Statistical Analysis of Certain Traits that Influence Sugar Recovery of Selected Sugarcane Varieties

2003 ◽  
Vol 6 (2) ◽  
pp. 99-104
Author(s):  
N.E. Nosheen ◽  
M. Ashraf .
Keyword(s):  
Statistical Analysis ◽  
Sugar Recovery ◽  
Sugarcane Varieties

scholarly journals EXPOLRING RATOON PROSPECTIVE OF SUGARCANE VARIEITES / CLONES AT TOBA TEK SINGH

2020 ◽  
Vol 34 (3) ◽  
pp. 12-15
Author(s):  
Waqas Raza Arshad ◽  
Muhammad Ehsan Khan ◽  
Zaheer Aslam
Keyword(s):  
Sugar Recovery ◽  
Current Analysis ◽  
Breeding Programs ◽  
Sugarcane Varieties ◽  
Significant Potential ◽  
Production Techniques ◽  
Check Variety ◽  
High Production

Sugarcane is the crop that have the quality to sprout after its first harvesting, phenomenon known as ratooning. Among all other major crops, sugarcane ratooning is widely acceptable to farmers of the Punjab. The more the tillers grew, the higher are the chances of a greater number of stalks to be harvested. It is proven that more the number of stalks, the thinner is the diameter, finally results in more stalks and high production. Similarly, higher number of canes produce favorable ratoon. In this experiment, performance of Seven promising sugarcane varieties/clones along with the check variety CPF-246, were tested for their ratoon ability capacity at farmer’s field at Toba Tek Singh during the year 2017-18. It has been found that one of the varieties S2008-FD-19 produced that maximum ratoon yield, U2003-US-633 produced the maximum sugar recovery and S2003-US-133 produced maximum number of mill able canes. The observing of the current analysis also revealed that S2003-US-633 and S2003-US-133 have significant potential for boom sugar recovery through breeding programs and by improving the production techniques.

scholarly journals EVALUATION OF PROMISING AND COMMERCIAL SUGARCANE CLONES AT DIFFERENT LOCATIONS IN THAL AND SOUTHERN PUNJAB

2020 ◽  
Vol 34 (3) ◽  
pp. 16-22
Author(s):  
Muhammad Sarwar ◽  
Warda Muzaffar ◽  
Waqas Raza Arshad
Keyword(s):  
Cane Sugar ◽  
Cane Yield ◽  
Sugar Recovery ◽  
Ecological Zones ◽  
Sugarcane Varieties ◽  
Water Pumping ◽  
Water Tables ◽  
Sugar Mills ◽  
Check Variety ◽  
Valley River

Topographical areas better adapted for sugar cane cultivation must be identified and preserved, for this study Indus valley river delta in South Punjab represents promising features for prosperous sugarcane cultivation (lower water pumping costs due to higher water tables, sugarcane being flood resistant crop in Pakistan. Eight sugarcane varieties and eight promising clones were grown on different locations in Punjab at farmer’s field using RCBD with three replications. The objective of this study is to evaluate varieties under different ecological zones. These clones were tested for their proficiency at four different locations during 2018-19. The “Thal” and Southern Punjab viz; 142/TDA Lalazar Layyah, Indus Sugar mills Rajanpur, Ashraf Sugar Mills Bahawalpur and Adam Sugar Mills Chishtian. The data on germination %, tillers / plants, Number of mill able canes, canes yield tones/ ha and commercial cane sugar (CCS) were recorded during the course of study. It is obvious from pooled mean of four locations that cane yield of clone S2002-US-133 gave 84.13 % higher cane yield as compared the check variety CPF 248 as far as CCS% is concerned, sugarcane clones S200-US-633 and S200-US-133 gave the higher sugar recovery that is 15.31 % & 15.23 % respectively more than check variety. Whereas S200-US-658 and HSF240 have the lowest CCS% 1.22 & 1.14 % less than check.

Statistical analysis of classification

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.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

Review of Basic FORTRAN for Statistical Analysis.

1967 ◽  
Vol 12 (9) ◽  
pp. 467-467
Author(s):  
JOHN C. LOEHLIN
Keyword(s):  
Statistical Analysis
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