dc.contributorAmado, Telmo Jorge Carneiro
dc.contributorhttp://lattes.cnpq.br/8591926237097756
dc.contributorViana, João Herbert Moreira
dc.contributorhttp://lattes.cnpq.br/5963012432691034
dc.contributorRoloff, Glaucio
dc.contributorhttp://lattes.cnpq.br/9103783973362038
dc.contributorGiotto, Enio
dc.contributorhttp://lattes.cnpq.br/0619523016722374
dc.contributorEltz, Flavio Luiz Foletto
dc.contributorhttp://lattes.cnpq.br/2238828304382975
dc.creatorSanti, Antônio Luis
dc.date.accessioned2017-03-17
dc.date.available2017-03-17
dc.date.created2017-03-17
dc.date.issued2007-02-16
dc.identifierSANTI, Antônio Luis. Improvement of the handling of the ground using the tools of the precision agriculture. 2007. 175 f. Tese (Doutorado em Agronomia) - Universidade Federal de Santa Maria, Santa Maria, 2007.
dc.identifierhttp://repositorio.ufsm.br/handle/1/3300
dc.description.abstractThe estimative of yield variability is an important tool to soil management decisions and to investigate yield limiting factors. Tools of precision farming as yield mapping and soil sampling using GPS makes possible identify the spatial variability of the field. This study was carried out with the objective of identify the main relationship among soil indicators and yield crops. The research was carried out in two commercial farms under no-tillage system located in Rio Grande do Sul State, Brazil. The soil is Oxisol and the weather cfa wet following Koppen classification. In this work six yield mapping of soybean, wheat and maize were merged to allow the definition of management zones. Three zones were classified as low, medium and high yield. In each zone 5 points were located and soil fertility (P, K, Ca, Mg, basis saturation, pH, SOM) and soil physic indicators (water infiltration, soil aggregation, bulk density, soil compaction) were investigated. The high yield zone, which had around 30% of total area, and the yield achieved was close to obtained in research plots. The soil fertility evolution was determined by temporal soil sampling in a 1 ha grid. In relation to native grass and natural forest (reference treatments) the cropland showed high levels of P and K in 0 to 0.05 m. Also, the downward movement of Ca+2 and Mg+2 were observed in cropland, even with surface broadcast lime. The amount of fertilizer input and nutrient harvest removed allow to estimate the soil fertility evolution. In 0 to 0.10 m there was necessary apply 14 kg of P2O5 ha-1 to increase 1 mg dm-3 of P available by Melich-1. For K there was necessary appling 5.2 kg de K2O ha-1 to increase 1 mg dm-3 of K available by Melich-1. There was a close relationship among nutrient use efficiency map, water infiltration map and yield map. The water infiltration was the soil indicator that explains the higher percentage of yield variability. Following by the macroaggregates (> 4.76 mm), GMD, bulk density, soil resistance and microporosity. In general the soil fertility was high and therefore the relationship with yield variability was low. The precison farm tools were efficient to establish the relationship between soil indicators and crop yields.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBR
dc.publisherAgronomia
dc.publisherUFSM
dc.publisherPrograma de Pós-Graduação em Ciência do Solo
dc.rightsAcesso Aberto
dc.subjectAgronomia
dc.subjectSolo
dc.subjectAgricultura de precisão
dc.subjectPlantio direto
dc.subjectQualidade do solo
dc.titleRelações entre indicadores de qualidade do solo e a produtividade das culturas em áreas com agricultura de precisão
dc.typeTese


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