scholarly journals 216 COMPARISON OF CELERY TRANSPLANTS NUTRIENT DEFICIENCY DIAGNOSIS BY MEANS OF DRIS OR CND METHODS

HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 460d-460 ◽  
Author(s):  
Nicolas Tremblay ◽  
Léon-Étienne Parent
Keyword(s):  
Plant Species ◽  
Nutrient Deficiency ◽  
Data Bank ◽  
Integrated System ◽  
Apium Graveolens ◽  
Nutrient Deficiencies ◽  
Validation Process ◽  
Balanced Fertilization ◽  
Nutritional Balance

Celery (Apium graveolens var. Dulce) is a species particularly sensitive to nutritional balance. Seedlings in multicellular trays sometimes present problems that can be traced to nutritional causes. DRIS (Diagnosis and Recommendation Integrated System) and CND (Compositional Nutrient Diagnosis) are two recent concepts that can be implemented to diagnose nutritional imbalances from tissue analyses of any plant species. A data bank of 215 observations was used to elaborate DRIS and CND norms for celery transplants. The threshold yield for high yielders was set at 1600 g/plant (27% of the population). Both DRIS and CND systems were implemented and a validation process was undertaken. Nutrient deficiencies (N, P, K, Ca, Mg, Fe, B and Zn) were induced on celery seedlings in growing chambers. Tissues samples were given a balanced fertilization. The diagnosing methods (DRIS and CND) were compared on the basis of their ability to identify correctly the induced nutrient deficiencies.

scholarly journals Nutrtional profile of some selected food plants of Otwal and Ngai sub counties Oyam district, northern Uganda

2013 ◽  
Vol 13 (57) ◽  
pp. 7428-7451
Author(s):  
A Acipa ◽  
◽  
M Kamatenesi-Mugisha ◽  
H Oryem-Origa
Keyword(s):  
Plant Species ◽  
Food Plant ◽  
Food Plants ◽  
Wild Plants ◽  
Mineral Nutrient ◽  
Wild Food ◽  
Wild Food Plants ◽  
Nutrient Deficiencies ◽  
Indigenous Plants ◽  
General Decline

Wild food plants play an important role in the diet of inhabitants of Oyam District. Some of these plants are drought -resistant and gathered throughout the year . These wild foods are an important source of nutrients. However, there is a lack of comprehensive data re garding the nutrient content s of these indigenous plants. The purpose of this study was to document and assess the nutrient and mineral content s of the selected food plants. Ethnobotanical surveys were used to collect data through formal and informal inter views and focused group discussions. Voucher specimens were collected during field excursions and taken to Makerere Herbarium for proper identification . Nutrients and mineral analyses of wild and cultivated fruits, seeds, underground organs and vegetables from Ngai and Otwal sub counties were carried out using known procedures. They were analysed for mineral nutrients such as calcium, iron, potassium, and phosphorus concentrations. Additionally nutrients such proteins, beta carotene, vitamin C and dietary fibre were determined . On average, vegetables were found to be richer in organic nutrients and minerals followed by fruits and seeds in that order . Generally the wild food plant species were found to be richer sources of mineral nutrient than their cultivated relatives. F or example , the highest concentration of calcium 867.59 mg/100g was found in Acalypha bipartita leaves compared to 294.18 mg/100g in Cleome gynandra . Plant species that showed high iron contents [>30% ] were leaves of swamp hibiscus , African spider flowers , fruits of Tamarind , Black night shade and Jews mallow . It was also noted that among the food plant species analysed, fruits were low in nutrients and mineral elements. Some of these food plants were also considered to have medicinal properties by the locals such as African spider flower, Rattle pod among others. However, it should be noted that there is a general decline in the consumption of wild plants , despite the apparent high nutritional values . T he conservation of wild food plants is not taking place among the communities in the study area, thus the poor rural communities who are limited on balancing their diet could be faced with diseases associated with nutrient deficiencies .

scholarly journals GROWTH AND NUTRITION OF Paratecoma peroba SEEDLINGS IN DIFFERENT TUBE VOLUMES AND CONTROLLED-RELEASE FERTILIZERS

