Multivariate analysis of soybeans in different parts of the plant - Sales, Victor Hugo Gomes;Sales, Paulo Victor Gomes;Peluzio, Joenes Mucci
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This study was proposed with the aim of contributing new information on the effect of pod position in different parts of the plant on physical, chemical and agronomic characteristics, given the scarcity of such information in the academic literature. Two experiments were set up in the experimental field of the Federal University of Tocantins, in Palmas-TO, latitude 10º45' S, longitude 47º14' W, at an altitude of 220 m, with an Aw climate (tropical with a dry season), in Latossolo Vermelho Amarelo Distrófico soil in the 2011/12 and 2012/13 agricultural years with 15 soybean cultivars adapted to…mehr

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Produktbeschreibung
This study was proposed with the aim of contributing new information on the effect of pod position in different parts of the plant on physical, chemical and agronomic characteristics, given the scarcity of such information in the academic literature. Two experiments were set up in the experimental field of the Federal University of Tocantins, in Palmas-TO, latitude 10º45' S, longitude 47º14' W, at an altitude of 220 m, with an Aw climate (tropical with a dry season), in Latossolo Vermelho Amarelo Distrófico soil in the 2011/12 and 2012/13 agricultural years with 15 soybean cultivars adapted to low latitudes. The work was divided into three chapters, the first being a literature review, the second on the effect of pod position on oil and protein content in different parts of the plant, and the third presenting the study of genetic diversity of soybean cultivars in different parts of the plant, based on agronomic and physical-chemical characteristics, through multivariate analysis by the TOCHER clustering method, obtained from the Mahalanobis distance.
Autorenporträt
Victor Hugo Gomes Sales is a food engineer with a master's degree in agroenergy and a PhD candidate in biotechnology. He is currently a professor at the Federal Institute of Amapá, working in the areas of agricultural sciences, food science and technology, industrial microbiology, biotechnology, biofuels, and process planning and optimisation.