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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
13/03/2018 |
Actualizado : |
13/03/2018 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
SANTOS, W. DOS; ARAUJO, D.; TORRES, D.; CORNACINI, M.R.; DA SILVA, J.R.; ZARUMA, D.U.G.; BALERONI RECCO, C.R.S.; TEIXEIRA, M.L.M; SOUSA, V.A. DE; AGUIAR, A.V. DE |
Afiliación : |
WANDERLEY DOS SANTOS; DANIELA ARAUJO; DIEGO GABRIEL TORRES DINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAIARA RIBEIRO CORNACINI; JANAÍNA RODRIGUES DA SILVA; DARLIN ULISESS GONZALEZ ZARUMA; CAMILA REGINA SILVA BALERONI RECCO; MARIO LUIZ TEIXEIRA MORAES; VALDERÉS APARECIDA DE SOUSA; ANANDA VIRGINIA DE AGUIAR. |
Título : |
Genetic divergence in Pinus caribaea var. hondurensis progeny in Brazil. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: IUFRO Forest Tree Breeding Conference, August 25-29, Prague, Czech Republic, 2014. Book of Abstracts. |
Páginas : |
p. 54 |
Idioma : |
Inglés |
Contenido : |
Pinus caribaea var. hondurensis has been planted successfully in Brazil especially in warm regions, free of frost and drought. With a fast growth, good adaptability
and stem form besides a high resin production. It is originated from Central America and Mexico, at altitudes ranging from sea level to 500 m altitude, and exceptionally
at 1000 m altitude. The genetic divergence was estimated by distance between pairs of P. caribaea var.hondurensis progenies for quantitative traits. The progeny trial was established p on June 1986, in Selviria, in Mato Grosso do Sul State, Brazil. Experimental design was 10x10 triple lattice design, with 100 treatments (96 progenies from a clonal seed orchard of P. caribaea var. hondurensis and four commercial controls), with linear plots of ten plants. The spacing between plants was 3 mx 3 m. Analyses of genetic divergence were performed according to REML/BLUP procedure. Dissimilarity measures between pairs of Pinus caribaea var. hondurensis progenies for silvicultural traits were estimated through generalized distance of Mahalanobis (D2). The maximum distance (D2 = 65.51) was observed among progenies 42 and 14, and the minimum (D2 = 0.15) among the progenies 33 and 22, and 93 and 38, respectively. The pattern of phenotypic structure of 96 progenies of P. caribaea var. hondurensis resulted in the formation of four groups. One constituted the majority of progenies (96,9%) and others aggregately by (1,05%). Despite crosses between some genotypes
with high estimates of divergence, it will not ensure high heterosis due to the necessity of dominance and epistatic interactions. There is a greater probability to obtain more promising combinations when divergent genotypes are crossed. MenosPinus caribaea var. hondurensis has been planted successfully in Brazil especially in warm regions, free of frost and drought. With a fast growth, good adaptability
and stem form besides a high resin production. It is originated from Central America and Mexico, at altitudes ranging from sea level to 500 m altitude, and exceptionally
at 1000 m altitude. The genetic divergence was estimated by distance between pairs of P. caribaea var.hondurensis progenies for quantitative traits. The progeny trial was established p on June 1986, in Selviria, in Mato Grosso do Sul State, Brazil. Experimental design was 10x10 triple lattice design, with 100 treatments (96 progenies from a clonal seed orchard of P. caribaea var. hondurensis and four commercial controls), with linear plots of ten plants. The spacing between plants was 3 mx 3 m. Analyses of genetic divergence were performed according to REML/BLUP procedure. Dissimilarity measures between pairs of Pinus caribaea var. hondurensis progenies for silvicultural traits were estimated through generalized distance of Mahalanobis (D2). The maximum distance (D2 = 65.51) was observed among progenies 42 and 14, and the minimum (D2 = 0.15) among the progenies 33 and 22, and 93 and 38, respectively. The pattern of phenotypic structure of 96 progenies of P. caribaea var. hondurensis resulted in the formation of four groups. One constituted the majority of progenies (96,9%) and others aggregately by (1,05%). Despite crosses between some genotypes
... Presentar Todo |
Palabras claves : |
GENÉTICA FORESTAL. |
Thesagro : |
BRASIL; FORESTACIÓN. |
Asunto categoría : |