FLORESTA ◽  
2020 ◽  
Vol 50 (3) ◽  
pp. 1613
Author(s):  
Thais Arão Feletti ◽  
Emanuel França Araújo ◽  
Elzimar De Oliveira Gonçalves ◽  
Thamara Arão Feletti ◽  
Aline Ramalho Dos Santos ◽  
...  
Keyword(s):  
Controlled Release ◽  
Nutrient Balance ◽  
Mineral Fertilizer ◽  
Integrated System ◽  
Native Forest ◽  
Forest Species ◽  
Randomized Design ◽  
Growth And Nutrition ◽  
Nutritional Balance ◽  
Balance Index

Paratecoma peroba is a native forest species of great economic and ecological interest, currently at risk of extinction from selective and illegal exploitation; however, there are no established parameters for the production of seedlings of this species. The objective of this study was to analyze the growth and nutritional balance of P. peroba seedlings grown in polypropylene tubes of different sizes with variable doses of controlled-release fertilizer (CRF). Three volumes of tubes (120, 180, and 280 cm3), four CRF doses (0, 2.5, 5, and 7.5 kg m-3), and a conventional mineral fertilizer (CF) were tested as indicated in the literature for native forest species: arranged in a completely randomized design in a 3 × 5 factorial scheme, with four replicates composed of 16 seedlings. After 180 days, the percentage of survival, growth variables, indices of the diagnosis and recommendation integrated system, and the average nutrient balance index of the seedlings were analyzed. Based on the total dry matter and the mean nutritional balance index, the combination of a 280 cm³ tube with a 7.5 kg m-3 CRF dose was the most effective in the production of P. peroba seedlings.

scholarly journals A Study of Factors Influencing Plant Growth by WSN Approach and Plant Nutrient Deficiency Classification in Tomato Using SVM

2021 ◽  
Vol 23 (06) ◽  
pp. 36-46
Author(s):  
Vrunda Kusanur ◽  
◽  
Veena S Chakravarthi ◽  
Keyword(s):  
Machine Learning ◽  
Plant Growth ◽  
Nutrient Deficiency ◽  
Learning Model ◽  
Plant Nutrients ◽  
Polynomial Kernel ◽  
Second Phase ◽  
Nutrient Deficiencies ◽  
Deficiency Symptoms ◽  
Machine Learning Model

Soil temperature and humidity straight away influence plant growth and the availability of plant nutrients. In this work, we carried out experiments to identify the relationship between climatic parameters and plant nutrients. When the relative humidity was very high, deficiency symptoms were shown on plant leaves and fruits. But, recognizing and managing these plant nutrients manually would become difficult. However, no much research has been done in this field. The main objective of this research was to propose a machine learning model to manage nutrient deficiencies in the plant. There were two main phases in the proposed research. In the first phase, the humidity, temperature, and soil moisture in the greenhouse environment were collected using WSN and the influence of these parameters on the growth of plants was studied. During experimentation, it was investigated that the transpiration rate decreased significantly and the macronutrient contents in the plant leave decreased when the humidity was 95%. In the second phase, a machine learning model was developed to identify and classify nutrient deficiency symptoms in a tomato plant. A total of 880 images were collected from Bingo images to form a dataset. Among all these images, 80% (704 images) of the dataset were used to train the machine learning model and 20% (176 images) of the dataset were used for testing the model performance. In this study, we selected K-means Clustering for key points detection and SVM for classification and prediction of nutrient stress in the plant. SVM using linear kernel performed better with the accuracy rates of 89.77 % as compared to SVM using a polynomial kernel.

scholarly journals A Computer-Controlled System for Ice-Fabric Analysis on a Rigsby Stage

1988 ◽  
Vol 10 ◽  
pp. 92-94 ◽  
Author(s):  
Manfred A. Lange
Keyword(s):  
Tilt Angle ◽  
Ice Core ◽  
Data Bank ◽  
Integrated System ◽  
Controlled System ◽  
Thin Sections ◽  
Fabric Analysis ◽  
Data Files ◽  
Computer Controlled ◽  
Electronic Sensors

An integrated system for ice-fabric analysis on a Rigsby stage is described. The system consists of a regular Rigsby stage fitted with two opto-electronic sensors for assessment of azimuth and the tilt angle of each individual grain. Signals from the sensors are transmitted to a computer terminal via an interface box, which facilitates transformation of Gray-coded data to ASCII data records. The terminal is hooked up to a main-frame computer (VAX 750), where the digitized angles of the c-axis orientations of individual thin sections are stored in separate data files. These files are compatible with other already existing files containing additional ice-core data and thus become part of an extensive data bank. Appropriate software has been developed to produce, among other things, plots of c-axis orientations in a Schmidt net.

