Multivariate analysis for yield and proline content in wheat under lab and field conditions

This study aimed to evaluate the physiological response of Eucalyptus citriodora Hook seedlings subjected to foliar application of potassium phosphite and water deficit with the aid of multivariate statistical analysis, using MANOVA and canonical discriminant analysis. The experiment was conducted in a completely randomized design with five treatments (0.0 L c.p. ha-1 of potassium phosphite with irrigation; 0.0; 1.25; 2.50 and 5.00 L c.p. ha-1 of potassium phosphite without irrigation) and six replicates, in a greenhouse located in the municipality of Cruz das Almas, Bahia, Brazil. Treatments with potassium phosphite were applied by foliar spray, using the commercial product Reforce from Agrichem® (25.0% K2O + 35.0% P2O5 p/v). Irrigation was suspended seven days after application of the product. The correlation (0.6603) between the evaluated variables indicated that the use of multivariate analysis techniques was adequate to analyze this data set. Eucalyptus plants of the control treatment without irrigation responded to the water deficit conditions with inhibition of photosynthetic activity and increase of free proline content in the leaves. On the other hand, plants which received foliar application of potassium phosphite at highest concentrations (2.50 and 5.00 L c.p. ha-1), even under water deficit conditions, preserved the photosynthetic activity and proline content in the leaves with values equal to those observed in the irrigated control treatment. From this result it is possible to infer about the role of potassium phosphite as an attenuating effect of the water deficit in Eucalyptus citriodora Hook.

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Proline content of sugar beet storage roots: Response to water deficit and nitrogen fertilization at field conditions

Environmental and Experimental Botany ◽

10.1016/j.envexpbot.2006.11.002 ◽

2007 ◽

Vol 60 (2) ◽

pp. 257-267 ◽

Cited By ~ 43

Author(s):

J.A. Monreal ◽

E.T. Jiménez ◽

E. Remesal ◽

R. Morillo-Velarde ◽

S. García-Mauriño ◽

...

Keyword(s):

Sugar Beet ◽

Water Deficit ◽

Nitrogen Fertilization ◽

Proline Content ◽

Field Conditions ◽

Storage Roots ◽

Response To Water

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Multivariate Analysis as a Tool for Indirect Selection of Common Bean Genotypes (Phaseolus vulgaris L) for Soil Acidity Tolerance under Field Conditions

Science Technology and Arts Research Journal ◽

10.4314/star.v2i2.98862 ◽

2013 ◽

Vol 2 (2) ◽

pp. 07 ◽

Cited By ~ 3

Author(s):

H Legesse ◽

N Dechassa ◽

S Gebeyehu ◽

G Bultosa ◽

F Mekbib

Keyword(s):

Multivariate Analysis ◽

Phaseolus Vulgaris ◽

Common Bean ◽

Soil Acidity ◽

Indirect Selection ◽

Field Conditions ◽

Phaseolus Vulgaris L ◽

Selection Of

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Drought Behavior of Nonbearing Clingstone Peaches on GF 677 Rootstock Cultivated under Field Conditions

HortScience ◽

10.21273/hortsci.33.3.490e ◽

1998 ◽

Vol 33 (3) ◽

pp. 490e-490

Author(s):

Jorge A. Zegbe

Keyword(s):

Transpiration Rate ◽

Osmotic Potential ◽

Shoot Growth ◽

Proline Content ◽

Field Conditions ◽

Physiological Variables ◽

Relative Water ◽

Peach Trees ◽

And Control ◽

Osmotic Potentials

Water relations, chlorophyll and proline content, and vegetative growth were obtained from three clingstone peach genotypes (S135,) grafted on peach × almond hybrid (GF 677,) rootstock (S135/GF 677) and seedling trees from S135 (SPTS135). The experiment was carried out under field conditions during the dry season (April–June) to evaluate the influence of the GF 677 rootstock on scion in 1997. Leaf water and osmotic potentials tended to be lower in S135/GF 677 than SPTS135 trees and irrigated seedlings peach trees (control). Although S135/GF 677 trees developed the lowest osmotic potential, the turgency was similar to SPTS135 trees. Relative water content and transpiration rate were the lowest in S135/GF 677 trees; SPTS135 trees were intermediate between S135/GF 677 and control trees. Chlorophyll and proline levels were increased in S135/GF 677 and SPTS135 trees compared with the control. Shoot growth was significantly delayed in S135/GF 677 trees compared with SPTS135 and control trees. Even though some scion physiological variables were modified by the GF 677, rootstock, the effect was not big enough to confer significant drought resistance to the scion.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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