Canonical Correlation between Soil Attributes and Foliar of Conilon Coffee Trees

The nutritional status of the coffee tree is influenced by the concentration of nutrients in the soil of the growing area. The objective of this work was to evaluate, using canonical correlation, the linear relationships between chemical attributes of soil and nutrients of leaf tissues in seminal coffee. The work was developed in a commercial crop located in the municipality of Cachoeiro de Itapemirim, the southern region of the state of Espírito Santo. In the crop, an irregular sampling mesh was constructed, totalling 80 georeferenced points. The canonical correlation analysis was performed considering the original data observed in two consecutive conilon coffee harvests, 2015/16 and 2016/17, to verify the associations between a (dependent) group formed by foliar nutrients (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn) and an independent group formed by soil chemical attributes (pH, Ca, Al, K, S, P, Cu, Fe, Mn and Zn). Even if nutrients are available, that is, available in a satisfactory amount in the soil, it can happen that it does not reach the leaf tissue, resulting in a deficiency for some nutrients. There was a direct relationship between the concentration of K in the leaf tissue and K in the soil in the two harvests. Other soil attributes, such as Organic Matter, Fe, Mn, and S, also influenced this relationship, showing that the soil attributes in the independent group interact together on the nutrients in the leaf tissue. There is an inverse relationship between the concentrations of K in the leaf tissue and the Mn in the soil in the two harvests, showing that the excess of Mn in the soil is influencing the K deficiency in the leaf tissue.

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COMPORTAMENTO ESPACIAL DA FUSARIOSE E DOS ATRIBUTOS DO SOLO NO CULTIVO DA PIMENTA-DO-REINO

Nativa ◽

10.31413/nativa.v6i2.4960 ◽

2018 ◽

Vol 6 (2) ◽

pp. 113

Author(s):

Carla Da Penha Simon ◽

Ana Carolina Lyra Brumat ◽

Marcelo Barreto Da Silva ◽

Bernardo Torres Olmo ◽

Edney Leandro da Vitória ◽

...

Keyword(s):

Organic Matter ◽

Soil Texture ◽

Fusarium Solani ◽

Nutrient Content ◽

Black Pepper ◽

Irregular Sampling ◽

Piper Nigrum ◽

Soil Attributes ◽

Calcium Magnesium ◽

Chemical Attributes

A pimenta-do-reino é a especiaria mais consumida no mundo e o Brasil destaca-se como um dos maiores produtores. Um dos grandes limitantes no seu cultivo é a fusariose (Fusarium solani f. sp. piperis). Objetivou-se com a realização deste estudo caracterizar a variabilidade espacial da fusariose em pimenta-do-reino, verificando a existência de relação com os atributos físicos e químicos do solo. O estudo foi desenvolvido em uma lavoura localizada no município de São Mateus-ES, na qual foi estabelecida uma malha amostral irregular com 79 pontos, abrangendo uma área de um hectare. Para a amostragem da fusariose foi realizado um levantamento, onde uma planta por ponto da malha amostral foi classificada em sadia, doente ou morta. Os atributos do solo amostrados foram: pH em H2O, matéria orgânica, cálcio, magnésio, potássio e textura do solo. Os dados foram analisados através da estatística descritiva e ferramentas da geoestatística. Os semivariogramas ajustados apresentaram uma forte dependência espacial para as variáveis intensidade da fusariose, altimetria, matéria orgânica, textura do solo, pH, cálcio, magnésio potássio (89, 94, 92, 94, 93, 91, 100 e 85 % respectivamente). Os mapas gerados indicam que não há relação da intensidade da fusariose com os atributos do solo estudados no experimento.Palavra-chave: epidemiologia, Fusarium solani f. sp. piperis, geoestatística, Piper nigrum L. SPATIAL ANALYSIS OF FUSARIOSE AND SOIL ATTRIBUTES IN THE BLACK PEPPER CULTIVATION ABSTRACT:Black pepper is the most consumed spice in the world, Brazil stands out as one of the largest producers. One of the major constraints in cultivation is fusariosis (Fusarium solani f. Piperis). The objective of this study was characterize the spatial variability of fusariosis in black pepper and verify the relationship of chemical attributes of the soil. The study was developed in a tillage located in the municipality of São Mateus - ES, which exist an irregular sampling network was established with 79 points, covering an area of one hectare. For the sampling of fusariosis intensity, the survey was performed, where one plant per point of the sample mesh was classified as healthy, symptomatic or dead. The attributes of the soil sampled were: pH in H2O, organic matter, nutrient content (calcium, magnesium, potassium) and soil texture. Data were analyzed through descriptive statistics and geostatistics tools. The adjusted semivariograms indicated a strong spatial dependence for the variables intensity of fusariosis, altimetry, organic matter, soil texture, pH, calcium, potassium magnesium (89, 94, 92, 94, 93, 91, 100 and 85%, respectively). The generated maps indicate that there is no relation between the incidence of fusariosis and the soil attributes studied in the experiment.Keywords: epidemiology, Fusarium solani f. sp. piperis, geostatistics, Piper nigrum L. DOI:

