2 resultados para Soils -- Boron content
em Brock University, Canada
Resumo:
The Niagara P e n i n s u l a Supports a f l o u r i s h i n g grape and wine i n d u s t r y , where much of the potassium f e r t i l i z e r a p p l i e d to the vineyard s o i l s may not show up in the f r u i t or vines but is fixed by the clay m i n e r a l s in the s o i l . Soil samples were c o l l e c t e d on a n o r t h - s o u t h l i ne through a high d e n s i t y of v i n e y a r d s and examined by x - r a y d i f f r a c t i o n to determine the r e l a t i o n s h i p of potassium with r e s p e c t to c l a y minerals p r e s e n t . The i n v e s t i g a t i o n shows the p h y l l o s i l i c a t e m i n e r a l s present t o be i l l i t e , c h l o r i t e and v e r m i c u l i t e . The v e r m i c u l i t e p r e s e n t is not t h e usual M g - v e r m i c u l i t e , but a K - v e r m i c u l i t e which can be c o n s i d e r e d as a degraded i l l i t e - - t h a t i s , an i l l i t e which has l o s t potassium i o n s . The r e s u l t i n g K - d e f i c i e n t mineral possesses a very l i m i t e d expansion l a t t i ce and is capable of c a p t u r i n g potassium ions and c o n v e r t i n g back t o the i l l i t e form. A g r i c u l t u r a l l y , t h i s causes potassium d e f i c i e n c y in p l a n t s.
Resumo:
The effects. of moisture, cation concentration, dens ity , temper~ t ure and grai n si ze on the electrical resistivity of so il s are examined using laboratory prepared soils. An i nexpen si ve method for preparing soils of different compositions was developed by mixing various size fractions i n the laboratory. Moisture and cation c oncentration are related to soil resistivity by powe r functions, whereas soil resistiv ity and temperature, density, Yo gravel, sand , sil t, and clay are related by exponential functions . A total of 1066 cases (8528 data) from all the experiments were used in a step-wise multiple linear r egression to determine the effect of each variable on soil resistivity. Six variables out of the eight variables studied account for 92.57/. of the total variance in so il resistivity with a correlation coefficient of 0.96. The other two variables (silt and gravel) did not increase the · variance. Moisture content was found to be - the most important Yo clay. variable- affecting s oil res istivi ty followed by These two variables account for 90.81Yo of the total variance in soil resistivity with a correlation ~oefficient ·.of 0 . 95. Based on these results an equation to ' ~~ed{ ct soil r esist ivi ty using moisture and Yo clay is developed . To t est the predicted equation, resistivity measurements were made on natural soils both in s i tu a nd i n the laboratory. The data show that field and laboratory measurements are comparable. The predicted regression line c losely coinciqes with resistivity data from area A and area B soils ~clayey and silty~clayey sands). Resistivity data and the predicted regression line in the case of c layey soils (clays> 40%) do not coincide, especially a t l ess than 15% moisture. The regression equation overestimates the resistivity of so i l s from area C and underestimates for area D soils. Laboratory prepared high clay soils give similar trends. The deviations are probably caused by heterogeneous distribution of mo i sture and difference in the type o f cl ays present in these soils.