Productores agropecuarios, pampa ondulada y problemáticas edáficas. Un estudio de caso en el noreste bonaerense

El carácter de la heterogeneidad social, económica y productiva de la agriculturización se evidencia en los diversos tipos de productores existentes en la pampa húmeda. La agriculturización se asocia a modificaciones en la calidad de las tierras, en la estructura socio-productiva, en las estrategias productivas aplicadas y en las formas de uso del suelo. Suele plantearse sin embargo que las problemáticas edáficas asociadas a dicha agriculturización, son consecuencia de la aplicación de paquetes tecnológicos relativamente homogéneos, independientemente de los diferentes tipos de productores que los llevan a cabo. Nuestra hipótesis consiste en cambio, en que el deterioro en Argiudoles típicos pampeanos es el resultado, dadas distintas posiciones del relieve, de complejas combinaciones de diversas estrategias productivas adoptadas por diferentes tipos de productores. En el partido de Luján tipificamos los productores tomando en consideración sus niveles de capitalización (capitalizados y no capitalizados) y su organización del trabajo (familiar y no familiar). Definimos cinco estrategias productivas (4 agrícolas -con uno o dos cultivos por año, con siembra directa o labranza convencional- y 1 ganadera) y dos ambientes (loma y bajo). A partir del catastro municipal aplicamos una encuesta a una muestra estratificada estadísticamente representativa, por ubicación y tamaño de lotes. Sobre la misma realizamos el muestreo que nos permitió analizar los siguientes parámetros: profundidad del horizonte, densidad aparente, materia orgánica, acidez, nitrógeno, fósforo, potasio. Calculamos el contenido de materia orgánica y de nitrógeno por hectárea, y el deterioro relativo. Realizamos test de hipótesis de comparación de medias, prueba F y prueba t; y, calculamos finalmente los deterioros relativos. Utilizamos como indicador el contenido de materia orgánica por hectárea, dada su mayor sensibilidad a los cambios en las condiciones del suelo. Dos de nuestros principales hallazgos nos indican, en primer lugar, que al cultivar en lomas y con siembra directa, todos los tipos de productores presentaron los valores más bajos de deterioro relativo, excepto los familiares no capitalizados que obtienen los menores deterioros relativos con labranza convencional, aún en los bajos. Estos productores utilizan la ganadería en rotación con los cultivos como táctica de cuidado del suelo. Los empresarios capitalizados presentan los mayores valores de deterioro relativo en los bajos. Los familiares presentan menores pérdidas, cuando son capitalizados logran las mejores situaciones relativas al aplicar siembra directa en los bajos. En segundo lugar, ninguna dimensión -tipo de productor, estrategias productivas, ambientes- analizada aisladamente determina el deterioro relativo de los suelos. Pero, al mismo tiempo, ninguno puede ser descartado sino que debería ser incluido en una combinación que integre las condiciones de ambiente y las estrategias productivas de los diferentes tipos de productores que manejan los suelos.

Productores agropecuarios, pampa ondulada y problemáticas edáficas. Un estudio de caso en el noreste bonaerense