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Stem Cold Hardiness, Leaf Heat Tolerance, Growth, and Performance of Six Japanese Maples (Acer palmatum) in Northern Illinois

HortScience ◽

10.21273/hortsci.33.3.512e ◽

1998 ◽

Vol 33 (3) ◽

pp. 512e-512

Author(s):

A.M. Shirazi

Keyword(s):

Water Content ◽

Heat Tolerance ◽

Cold Hardiness ◽

Block Design ◽

Leaf Tissue ◽

Ion Leakage ◽

Randomized Block Design ◽

Leaf Tissues ◽

Artificial Freezing ◽

And Performance

Six different Japanese Maples (Acer palmatum) cultivars `Water Fall', `Burgundy Lace', `Crimson Queen', `Oshio-Beni', `SangoKaKu', and `Bloodgood' from Monrovia Nursery were planted in a randomized block design on 4 June 1997 at the The Morton Arboretum. Leaf heat tolerance was evaluated by measuring ion leakage of the leaf tissue at 25–60 °C in July, Aug., and Sept. 1997. The LT50 (the temperature at which 50% of the tissues were injured) of all the cultivars were higher in July (≈53 °C) and were lower in September (≈47 °C). Water content of the leaf tissues were higher in July compare to August and September and were not related to heat tolerance of most cultivars. Stem cold hardiness was performed by artificial freezing tests in Oct., Dec., and Feb. 1997/98. The Lowest Survival Temperature (LST) for the most hardy to least hardy cultivars in October and December were: `Burgundy Lace' (–15, –27 °C), `Bloodgood' (–18, –24 °C), `Oshio-Beni' (–15, –24 °C), `Crimson Queen' (–15, –18 °C), `Water Fall' (–9, –18 °C) and `SangoKaKu' (–9, –12 °C), respectively. Growth, dormancy development, spring budbreak and performance of these cultivars will be compared.

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Evidence that a New Antibiotic Flavone Glycoside Chemically Defends the Sea Grass Thalassia testudinumagainst Zoosporic Fungi

Applied and Environmental Microbiology ◽

10.1128/aem.64.4.1490-1496.1998 ◽

1998 ◽

Vol 64 (4) ◽

pp. 1490-1496 ◽

Cited By ~ 89

Author(s):

P. R. Jensen ◽

K. M. Jenkins ◽

D. Porter ◽

W. Fenical

Keyword(s):

Chemical Characterization ◽

Leaf Tissue ◽

Chemical Fractionation ◽

Tissue Concentrations ◽

Flavone Glycoside ◽

Sea Grass ◽

Zoosporic Fungi ◽

Leaf Tissues ◽

Marine Angiosperm

ABSTRACT Significantly fewer thraustochytrid protists (zoosporic fungi) were observed in association with healthy leaf tissue of the marine angiosperm Thalassia testudinum than in association with sterilized samples that were returned to the collection site for 48 h. In support of the hypothesis that sea grass secondary metabolites were responsible for these differences, extracts of healthyT. testudinum leaf tissues inhibited the growth of the co-occurring thraustochytrid Schizochytrium aggregatum and deterred the attachment of S. aggregatum motile zoospores to an extract-impregnated substrate. By using S. aggregatumfor bioassay-guided chemical fractionation, a new flavone glycoside was isolated and structurally characterized as luteolin 7-O-β-d-glucopyranosyl-2"-sulfate. Whole-leaf tissue concentrations of this metabolite (4 mg/ml of wet leaf tissue) inhibited S. aggregatum attachment, and a significantly lower concentration (270 μg/ml) reduced thraustochytrid growth by 50%, suggesting that natural concentrations are at least 15 times greater than that needed for significant microbiological effects. These results offer the first complete chemical characterization of a sea grass sulfated flavone glycoside and provide evidence that a secondary metabolite chemically defends T. testudinum against fouling microorganisms.

