Spatial variability of the phosphorus and granulometric fractions of a red-yellow
            oxiso

Silva, Samuel de Assis; Lima, Julião Soares de Souza; Souza, Gustavo Soares de; Oliveira, Rone Batista de; Silva, Alessandra Fagioli da

doi:10.5935/1806-6690.20100001

Cited by 15 publications

(8 citation statements)

References 20 publications

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“…A reduction (tendency) of the standard deviation occurred when the average piglet birth weight was used as a covariant. The criterion for choosing this parameter as a covariant was based on Silva, Lima, Souza, Oliveira, and Silva (2010). Furthermore, in the current study, the litter size at birth was highly correlated with the parameters tested.…”

Section: Ta B L Ementioning

confidence: 69%

Variability of piglet birth weights: A systematic review and meta‐analysis

Moreira

Palencia

Moita

et al. 2019

Animal Physiology Nutrition

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The objective of the study was to evaluate the effects of litter size and supplementation of functional amino acids on the piglet birth weight variability through of a systematic review and meta‐analysis. PubMed, ISI Web of Science, Science Direct, Scopus and SciELO are the main used databases and were searched in January 2019 by using the following keywords and their combinations: within‐litter birth, weight variability, piglets, litter size, sow, amino acids, gestation, uniformity, CV and/or SD. Of the 64 pre‐selected articles, only articles presenting the coefficients of variation and/or standard deviations according to the litter size and different levels of amino acid supplementation in the sow diets during gestation were selected. The average birth weights of total and live piglets were 43% lower in litters from sows with high prolificacy than those from sows with low prolificacy. The weight variability was affected by high prolificacy sows, with increases of 4.04% and 4.54% in the coefficients of variation of total and born alive piglets respectively (p = .074; p = .009). The standard deviation increased by 180 g in born alive piglets to high prolificacy sows. The coefficients of variation of total and live piglets born from high prolificacy sows showed an increase of 4.04% and 4.54% respectively (p = .07; p < .05). There was a tendency for reduced weight variability with amino acids supplementation when considering the standard deviation of total born (p = .072). However, reproductive performance was not significantly influenced (p > .05). In conclusion, the average litter weight and the number of piglets born influence weight variability. Amino acids supplementation may reduce the birth weight variability between piglets. However, this effect depends on the amino acid used, the levels of supplementation and on other factors not completely addressed in this study. Thus, more research is necessary to fully elucidate this topic.

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Section: Ta B L Ementioning

confidence: 69%

Variability of piglet birth weights: A systematic review and meta‐analysis

Moreira

Palencia

Moita

et al. 2019

Animal Physiology Nutrition

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“…According to [13], a low correlation coefficient does not nullify the hypothesis of cross semivariograms between two variables. The correlation between the Eucalyptus DBH and the CLA and TS soil fractions were negative and positive, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…It involves an unbiased linear estimator with minimum variance and takes into account the spatial variability structure found for each variable. Points near the position to be interpolated have larger weights [12,13].…”

Section: Geostatistical Analysismentioning

confidence: 99%

“…According to [13], the sampling spots located at an area whose radius is smaller or equal to its range are near and spatially dependent to one another. In this sense, these sampling spots can be used to estimate parameters of non-sampled locations.…”

Section: Geostatistical Analysismentioning

confidence: 99%

“…Only the first principal component (PC1) presented auto-value larger than 1 (3.09) and explained 77.2% of the total variance. Silva SA, et al[13] have stated that one or two PCs are usually sufficient for explaining all variation of soil properties.The correlation coefficients between the four original variables (CLA and TS) and the PC1 was -89.0% for CLA1 (0 -0.20 m), 91.0% for TS1 (0 -0.20 m), -85.0% for CLA2 (0.20 -0.40 m) and 87.0 % for TS2 (0.20 -0.40 m). The PC1 is described by the following equation: PC1 = -0.505xCLA1 + 0.517xTS1 -0.487xCLA2 -0.493xTS2.…”

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confidence: 99%

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Spatial Correlation between Eucalyptus Diameter at Breast High and Particle Size Fractions of an Oxisol

Lima¹,

Bona²,

Fiedler³

et al. 2018

JEAI

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Field growth of Eucalyptus is influenced by physical attributes of soils, which justifies comprehensive studies on these relationships within a forest system. This work was aimed at studying the spatial variability in the diameter at breast high (DBH) of Eucalyptus, trees cultivated over three years and its relationships with the particle size fractions of a Oxisol. The study was conducted on a 33.0 x 33.0 m sampling grid, totalling 94.0 georeferenced field spots. Soil samples were collected from the 0 -0.20 m and 0.20 -0.40 m depth layers to determine the particle size fractions and DBH was measured in 5.0 neighbour Eucalyptus trees, with average DBH centered at each georeferenced spot. Data were submitted to descriptive, multivariate and geostatistical analyses. Maps were built using interpolated ordinary kriging and cokriging, while principal component analysis (PCA) was performed on the clay and total sand fractions from both soil layers. The correlation coefficients between the original variables and the first principal component (PC1) were large and negative and positive in relation to the clay and total sand fractions, respectively. The primary variable DBH was successfully estimated by cokriging using the PC1 score as a secondary variable. The simple and Original Research Article

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Spatial Variability of Physical Attributes, Litter and Soil Carbon Stock in a Family Farming System in Tocantins

Santana¹,

Santos²,

Reis³

et al. 2020

Reveng

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The monitoring of soil attributes allows the evaluation of its ability to perform its functions within an agroecosystem. The objective of this work was to evaluate the spatial variability of soil physical attributes, litter and carbon stock in a family farming system in the Cerrado Tocantinense. The area is located in the southern region in the state in the municipality of Aliança do Tocantins. Four types of land use were diagnosed in the area: brachiaria pasture intercropped with stylosanthes, Andropogon pasture, orchard and native forest. The native forest was considered as a reference. The study area totaled 7.9 ha-1 in which it was distributed an irregular sample grid composed of 160 points. Deformed and undeformed samples were collected for each georeferenced point at depths of 0-10 and 10-20 cm, as well as samples to determine the litter and soil carbon stock. Data were submitted to exploratory analysis and geostatistical study. It was found that the conversion of native forest for different soil uses through orchard, brachiaria, andropogon and native forest caused spatial variability in physical attributes, litter and soil carbon stock at depths 0-10 and 10-20 cm. The orchard subarea stood out as a promising system in the accumulation of organic carbon due to cattle manure.

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Spatial variability of the phosphorus and granulometric fractions of a red-yellow oxiso

Cited by 15 publications

References 20 publications

Variability of piglet birth weights: A systematic review and meta‐analysis

Variability of piglet birth weights: A systematic review and meta‐analysis

Spatial Correlation between Eucalyptus Diameter at Breast High and Particle Size Fractions of an Oxisol

Spatial Variability of Physical Attributes, Litter and Soil Carbon Stock in a Family Farming System in Tocantins

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