El carácter de la heterogeneidad social, económica y productiva de la agriculturización se evidencia en los diversos tipos de productores existentes en la pampa húmeda. La agriculturización se asocia a modificaciones en la calidad de las tierras, en la estructura socio-productiva, en las estrategias productivas aplicadas y en las formas de uso del suelo. Suele plantearse sin embargo que las problemáticas edáficas asociadas a dicha agriculturización, son consecuencia de la aplicación de paquetes tecnológicos relativamente homogéneos, independientemente de los diferentes tipos de productores que los llevan a cabo. Nuestra hipótesis consiste en cambio, en que el deterioro en Argiudoles típicos pampeanos es el resultado, dadas distintas posiciones del relieve, de complejas combinaciones de diversas estrategias productivas adoptadas por diferentes tipos de productores. En el partido de Luján tipificamos los productores tomando en consideración sus niveles de capitalización (capitalizados y no capitalizados) y su organización del trabajo (familiar y no familiar). Definimos cinco estrategias productivas (4 agrícolas -con uno o dos cultivos por año, con siembra directa o labranza convencional- y 1 ganadera) y dos ambientes (loma y bajo). A partir del catastro municipal aplicamos una encuesta a una muestra estratificada estadísticamente representativa, por ubicación y tamaño de lotes. Sobre la misma realizamos el muestreo que nos permitió analizar los siguientes parámetros: profundidad del horizonte, densidad aparente, materia orgánica, acidez, nitrógeno, fósforo, potasio. Calculamos el contenido de materia orgánica y de nitrógeno por hectárea, y el deterioro relativo. Realizamos test de hipótesis de comparación de medias, prueba F y prueba t; y, calculamos finalmente los deterioros relativos. Utilizamos como indicador el contenido de materia orgánica por hectárea, dada su mayor sensibilidad a los cambios en las condiciones del suelo. Dos de nuestros principales hallazgos nos indican, en primer lugar, que al cultivar en lomas y con siembra directa, todos los tipos de productores presentaron los valores más bajos de deterioro relativo, excepto los familiares no capitalizados que obtienen los menores deterioros relativos con labranza convencional, aún en los bajos. Estos productores utilizan la ganadería en rotación con los cultivos como táctica de cuidado del suelo. Los empresarios capitalizados presentan los mayores valores de deterioro relativo en los bajos. Los familiares presentan menores pérdidas, cuando son capitalizados logran las mejores situaciones relativas al aplicar siembra directa en los bajos. En segundo lugar, ninguna dimensión -tipo de productor, estrategias productivas, ambientes- analizada aisladamente determina el deterioro relativo de los suelos. Pero, al mismo tiempo, ninguno puede ser descartado sino que debería ser incluido en una combinación que integre las condiciones de ambiente y las estrategias productivas de los diferentes tipos de productores que manejan los suelos.

Productores agropecuarios, pampa ondulada y problemáticas edáficas. Un estudio de caso en el noreste bonaerense

El carácter de la heterogeneidad social, económica y productiva de la agriculturización se evidencia en los diversos tipos de productores existentes en la pampa húmeda. La agriculturización se asocia a modificaciones en la calidad de las tierras, en la estructura socio-productiva, en las estrategias productivas aplicadas y en las formas de uso del suelo. Suele plantearse sin embargo que las problemáticas edáficas asociadas a dicha agriculturización, son consecuencia de la aplicación de paquetes tecnológicos relativamente homogéneos, independientemente de los diferentes tipos de productores que los llevan a cabo. Nuestra hipótesis consiste en cambio, en que el deterioro en Argiudoles típicos pampeanos es el resultado, dadas distintas posiciones del relieve, de complejas combinaciones de diversas estrategias productivas adoptadas por diferentes tipos de productores. En el partido de Luján tipificamos los productores tomando en consideración sus niveles de capitalización (capitalizados y no capitalizados) y su organización del trabajo (familiar y no familiar). Definimos cinco estrategias productivas (4 agrícolas -con uno o dos cultivos por año, con siembra directa o labranza convencional- y 1 ganadera) y dos ambientes (loma y bajo). A partir del catastro municipal aplicamos una encuesta a una muestra estratificada estadísticamente representativa, por ubicación y tamaño de lotes. Sobre la misma realizamos el muestreo que nos permitió analizar los siguientes parámetros: profundidad del horizonte, densidad aparente, materia orgánica, acidez, nitrógeno, fósforo, potasio. Calculamos el contenido de materia orgánica y de nitrógeno por hectárea, y el deterioro relativo. Realizamos test de hipótesis de comparación de medias, prueba F y prueba t; y, calculamos finalmente los deterioros relativos. Utilizamos como indicador el contenido de materia orgánica por hectárea, dada su mayor sensibilidad a los cambios en las condiciones del suelo. Dos de nuestros principales hallazgos nos indican, en primer lugar, que al cultivar en lomas y con siembra directa, todos los tipos de productores presentaron los valores más bajos de deterioro relativo, excepto los familiares no capitalizados que obtienen los menores deterioros relativos con labranza convencional, aún en los bajos. Estos productores utilizan la ganadería en rotación con los cultivos como táctica de cuidado del suelo. Los empresarios capitalizados presentan los mayores valores de deterioro relativo en los bajos. Los familiares presentan menores pérdidas, cuando son capitalizados logran las mejores situaciones relativas al aplicar siembra directa en los bajos. En segundo lugar, ninguna dimensión -tipo de productor, estrategias productivas, ambientes- analizada aisladamente determina el deterioro relativo de los suelos. Pero, al mismo tiempo, ninguno puede ser descartado sino que debería ser incluido en una combinación que integre las condiciones de ambiente y las estrategias productivas de los diferentes tipos de productores que manejan los suelos.

