Jonathan Goularte Silva

AUTHOR: Jonathan Goularte Silva
TITLE: AGRICULTURAL PLINTOSOL QUALITY INDEX FOR CERRADO'S OF SOUTHWEST GOIÁS AGRICULTURAL PURPOSES (ÍNDICE DE QUALIDADE DE UM PLINTOSSOLO ARGILÚVICO PARA FINS AGRÍCOLAS NO CERRADO DO SUDOESTE DE GOIÁS)
ADVISOR: Prof. Dr. Hildeu Ferreira da Assunção, Co-Advisor: Prof. Dr. Edésio Fialho dos Reis
CONCENTRATION AREA: No information
RESEARCH LINE: No information
APPROVAL DATE: 10/01/2010

 

Abstract:

Soil quality is a broad concept that refers to the balance between chemical, physical and biological soil conditioners. For its evaluation has been postulated the need to identify parameters of its state of conservation and/or degradation. Aimed to evaluate the quality of soils of lair areas under native vegetation and in different stages of anthropic intervention under no tillage management system. Soil samples were collected in September 2009 at Fazenda Boa Vista, Jataí-GO. For each of the areas a plot of 1ha was drawn, where within each soil samples were taken from the initial layer of 0-10 cm. A phytosociological survey was carried out in the lairs that were sampled in the soil and in the regions located under the hills. For the sampling of grass and weeds in the other areas, a wood sampler with dimensions of 0.5 X 0.5 m was used. To model the soil quality index, soil samples were taken to determine chemical, physical and microbiological variables. The soil quality determination indices was made using the additive standardized logistic curve model proposed by Karlen and Stott (1994). The studied variables were grouped according to each of the soil abilities and then they were submitted to the Canonical Variables analysis and also the analysis of the relative contribution of the characters to diversity, according to Singh's (1981) criterion, based on the distance. Mahalanobis. Soil quality indexes for the natural areas and under 15 years of anthropic intervention were statistically similar to each other, 0.70502 and 0.63352 respectively, and differed from the other areas, which also differed with the area under 10 years. with an index of 0.388985 and the area under 6 years of anthropic intervention an index of 0.166729. The model wasn't efficient to evaluate the “biomass production” between agricultural and natural areas.

 

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