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Magnetic susceptibility for characterizing areas with different potentials for sugarcane production

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2016000900034 ◽

2016 ◽

Vol 51 (9) ◽

pp. 1349-1358 ◽

Cited By ~ 6

Author(s):

Diego Silva Siqueira ◽

José Marques Júnior ◽

Daniel De Bortoli Teixeira ◽

Sammy Sidney Rocha Matias ◽

Livia Arantes Camargo ◽

...

Keyword(s):

Magnetic Susceptibility ◽

Spatial Variability ◽

Exchange Capacity ◽

Strongly Correlated ◽

Soil Attributes ◽

Sugarcane Production ◽

Sugarcane Yield ◽

Chemical Attributes ◽

Physical And Chemical ◽

Variability Model

Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial variability map for magnetic susceptibility was strongly correlated with clay (0.83 and 0.89, respectively, for the layers) and sand contents (-0.84 and -0.88); moderately correlated with organic matter (-0.25 and -0.35), sum of bases (-0.46 and 0.37), cation exchange capacity (0.22 and 0.47), pH (-0.52 and 0.13), and POL (0.43 and 0.53); and weakly correlated with sugarcane yield (0.26 and 0.23). Magnetic susceptibility can be used to characterize the spatial variability of soil attributes and to identify areas with different potentials for sugarcane production.

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EFFECTS OF SPATIAL VARIABILITY OF SOIL CHEMICAL PARAMETERS ON TIFTON 85 GRASS YIELD1

Revista Caatinga ◽

10.1590/1983-21252020v33n125rc ◽

2020 ◽

Vol 33 (1) ◽

pp. 236-245

Author(s):

EUDOCIO RAFAEL OTAVIO DA SILVA ◽

MURILO MACHADO DE BARROS ◽

MARCOS GERVASIO PEREIRA ◽

JOÃO HENRIQUE GAIA GOMES ◽

STEPHANY DA COSTA SOARES

Keyword(s):

Decision Making ◽

Spatial Variability ◽

Dry Matter ◽

Irregular Sampling ◽

Descriptive Statistics ◽

Dry Matter Yield ◽

Chemical Parameters ◽

Tropical Pastures ◽

Chemical Attributes ◽

Soil Chemical Parameters

ABSTRACT Studies on spatial variability of soil attributes of tropical pastures gather information that can assist in decision making about managements of these soils. The objective of the present study was to evaluate the spatial variability of soil chemical attributes and their effects on grass yield of Tifton 85. The experiment was carried out in an area of 3.91 ha at the Feno Rio Farm of the Federal Rural University of Rio de Janeiro, Seropédica, RJ, Brazil. Soils of the 0-0.20 and 0.20-0.40 m layers were sampled considering an irregular sampling mesh, making a total of 50 georeferenced points. The parameters evaluated were: the soil chemical attributes pH, Al+3, Ca+2, Mg+2, Na+, K+, P, H+Al, and total organic carbon (TOC); and the Tifton 85 dry matter yield (DMY). The results of these parameters were subjected to descriptive statistics, linear correlation, and geostatistics, and maps were developed for the analyses. Regions with grass yields different from the general mean were found in the area, which presented mean grass yield of 2248 kg ha-1. The soil chemical parameters Na+, Ca+2, TOC, and H+Al were significantly correlated with DMY, confirming that they are important and affect the Tifton 85 grass yield. The mapping of the Tifton 85 cycle is important for understanding the variability of DMY. The investigation of areas with different productive potentials should be followed by development of maps of soil chemical attributes to correlate and understand the ratios that may be involved with these variations.

