Recent Advances in Correlation Studies of Spatial Patterns of Genetic Variation

1993 ◽  
pp. 95-155 ◽  
Author(s):  
Bryan K. Epperson
Keyword(s):  
Genetic Variation ◽  
Spatial Patterns ◽  
Correlation Studies ◽  
Recent Advances

scholarly journals GenoCline: On the trail of spatial patterns of genetic variation

2020 ◽  
Author(s):  
Jose Pe a ◽  
Luis G mez P rez ◽  
Miguel Alfonso S nchez
Keyword(s):  
Genetic Variation ◽  
Spatial Patterns

scholarly journals Genetic Variation and Correlation Studies of Some Carcass Traits in Goats

2001 ◽  
Vol 14 (7) ◽  
pp. 905-909 ◽  
Author(s):  
S. Das ◽  
S. S. Husain ◽  
M. A. Hoque ◽  
M. R. Amin
Keyword(s):  
Genetic Variation ◽  
Carcass Traits ◽  
Correlation Studies

scholarly journals Genetic variation, linkage mapping of QTL and correlation studies for yield, root, and agronomic traits for aerobic adaptation

BMC Genetics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 104 ◽  
Author(s):  
Nitika Sandhu ◽  
Sunita Jain ◽  
Arvind Kumar ◽  
Balwant Mehla ◽  
Rajinder Jain
Keyword(s):  
Genetic Variation ◽  
Linkage Mapping ◽  
Agronomic Traits ◽  
Correlation Studies

Genetic variation and correlation studies between micronutrient (Fe and Zn), protein content and yield attributing traits in mungbean (Vigna. radiata L.)

2016 ◽  
Author(s):  
Renu Singh ◽  
Adriaan W. Van Heusden ◽  
Ram Kumar ◽  
Richard G.F. Visser
Keyword(s):  
Genetic Variation ◽  
Protein Content ◽  
Vigna Radiata ◽  
Quantitative Traits ◽  
Zinc Content ◽  
High Yield ◽  
Breeding Programs ◽  
Correlation Studies ◽  
Start Up ◽  
Iron And Zinc

Mungbean can effectively contribute in alleviation of iron, zinc and protein malnutrition as it is a source of micronutrients and protein. To improve this cultivars have to be developed which are rich in micronutrients and protein. But in general more focus is given to quantitative traits such as yield. Breeding mungbean for enhanced grain nutrients is still in its start-up phase. The present study was carried out to access genetic variation for both quantitative as qualitative traits. The correlation between important traits such as yield and Fe, Zn, protein content was calculated. A positive correlation was found between iron and zinc content (r = 0.47) whereas no significant correlation with grain yield was observed indicating no compromise of yield for improving quality. Breeding a cultivar which is nutritionally improved along with high yield is therefore possible. A few promising cultivars with high micronutrients, protein and yield were identified. These cultivars can be used in specific breeding programs aiming at nutrient-rich high yielding cultivars.

Spatial patterns of genetic variability in Italian chestnut (Castanea sativa)

1990 ◽  
Vol 68 (9) ◽  
pp. 1962-1967 ◽  
Author(s):  
M. Pigliucci ◽  
S. Benedettelli ◽  
F. Villani
Keyword(s):  
Multivariate Analysis ◽  
Genetic Variation ◽  
Spatial Autocorrelation ◽  
Spatial Patterns ◽  
Castanea Sativa ◽  
The Other ◽  
Spatial Autocorrelation Analysis ◽  
Autocorrelation Analysis ◽  
Migration Flow ◽  
Selection For

The spatial patterns of genetic variation for 15 loci in 18 Italian populations of chestnut were analyzed. Multivariate analysis and spatial autocorrelation analysis showed two clinal variations, one in a west–east direction, the other in a north–south direction. There was a nonrandom spatial pattern of at least three alleles and a marked heterogeneity among populations of many others. An explanation is proposed in terms of migration flow for the majority of the polymorphisms and of selection for the three autocorrelated alleles. However, anthropic interferences may also be important. Key words: chestnut, electrophoresis, spatial autocorrelation, correspondence analysis, genetic boundaries, discriminant analysis.

scholarly journals Spatial patterns of genetic variation generated by different forms of dispersal during range expansion

Heredity ◽  
1996 ◽  
Vol 77 (3) ◽  
pp. 282-291 ◽  
Author(s):  
Kamal M Ibrahim ◽  
Richard A Nichols ◽  
Godfrey M Hewitt
Keyword(s):  
Genetic Variation ◽  
Spatial Patterns ◽  
Range Expansion
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