K10 Producción forestal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8909/1/Genetic-divergence-in-Pinus-caribaea-var.-hondurensis.pdf
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Marc : |
LEADER 02537nam a2200265 a 4500 001 1058240 005 2018-03-13 008 2014 bl uuuu u01u1 u #d 100 1 $aSANTOS, W. DOS 245 $aGenetic divergence in Pinus caribaea var. hondurensis progeny in Brazil.$h[electronic resource] 260 $aIn: IUFRO Forest Tree Breeding Conference, August 25-29, Prague, Czech Republic, 2014. Book of Abstracts.$c2014 300 $ap. 54 520 $aPinus caribaea var. hondurensis has been planted successfully in Brazil especially in warm regions, free of frost and drought. With a fast growth, good adaptability and stem form besides a high resin production. It is originated from Central America and Mexico, at altitudes ranging from sea level to 500 m altitude, and exceptionally at 1000 m altitude. The genetic divergence was estimated by distance between pairs of P. caribaea var.hondurensis progenies for quantitative traits. The progeny trial was established p on June 1986, in Selviria, in Mato Grosso do Sul State, Brazil. Experimental design was 10x10 triple lattice design, with 100 treatments (96 progenies from a clonal seed orchard of P. caribaea var. hondurensis and four commercial controls), with linear plots of ten plants. The spacing between plants was 3 mx 3 m. Analyses of genetic divergence were performed according to REML/BLUP procedure. Dissimilarity measures between pairs of Pinus caribaea var. hondurensis progenies for silvicultural traits were estimated through generalized distance of Mahalanobis (D2). The maximum distance (D2 = 65.51) was observed among progenies 42 and 14, and the minimum (D2 = 0.15) among the progenies 33 and 22, and 93 and 38, respectively. The pattern of phenotypic structure of 96 progenies of P. caribaea var. hondurensis resulted in the formation of four groups. One constituted the majority of progenies (96,9%) and others aggregately by (1,05%). Despite crosses between some genotypes with high estimates of divergence, it will not ensure high heterosis due to the necessity of dominance and epistatic interactions. There is a greater probability to obtain more promising combinations when divergent genotypes are crossed. 650 $aBRASIL 650 $aFORESTACIÓN 653 $aGENÉTICA FORESTAL 700 1 $aARAUJO, D. 700 1 $aTORRES, D. 700 1 $aCORNACINI, M.R. 700 1 $aDA SILVA, J.R. 700 1 $aZARUMA, D.U.G. 700 1 $aBALERONI RECCO, C.R.S. 700 1 $aTEIXEIRA, M.L.M 700 1 $aSOUSA, V.A. DE 700 1 $aAGUIAR, A.V. DE
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
02/04/2020 |
Actualizado : |
24/02/2022 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
JOHANSSON, E.; BRANLARD, G.; CUNIBERTI, M.; FLAGELLA, Z.; HÜSKEN, A.; NURIT, E.; PEÑA, R.J.; SISSONS, M.; VÁZQUEZ, D. |
Afiliación : |
EVA JOHANSSON, Department of Plant BreedingThe Swedish University of Agricultural Sciences, Alnarp,Sweden.; GÉRARD BRANLARD, INRAE, UCA UMR1095 GDEC Clermont-Ferrand, France.; MARTA CUNIBERTI, Wheat and Soybean Quality Lab, National Institute of Agriculture Technology (INTA). Marcos Juárez, órdoba,Argentina.; ZINA FLAGELLA, Department of Agricultural, Food and Environmental SciencesUniversity of Foggia, Foggia, Italy.; ALEXANDRA HÜSKEN, Department of Safety and Quality of CerealsMax Rubner-Institut, Federal Research Institute of Nutrition and Food Detmold, Germany.; ERIC NURIT, Mazan,France.; ROBERTO JAVIER PEÑA, International Maize and Wheat Improvement Center (CIMMYT)Texcoco, Mexico.; MIKE SISSONS, NSW Department of Primary IndustriesTamworth Centre for Crop Improvement Calala,Australia.; DANIEL VÁZQUEZ PEYRONEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genotypic and Environmental Effects on Wheat Technological and Nutritional Quality. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
In: Igrejas G., Ikeda T., Guzmán C. (eds). Wheat Quality For Improving Processing And Human Health. Cham:Springer. Doi: https://doi.org/10.1007/978-3-030-34163-3_8 |
Páginas : |
p. 171-204. |
ISBN : |
978-3-030-34163-3 (eBook) |
DOI : |
10.1007/978-3-030-34163-3_8 |
Idioma : |
Inglés |
Notas : |
Article histotory: First Online: 18 March 2020. |
Contenido : |
Abstract:
Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determining the technological quality of a wheat flour. For nutritional quality of the flour, the majority of the compounds are together the important determinant. Thus an increased understanding of environmental effects is essential. As to how the environment is influencing the content of the compounds, there are some differences. The protein content and composition is strongly affected by environmental factors influencing nitrogen availability and cultivar development time. However, these two factors are impacted by a range of environmental (temperature, precipitation, humidity/sun hours, etc.) and agronomic (soil properties, crop management practices such as seeding density, nitrogen fertilizer application timing and amount, etc.) components. Thus, to understand the interplay between the various environmental and agronomic factors impacting the technological quality of a wheat flour, modeling is a useful tool. Several other compounds, including minerals and heavy metals, are to a higher extent determined by site specific variation, resulting in similar rankings of entries across locations, although the total content is varying among years. The bioactive compounds and vitamins are a part of the defense mechanisms of plants and thus there is a variation in these compounds depending on prevailing biotic and abiotic stresses (heat, drought, excess rainfall, nutrition, diseases and pests). Thus, even for nutritional quality of wheat, incorporating all compounds of relevance in the evaluation would benefit from modeling tools. MenosAbstract:
Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determini... Presentar Todo |
Palabras claves : |
BIOACTIVE COMPOUNDS; CULTIVAR X ENVIRONMENTAL; END-USE QUALITY; GENOTIPO X AMBIENTE; INTERACTIONS; MINERALS; PLATAFORMA AGROALIMENTOS; PROCESSING; PROTEINS; WHEAT. |
Thesagro : |
TRIGO. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 04237naa a2200385 a 4500 001 1060979 005 2022-02-24 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1007/978-3-030-34163-3_8$2DOI 100 1 $aJOHANSSON, E. 245 $aGenotypic and Environmental Effects on Wheat Technological and Nutritional Quality.$h[electronic resource] 260 $c2020 300 $ap. 171-204. 500 $aArticle histotory: First Online: 18 March 2020. 520 $aAbstract: Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determining the technological quality of a wheat flour. For nutritional quality of the flour, the majority of the compounds are together the important determinant. Thus an increased understanding of environmental effects is essential. As to how the environment is influencing the content of the compounds, there are some differences. The protein content and composition is strongly affected by environmental factors influencing nitrogen availability and cultivar development time. However, these two factors are impacted by a range of environmental (temperature, precipitation, humidity/sun hours, etc.) and agronomic (soil properties, crop management practices such as seeding density, nitrogen fertilizer application timing and amount, etc.) components. Thus, to understand the interplay between the various environmental and agronomic factors impacting the technological quality of a wheat flour, modeling is a useful tool. Several other compounds, including minerals and heavy metals, are to a higher extent determined by site specific variation, resulting in similar rankings of entries across locations, although the total content is varying among years. The bioactive compounds and vitamins are a part of the defense mechanisms of plants and thus there is a variation in these compounds depending on prevailing biotic and abiotic stresses (heat, drought, excess rainfall, nutrition, diseases and pests). Thus, even for nutritional quality of wheat, incorporating all compounds of relevance in the evaluation would benefit from modeling tools. 650 $aTRIGO 653 $aBIOACTIVE COMPOUNDS 653 $aCULTIVAR X ENVIRONMENTAL 653 $aEND-USE QUALITY 653 $aGENOTIPO X AMBIENTE 653 $aINTERACTIONS 653 $aMINERALS 653 $aPLATAFORMA AGROALIMENTOS 653 $aPROCESSING 653 $aPROTEINS 653 $aWHEAT 700 1 $aBRANLARD, G. 700 1 $aCUNIBERTI, M. 700 1 $aFLAGELLA, Z. 700 1 $aHÜSKEN, A. 700 1 $aNURIT, E. 700 1 $aPEÑA, R.J. 700 1 $aSISSONS, M. 700 1 $aVÁZQUEZ, D. 773 $tIn: Igrejas G., Ikeda T., Guzmán C. (eds). Wheat Quality For Improving Processing And Human Health. Cham:Springer. Doi: https://doi.org/10.1007/978-3-030-34163-3_8
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