{"created":"2023-05-15T13:37:50.803876+00:00","id":1558,"links":{},"metadata":{"_buckets":{"deposit":"26154fa5-e60d-4f6e-a150-0f7023837878"},"_deposit":{"created_by":12,"id":"1558","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"1558"},"status":"published"},"_oai":{"id":"oai:repository.naro.go.jp:00001558","sets":["87:599:601:127:199"]},"author_link":["5674"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004-08-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"58","bibliographicPageStart":"23","bibliographicVolumeNumber":"5","bibliographic_titles":[{"bibliographic_title":"中央農業総合研究センター研究報告"},{"bibliographic_title":"Bulletin of the National Agricultural Research Center","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Predicting weed seedling emergence is essential in integrated weed management. We developed ways to predict quantitative seedling emergence and simulation model for seasonal emergence patterns of several weed species. We must be able to predict, reasonably accurately, species composition and seedling density from seed reserves in soil sampled just after cultivation. Theoretical calculations indicate it is necessary to collect 30 or 15 soil cores, each of 5.1 cm in diameter by 5 cm deep （100 ml） or 8 cm in diameter by 4 cm deep （200 ml）, in each field. Weed seeds were separated from soil using a proprietary apparatus based on float-selection : it was operated 5 to 10 minutes per soil sample. Based on the core size of soil samples, viable seed numbers and emergence depth of species, we derived the following formula to predict potential numbers of seedling emergence. y=（1/P）（ΣAi/（F/G））（1±U）x where y is the annual potential number of emerged seedlings of a given weed species （plants m^-2） after cultivation, x is the viable seed numbers of a given weed species in a soil cores of P m^2 surface area and H cm depth, Ai is the average emergence of a species in the ith layer of soil divided into G cm layers from the soil surface, and U is the reliability range, i.e., usually 0.50. In general, we gained good agreement between predictions by the above formula and observations in the annual potential number of emerged seedlings of 8 weed species. Independently of the above methods, a model using air temperature and soil moisture was developed to simulate the seasonal emergence pattern of 6 weed species based on the following equations: Y=1/（1+k・exp（-λ・lnX）） X=Σxi X=a（TM-T0）・b（WS-W0） If TM＞=25 then TM=25, If WS＞=65 then WS=65, If TM＜T0 or WS＜W0 then x=0 where Y is the accumulated emergence （0＜Y＜1）, X is the daily accumulated values of emergence equivalent （x）, i is the ith day after cultivation, TM is the daily mean temperature （℃）, WS is the daily soil moisture content （water % / dry soil）, and To, Wo, a, b, λ and k are parameters. The value of parameters was determined by the Simplex Method based on data on field experiments in which 14 different cultivated dates were selected for 4 years. Good fitness was gained between simulations and observations in seasonal emergence patterns of 6 weed species for different cultivated dates. We combined these methods and the model to predict the quantitative emergence of a given weed species at an optional point in time after cultivation. Based on these, we will construct integrated weed management.\n","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24514/00001516","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"独立行政法人 農業・生物系特定産業技術研究機構 中央農業総合研究センター"}]},"item_10002_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.24514/00001516","subitem_relation_type_select":"DOI"}}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1881-6738","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高柳, 繁"},{"creatorName":"タカヤナギ, シゲル","creatorNameLang":"ja-Kana"},{"creatorName":"TAKAYANAGI, Shigeru","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"5674","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-03-16"}],"displaytype":"detail","filename":"narc_report_No5p23-58p.pdf","filesize":[{"value":"263.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"narc_report_No5p23-58p.pdf","url":"https://repository.naro.go.jp/record/1558/files/narc_report_No5p23-58p.pdf"},"version_id":"b265d916-c607-4298-bfb3-fe0769ffce67"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"関東黒ボク土地帯における主要一年生畑夏雑草の定量的発生予測","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"関東黒ボク土地帯における主要一年生畑夏雑草の定量的発生予測"},{"subitem_title":"Quantitatively Predicting Seedling Emergence in Summer Annual Upland Weeds in Kanto Region Kuroboku Soil","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"12","path":["199"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-03-22"},"publish_date":"2019-03-22","publish_status":"0","recid":"1558","relation_version_is_last":true,"title":["関東黒ボク土地帯における主要一年生畑夏雑草の定量的発生予測"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2023-05-15T16:34:58.005026+00:00"}