Quantificação de biomassa e carbono da parte aérea em uma área de Mata Atlântica, na Serra da Cantareira, São Paulo

A atividade humana tem contribuído com as emissões de gases de efeito estufa (GEE) associadas, principalmente, com queima de combustíveis fósseis e mudanças no uso da terra. Assim, se faz necessário que sejam adotadas medidas visando o retardamento dos efeitos das mudanças climáticas. As florestas exercem papel essencial no balanço de carbono principalmente por funcionarem como sumidouros de CO2. Por outro lado, se desmatadas, promovem emissões e liberam parte do carbono estocado. A quantidade de biomassa florestal e o teor de carbono podem variar em função do tipo florestal, bem como de sua localização. Entretanto, fator importante diz respeito à confiabilidade dos dados mensurados neste tipo de pesquisa. A biomassa e o carbono da parte aérea podem ser determinados via método destrutivo, ou estimados via método não destrutivo. A construção do Rodoanel Mário Covas trecho norte e a supressão de uma área de Mata Atlântica possibilitou a realização de estudo de biomassa da parte aérea via método destrutivo. O objetivo deste trabalho foi estudar o tamanho e forma de parcelas, a intensidade amostral, quantificar a biomassa e o carbono na parte aérea, comparar métodos destrutivos e não destrutivos para a quantificação de biomassa e carbono na parte aérea, estudar a variação da densidade básica da madeira das espécies nas diferentes classes de DAP e grupos sucessionais e comparar as medidas de altura total e DAP obtidas a campo no inventário com as medidas coletadas após o corte. O tamanho mais conveniente de parcela foi 400 m 2, com forma retangular e dimensão de 10 x 40 m. A intensidade amostral variou entre 39 e 75 unidades amostrais. A biomassa da parte aérea obtida, via método destrutivo, foi de 188,3 Mg ha-1 e o carbono, 85,1 Mg ha-1. A biomassa estimada por equações alométricas da literatura foi subestimada, quando comparada ao valor real, obtido via método destrutivo. As menores classes de DAP apresentaram as maiores densidades básicas da madeira. A densidade básica foi 0,488 g cm-3 na média das espécies. A porcentagem de carbono contida nos troncos e galhos não diferiu entre as classes de DAP. O teor de carbono foi 45,41%, na média dos troncos e galhos. Espécies pioneiras acumularam maior quantidade de biomassa e carbono nos galhos e apresentaram maior densidade básica que as não pioneiras. A utilização dos dados coletados na fase de inventário e após o corte não afetaram os valores de biomassa estimados.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2010)

This data set contains aboveground plant biomass in 2010 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2010 plot size was reduced to 1 x 1 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2010 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 1 rectangle of 0.2 x 0.5 m per plot. The location of this rectangle was in the center of the plot area. The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2008)

This data set contains aboveground plant biomass in 2008 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2008 plot size was reduced to 2.5 x 2.5 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2008 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2009)

This data set contains aboveground plant biomass in 2009 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2008 plot size was reduced to 2.5 x 2.5 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2009 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was in the center of the plot area. The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Some solutions to obtain very efficient separations in isocratic and gradient modes using small particles size and ultra-high pressure.

