2006
DOI: 10.1590/s0103-90162006000200001
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Variability of water balance components in a coffee crop in Brazil

Abstract: Establishing field water balances is difficult and costly, the variability of their components being the major problem to obtain reliable results. This component variability is presented herein for a coffee crop grown in the Southern Hemisphere, on a tropical soil with 10% slope. It was observed that: rainfall has to be measured with an appropriate number of replicates; irrigation can introduce great variability into calculations; evapotranspiration, calculated as a remainder of the water balance equation, has… Show more

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Cited by 32 publications
(39 citation statements)
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“…Valores elevados de coeficiente de variação são comumente citados na literatura que aborda o estudo dos componentes do balanço de água no solo (Reichardt et al, 1993;Villagra et al, 1995;Silva et al, 2006) e refletem a variabilidade espacial natural que os solos apresentam. Villagra et al (1995) ressaltam que em períodos em que os valores de armazenagem inicial e final são semelhantes, a variação de armazenagem se aproxima de zero, e altos valores de coeficiente de variação podem ser observados.…”
Section: Resultsunclassified
“…Valores elevados de coeficiente de variação são comumente citados na literatura que aborda o estudo dos componentes do balanço de água no solo (Reichardt et al, 1993;Villagra et al, 1995;Silva et al, 2006) e refletem a variabilidade espacial natural que os solos apresentam. Villagra et al (1995) ressaltam que em períodos em que os valores de armazenagem inicial e final são semelhantes, a variação de armazenagem se aproxima de zero, e altos valores de coeficiente de variação podem ser observados.…”
Section: Resultsunclassified
“…The climatic conditions that prevailed during the experimental period (Figure 3), expressed in terms of air temperature (T air ), rainfall (P), potential crop evapotranspiration (Et c ) evaluated according to the method of Penman-Monteith (Allen et al, 1998) and actual evapotranspiration (ER) estimated from water balances (Silva et al, 2006), did not deviate very much from the long-term behavior for Piracicaba (Villa Nova, 1989). Total rainfall during the first and second years, 1,342.9 and 1,118.9 mm, respectively, were somewhat above and below the long-term average of 1,247 mm and did not induce water stress to plants during vegetative growth, fruit development and maturation.…”
Section: Resultsmentioning
confidence: 97%
“…Hence, during the first year, 68.9 % of the fertilizer N was absorbed by the plant (C 1 to C 12 ) which represents a very high fertilizer use efficiency, due mainly to: (1) appropriate timing of fertilizer, applied before the coffee plant growth rate started to decrease (Fenilli et al, 2007b); (2) the mode of N fertilization, applied split in four, below the plant canopy, available to roots of the surface soil layer kept moist by the mulch; (3) the choice of ammonium sulfate as N source, with a low volatilization potential; and (4) the favorable soil-water regime throughout the year and at times of fertilizer application (Silva et al, 2006). In other situations, reports show lower recoveries, e.g.…”
Section: Resultsmentioning
confidence: 99%
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“…Examples of methods are traditional hand-interpolated isopleths (Burrough & McDonnell, 1998), and computational techniques involving spatial Thiessen polygon interpolators, inverse distance weighting, cubic splining, trend surface analysis, thin plate splines (Hutchinson, 1991;Lennon & Turner, 1995;Saveliev et al, 1998;Felicísimo-Pérez et al, 2001), Kriging (Dingman et al, 1988;Bigg, 1991;Philips et al, 1992) or co- Kriging (Goovaerts, 2000) are frequently used. Multiple regression analysis is another method widely used to compute the distribution of climatic variables from discrete data (Collins & Bolstad, 1996;Goodale et al, 1998;Ninyerola, 2000;Ninyerola et al, 2000;Lennon & Turner, 1995;Valeriano & Picini, 2000;Silva et al, 2006).…”
Section: Introductionmentioning
confidence: 99%