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Sparse semiparametric canonical correlation analysis for data of mixed types

Biometrika ◽

10.1093/biomet/asaa007 ◽

2020 ◽

Vol 107 (3) ◽

pp. 609-625 ◽

Cited By ~ 1

Author(s):

Grace Yoon ◽

Raymond J Carroll ◽

Irina Gaynanova

Keyword(s):

Correlation Analysis ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Mixed Data ◽

Gaussian Copula ◽

Breast Cancer Patients ◽

Data Types ◽

Semiparametric Approach ◽

Linear Relationships ◽

Correlation Analysis Method

Summary Canonical correlation analysis investigates linear relationships between two sets of variables, but it often works poorly on modern datasets because of high dimensionality and mixed data types such as continuous, binary and zero-inflated. To overcome these challenges, we propose a semiparametric approach to sparse canonical correlation analysis based on the Gaussian copula. The main result of this paper is a truncated latent Gaussian copula model for data with excess zeros, which allows us to derive a rank-based estimator of the latent correlation matrix for mixed variable types without estimation of marginal transformation functions. The resulting canonical correlation analysis method works well in high-dimensional settings, as demonstrated via numerical studies, and when applied to the analysis of association between gene expression and microRNA data from breast cancer patients.

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Spatial and multivariate analysis of soybean productivity and soil physical-chemical attributes

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v23n6p446-453 ◽

2019 ◽

Vol 23 (6) ◽

pp. 446-453

Author(s):

Ricardo N. Buss ◽

Raimunda A. Silva ◽

Glécio M. Siqueira ◽

Jairo O. R. Leiva ◽

Osmann C. C. Oliveira ◽

...

Keyword(s):

Spatial Variability ◽

Carbon Stock ◽

Management Strategies ◽

Covariance Structure ◽

Principal Component ◽

Spherical Model ◽

Soybean Yield ◽

Soil Attributes ◽

Physical Attributes ◽

Chemical Attributes

ABSTRACT The objective of this study was to evaluate the spatial variability of soybean yield, carbon stock, and soil physical attributes using multivariate and geostatistical techniques. The attributes were determined in Oxisols samples with clayey and cohesive textures collected from the municipality of Mata Roma, Maranhão state, Brazil. In the study area, 70 sampling points were demarcated, and soybean yield and soil attributes were evaluated at soil depths of 0-0.20 and 0.20-0.40 m. Data were analysed using multivariate analyses (principal component analysis, PCA) and geostatistical tools. The mean soybean yield was 3,370 kg ha-1. The semivariogram of productivity, organic carbon (OC), and carbon stock (Cst) at the 0-0.20 m layer were adjusted to the spherical model. The PCA explained 73.21% of the variance and covariance structure between productivity and soil attributes at the 0-0.20 m layer [(PCA 1 (26.89%), PCA 2 (24.10%), and PCA 3 (22.22%)] and 68.64% at the 0.20-0.40 m layer [PCA 1 (31.95%), PCA 2 (22.83%), and PCA 3 (13.85%)]. The spatial variability maps of the PCA eigenvalue scores showed that it is possible to determine management zones using PCA 1 in the two studied depths; however, with different management strategies for each of the layers in this study.

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Assessing soil-quality indices for subtropical rice-based cropping systems in India

Soil Research ◽

10.1071/sr14245 ◽

2016 ◽

Vol 54 (1) ◽

pp. 20 ◽

Cited By ~ 18

Author(s):

Nirmalendu Basak ◽

Ashim Datta ◽

Tarik Mitran ◽

Satadeep Singha Roy ◽

Bholanath Saha ◽

...

Keyword(s):

