NUTRITIONAL DIAGNOSIS IN HYBRID COCONUT CULTIVATED IN NORTHEASTERN BRAZIL THROUGH DIAGNOSIS AND RECOMMENDATION INTEGRATED SYSTEM (DRIS)

ABSTRACT The assessment of the nutritional status of plants by leaf diagnosis such as the Diagnosis and Recommendation Integrated System (DRIS) has stood out among traditional methods of interpreting the results of plant tissue analysis. For coconut, nutritional monitoring through foliar analysis has been pointed as an efficient method for fertilizer recommendation, and the results have been traditionally interpreted using the critical level of sufficiency ranges criteria. The aim of this study was to evaluate the nutritional status and establish nutritional standards for the cultivation of hybrid coconut in the municipality of Moju, Pará, using DRIS. The leaf analysis and productivity results of 134 observations for the period 2001-2011 were used to form the database. The most common deficiencies found were lack of K, and possibly excess of Mg. The order of nutrient limitation was K> P> Ca> Fe> N> O> B> Zn> Cu> Mn> Mg. Ca, Fe and K nutrients are more likely to positively respond to fertilization, since Mg, Cu and Mn were diagnosed as having the greatest likelihood of negative response to fertilization. It was also found that N and P are elements that are in the best nutritional balance condition. Regression equations for the relationship between nutrient content in hybrid coconut leaves and its DRIS indexes were adjusted, which allowed establishing nutrient reference values based on DRIS.

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Estimation of Diagnosis and Recommendation Integrated System (DRIS), Compositional Nutrient Diagnosis (CND) and Range of Normality (RN) Norms for Mineral Diagnosis of Almonds Trees in Spain

Horticulturae ◽

10.3390/horticulturae7110481 ◽

2021 ◽

Vol 7 (11) ◽

pp. 481

Author(s):

Mario Ferrández-Cámara ◽

Juan José Martínez-Nicolás ◽

Marina Alfosea-Simón ◽

José María Cámara-Zapata ◽

Pablo Melgarejo Moreno ◽

...

Keyword(s):

Nutrient Content ◽

Analysis Data ◽

Prunus Dulcis ◽

Integrated System ◽

Leaf Analysis ◽

Almond Trees ◽

Mineral Data ◽

Optimum Period ◽

The Relationship

To ensure good fertilization, it is necessary to know the optimum nutrient levels for each crop. The most common method for obtaining this information for almond trees is to perform a foliar analysis coupled with the use of interpretive tools such as the traditional range of normality. However, currently, there are other, more sophisticated methods such as the DRIS (Diagnosis and Recommendation Integrated System) and the CND (Compositional Nutrient Diagnosis) which take into account the relationship between nutrients. However, little information is available with respect to these methods in the case of almond trees. In the present work, 288 samples of three contrasting varieties of almond were analyzed—Ferraduel, Ferragnes, and Garrigues (Prunus dulcis, Mill.)—corresponding to bi-weekly sampling between the months of May and September. Leaf analysis data, run with different mathematical and statistical models, lead to knowledge of the optimum period for harvesting samples and the determination of the ranges of normality and norms of DRIS and CND for the Ferraduel, Ferragnes, and Garrigues varieties. Data gained from the leaf nutrient content reported that the best season to harvest and interpret leaf samples was July. In addition, Ferraduel and Ferragnes had higher N, P, and K (2.22, 0.14, and 1.04 mg Kg−1 dw, respectively) than Garrigues (2.00, 0.09. 0.67 mg Kg−1 dw). The norms obtained with the leaf mineral data showed similar values between the Ferraduel and Ferragnes varieties but different values for Garrigues variety. Therefore, Garriges had the highest N/P, N/K, P/K, and P × Mg norms in the DRIS method and the highest VN and VCa norms in the CND method.

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Interaction Between Oryctes Rhinoceros and Leaves’ Nutrient Content in Oil Palm

JOURNAL OF ADVANCES IN AGRICULTURE ◽

10.24297/jaa.v8i1.7585 ◽

2018 ◽

Vol 8 ◽

pp. 1408-1414

Author(s):

Mohd Rasdi Zaini ◽

Nurul Farahana Hazira Hazlee ◽

Fathul Nabila Abdul Karim

Keyword(s):

