jin",
"id": "sg:person.011614644235.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011614644235.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Cheon",
"givenName": "Chung-Gi",
"id": "sg:person.015060665215.23",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015060665215.23"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Choi",
"givenName": "Jang-Gyu",
"id": "sg:person.012000005312.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012000005312.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Seo",
"givenName": "Jin-Hee",
"id": "sg:person.014467162067.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014467162067.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Im",
"givenName": "Ju-Sung",
"id": "sg:person.014263304615.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014263304615.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Young-Eun",
"id": "sg:person.010634231421.42",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010634231421.42"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, 25342, Pyeongchang, South Korea"
],
"type": "Organization"
},
"familyName": "Cho",
"givenName": "Ji-Hong",
"id": "sg:person.0720536156.71",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720536156.71"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Technology Cooperation Bureau, Rural Development Administration, 54875, Jeonju, South Korea",
"id": "http://www.grid.ac/institutes/grid.420186.9",
"name": [
"Technology Cooperation Bureau, Rural Development Administration, 54875, Jeonju, South Korea"
],
"type": "Organization"
},
"familyName": "Chang",
"givenName": "Dong Chil",
"id": "sg:person.014317410465.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014317410465.10"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf02358003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053737620",
"https://doi.org/10.1007/bf02358003"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12230-019-09747-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1123439912",
"https://doi.org/10.1007/s12230-019-09747-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02358019",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010133559",
"https://doi.org/10.1007/bf02358019"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02380587",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038772260",
"https://doi.org/10.1007/bf02380587"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02358162",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017152512",
"https://doi.org/10.1007/bf02358162"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02410099",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027135226",
"https://doi.org/10.1007/bf02410099"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02869609",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030887898",
"https://doi.org/10.1007/bf02869609"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11540-012-9208-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015668455",
"https://doi.org/10.1007/s11540-012-9208-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12230-008-9024-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019696651",
"https://doi.org/10.1007/s12230-008-9024-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12230-016-9510-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040883029",
"https://doi.org/10.1007/s12230-016-9510-z"
],
"type": "CreativeWork"
}
],
"datePublished": "2021-06-17",
"datePublishedReg": "2021-06-17",
"description": "The effects of container type on plant growth, yield and production cost of seed potatoes were investigated. Potato cultivars \u2018Saebong\u2019, \u2018Geumsun\u2019 (early-maturing) and \u2018Haryeong\u2019 (mid-maturing) were grown in four types of plant container: small (25 cm \u00d7 25 cm \u00d7 19 cm, L \u00d7 W \u00d7 H), medium (63 cm \u00d7 22 cm \u00d7 15 cm) and large (53 cm \u00d7 37 cm \u00d7 19 cm) plastic boxes and a styrofoam bed (100 cm \u00d7 52 cm \u00d7 31 cm). Shoot growth expressed as plant height was vigorous in the substrate culture system, especially in the styrofoam bed, whereas the roots tended to be longest in the small plastic box. \u2018Haryeong\u2019 showed the greatest shoot and tuber growth across plant container types. Tuber number (87.2\u2013104.1 tubers m\u22122) and tuber weight (7.6\u20139 kg m\u22122) were greatest in the large plastic box and in the styrofoam bed. Furthermore, seed tuber (30\u2013250 g) percentage of all tubers produced was high (93\u201395%), but no significant differences were observed among container types. The incidence of tuber physiological disorders was low (<5%). Considering the cost of the substrate, plant containers and stem cuttings, the production cost was lower for the medium and large plastic boxes, and for the styrofoam bed (20\u201339% lower), than that for the small plastic box. Therefore, the large plastic box and the styrofoam bed are suggested as ideal plant containers for the production of seed potatoes.",
"genre": "article",
"id": "sg:pub.10.1007/s11540-021-09511-2",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1030476",
"issn": [
"0014-3065",
"1871-4528"
],
"name": "Potato Research",
"publisher": "Springer Nature",
"type": "Periodical"
}
],
"keywords": [
"plant containers",
"seed potatoes",
"plant growth",
"small plastic box",
"shoot growth",
"plant height",
"greater shoot",
"plastic boxes",
"tuber growth",
"tuber number",
"stem cuttings",
"potato growth",
"potato cultivars",
"physiological disorders",
"substrate culture",
"tuber weight",
"culture system",
"potato",
"growth",
"container types",
"shoots",
"Haryeong",
"box",
"cultivars",
"tubers",
"roots",
"yield",
"types",
"substrate",
"production",
"production costs",
"culture",
"cutting",
"effect",
"medium",
"number",
"weight",
"containers",
"differences",
"bed",
"significant differences",
"disorders",
"height",
"percentage",
"system",
"cost",
"incidence",
"Geumsun",
"large plastic box",
"styrofoam bed",
"substrate culture system",
"plant container types",
"seed tuber (30\u2013250 g) percentage",
"tuber (30\u2013250 g) percentage",
"tuber physiological disorders",
"ideal plant containers",
"Seed Potato (Solanum tuberosum L.) Growth"
],
"name": "Effect of Plant Container Type on Seed Potato (Solanum tuberosum L.) Growth and Yield in Substrate Culture",
"pagination": "1-13",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1138915955"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11540-021-09511-2"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11540-021-09511-2",
"https://app.dimensions.ai/details/publication/pub.1138915955"
],
"sdDataset": "articles",
"sdDatePublished": "2022-01-01T18:58",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_875.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11540-021-09511-2"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11540-021-09511-2'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11540-021-09511-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11540-021-09511-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11540-021-09511-2'
This table displays all metadata directly associated to this object as RDF triples.
207 TRIPLES
22 PREDICATES
90 URIs
72 LITERALS
4 BLANK NODES