An application of multivariate analysis to selection for quality characters in wheat

1976 ◽  
Vol 27 (1) ◽  
pp. 11 ◽  
Author(s):  
GM Bhatt
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Environmental Stability ◽  
Quality Performance ◽  
Wheat Breeding Program ◽  
Selection For ◽  
The Stability ◽  
Clustering Pattern

A set of 12 genotypes of bread wheat (Triticum aestivum L.) was grown in four different environments involving sites and years. Multivariate analysis according to the D2 technique was performed on six quality characters measured on material harvested from each environment and on the data pooled over four environments. The analysis offered meaningful grouping criteria with regard to quality performance. The clustering pattern was stable in different environments. This environmental stability was found to be independent of the stability of six individual characters. The application of multivariate analysis to selection for quality characters in a wheat breeding program is discussed.

Comparison of various methods of selecting parents for hybridization in common bread wheat (Triticum aestivum L.)

1973 ◽  
Vol 24 (4) ◽  
pp. 457 ◽  
Author(s):  
GM Bhatt
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Bread Wheat ◽  
Conventional Method ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Breeding Programme ◽  
Analysis Method ◽  
Yield Improvement ◽  
Random Method

A study was conducted with the objective of rationalizing the method of choosing parents for hybridization in a wheat breeding programme aimed at yield improvement. The various systems of selecting parents included (a) conventional method, (b) random method, (c) multivariate analysis method, and (d) according to ecogeographic diversity. The relative merits of these systems was measured by (i) F2 hybrid bulk yield, (ii) means and variances of yield of F5 lines, and (iii) the number of useful transgressive segregates for yield detected in F5. The application of multivariate analysis method of selecting parents and effecting crosses between the parents representing high intergenotypic divergence appeared to be more efficient than the method of selecting parents according to ecogeographic diversity. The conventional and random methods were relatively less efficient.

Screening of bread wheat (Triticum aestivum L.) genotypes under drought stress conditions using multivariate analysis

2020 ◽  
Vol 48 (3) ◽  
pp. 301-308 ◽  
Author(s):  
M. Arifuzzaman ◽  
S. Barman ◽  
S. Hayder ◽  
M. A. K. Azad ◽  
M. T. S. Turin ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Drought Stress ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Stress Conditions

scholarly journals Recurrent selection for wider seedling leaves increases early biomass and leaf area in wheat (Triticum aestivum L.)

2014 ◽  
Vol 66 (5) ◽  
pp. 1215-1226 ◽  
Author(s):  
L. Zhang ◽  
R. A. Richards ◽  
A. G. Condon ◽  
D. C. Liu ◽  
G. J. Rebetzke
Keyword(s):  
Triticum Aestivum ◽  
Leaf Area ◽  
Recurrent Selection ◽  
Triticum Aestivum L ◽  
Selection For

COMPARISON OF PREDICTED AND OBSERVED RESPONSES TO SELECTION FOR YIELD IN WHEAT

1971 ◽  
Vol 51 (3) ◽  
pp. 187-192 ◽  
Author(s):  
J. PESEK ◽  
R. J. BAKER
Keyword(s):  
Triticum Aestivum ◽  
Common Wheat ◽  
Triticum Aestivum L ◽  
Standard Errors ◽  
Selection Differential ◽  
Response To Selection ◽  
Simple Method ◽  
Different Populations ◽  
Selection For ◽  
Heritability Estimates

A simple method of calculating standard errors of heritability estimates is presented. The method is then used to conclude that observed response to selection for yield in five different populations of common wheat, Triticum aestivum L., agreed with the response predicted by multiplying estimates of heritability by the selection differential. It is suggested that a comparison of observed and predicted responses is not the best way to test the theory used in predicting response to selection.

Impacts of Selection for Spike Length on Heat Stress Tolerance in Bread Wheat (Triticum aestivum L.)

2019 ◽  
Vol 7 (2) ◽  
pp. 83-94
Author(s):  
Asmaa M. Mohamed ◽  
Mohamed K. Omara ◽  
Mahmoud A. El-Rawy ◽  
Mohamed I. Hassan
Keyword(s):  
Triticum Aestivum ◽  
Heat Stress ◽  
Stress Tolerance ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Spike Length ◽  
Heat Stress Tolerance ◽  
Selection For

EFFECT OF WEATHERING DURING DELAYED HARVEST ON TEST WEIGHT, SEED SIZE, AND GRAIN HARDNESS OF WHEAT

1986 ◽  
Vol 66 (3) ◽  
pp. 473-482 ◽  
Author(s):  
E. CZARNECKI ◽  
L. E. EVANS
Keyword(s):  
Weight Loss ◽  
Triticum Aestivum ◽  
Seed Size ◽  
Triticum Aestivum L ◽  
Test Weight ◽  
Grain Hardness ◽  
Kernel Weights ◽  
Selection For ◽  
Packing Efficiency ◽  
Harvest Delay

Five cultivars of wheat (Triticum aestivum L.) were evaluated for effects of weathering by subjecting windrowed grain to varying periods of exposure in a 2-yr study. Moderate amounts of precipitation caused a significant reduction (5%) in test weight affecting density and packing efficiency about equally. Cultivars differed in test weight loss with Neepawa showing the largest reduction of 2.9 and 4.2 kg hL−1 in successive years. Cultivars also differed in susceptibility to bleaching, the primary cause of grade loss. The 1000-kernel weights decreased significantly (1.4%) in only 1 yr. Grain hardness decreased approximately 8% with delayed harvest at similar rates for all cultivars. The hard-grained Glenlea and RL4137 were the most resistant to test weight loss and bleaching, indicating that selection for improvement might be possible.Key words: Harvest delay, weathering, wheat, test weight, seed size, grain hardness

Competitive ability of wheat in conventional and organic management systems: A review of the literature

2006 ◽  
Vol 86 (2) ◽  
pp. 333-343 ◽  
Author(s):  
H. E. Mason ◽  
D. Spaner
Keyword(s):  
Triticum Aestivum ◽  
Leaf Area ◽  
Organic Agriculture ◽  
Competitive Ability ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Management Systems ◽  
Wheat Varieties ◽  
Early Season ◽  
Low Input

Wheat (Triticum aestivum L.) is the world’s most widely grown crop, cultivated in over 115 nations. Organic agriculture, a production system based on reducing external inputs in order to promote ecosystem health, can be defined as a system that prohibits the use of synthetic fertilizers, chemical pesticides and genetically modified organisms. Organic agriculture is increasing in popularity, with a 60% increase in the global acreage of organically managed land from the year 2000 to 2004. Constraints that may be associated with organic grain production include reduced yields due to soil nutrient deficiencies and competition from weeds. Global wheat breeding efforts over the past 50 yr have concentrated on improving yield and quality parameters; in Canada, disease resistance and grain quality have been major foci. Wheat varieties selected before the advent of chemical fertilizers and pesticides may perform differently in organic, low-input management systems than in conventional, high-input systems. Height, early-season growth, tillering capacity, and leaf area are plant traits that may confer competitive ability in wheat grown in organic systems. Wheat root characteristics may also affect competitive ability, especially in low-input systems, and more research in this area is needed. The identification of a competitive crop ideotype may assist wheat breeders inthe development of competitive wheat varieties. Wheat varieties with superior performance in low-input systems, and/or increased competitive ability against weeds, could assist organic producers in overcoming some of the constraints associated with organic wheat production. Key words: Triticum aestivum L., wheat breeding, low-input agriculture, plant height, early-season growth, tillering capacity, leaf area index

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