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| Registros recuperados : 111 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
12/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
REAL, D.; GORDON, I.L.; HODGSSON, J. |
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Afiliación : |
DANIEL REAL FERREIRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, Massey University, PO Box 11.222, Palmerston North, New Zealand.Institute of Molecular Biosciences, Massey University, Palmerston North, New Zealand; Department of Plant Science, Massey University, PO Box 11.222, Palmerston North, New Zealand. Institute of Natural Resources, Massey University, Palmerston North, New Zealand. |
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Título : |
Statistical modelling of grazing preference of sheep when presented with a range of plant types. |
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Fecha de publicación : |
2001 |
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Fuente / Imprenta : |
Journal of Agricultural Science, 2001, v. 136, no. 1, p. 111-117. |
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DOI : |
10.1017/S0021859600008418 |
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Idioma : |
Inglés |
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Notas : |
Article history: Revised MS received 22 June 2000. |
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Contenido : |
SUMMARY: A statistical model of the grazing preference of sheep is presented for the evaluation of spaced plants in small plots for plant breeding purposes. Plants are located randomly to reduce the effect of external factors on diet selection, and to differentiate between discriminatory and random grazing. Consistency of discrimination among grazings and sites (Massey University, New Zealand and INIA La Estanzuela, Uruguay) was tested. The statistical design and subsequent analyses considered all sources of variation to minimize error, and to separate genetic effects from environment effects.
Clonal replicates were used to enhance error-control, and hence the precision of heritability estimates, as most characters are inherited quantitatively. Post-grazing lea®ness is considered the best character to select and breed for animal preference in a red clover germplasm. |
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Palabras claves : |
ALIMENTACIÓN ANIMAL; ANIMAL FEEDING; ANIMAL PRODUCTIONS; GENOTYPE ENVIRONMENT INTERACTION; INTERACCIÓN GENOTIPO AMBIENTE; MODEL STUDY; MODELIZACIÓN; MODELO ESTADÍSTICO; OVINOS; PASTOREO; PLANTA FORRAJERA; SELECCIÓN VARIETAL; STATISTICAL MODEL. |
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Thesagro : |
OVINOS. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 01921naa a2200337 a 4500
001 1018189
005 2019-11-12
008 2001 bl uuuu u00u1 u #d
024 7 $a10.1017/S0021859600008418$2DOI
100 1 $aREAL, D.
245 $aStatistical modelling of grazing preference of sheep when presented with a range of plant types.$h[electronic resource]
260 $c2001
500 $aArticle history: Revised MS received 22 June 2000.
520 $aSUMMARY: A statistical model of the grazing preference of sheep is presented for the evaluation of spaced plants in small plots for plant breeding purposes. Plants are located randomly to reduce the effect of external factors on diet selection, and to differentiate between discriminatory and random grazing. Consistency of discrimination among grazings and sites (Massey University, New Zealand and INIA La Estanzuela, Uruguay) was tested. The statistical design and subsequent analyses considered all sources of variation to minimize error, and to separate genetic effects from environment effects. Clonal replicates were used to enhance error-control, and hence the precision of heritability estimates, as most characters are inherited quantitatively. Post-grazing lea®ness is considered the best character to select and breed for animal preference in a red clover germplasm.
650 $aOVINOS
653 $aALIMENTACIÓN ANIMAL
653 $aANIMAL FEEDING
653 $aANIMAL PRODUCTIONS
653 $aGENOTYPE ENVIRONMENT INTERACTION
653 $aINTERACCIÓN GENOTIPO AMBIENTE
653 $aMODEL STUDY
653 $aMODELIZACIÓN
653 $aMODELO ESTADÍSTICO
653 $aOVINOS
653 $aPASTOREO
653 $aPLANTA FORRAJERA
653 $aSELECCIÓN VARIETAL
653 $aSTATISTICAL MODEL
700 1 $aGORDON, I.L.
700 1 $aHODGSSON, J.
773 $tJournal of Agricultural Science, 2001$gv. 136, no. 1, p. 111-117.
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