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| 1. |  | IRISITY, M.; GIOSCIA, D.; BURZACO, P.; SOSA, J.; AYRES, C.; BERNARDI, M.; BERNARDI, A.; BAROLÍN, G.; CABRERA, D.; VIGNALE, B. Procesamiento de frutos de Guayabo del país (Acca sellowiana). Avances en el departamento de Colonia. [resumen] Valorización del producto: experiencias novedosas en producción, procesamiento y comercialización. ln: Congreso Nacional de Horti-Fruticultura, 12. Jornadas Regionales de Manejo Poscosecha de Frutas. Seminario Suelos en Horticultura. Seminario Frutales de Pepita. 20-23 octubre 2012, Montevideo (UY) Trabajos presentados. Montevideo (UY): INIA; SUHF, 2010. p.129.| Biblioteca(s): INIA Las Brujas. |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/08/2016 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
CERETTA, S.; VAN EEWIJK, F. |
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Afiliación : |
SERGIO EDUARDO CERETTA SORIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRED VAN EEUWIJK, Universidad de Wageningen (WU). |
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Título : |
Grain Yield Variation in Malting Barley Cultivars in Uruguay and Its Consequences for the Design of a Trials Network. |
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Fecha de publicación : |
2008 |
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Fuente / Imprenta : |
Crop Science, 2008, v. 48, no. 1, p. 167-180. |
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DOI : |
10.2135/cropsci2006.06.0428 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published January, 2008. |
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Contenido : |
ABSTRACT.
The efficiency of cultivar trial networks is an important subject in official cultivar testing. We investigated this efficiency for malting barley (Hordeum vulgare L.) in Uruguay, using data on 213 cultivars tested across an eight-year period at six locations. The variance-components approach was used to quantify the effects of years, locations, sowing dates and replicates on the precision of cultivar mean comparisons. The relationships among testing environments and genotypic adaptation patterns were explored via biplots. Factorial regression was used to model genotype × environment interaction (GEI) directly in relation to measured environmental variables. Variance components indicated that both the number of locations and sowing dates could be reduced. Biplot analysis identified some repeatable GEI patterns. Factorial regression showed that mean daily temperature during the emergence-heading period and daily minimum temperature at heading explained 20% of GEI. Still, the majority of the GEI appeared to be highly nonrepeatable. A future network should focus on wide adaptation while enhancing the chances to exploit specific adaptation to the prevalent temperature conditions by sampling contrasting sowing dates at different locations.
© 2008. Crop Science Society of America |
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Palabras claves : |
MALTING BARLEY. |
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Thesagro : |
CEBADA CERVECERA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01918naa a2200181 a 4500
001 1055263
005 2019-10-15
008 2008 bl uuuu u00u1 u #d
024 7 $a10.2135/cropsci2006.06.0428$2DOI
100 1 $aCERETTA, S.
245 $aGrain Yield Variation in Malting Barley Cultivars in Uruguay and Its Consequences for the Design of a Trials Network.$h[electronic resource]
260 $c2008
500 $aArticle history: Published January, 2008.
520 $aABSTRACT. The efficiency of cultivar trial networks is an important subject in official cultivar testing. We investigated this efficiency for malting barley (Hordeum vulgare L.) in Uruguay, using data on 213 cultivars tested across an eight-year period at six locations. The variance-components approach was used to quantify the effects of years, locations, sowing dates and replicates on the precision of cultivar mean comparisons. The relationships among testing environments and genotypic adaptation patterns were explored via biplots. Factorial regression was used to model genotype × environment interaction (GEI) directly in relation to measured environmental variables. Variance components indicated that both the number of locations and sowing dates could be reduced. Biplot analysis identified some repeatable GEI patterns. Factorial regression showed that mean daily temperature during the emergence-heading period and daily minimum temperature at heading explained 20% of GEI. Still, the majority of the GEI appeared to be highly nonrepeatable. A future network should focus on wide adaptation while enhancing the chances to exploit specific adaptation to the prevalent temperature conditions by sampling contrasting sowing dates at different locations. © 2008. Crop Science Society of America
650 $aCEBADA CERVECERA
653 $aMALTING BARLEY
700 1 $aVAN EEWIJK, F.
773 $tCrop Science, 2008$gv. 48, no. 1, p. 167-180.
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