Oil Palm ◽

Negative Relationship ◽

Nutrient Status ◽

Nutrient Content ◽

Oryctes Rhinoceros ◽

Leaf Analysis ◽

Palm Trees ◽

Strong Positive Relationship ◽

Nutrients Uptake ◽

The Relationship

A study meant to evaluate the relationship between the presence of Oryctes rhinoceros to the oil palm in relation to the leaves’ nutrient content which is Phosphorus (P) and Potassium (K). Appropriate fertilization is one of the methods that can help to suppress the pests’ presence in the field. In general, insects’ pests are attracted to the plants that are supplied with excess supply of nutrient as it can help them to develop better in future as these nutrient play their roles in aiding through growths and insects’ fecundity. Data on nutrient status were collected were Phosphorus (P), Potassium (K), Calcium (Ca), Magnesium (Mg), Copper (Cu) and Zinc (Zn). These data had been collected twice per month which were at the middle and at the end of each month. Four samples of leaves were taken from four sampling oil palm trees of each treatment. Leaves from ninth or seventeenth fronds were chosen as it is the best most ideal fronds to be used for leaf analysis to identify the nutrient content. The result of this study showed that Phosphorus (P) exerted a strong positive relationship with the presence of Oryctes rhinoceros in the oil palm while Potassium (K) showed a strong negative relationship between the two variables. Thus, developing awareness to the growers to this nutrients-balancing issue would be good for future agriculture in future as it is clear now that balanced nutrition is primordial to ensure availability of nutrients uptake by plants.

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Efficiency of the CL, DRIS and CND Methods in Assessing the Nutritional Status of Eucalyptus spp. Rooted Cuttings

Forests ◽

10.3390/f10090786 ◽

2019 ◽

Vol 10 (9) ◽

pp. 786 ◽

Cited By ~ 4

Author(s):

Thaís Chagas Barros de Morais ◽

Renato de Mello Prado ◽

Edilaine Istefani Franklin Traspadini ◽

Paulo Guilherme Salvador Wadt ◽

Rinaldo César de Paula ◽

...

Keyword(s):

Nutritional Status ◽

Nutrient Content ◽

Integrated System ◽

Diagnostic Methods ◽

Efficiency Ratio ◽

Rooted Cuttings ◽

Whole Plant ◽

Environmental Variations ◽

Total Accuracy

The efficiency of methods in adequately interpreting the nutritional status of Eucalyptus spp. rooted cuttings remains unknown. The aim was to evaluate the quality of diagnoses obtained using the critical level (CL), diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods to assess the nutritional status of Eucalyptus spp. rooted cuttings, based on two different yield indicators. The data were obtained from commercial nursery and calibration experiments, using seven nutrients as treatments (N, P, K, Mg, Ca, B and Fe) and four concentrations per nutrient, arranged in randomized blocks, with four repetitions. The Eucalyptus spp. clone used in the experiments was AEC 0144. A total of 222 rooted cuttings were obtained from the experimental area and commercial nurseries and the following were determined: leaf nutrient content, whole plant dry matter (DM) content and the Dickson quality index (DQI). Diagnostic accuracy in the experimental plots was ascertained by comparing the diagnosis with plant response as a function of adding the corresponding nutrient. Five measures of accuracy were used to test the efficiency of the diagnostic methods: total accuracy, accuracy for deficiency and sufficiency, deficiency ratio, efficiency ratio, and the net increase in in DM and DQI. The performance of diagnostic methods varied between CL, DRIS and CND, and among the nutrients studied. Given that the seedling production system is largely more controlled, where environmental variations are minimal, and considering that the different diagnostic methods exhibited distinct performance in terms of assessing the true nutritional status of eucalyptus rooted cuttings, the CL method is the most indicated for this situation, due to its better performance in evaluating the nutritional status of most nutrients and easy implementation.

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Beaufils ranges to assess the cotton nutrient status in the southern region of Mato Grosso

Revista Brasileira de Ciência do Solo ◽

10.1590/s0100-06832012000100018 ◽

2012 ◽

Vol 36 (1) ◽

pp. 171-182 ◽

Cited By ~ 11

Author(s):

Ademar Pereira Serra ◽

Marlene Estevão Marchetti ◽

Enrique Pouyú Rojas ◽

Antônio Carlos Tadeu Vitorino

Keyword(s):

Nutritional Status ◽

Nutrient Status ◽

Reference Population ◽

Integrated System ◽

Nutrient Concentrations ◽

Yield Data ◽

Mato Grosso ◽

Nutrient Contents ◽

Foliar Concentrations ◽

The Relationship

The relationships between nutrient contents and indices of the Diagnosis and Recommendation Integrated System (DRIS) are a useful basis to determine appropriate ranges for the interpretation of leaf nutrient contents. The purpose of this study was to establish Beaufils ranges from statistical models of the relationship between foliar concentrations and DRIS indices, generated by two systems of DRIS norms - the F value and natural logarithm transformation - and assess the nutritional status of cotton plants, based on these Beaufils ranges. Yield data from plots (average acreage 100 ha) and foliar concentrations of macro and micronutrients of cotton (Gossypium hirsutum r. latifolium) plants, in the growing season 2004/2005, were stored in a database. The criterion to define the reference population consisted of plots with above-average yields + 0.5 standard deviation (over 4,575 kg ha-1 seed cotton yield). The best-fitting statistical model of the relationship between foliar nutrient concentrations and DRIS indices was linear, with R² > 0.8090, p < 0.01, except for N, with R² = 0.5987, p < 0.01. The two criteria were effective to diagnose the plant nutritional status. The diagnoses were not random, but based on the effectiveness of the chi-square-tested method. The agreement between the methods to assess the nutritional status was 92.59-100 %, except for S, with 74.07 % agreement.

