Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/58907
Título: Seleção de clones de batata com aptidão para o processamento industrial na forma de chips
Título(s) alternativo(s): Selection of potato clones for chipping
Autores: Marçal, Tiago de Souza
Carneiro, Vinicius Quintão
Pereira, Arione da Silva
Gonçalves, Luciano Donizete
Palavras-chave: Batata - Melhoramento genético
Fenotipagem de alto rendimento
Batata - Processamento
Batata - Seleção de clones
Batata chips
Processamento industrial
Potato - Genetic improvement
High performance phenotyping
Potato - Selection of clones
Potato chips
Industrial processing
Chips
Solanum tuberosum L.
Data do documento: 19-Fev-2024
Editor: Universidade Federal de Lavras
Citação: PADUA, L. N. Seleção de clones de batata com aptidão para o processamento industrial na forma de chips. 2023. 50 p. Dissertação (Mestrado em Genética e Melhoramento de Plantas)–Universidade Federal de Lavras, Lavras, 2023.
Resumo: Potatoes are the most important non-grain crop for global food security, and can be consumed fresh or industrially processed. Potato processing requires raw materials with high industrial yield and good frying quality. Thus the objective of this work was to identify potato clones that present, simultaneously, high industrial yield and excellent chip quality, through agronomic characterization and image analysis, aiming at the composition of trials of value for cultivation and use for the state of Minas Gerais. We evaluated 43 potato clones together with Atlantic cultivar in the winter 2022 crop season in two locations of the Minas Gerais state (Lavras and Bambuí). For both locations, incomplete block design partially repeated were used. In these experiments the following characters were evaluated: total and tuber dry mass yield (TTP and TDP) and tuber dry mass content (TDPT). Image phenotyping of flesh color (CPT) was performed in the winter crop season of 2021 and 2022 in Lavras, while that of chip darkening (CE) was performed only in 2022. In both cases the Lab system was used to extract the information from the digital images. All characters were submitted to individual analysis of variance, of which only CE was not submitted to joint analysis. For the agronomic characters, all clones were compared to the Atlantic cultivar using the Dunnett test at 5% probability, based on the means of the joint analysis. Four clones stood out in relation to the Atlantic cultivar for the PMST character and, on average, were 50% superior to this cultivar. The Atlantic cultivar outperformed all clones for the CE character; however, these clones presented an acceptable level of chip darkening. Moreover, the image analysis provided high accuracy in the evaluation of the CPT and CE characters.
URI: http://repositorio.ufla.br/jspui/handle/1/58907
Aparece nas coleções:Genética e Melhoramento de Plantas - Mestrado (Dissertações)

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