{"created":"2023-05-15T13:37:43.217662+00:00","id":1398,"links":{},"metadata":{"_buckets":{"deposit":"6ee22e90-f938-4bd5-906a-9318c0b0b1d2"},"_deposit":{"created_by":12,"id":"1398","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"1398"},"status":"published"},"_oai":{"id":"oai:repository.naro.go.jp:00001398","sets":["87:608:609:125:157"]},"author_link":["5380","5367","5381","5452"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-03-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"101","bibliographicPageStart":"95","bibliographicVolumeNumber":"193","bibliographic_titles":[{"bibliographic_title":"北海道農業研究センター研究報告"},{"bibliographic_title":"Research BUlletin of the NARO Hokkaido Agricultural Research Center","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study aims to determine the appropriate order of Legendre polynomial (LP) for a three-parity random regression (RR) model using the Japanese Holstein production data. The goodness of fit of the RR models with second-, third-, fourth-, and fifth-order LP for the fixed and random effects was evaluated based on five statistical criteria : the three residual variances of the first three parities, the log likelihood function (-2logL), and Akaike's information criterion (AIC). A model that produces the smallest AIC indicates the best fit to the data. The percentage of reduction in residual variances with increasing order of LP was greater for the 2nd and 3rd parity than for the 1st parity, suggesting that the 1st lactation milk is more robust to the order of LP than the 2nd or the 3rd lactation milk because the first lactation curve is more persistent than the 2nd and 3rd lactation curves. All five statistical criteria decrease with increasing order of LP for the additive genetic and permanent environmental effects, suggesting that the higher the order of LP fitted for RR coefficients, the more accurate the RR model is. However, the rate of decrease for the five statistical criteria (as measured by the percentage of reduction) decreases as the order of LP goes beyond 4. When the order of LP for the fixed regression coefficients increases from 2 to 4, there are little changes in the five statistical criteria, indicating that the fitting of a RR model with a second-order LP for the fixed regression coefficients is justified. Based on the results of this study, it is advisable to fit a RR model with a fourth-order LP for the random effects and a second-order LP for the fixed effect in genetic evaluation of the milk EBV of the first three parities.\n","subitem_description_type":"Abstract"},{"subitem_description":"我が国のホルスタイン集団の1, 2, 3産次の変量回帰検定日アニマルモデルにおける多項式の次数を判定するために、モデルの当てはまりの尺度として、1, 2, 3産の残差分散、対数尤度（-2logl）と赤池の情報基準（AIC）を用いた。モデル式における変量回帰係数である相加的遺伝効果および恒久的環境効果と、母数効果係数の回帰次数を2, 3, 4および5次で比較した。次数が多くなるにつれ、残差分散は小さくなるが、その傾向は2および3産では大きいが初産では次数が増加しても残差分散の減少は大きくなかった。これは、初産では乳期に対する検定日記録の推移が極めて平準化しており、ピークからの泌乳持続性が2, 3産次に比べて高いことによる。変量回帰係数である相加的遺伝効果、恒久的環境効果の次数が2, 3, 4, 5次と大きくなるにつれて、1, 2, 3産の残差分散、対数尤度（-2logL）と赤池の情報基準（AIC）のいずれも減少した。対数尤度と赤池の情報基準は、小さいほど当てはまりがよいことを示しており、次数が大きいほど、変量回帰モデルの当てはまりがよくなり、モデルの精度が高まることを示した。しかし、1, 2, 3産の残差分散、対数尤度と赤池の情報基準値の多項式次数の増加に伴う減少の程度｢（i産次の基準値－i+1産次の基準値）／i産次の基準値｣は、2次から3次, 3次から4次は大きいが4次から5次になるにつれ減少の程度は小さくなり、コンピュ－タ－の容量や計算時間からすれば多項式の次数は4次が妥当と思われた。なお、変量回帰の相加的遺伝効果や恒久的環境効果以外にモデル式において、乳期に伴う乳量の推移を母数効果の回帰式で2, 3, 4と5次の次数間で比べたが、1, 2, 3産の残差分散、対数尤度と赤池の情報基準に大きな差はなく、次数2次でも妥当と思われた。以上より、変量回帰検定日アニマルモデルでは、母数回帰係数効果の回帰式の次数は2次、変量回帰係数の相加的遺伝効果や恒久的環境効果の次数は4次が望ましい。\n","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24514/00001363","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・食品産業技術総合研究機構 北海道農業研究センター"}]},"item_10002_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.24514/00001363","subitem_relation_type_select":"DOI"}}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1347-8117","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":"富樫, 研治"},{"creatorName":"トガシ, ケンジ","creatorNameLang":"ja-Kana"},{"creatorName":"TOGASHI, Kenji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"LIN, C.Y."},{"creatorName":"LIN, C.Y.","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"萩谷, 功一"},{"creatorName":"ハギヤ, コウイチ","creatorNameLang":"ja-Kana"},{"creatorName":"HAGIYA, Koichi","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"仲西, 孝敏"},{"creatorName":"ナカニシ, タカトシ","creatorNameLang":"ja-Kana"},{"creatorName":"NAKANISHI, Takatoshi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-03-12"}],"displaytype":"detail","filename":"harc_report_No193p97-101p.pdf","filesize":[{"value":"1.9 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"harc_report_No193p97-101p.pdf","url":"https://repository.naro.go.jp/record/1398/files/harc_report_No193p97-101p.pdf"},"version_id":"ad24d6fa-65e4-46b9-8c82-94aacd39ac37"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"random regression","subitem_subject_scheme":"Other"},{"subitem_subject":"Legendre polynomials","subitem_subject_scheme":"Other"},{"subitem_subject":"multiple lactations","subitem_subject_scheme":"Other"},{"subitem_subject":"random regression","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Legendre polynomials","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multiple lactations","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":"1, 2, 3産次の変量回帰検定日アニマルモデルにおける多項式次数の判定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"1, 2, 3産次の変量回帰検定日アニマルモデルにおける多項式次数の判定"},{"subitem_title":"Running head : LEGENDRE POLYNOMIALS FOR MULTIPLE PARITIES Determining the Order of Legendre Polynomials for Multi-parity Random Regression Test-day Animal Model","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"12","path":["157"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-03-22"},"publish_date":"2019-03-22","publish_status":"0","recid":"1398","relation_version_is_last":true,"title":["1, 2, 3産次の変量回帰検定日アニマルモデルにおける多項式次数の判定"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2023-05-15T16:35:18.150295+00:00"}