Soil Quality ◽

Cropping Systems ◽

Principal Component ◽

Exchange Capacity ◽

Microbial Biomass C ◽

Organic C ◽

Soil Attributes ◽

Labile C ◽

Chemical Attributes ◽

Minimum Dataset

Rice-based cropping systems are the foundation of food security in countries of Southeast Asia, but productivity of such systems has declined with deterioration in soil quality. These systems are different from other arable systems because rice is grown under submergence, and this may require a different set of key soil attributes for maintenances of quality and productivity. A minimum dataset was screened for assessing quality of soils belonging to three Soil Orders (Inceptisols, Entisols and Alfisols) by using statistical and mathematical models and 27 physical, chemical and biological attributes. Surface soils were collected from farmers’ fields under long-term cultivation of rice–potato–sesame cropping systems. Most of the attributes varied significantly among the Soil Orders used. Four or five key attributes were screened for each Soil Order through principal component and discriminate analysis, and these explained nearly 80% and 90% of the total variation in each Soil Order dataset. The attributes were dehydrogenase activity (DHA), available K, cation exchange capacity (CEC) and pHCa for Inceptisols; organic C, pHCa, bulk density, nitrogen mineralisation (Nmin) and β-glucosidase for Entisols; and DHA, very labile C, Nmin and microbial biomass C for Alfisols. Representation of the screened attributes was validated against the equivalent rice yield of the studied system. Among the selected key soil attributes, DHA and CEC for Inceptisols, organic C for Entisols, and Nmin and very labile C for Alfisols were most strongly correlated with system yield (R2 = 0.45, 0.77 and 0.78). Results also showed that biological and chemical attributes were most sensitive for indicating the differences in soil quality and have a strong influence on system yield, whereas soil physical attributes largely varied but did not predict system yield.

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Soil attributes and biomass yield from Pinus caribaea var. Hondurensis

CERNE ◽

10.1590/s0104-77602011000200004 ◽

2011 ◽

Vol 17 (2) ◽

pp. 181-187 ◽

Cited By ~ 4

Author(s):

Robson Schaff Corrêa ◽

Antônio Francisco Jurado Bellote

Keyword(s):

Biomass Yield ◽

Pearson Correlation ◽

Growth Patterns ◽

Pinus Caribaea ◽

Yield Data ◽

Soil Attributes ◽

Silvicultural Practice ◽

Biomass Yields ◽

Physical Attributes ◽

Chemical Attributes

Biomass yield from Pinus caribaea var. hondurensis is conditional on soil attributes. With the silvicultural practice currently being used in Brazil, Pinus stands might produce lower yields due to nutrient shift from harvest and due to changes in the edaphic environment from mechanization. Therefore, this study aims to evaluate chemical and physical soil attributes and determine which are correlated with higher biomass yields. Four commercial stands were selected, with differing growth patterns, each having four trees selected from the dominant layer, in addition to soil samples for chemical and physical analyses. Soil attributes and biomass yield data were submitted to analysis of variance (ANOVA), means were compared by the Tukey test, and the Pearson correlation coefficient was determined. Chemical attributes directly or indirectly associated with the sum of bases and physical attributes associated with water availability were found to be related to biomass yield.

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Diversification within grapevine cultivars goes through chimeric states

Genome ◽

10.1139/g04-006 ◽

2004 ◽

Vol 47 (3) ◽

pp. 579-589 ◽

Cited By ~ 87

Author(s):

S Hocquigny ◽

F Pelsy ◽

V Dumas ◽

S Kindt ◽

M-C Heloir ◽

...

Keyword(s):

Vitis Vinifera ◽

Diploid Species ◽

Leaf Tissue ◽

Pinot Noir ◽

Vitis Vinifera L ◽

Cell Layers ◽

Self Fertilization ◽

Leaf Tissues ◽

Root Tissues ◽

L1 And L2

Vitis vinifera 'Pinot' clones were analysed at 50 microsatellite loci to assess intravarietal genetic diversity. When analysing leaf tissue DNAs, polymorphism mainly resulted from the appearance of a third allele when two were expected for heterozygous loci in a diploid species. The sequencing of the three microsatellite alleles at two loci has confirmed their simultaneous presence in the leaf tissues. A hypothesis explaining the triallelic profiles at a locus is the presence of a periclinal chimera meristem structure, in which genetically different cell layers coexist. The periclinal chimeric state of two Vitis vinifera 'Pinot gris' clones was confirmed by splitting and analysing the genotypes resulting from L1 and L2 cell layers in progeny derived from self-fertilization, in root tissues, and in plants regenerated from somatic embryogenesis. Prevalence of chimerism in polymorphic clones observed in a collection of 145 accessions belonging to 'Pinot gris', 'Pinot noir', Pinot blanc', 'Pinot meunier', and 'Pinot moure' cultivars was demonstrated. The accumulation of somatic mutations and cell layer rearrangements allowed us to deduce the relationships between the various genotypes and to open a way for understanding the diversification process and the phylogeny in the 'Pinot' group.Key words: microsatellite, diversity, somatic mutation, chimerism, Vitis vinifera L., 'Pinot'.

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