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Zn and K influence in fruit sizes of Valencia orange
In orange commercial farms, Zn deficiencies symptoms and small fruits were observed in Corrientes, Argentine. During four years (1995 to 1998), Valencia orange (Citrus sinensis Osb.) on Rough lemonExpand
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Efectividad del 3,4- dimetilpirazolfosfato (DMPP) en naranjo dulce en el noreste Argentino
The aim of this study was to evaluate the 3,4-dimethylpirazol phosphate (DMPP) effect on the efficiency of ammonium-N fertilization on sandy soil of Corrientes, Argentina. The experiment was carriedExpand
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Statistical models to describe the fruit growth pattern in sweet orange 'Valencia late'
The objective of the present work was to find the statistical model that best describes the pattern of fruit growth of sweet orange "Valencia late" in the departments of Concepcion (orchard 1) andExpand
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Necesidad de tratamiento ortodóncico según severidad de maloclusión en pacientes adultos
Objective: To determine the need for orthodontic treatment according to severity of malocclusion using the Dental Aesthetic Index (DAI) in adult patients att...
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Physicochemical and microbiological evaluation of corrientes artisanal cheese during ripening
The aim of this study was to evaluate some physical and chemical parameters (total solids, pH, acidity, fat, acid degree value of fat, salt, protein and nitrogen fractions) and their effects on theExpand
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Major and trace elements contents in crude drug and infusions of two South American species of Achyrocline (Asteraceae) named "Marcelas"
Metals and their compounds as well as other mineral substances play a crucial role in the development of biologic systems 1 and in the environment as a whole 2. Plants accumulate a lot of mineralsExpand
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The major diversity centre for Neotropical Turneraceae
The Neotropical country where the Turneraceae are best represented is Brazil; 82% of the American species are native, and 73% of them are endemic to this country. The most diverse states are Bahia,Expand
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Machine learning applied to the prediction of citrus production
An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agriculturalExpand
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