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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
20/06/2015 |
Actualizado : |
20/06/2015 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMENEZ, A.; CASTAÑO, J.; FUREST, J.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMENEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE MARIA FUREST CROCCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe Agroclimático 2013 - Situación a Enero. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2013. |
Páginas : |
4 p. |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4719/1/Inf.Agr.-enero-2013.pdf
http://www.inia.uy/Publicaciones/Paginas/publicacion-2730.aspx
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Marc : |
LEADER 02091nam a2200805 a 4500 001 1052875 005 2015-06-20 008 2013 bl uuuu u0uu1 u #d 100 1 $aGIMENEZ, A. 245 $aInforme Agroclimático 2013 - Situación a Enero.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2013 300 $a4 p. 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCASTAÑO, J. 700 1 $aFUREST, J. 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
24/02/2021 |
Actualizado : |
24/02/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MARCHI, P. M.; CARVALHO, R.; HÖHN, D.; CARRA, B.; SZARESKI, V. J.; DINI, M.; VIZZOTTO, M.; ANTUNES, L. E. C. |
Afiliación : |
P.M. MARCHI, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; I.R. CARVALHO, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; D. HÖHN, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; B. CARRA, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; V.J. SZARESKI, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; MAXIMILIANO ANTONIO DINI VIÑOLY, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazi; lNIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; M. VIZZOTTO, Empresa Brasileira de Pesquisa Agropecuária, Estação Experimental de Fruticultura de Clima Temperado, Pelotas, RS, Brazil; L.E.C. ANTUNES, Empresa Brasileira de Pesquisa Agropecuária, Estação Experimental de Fruticultura de Clima Temperado, Pelotas, RS, Brazil. |
Título : |
Genetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Genetics and Molecular Research, 2019, Volume 18, Issue 2, 2019, Article number gmr18254. OPEN ACCESS. DOI: http://dx.doi.org/10.4238/gmr18254 |
ISSN : |
1676-5680 |
DOI : |
10.4238/gmr18254 |
Idioma : |
Inglés |
Notas : |
Article history: Received February 04, 2019; Accepted May 17, 2019; Published May 24, 2019. |
Contenido : |
ABSTRACT.
Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotypes × production cycle was observed for plant height, fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Mg and Fe. The genotype ?Alemãzinha? was superior for beginning of fruit harvest, plant height, anthocyanins, titratable acidity, and several minerals. Five inheritable profiles were found; the profile IV, including plant height, fruit weight, Mg, Fe, and total phenols had moderate broad sense heritability. Only profile V, composed of anthocianins, presented high heritability. © FUNPEC-RP. MenosABSTRACT.
Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotyp... Presentar Todo |
Palabras claves : |
Berries; Heritability; Plant breeding; RELM/BLUP; Rubus idaeus; Small fruits. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15061/1/Marchi-et-al.-Genetic-parameters-prediction-remlblup-GMR-2019.pdf
http://www.funpecrp.com.br/gmr/articles/year2019/vol18-2/pdf/gmr18254_-_genetic-parameters-prediction-remlblup-morphological-physical-chemical-phytochemical-and.pdf
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Marc : |
LEADER 03106naa a2200313 a 4500 001 1061759 005 2021-02-24 008 2019 bl uuuu u00u1 u #d 022 $a1676-5680 024 7 $a10.4238/gmr18254$2DOI 100 1 $aMARCHI, P. M. 245 $aGenetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries.$h[electronic resource] 260 $c2019 500 $aArticle history: Received February 04, 2019; Accepted May 17, 2019; Published May 24, 2019. 520 $aABSTRACT. Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotypes × production cycle was observed for plant height, fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Mg and Fe. The genotype ?Alemãzinha? was superior for beginning of fruit harvest, plant height, anthocyanins, titratable acidity, and several minerals. Five inheritable profiles were found; the profile IV, including plant height, fruit weight, Mg, Fe, and total phenols had moderate broad sense heritability. Only profile V, composed of anthocianins, presented high heritability. © FUNPEC-RP. 653 $aBerries 653 $aHeritability 653 $aPlant breeding 653 $aRELM/BLUP 653 $aRubus idaeus 653 $aSmall fruits 700 1 $aCARVALHO, R. 700 1 $aHÖHN, D. 700 1 $aCARRA, B. 700 1 $aSZARESKI, V. J. 700 1 $aDINI, M. 700 1 $aVIZZOTTO, M. 700 1 $aANTUNES, L. E. C. 773 $tGenetics and Molecular Research, 2019, Volume 18, Issue 2, 2019, Article number gmr18254. OPEN ACCESS. DOI: http://dx.doi.org/10.4238/gmr18254
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