Banca de DEFESA: DHIELIDA TORQUATO DOS SANTOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : DHIELIDA TORQUATO DOS SANTOS
DATA : 04/03/2020
HORA: 14:00
LOCAL: Cáceres
TÍTULO:

Genetic dissimilarity through chemical analysis and oil content of Carthamus tinctorius L.


PALAVRAS-CHAVES:

Safflower; Genetic divergence; Oil.


PÁGINAS: 74
GRANDE ÁREA: Ciências Agrárias
ÁREA: Agronomia
SUBÁREA: Fitotecnia
ESPECIALIDADE: Melhoramento Vegetal
RESUMO:

The safflower culture has stood out for presenting excellent quality and high oil content in its seeds, which can be used in industries with different purposes, such as for food and pharmaceuticals or for the production of energy by biodiesel. Brazil is an important producer of biodiesel and has favorable edaphoclimatic conditions for the cultivation of safflower. As it is a drought-tolerant plant and presents resistance to water deficit, its cultivation can be indicated in conditions with reduced humidity, such as in the second harvest period for the Midwest region of Brazil. In view of the above, this study aimed to evaluate 122 safflower genotypes from the Germoplasm Active Bank (BAG) of the Instituto Mato-Grossense do Algodão (IMA-MT), based on the oil content and chemical analyzes, in order to identify accesses with superior characteristics in relation to oil, by means of multivariate analysis, aiming to expand information on this culture. The characteristics analyzed were: oil content; acidity level; iodine index and saponification index. The data were subjected to analysis of variance and multivariate analysis based on the generalized Mahalanobis distance to estimate genetic divergence, using the Tocher grouping method, UPGMA, canonical variables and relative importance of the characters. The results indicated significant differences (p <0.01) for all variables analyzed, showing the existence of genetic variability between safflower genotypes. The genotypes PI 369845 and PI 401589 showed greater genetic divergence (= 946.00), and the clusters generated by the method of Tocher's optimization, UPGMA and graphic dispersion showed similarities in the clusters of genotypes. The first two canonical variables were sufficient to explain 90.87% of the total variation and the variables oil content and acidity level obtained the greatest contribution to genetic divergence, demonstrating that among the 122 accessions evaluated there is wide genetic divergence.


MEMBROS DA BANCA:
Presidente - 101376004 - MARCO ANTONIO APARECIDO BARELLI
Externo ao Programa - 253963001 - JOSE WILSON PIRES CARVALHO
Externo à Instituição - CRISTIAN JACQUES BOLNER DE LIMA - IFMT
Notícia cadastrada em: 13/02/2020 00:08
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