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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
12/09/2016 |
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Data da última atualização: |
25/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BERTIOLI, D. J.; CANNON, S. B.; FROENICKE, L.; HUANG, G.; FARMER, A. D.; CANNON, E. K. S.; LIU, X.; GAO, D.; CLEVENGER, J.; DASH, S.; REN, L.; MORETZSOHN, M. C.; SHIRASAWA, K.; HUANG, W.; VIDIGAL, B.; ABERNATHY, B.; NIEDERHUTH, C. E.; UMALE, P.; ARAUJO, A. C. G.; KOZIK, A.; KIM, K. do; BUROW, M. D.; VARSHNEY, R. K.; WANG, X.; ZHANG, X.; BARKLEY, N.; GUIMARAES, P. M.; ISOBE, S.; GUO, B.; LIAO, B.; STALKER, H. T.; SCHMITZ, R. J.; SCHEFFLER, B. E.; BERTIOLI, S. C. M. L.; XUN, X.; JACKSON, S. A.; MICHELMORE, R.; OZIAS-AKINS, P. |
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Afiliação: |
DAVID JOHN BERTIOLI, UNB; STEVEN B. CANNON, CORN INSECTS AND CROP GENETICS RESEARCH UNIT; LUTZ FROENICKE, UNIVERSITY OF CALIFORNIA; GUODONG HUANG, BGI-SHENZHEN; ANDREW D. FARMER, NATIONAL CENTER FOR GENOME RESOURCES; ETHALINDA K. S. CANNON, IOWA STATE UNIVERSITY; XIN LIU, BGI-SHENZHEN, SHENZHEN; DONGYING GAO, UNIVERSITY OF GEORGIA; JOSH CLEVENGER, UNIVERSITY OF GEORGIA; SUDHANSU DASH, NATIONAL CENTER FOR GENOME RESOURCES; LONGHUI REN, IOWA STATE UNIVERSITY; MARCIO DE CARVALHO MORETZSOHN, CENARGEN; KENTA SHIRASAWA, KAZUSA DNA RESEARCH INSTITUTE; WEI HUANG, IOWA STATE UNIVERSITY; BRUNA VIDIGAL; BRIAN ABERNATHY, UNIVERSITY OF GEORGIA; CHAD E. NIEDERHUTH, UNIVERSITY OF GEORGIA; POOJA UMALE, NATIONAL CENTER FOR GENOME RESOURCES; ANA CLAUDIA GUERRA DE ARAUJO, CENARGEN; ALEXANDER KOZIK, UNIVERSITY OF CALIFORNIA; KYUNG DO KIM, UNIVERSITY OF GEORGIA; MARK D. BUROW, TEXAS A&M AGRILIFE RESEARCH; RAJEEV K. VARSHNEY, INTERNATIONAL CROPS RESEARCH INSTITUTE FOR THE SEMI-ARID TROPICS (ICRISAT); XINGJUN WANG, SHANDONG ACADEMY OF AGRICULTURAL SCIENCES; XINYOU ZHANG, HENAN ACADEMY OF AGRICULTURAL SCIENCES; NOELLE BARKLEY, PLANT GENETIC RESOURCES CONSERVATION UNIT; PATRICIA MESSEMBERG GUIMARAES, CENARGEN; SACHIKO ISOBE, KAZUSA DNA RESEARCH INSTITUTE; BAOZHU GUO, CROP PROTECTION AND MANAGEMENT RESEARCH UNIT; BOSHOU LIAO, CHINESE ACADEMY OF AGRICULTURAL SCIENCES; H. THOMAS STALKER, NORTH CAROLINA STATE UNIVERSITY; ROBERT J SCHMITZ, UNIVERSITY OF GEORGIA; BRIAN E. SCHEFFLER, MIDDLE SOUTHERN AREA GENOMICS LABORATORY; SORAYA CRISTINA DE M LEAL BERTIOLI, CENARGEN; XU XUN, BGI-SHENZHEN; SCOTT A. JACKSON, UNIVERSITY OF GEORGIA; RICHARD MICHELMORE, UNIVERSITY OF CALIFORNIA; PEGGY OZIAS-AKINS, UNIVERSITY OF GEORGIA. |
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Título: |
The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Nature Genetics, v. 48, p. 438-446, 2016. |
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DOI: |
10.1038/ng.3517 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Sequencing. |
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Thesaurus Nal: |
genomics; plant genetics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183244/1/ng.3517.pdf
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Marc: |
LEADER 01570naa a2200601 a 4500
001 2052657
005 2024-04-25
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1038/ng.3517$2DOI
100 1 $aBERTIOLI, D. J.
245 $aThe genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut.$h[electronic resource]
260 $c2016
650 $agenomics
650 $aplant genetics
653 $aSequencing
700 1 $aCANNON, S. B.
700 1 $aFROENICKE, L.
700 1 $aHUANG, G.