NORMS FOR MULTIVARIATE DIAGNOSIS OF NUTRIENT IMBALANCE IN ARABICA AND ROBUSTA COFFEE IN THE EAST AFRICAN HIGHLANDS

2012 ◽  
Vol 48 (3) ◽  
pp. 448-460 ◽  
Author(s):  
L. W. I. WAIREGI ◽  
P. J. A. VAN ASTEN
Keyword(s):  
Integrated System ◽  
Coefficient Of Determination ◽  
High Yield ◽  
Nutrient Deficiencies ◽  
East African ◽  
Nutrient Imbalance ◽  
Nutrient Imbalances ◽  
Using Data ◽  
East African Highlands ◽  
The Relationship

SUMMARYPoor soil fertility is a constraint to coffee production. Targeting fertiliser recommendations to nutrient deficiencies can contribute to improved crop response to fertiliser. This study aimed to derive and compare the Compositional Nutrient Diagnosis (CND) and Diagnosis and Recommendation Integrated System (DRIS) norms for Arabica and Robusta, and to investigate nutrient interactions using data derived from 164 plots. The high-yield sub-populations of Arabica had significantly (p < 0.01) higher P (0.23 vs. 0.14) and K (2.87 vs. 2.04), and lower N (2.96 vs. 3.61), Ca (0.99 vs. 1.50) and Mg (0.40 vs. 0.23) than those of Robusta. With respect to the CND norms, Arabica had significantly (p < 0.001) higher P and K, and lower N, Ca and Mg means of row-centered log ratios than Robusta. The relationship between the CND and DRIS indices had coefficient of determination (R2) = 0.75–0.99 for both coffee types. The relationship between nutrient imbalance indices for CND and DRIS had R2 of 0.95 (Arabica) and 0.76 (Robusta). Both coffee types had negative N–Ca, P–Mg and K–Mg interactions. Arabica had positive N–Mg and K–Ca interactions and Robusta had positive N–K, P–K and Ca–Mg interactions and negative N–P, N–Mg, P–Ca and K–Ca interactions. The study concludes, there is a need for cultivar-specific norms, but such norms developed under one set of conditions may not be applicable under different conditions. The study also concludes that both CND and DRIS can be used to determine nutrient imbalances, and fertiliser requirements could be cultivar-specific.

Application of Computer Technology in Processing of Cadastral Surveying and Mapping Data

1980 ◽  
Vol 34 (1) ◽  
pp. 21-40
Author(s):  
Daniel Cremont
Keyword(s):  
Data Processing ◽  
Large Scale ◽  
Data Bank ◽  
Developed Countries ◽  
Integrated System ◽  
Flexible System ◽  
Bank Management ◽  
Cadastral Maps ◽  
Cadastral Surveying ◽  
Land Information System

During the past ten years, the Institut Géographique National, France (IGN-F), has gained useful experience in the fields of large-scale digitized mapping and data bank management. This paper presents a land information system that would be suitable for developed countries where the updating and matching of topographic and cadastral maps are planned within the framework of an integrated system, as well as for those countries where large-scale maps are not available but the level of development justifies the investment. One simple, flexible system should be established, sophisticated equipment should be avoided, and the data processing limited to reasonable applications. Detailed descriptions of data collecting with stereoplotters and digitizing tables as well as data processing are given. Original methods for processing data for the production of cadastral maps are also presented.

scholarly journals The Effect of Mineral Nutrient Deficiency on the Content of free Amino Acids in Setaria Sphacelata