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Quantitative Recommendation of Phosphorus Fertilizer Based On The Correlation Between Phosphorus of Plant Organs and Soil Phosphorus In Washington Navel Oranges

10.21203/rs.3.rs-512234/v1 ◽

2021 ◽

Author(s):

Abdolkarim Ejraei

Keyword(s):

Correlation Analysis ◽

Nutritional Status ◽

Soil Phosphorus ◽

The Other ◽

Regression Equations ◽

Phosphorus Fertilizer ◽

Soil System ◽

Plant Organs ◽

Fertilizer Recommendation ◽

Washington Navel

Abstract AimMany methods have been proposed to recommend plant nutrients, all of which are qualitative and based on the concentration of the element in the soil or leaves. But, in the "Integrated Plant and Soil System" (IPSS) method, there is a recommendation of fertilizer quantified and based on the correlation between concentration of elements in plant and soil organs. MethodsIn this study, 39 Washington Navel Oranges orchards were selected and in each orchard, three trees were chosen and sampled from roots, stems, leaves, fruit as well as the soil around the roots. Sampling was performed in late March and early May for two consecutive years and phosphorus was measured in the samples. After a correlation analysis between "soil properties and phosphorus of plant organs" with soil phosphorus, those factors that had a significant correlation with soil phosphorus were selected. And based on that, there was determined a regression model between them.ResultsAmong all the studied factors, fruit phosphorus had the highest correlation with soil phosphorus. Based on that, two regression equations were obtained by which the required phosphorus can be calculated.DiscussionsSince the physicochemical properties of each element are different from the other, so the leaf alone cannot be a good indicator to determine the nutritional status of all elements. Therefore, it is more logical that the fertilizer recommendation of each element is based on the correlation between the element in that organ of the plant that has the highest correlation with that element in the soil.

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Fertilization response likelihood for the interpretation of leaf analyses

Revista Brasileira de Ciência do Solo ◽

10.1590/s0100-06832012000200013 ◽

2012 ◽

Vol 36 (2) ◽

pp. 437-445 ◽

Cited By ~ 1

Author(s):

Celsemy Eleutério Maia

Keyword(s):

Nutritional Status ◽

Normal Distribution ◽

Integrated System ◽

High Yield ◽

Nutrient Concentrations ◽

Correct Interpretation ◽

Leaf Analysis ◽

Chemical Evaluation ◽

Effective Use

Leaf analysis is the chemical evaluation of the nutritional status where the nutrient concentrations found in the tissue reflect the nutritional status of the plants. Thus, a correct interpretation of the results of leaf analysis is fundamental for an effective use of this tool. The purpose of this study was to propose and compare the method of Fertilization Response Likelihood (FRL) for interpretation of leaf analysis with that of the Diagnosis and Recommendation Integrated System (DRIS). The database consisted of 157 analyses of the N, P, K, Ca, Mg, S, Cu, Fe, Mn, Zn, and B concentrations in coffee leaves, which were divided into two groups: low yield (< 30 bags ha-1) and high yield (> 30 bags ha-1). The DRIS indices were calculated using the method proposed by Jones (1981). The fertilization response likelihood was computed based on the approximation of normal distribution. It was found that the Fertilization Response Likelihood (FRL) allowed an evaluation of the nutritional status of coffee trees, coinciding with the DRIS-based diagnoses in 84.96 % of the crops.