700 1 $aFARMER, A. D.
700 1 $aCANNON, E. K. S.
700 1 $aLIU, X.
700 1 $aGAO, D.
700 1 $aCLEVENGER, J.
700 1 $aDASH, S.
700 1 $aREN, L.
700 1 $aMORETZSOHN, M. C.
700 1 $aSHIRASAWA, K.
700 1 $aHUANG, W.
700 1 $aVIDIGAL, B.
700 1 $aABERNATHY, B.
700 1 $aNIEDERHUTH, C. E.
700 1 $aUMALE, P.
700 1 $aARAUJO, A. C. G.
700 1 $aKOZIK, A.
700 1 $aKIM, K. do
700 1 $aBUROW, M. D.
700 1 $aVARSHNEY, R. K.
700 1 $aWANG, X.
700 1 $aZHANG, X.
700 1 $aBARKLEY, N.
700 1 $aGUIMARAES, P. M.
700 1 $aISOBE, S.
700 1 $aGUO, B.
700 1 $aLIAO, B.
700 1 $aSTALKER, H. T.
700 1 $aSCHMITZ, R. J.
700 1 $aSCHEFFLER, B. E.
700 1 $aBERTIOLI, S. C. M. L.
700 1 $aXUN, X.
700 1 $aJACKSON, S. A.
700 1 $aMICHELMORE, R.
700 1 $aOZIAS-AKINS, P.
773 $tNature Genetics$gv. 48, p. 438-446, 2016.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
30/11/2023 |
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Data da última atualização: |
30/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CAMARGO JÚNIOR, R. N. C.; ARAÚJO, C. V. de; SILVA, W. C. da; ARAÚJO, S. I. de; LÔBO, R. B.; NAKABASHI, L. R. M.; CASTRO, L. M. de; MENEZES, F. L.; SILVA, A. G. M. e; SILVA, L. K. X.; SILVA, J. A. R. da; BARBOSA, A. V. C.; MARQUES, J. R. F.; LOURENÇO JÚNIOR, J. de. |
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Afiliação: |
RAIMUNDO NONATO COLARES CAMARGO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ; CLÁUDIO VIEIRA DE ARAÚJO, UNIVERSIDADE FEDERAL DO MATO GROSSO; WELLIGTON CONCEIÇÃO DA SILVA, UNIVERSIDADE FEDERAL DO PARÁ; SIMONE INOE DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSO; RAYSILDO BARBOSA LÔBO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES; LÍLIAN ROBERTA MATIMOTO NAKABASHI, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES; LETÍCIA MENDES DE CASTRO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES; FLÁVIO LUIZ MENEZES, UNIVERSIDADE FEDERAL DO MATO GROSSO; ANDRÉ GUIMARÃES MACIEL E SILVA, UNIVERSIDADE FEDERAL DO PARÁ; LÍLIAN KÁTIA XIMENES SILVA, UNIVERSIDADE FEDERAL DO PARÁ; JAMILE ANDRÉA RODRIGUES DA SILVA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA; ANTÔNIO VINICIUS CORREA BARBOSA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA; JOSE RIBAMAR FELIPE MARQUES, CPATU; JOSÉ DE BRITO LOURENÇO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ. |
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Título: |
Mixed models in nonlinear regression for description of the growth of Nelore Cattle. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Animals, v. 13, n. 1, Article 101, 2023. |
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DOI: |
https://doi.org/10.3390/ani13010101 |
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Idioma: |
Inglês |
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Conteúdo: |
Body weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy. |
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Palavras-Chave: |
Regressão não-linear. |
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Thesagro: |
Crescimento; Gado; Gado Nelore. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1158952/1/Mixed-Models.pdf
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Marc: |
LEADER 02217naa a2200337 a 4500
001 2158952
005 2023-11-30
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/ani13010101$2DOI
100 1 $aCAMARGO JÚNIOR, R. N. C.
245 $aMixed models in nonlinear regression for description of the growth of Nelore Cattle.$h[electronic resource]
260 $c2023
520 $aBody weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy.
650 $aCrescimento
650 $aGado
650 $aGado Nelore
653 $aRegressão não-linear
700 1 $aARAÚJO, C. V. de
700 1 $aSILVA, W. C. da
700 1 $aARAÚJO, S. I. de
700 1 $aLÔBO, R. B.
700 1 $aNAKABASHI, L. R. M.
700 1 $aCASTRO, L. M. de
700 1 $aMENEZES, F. L.
700 1 $aSILVA, A. G. M. e
700 1 $aSILVA, L. K. X.
700 1 $aSILVA, J. A. R. da
700 1 $aBARBOSA, A. V. C.
700 1 $aMARQUES, J. R. F.
700 1 $aLOURENÇO JÚNIOR, J. de
773 $tAnimals$gv. 13, n. 1, Article 101, 2023.
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Embrapa Amazônia Oriental (CPATU) |
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