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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
13/03/2018 |
Actualizado : |
13/03/2018 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
TORRES, D.; MORAES, M.L.T. DE |
Afiliación : |
DIEGO GABRIEL TORRES DINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO LUIZ TEIXEIRA DE MORAES. |
Título : |
Source to cold resistance in Eucalyptus breeding programs. [Resumen]. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: IUFRO Forest Tree Breeding Conference, August 25-29, Prague, Czech Republic, 2014. Book of Abstracts. |
Páginas : |
p. 45 |
Idioma : |
Inglés |
Contenido : |
The global area forested with Eucalypt has exceeded 20 million hectares, distributed in more than 90 countries with the most diverse climates. About 50% of these
surfaces are located in low temperature countries with frequent frost. This is risky for the production and can cause death in juvenile trees; and also combined with
other damages like fungal or insects reducing its growth. The correct species and provenance selection for cold resistance phenotypes is a key factor before starting
the tree improvement program. The comparison of native original climates with the exotic regions can be inferred with climate mapping software, associated
with genetics studies and field tests. A wide range of genetic variability of Eucalyptus genus ensures the availability of species and germplasm resistance. The
species E. globulus, E. dunnii, E. nitens, E. viminalis, E. benthamii and E. pauciflora, are originated from the coldest region of Australia. These species have good
frost resistance and optimal growth. In the case of E. Pauciflora is distinguished by its extreme cold resistance, representing optimal model specie for the physiological
basis to cold resistance researches. These species were used in different countries and continents, producing different results on each of the experiences. The aim of
this article is to review different strategies and results obtained from cold resistant breeding around the world |
Thesagro : |
FORESTACIÓN. |
Asunto categoría : |
K10 Producción forestal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8911/1/Source-to-cold-resistance-in-Eucaluptus-Breeding-programs.pdf
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Marc : |
LEADER 01915nam a2200145 a 4500 001 1058241 005 2018-03-13 008 2014 bl uuuu u01u1 u #d 100 1 $aTORRES, D. 245 $aSource to cold resistance in Eucalyptus breeding programs. [Resumen].$h[electronic resource] 260 $aIn: IUFRO Forest Tree Breeding Conference, August 25-29, Prague, Czech Republic, 2014. Book of Abstracts.$c2014 300 $ap. 45 520 $aThe global area forested with Eucalypt has exceeded 20 million hectares, distributed in more than 90 countries with the most diverse climates. About 50% of these surfaces are located in low temperature countries with frequent frost. This is risky for the production and can cause death in juvenile trees; and also combined with other damages like fungal or insects reducing its growth. The correct species and provenance selection for cold resistance phenotypes is a key factor before starting the tree improvement program. The comparison of native original climates with the exotic regions can be inferred with climate mapping software, associated with genetics studies and field tests. A wide range of genetic variability of Eucalyptus genus ensures the availability of species and germplasm resistance. The species E. globulus, E. dunnii, E. nitens, E. viminalis, E. benthamii and E. pauciflora, are originated from the coldest region of Australia. These species have good frost resistance and optimal growth. In the case of E. Pauciflora is distinguished by its extreme cold resistance, representing optimal model specie for the physiological basis to cold resistance researches. These species were used in different countries and continents, producing different results on each of the experiences. The aim of this article is to review different strategies and results obtained from cold resistant breeding around the world 650 $aFORESTACIÓN 700 1 $aMORAES, M.L.T. DE
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3. | | MEDEIROS, W.; PUPIN, S.; TORRES, D.; PAVAN, B.E.; FERRAUDO, A.S.; DE MORAES, M.L.T.; DE PAULA, R.C. Artificial neural networks for predicting the genetic value of Eucalyptus progenies. In: Pesquisa florestal brasileira = Brazilian journal of forestry research., v. 39, e201902043, Special issue, 2019. Colombo : Embrapa Florestas, 2019. Congreso IUFRO, 25., Curitiba, Brasil, 29 setiembre-05 octubre, 2019. Abstracts. p. 187-188Tipo: Abstracts/Resúmenes |
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