1972 ◽  
Vol 25 (1) ◽  
pp. 77 ◽  
Author(s):  
RD Court ◽  
WT Williams ◽  
MP Hegarty
Keyword(s):  
Amino Acids ◽  
Free Amino Acids ◽  
Free Amino ◽  
Nitrogen Deficiency ◽  
Nutrient Deficiency ◽  
Leaf Nitrogen ◽  
Mineral Nutrient ◽  
Nutrient Deficiencies ◽  
Setaria Sphacelata ◽  
Almost All

The effects of several single mineral nutrient deficiencies on the free amino acid composition of S. sphacelata, grown in water culture, have been examined. Most deficiencies result in an accumulation of the free amino acids. Severe copper deficiency causes a large increase in the alanine content of the leaf. Nitrogen deficiency causes decreases in almost all amino acids.

scholarly journals Determining Nutrient Diagnostic Norms for Greenhouse Roses

HortScience ◽  
2013 ◽  
Vol 48 (11) ◽  
pp. 1403-1410 ◽  
Author(s):  
Johnn Jairo Franco Hermida ◽  
Martha Cecilia Henao Toro ◽  
Miguel Guzmán ◽  
Raul I. Cabrera
Keyword(s):  
Environmental Conditions ◽  
Plant Tissue ◽  
Nutrient Balance ◽  
Cropping System ◽  
Nutrient Status ◽  
Integrated System ◽  
Labor Inputs ◽  
Large Water ◽  
Nutritional Balance

Greenhouse-grown cut roses are an economically important and intensive horticultural cropping system receiving large water, fertilizer, agrochemicals, and labor inputs. This study was conducted to establish and validate norms for the nutrient diagnosis techniques Diagnosis and Recommendation Integrated System (DRIS) and Compositional Nutrient Diagnosis (CND) for cut roses (Rosa spp. L.) growing on soil beds within greenhouses in the Bogotá Plateau, Colombia. Information used in this study was obtained from a database of plant tissue and soil analyses, including 1914 foliar analyses of different rose cultivars grafted on the rootstock R. × ‘Natal Briar’. Theoretical validation proved that the generated norms are suitable for crop nutrient status diagnosis, allowing for the correlation of nutrient balance indices with crop flower productivities across a range of cultivars and plant ages. Analysis of the results provided by both DRIS and CND procedures indicated that element relations associated with nitrogen, phosphorous, magnesium, manganese, and boron had a higher influence on the nutritional balance and productivity of roses growing under the conditions of the studied region. In addition, it was preliminarily determined that the use of these diagnostic norms could be extended to rose crops growing under other, and different, rootstocks, production and environmental conditions, and management.

scholarly journals Exodermis and Endodermis Respond to Nutrient Deficiency in Nutrient-Specific and Localized Manner

Plants ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 201
Author(s):  
Jiří Namyslov ◽  
Zuzana Bauriedlová ◽  
Jana Janoušková ◽  
Aleš Soukup ◽  
Edita Tylová
Keyword(s):  
Membrane Surface ◽  
Nutrient Deficiency ◽  
Stress Factors ◽  
Nutrient Deficiencies ◽  
Root Cortex ◽  
Protective Function ◽  
Single Root ◽  
Limiting Nutrient ◽  
Apoplastic Barrier ◽  
Low K

The exodermis is a common apoplastic barrier of the outer root cortex, with high environmentally-driven plasticity and a protective function. This study focused on the trade-off between the protective advantages provided by the exodermis and its disadvantageous reduction of cortical membrane surface area accessible by apoplastic route, thus limiting nutrient acquisition from the rhizosphere. We analysed the effect of nutrient deficiency (N, P, K, Mg, Ca, K, Fe) on exodermal and endodermal differentiation in maize. To differentiate systemic and localized effects, nutrient deficiencies were applied in three different approaches: to the root system as a whole, locally to discrete parts, or on one side of a single root. Our study showed that the establishment of the exodermis was enhanced in low–N and low–P plants, but delayed in low-K plants. The split-root cultivation proved that the effect is non-systemic, but locally coordinated for individual roots. Within a single root, localized deficiencies didn’t result in an evenly differentiated exodermis, in contrast to other stress factors. The maturation of the endodermis responded in a similar way. In conclusion, N, P, and K deficiencies strongly modulated exodermal differentiation. The response was nutrient specific and integrated local signals of current nutrient availability from the rhizosphere.

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