The UHPLC strategy which combines sub-2 microm porous particles and ultra-high pressure (>1000 bar) was investigated considering very high resolution criteria in both isocratic and gradient modes, with mobile phase temperatures between 30 and 90 degrees C. In isocratic mode, experimental conditions to reach the maximal efficiency were determined using the kinetic plot representation for DeltaP(max)=1000 bar. It has been first confirmed that the molecular weight of the compounds (MW) was a critical parameter which should be considered in the construction of such curves. With a MW around 1000 g mol(-1), efficiencies as high as 300,000 plates could be theoretically attained using UHPLC at 30 degrees C. By limiting the column length to 450 mm, the maximal plate count was around 100,000. In gradient mode, the longest column does not provide the maximal peak capacity for a given analysis time in UHPLC. This was attributed to the fact that peak capacity is not only related to the plate number but also to column dead time. Therefore, a compromise should be found and a 150 mm column should be preferentially selected for gradient lengths up to 60 min at 30 degrees C, while the columns coupled in series (3x 150 mm) were attractive only for t(grad)>250 min. Compared to 30 degrees C, peak capacities were increased by about 20-30% for a constant gradient length at 90 degrees C and gradient time decreased by 2-fold for an identical peak capacity.

Cell size in trays for the production of strawberry plug transplants

The objective of this work was to evaluate the influence of cell sizes used for strawberry plug production in trays compared to bare root transplants, regarding initial plant size, harvest timing, and total strawberry fruit yield. Plug transplants were produced from runner tips rooted in trays with cell sizes of 26.5, 50, 100 and 150 cm³ filled with Plantmax HA organic substrate. Bare root transplants (control) were produced in a closed soilless system using sand as substrate. A randomized block design was used, with four replicates with 16 plants per plot. Bare root transplants and plug transplants from 100-cm³ cells had larger crown and higher leaf and root dry mass. Early fruit yield was higher in plants propagated from plugs than in those propagated from bare root transplants. Spring and total fruit yield did not differ among treatments, with an average yield of 435 and 874 g per plant, respectively. Earlier strawberry fruit yield was obtained by using plug transplants, even from trays with small cells of 26.5 or 50 cm³.

Sample size for full-sib family evaluation in sugarcane

The objective of this study was to determine the minimum number of plants per plot that must be sampled in experiments with sugarcane (Saccharum officinarum) full-sib families in order to provide an effective estimation of genetic and phenotypic parameters of yield-related traits. The data were collected in a randomized complete block design with 18 sugarcane full-sib families and 6 replicates, with 20 plants per plot. The sample size was determined using resampling techniques with replacement, followed by an estimation of genetic and phenotypic parameters. Sample-size estimates varied according to the evaluated parameter and trait. The resampling method permits an efficient comparison of the sample-size effects on the estimation of genetic and phenotypic parameters. A sample of 16 plants per plot, or 96 individuals per family, was sufficient to obtain good estimates for all traits considered of all the characters evaluated. However, for Brix, if sample separation by trait were possible, ten plants per plot would give an efficient estimate for most of the characters evaluated.