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Influence of rootstock on nutrient content in grape petioles

Revista Brasileira de Fruticultura ◽

10.1590/s0100-29452011005000092 ◽

2011 ◽

Vol 33 (3) ◽

pp. 941-947 ◽

Cited By ~ 9

Author(s):

Marco Antonio Dalbó ◽

Enio Schuck ◽

Clori Basso

Keyword(s):

Genetic Diversity ◽

Nutritional Status ◽

Nutrient Status ◽

Nutrient Content ◽

The Other ◽

Fertilizer Recommendation ◽

P Content ◽

Soil Liming ◽

Mg Content ◽

Niagara Rosada

Genetic diversity of rootstocks can affect nutrient uptake and the nutrient status of grapevines. The rootstock influence on nutrient content in grape petioles was evaluated on three rootstocks competition experiments carried out at Vale do Rio do Peixe region, in the state of Santa Catarina, Brazil, with the cultivars Niagara Rosada, Concord, and Isabella, grafted on different rootstocks. Two soil liming depths were also evaluated in the Isabella experiment. The greatest rootstock effect was observed on K and Mg content and K/Mg ratio in the petioles. The Vitis vinifera x V. rotundifolia hybrid rootstocks VR 043-43 and VR 044-4 provided the highest K/Mg values and self rooted Isabella the lowest K/Mg ratio. The other tested rootstocks resulted in intermediate values. There was also significant effect on P content, but only in Niagara Rosada and Concord experiments. The depth of soil liming did not significantly affect K and Mg content in the Isabella experiment. The results indicate that rootstock must be considered for nutritional status evaluation and fertilizer recommendation regarding to K and Mg.

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The Relationship between Nutritional Knowledge and Attitudes toward Food Intake and Nutritional Status of People with HIVAIDS

10.36295/asro.2019.221129 ◽

2019 ◽

Vol 22 (11) ◽

pp. 213-223

Author(s):

Meirina Dwi Larasati ◽

Nurul Dwi Anggriyani ◽

Susi Tursilowati ◽

Ria Ambarwati ◽

Yuniarti Yuniarti

Keyword(s):

Food Intake ◽

Nutritional Status ◽

Nutritional Knowledge ◽

Knowledge And Attitudes ◽

The Relationship

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THE MODEL FOR MANAGING INVESTMENTS IN THE MOSCOW ENVIRONMENT BASED ON A POWER REGRESSION EQUATION

EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA ◽

10.36871/ek.up.p.r.2020.07.02.012 ◽

2020 ◽

Vol 2 (7) ◽

pp. 91-99

Author(s):

E. V. KOSTYRIN ◽

◽

M. S. SINODSKAYA ◽

Keyword(s):

Solid Waste ◽

Influencing Factors ◽

Pair Correlation ◽

Approximation Error ◽

Regression Equation ◽

Regression Equations ◽

The Impact ◽

The Relationship ◽

Average Approximation ◽

Average Approximation Error

The article analyzes the impact of certain factors on the volume of investments in the environment. Regression equations describing the relationship between the volume of investment in the environment and each of the influencing factors are constructed, the coefficients of the Pearson pair correlation between the dependent variable and the influencing factors, as well as pairwise between the influencing factors, are calculated. The average approximation error for each regression equation is determined. A correlation matrix is constructed and a conclusion is made. The developed econometric model is implemented in the program of separate collection of municipal solid waste (MSW) in Moscow. The efficiency of the model of investment management in the environment is evaluated on the example of the growth of planned investments in the activities of companies specializing in the export and processing of solid waste.

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Sodium Metasilicate Cemented Analogue Material and Its Mechanical Properties

Advances in Materials Science and Engineering ◽

10.1155/2016/3716145 ◽

2016 ◽

Vol 2016 ◽

pp. 1-17 ◽

Cited By ~ 2

Author(s):

Songlin Yue ◽

Yanyu Qiu ◽

Pengxian Fan ◽

Pin Zhang ◽

Ning Zhang

Keyword(s):

Complex Geometry ◽

Sodium Metasilicate ◽

Raw Material ◽

Fine Aggregate ◽

Regression Equations ◽

Deformation And Failure ◽

Orthogonal Experiments ◽

Low Modulus ◽

New Type ◽

The Relationship

Analogue material with appropriate properties is of great importance to the reliability of geomechanical model test, which is one of the mostly used approaches in field of geotechnical research. In this paper, a new type of analogue material is developed, which is composed of coarse aggregate (quartz sand and/or barite sand), fine aggregate (barite powder), and cementitious material (anhydrous sodium silicate). The components of each raw material are the key influencing factors, which significantly affect the physical and mechanical parameters of analogue materials. In order to establish the relationship between parameters and factors, the material properties including density, Young’s modulus, uniaxial compressive strength, and tensile strength were investigated by a series of orthogonal experiments with hundreds of samples. By orthogonal regression analysis, the regression equations of each parameter were obtained based on experimental data, which can predict the properties of the developed analogue materials according to proportions. The experiments and applications indicate that sodium metasilicate cemented analogue material is a type of low-strength and low-modulus material with designable density, which is insensitive to humidity and temperature and satisfies mechanical scaling criteria for weak rock or soft geological materials. Moreover, the developed material can be easily cast into structures with complex geometry shapes and simulate the deformation and failure processes of prototype rocks.

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