scholarly journals A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton

BMC Genomics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 776 ◽  
Author(s):  
Joseph I Said ◽  
Zhongxu Lin ◽  
Xianlong Zhang ◽  
Mingzhou Song ◽  
Jinfa Zhang
Euphytica ◽  
2014 ◽  
Vol 201 (2) ◽  
pp. 195-213 ◽  
Author(s):  
Shiyi Tang ◽  
Zhonghua Teng ◽  
Tengfei Zhai ◽  
Xiaomei Fang ◽  
Fang Liu ◽  
...  

2017 ◽  
Vol 9 (21) ◽  
pp. 44-55
Author(s):  
Maryam Tahmasb Ali ◽  
Ali Asghari ◽  
Omid Safalian ◽  
Hamidreza Mohammaddoust Chaman Abad ◽  
Ali Rasoul Zadeh

2003 ◽  
Vol 81 (3) ◽  
pp. 221-228 ◽  
Author(s):  
P. TILQUIN ◽  
I. VAN KEILEGOM ◽  
W. COPPIETERS ◽  
E. LE BOULENGÉ ◽  
P. V. BARET

In QTL analysis of non-normally distributed phenotypes, non-parametric approaches have been proposed as an alternative to the use of parametric tests on mathematically transformed data. The non-parametric interval mapping test uses random ranking to deal with ties. Another approach is to assign to each tied individual the average of the tied ranks (midranks). This approach is implemented and compared to the random ranking approach in terms of statistical power and accuracy of the QTL position. Non-normal phenotypes such as bacteria counts showing high numbers of zeros are simulated (0–80% zeros). We show that, for low proportions of zeros, the power estimates are similar but, for high proportions of zeros, the midrank approach is superior to the random ranking approach. For example, with a QTL accounting for 8% of the total phenotypic variance, a gain from 8% to 11% of power can be obtained. Furthermore, the accuracy of the estimated QTL location is increased when using midranks. Therefore, if non-parametric interval mapping is chosen, the midrank approach should be preferred. This test might be especially relevant for the analysis of disease resistance phenotypes such as those observed when mapping QTLs for resistance to infectious diseases.


2003 ◽  
Vol 106 (3) ◽  
pp. 384-396 ◽  
Author(s):  
A. H. Paterson ◽  
Y. Saranga ◽  
M. Menz ◽  
C.-X. Jiang ◽  
R. Wright

GigaScience ◽  
2019 ◽  
Vol 8 (10) ◽  
Author(s):  
Bo Song ◽  
Yue Song ◽  
Yuan Fu ◽  
Elizabeth Balyejusa Kizito ◽  
Sandra Ndagire Kamenya ◽  
...  

Abstract Background The African eggplant (Solanum aethiopicum) is a nutritious traditional vegetable used in many African countries, including Uganda and Nigeria. It is thought to have been domesticated in Africa from its wild relative, Solanum anguivi. S. aethiopicum has been routinely used as a source of disease resistance genes for several Solanaceae crops, including Solanum melongena. A lack of genomic resources has meant that breeding of S. aethiopicum has lagged behind other vegetable crops. Results We assembled a 1.02-Gb draft genome of S. aethiopicum, which contained predominantly repetitive sequences (78.9%). We annotated 37,681 gene models, including 34,906 protein-coding genes. Expansion of disease resistance genes was observed via 2 rounds of amplification of long terminal repeat retrotransposons, which may have occurred ∼1.25 and 3.5 million years ago, respectively. By resequencing 65 S. aethiopicum and S. anguivi genotypes, 18,614,838 single-nucleotide polymorphisms were identified, of which 34,171 were located within disease resistance genes. Analysis of domestication and demographic history revealed active selection for genes involved in drought tolerance in both “Gilo” and “Shum” groups. A pan-genome of S. aethiopicum was assembled, containing 51,351 protein-coding genes; 7,069 of these genes were missing from the reference genome. Conclusions The genome sequence of S. aethiopicum enhances our understanding of its biotic and abiotic resistance. The single-nucleotide polymorphisms identified are immediately available for use by breeders. The information provided here will accelerate selection and breeding of the African eggplant, as well as other crops within the Solanaceae family.


2013 ◽  
Vol 126 (12) ◽  
pp. 3021-3034 ◽  
Author(s):  
Magdalena Wójcik-Jagła ◽  
Marcin Rapacz ◽  
Mirosław Tyrka ◽  
Janusz Kościelniak ◽  
Katarzyna Crissy ◽  
...  

Crop Science ◽  
2005 ◽  
Vol 45 (1) ◽  
pp. cropsci2005.0123a ◽  
Author(s):  
Jean-Marc Lacape ◽  
Trung-Bieu Nguyen ◽  
Brigitte Courtois ◽  
Jean-Louis Belot ◽  
Marc Giband ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document