scholarly journals Foliar diagnosis in Phalaenopsis orchid plants subjected to application of nitrogen

2015 ◽  
Vol 10 (53) ◽  
pp. 4906-4912 ◽  
Author(s):  
Mantovani Cibele ◽  
de Mello Prado Renato ◽  
Fernandes Lopes Pivetta Kathia
Keyword(s):  
Foliar Diagnosis

Foliar diagnosis of sugar maple decline by DRIS

1989 ◽  
Vol 20 (17-18) ◽  
pp. 1895-1914 ◽  
Author(s):  
F.C. Lozano ◽  
K.D. Huynh
Keyword(s):  
Sugar Maple ◽  
Foliar Diagnosis

FOLIAR DIAGNOSIS IN RELATION TO SOIL HETEROGENEITY

Soil Science ◽  
1941 ◽  
Vol 52 (6) ◽  
pp. 455-468 ◽  
Author(s):  
WALTER THOMAS ◽  
WARREN B. MACK
Keyword(s):  
Soil Heterogeneity ◽  
Foliar Diagnosis

Foliar diagnosis of soybean by dris

1986 ◽  
Vol 17 (3) ◽  
pp. 237-256 ◽  
Author(s):  
R. B. Beverly ◽  
M. E. Sumner ◽  
W. S. Letzsch ◽  
C. O. Plank
Keyword(s):  
Foliar Diagnosis

scholarly journals Multivariate Nutrient Diagnosis of the Carrot Crop

1994 ◽  
Vol 119 (3) ◽  
pp. 420-426 ◽  
Author(s):  
L.E. Parent ◽  
D. Isfan ◽  
N. Tremblay ◽  
A. Karam
Keyword(s):  
Principal Component ◽  
Critical Value ◽  
Computational Effort ◽  
Integrated System ◽  
Independent Data ◽  
Foliar Nutrient ◽  
Foliar Diagnosis ◽  
Highly Correlated ◽  
Index Calculation ◽  
Nutrient Data

Compositional nutrient diagnosis (CND) provides undistorted (linearized) variates amenable to principal component analysis (PCA) using a row-centered logratio transformation of foliar nutrient data. Our objectives were to carry PCA on raw or transformed nutrient data for carrot (Daucus carota L.) crops and to compare the critical value approach (CVA), diagnosis and recommendation integrated system (DRIS), and CND diagnoses using independent data. PCA conducted on percentage or log-transformed data produced similar multivariate structures difficult to interpret. PCA conducted on DRIS indexes and on row-centered logratios produced PCs (K-Ca+), (N+K-Ca-Mg+), and (P-Mg+) and PCs (K-Mg+), (N-Ca+), and (P-), respectively. Nutrient contrasts were easiest to interpret with CND and reflected either K-Mg antagonism or N dilution and Ca accumulation over time. CVA diagnosis of independent samples was generally not in line with DRIS or CND. DRIS and CND diagnostic indexes were highly correlated (r = 0.98 to 0.99). By summing bivariate DRIS functions, the DRIS index calculation procedure effectively row-centered the nutrient values for carrots. DRIS and CND index diagnosis indicated treatment-dependent Ca shortage. In contrast, CND PC diagnosis indicated overall stationary values for PC (N-Ca+) whatever treatment was applied. CND PC diagnosis is a multivariate (PCA) approach providing simplified computational effort and a theoretical basis for further improvements in foliar diagnosis.

scholarly journals Relationship between soil nurient concentration and plant nutrient status

1974 ◽  
Vol 46 (3) ◽  
pp. 271-276
Author(s):  
Viljo Puustjärvi
Keyword(s):  
Nutrient Concentration ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
Efficiency Coefficient ◽  
Plant Nutrient ◽  
Growing Medium ◽  
Foliar Diagnosis ◽  
Logarithmic Equation ◽  
The Given ◽  
The Relationship

Foliar diagnosis as a method for assessing the nutrient status in a grownig medium seems to be useful. It gives the relationship between the available soil nutrient concentration and the plant nutritional status. The proportionality factor (k). a parameter in the given logarithmic equation, is called the efficiency coefficient. It indicates the ability of a plant to absorb nutrients from its growing medium.

scholarly journals Monitoring nitrogen nutrition in cotton

2010 ◽  
Vol 34 (5) ◽  
pp. 1601-1607 ◽  
Author(s):  
Ciro Antonio Rosolem ◽  
Vanessa van Mellis
Keyword(s):  
Nutritional Status ◽  
Nitrogen Nutrition ◽  
The Third ◽  
Yield And Quality ◽  
Foliar Diagnosis ◽  
Beginning Of Flowering ◽  
Plant Emergence ◽  
Determination Methods ◽  
N Management ◽  
Nutritional Indicator

Both N excess and deficiency may affect cotton yield and quality. It would therefore be useful to base the N management fertilization on the monitoring of the nutritional status. This study investigated the correlations among the following determination methods of the N nutritional status of cotton (Gossypium hirsutum L., var. Latifolia): chlorophyll readings (SPAD-502®, Minolta), specific-ion nitrate meter (Nitrate Meter C-141, Horiba-Cardy®), and laboratory analysis (conventional foliar diagnosis). Samples were taken weekly from two weeks before flowering to the fifth week after the first flower. The experiment was conducted on the Fazenda Santa Tereza, Itapeva, State of São Paulo, Brazil. The crop was fertilized with 40 kg ha-1 N at planting and 0, 30, 60, 90, and 120 kg ha-1 of side-dressed N. The range of leaf N contents reported as adequate for samples taken 80-90 days after plant emergence (traditional foliar diagnosis) may be used as reference from the beginning of flowering when the plant is not stressed. Specific-ion nitrate meter readings can be used as a nutritional indicator of cotton nutrition from one week after pinhead until the third week of flowering. In this case, plants are well-nourished when readings exceed 8,000 mg L-1 NO3-. The chlorophyll meter can also be used to estimate the nutritional status of cotton from the third week of flowering. In this case the readings should be above 48 in well-nourished plants.

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