Weed control in corn and weed sample size for growth evaluations

The objectives of this study were to evaluate baby corn yield, green corn yield, and grain yield in corn cultivar BM 3061, with weed control achieved via a combination of hoeing and intercropping with gliricidia, and determine how sample size influences weed growth evaluation accuracy. A randomized block design with ten replicates was used. The cultivar was submitted to the following treatments: A = hoeings at 20 and 40 days after corn sowing (DACS), B = hoeing at 20 DACS + gliricidia sowing after hoeing, C = gliricidia sowing together with corn sowing + hoeing at 40 DACS, D = gliricidia sowing together with corn sowing, and E = no hoeing. Gliricidia was sown at a density of 30 viable seeds m-2. After harvesting the mature ears, the area of each plot was divided into eight sampling units measuring 1.2 m² each to evaluate weed growth (above-ground dry biomass). Treatment A provided the highest baby corn, green corn, and grain yields. Treatment B did not differ from treatment A with respect to the yield values for the three products, and was equivalent to treatment C for green corn yield, but was superior to C with regard to baby corn weight and grain yield. Treatments D and E provided similar yields and were inferior to the other treatments. Therefore, treatment B is a promising one. The relation between coefficient of experimental variation (CV) and sample size (S) to evaluate growth of the above-ground part of the weeds was given by the equation CV = 37.57 S-0.15, i.e., CV decreased as S increased. The optimal sample size indicated by this equation was 4.3 m².

Use of the ratio plot in capture-recapture estimation

Statistical graphics are a fundamental, yet often overlooked, set of components in the repertoire of data analytic tools. Graphs are quick and efficient, yet simple instruments of preliminary exploration of a dataset to understand its structure and to provide insight into influential aspects of inference such as departures from assumptions and latent patterns. In this paper, we present and assess a graphical device for choosing a method for estimating population size in capture-recapture studies of closed populations. The basic concept is derived from a homogeneous Poisson distribution where the ratios of neighboring Poisson probabilities multiplied by the value of the larger neighbor count are constant. This property extends to the zero-truncated Poisson distribution which is of fundamental importance in capture–recapture studies. In practice however, this distributional property is often violated. The graphical device developed here, the ratio plot, can be used for assessing specific departures from a Poisson distribution. For example, simple contaminations of an otherwise homogeneous Poisson model can be easily detected and a robust estimator for the population size can be suggested. Several robust estimators are developed and a simulation study is provided to give some guidance on which should be used in practice. More systematic departures can also easily be detected using the ratio plot. In this paper, the focus is on Gamma mixtures of the Poisson distribution which leads to a linear pattern (called structured heterogeneity) in the ratio plot. More generally, the paper shows that the ratio plot is monotone for arbitrary mixtures of power series densities.

Gradually truncated log-normal in USA publicly traded firm size distribution

We study the statistical distribution of firm size for USA and Brazilian publicly traded firms through the Zipf plot technique. Sale size is used to measure firm size. The Brazilian firm size distribution is given by a log-normal distribution without any adjustable parameter. However, we also need to consider different parameters of log-normal distribution for the largest firms in the distribution, which are mostly foreign firms. The log-normal distribution has to be gradually truncated after a certain critical value for USA firms. Therefore, the original hypothesis of proportional effect proposed by Gibrat is valid with some modification for very large firms. We also consider the possible mechanisms behind this distribution. (c) 2006 Published by Elsevier B.V.

Structure, diversity, and spatial patterns in a permanent plot of a high Restinga forest in Southeastern Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Bridging hydraulic diffusivity from aquifer to particle-size scale: a study on loess sediments from southwest Hungary

In situ megascale hydraulic diffusivities (D) of a confined loess aquifer were estimated at various scales (10 <= L <= 1500 m) by a finite difference model, and laboratory microscale diffusivities of a loess sample by empirical formulas. A scatter plot reveals that D fits to a single power function of L, providing that microscale diffusivities are assigned to L = 1 m and that differences in diffusivity observed between micro- and megascales are assigned to medium heterogeneity appraised by variations in the curvature and slope of natural hydraulic head waves propagating through the aquifer. Subsequently, a general power relationship between D and L is defined where the base and exponent terms stand for the aquifer storage capability under a confined regime of flow, for the microscale hydraulic conductivity and specific yield of loess, and for the changes in curvature and slope of hydraulic head waves relative to values defined at unit scale.[GRAPHICS]Editor Z.W. Kundzewicz