scholarly journals Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments

2013 ◽  
Vol 36 (10) ◽  
pp. 1871-1887 ◽  
Author(s):  
ALEXANDER STRIGENS ◽  
NICLAS M. FREITAG ◽  
XAVIER GILBERT ◽  
CHRISTOPH GRIEDER ◽  
CHRISTIAN RIEDELSHEIMER ◽  
...  
Keyword(s):  
Association Mapping ◽  
Field Experiments ◽  
Chilling Tolerance ◽  
Inbred Lines ◽  
Growth Chamber ◽  
Maize Inbred Lines

Cyclic electron flow around PSI monitored by afterglow luminescence in leaves of maize inbred lines (Zea mays L.): correlation with chilling tolerance

Planta ◽  
2005 ◽  
Vol 221 (4) ◽  
pp. 567-579 ◽  
Author(s):  
Jean-Marc Ducruet ◽  
Miruna Roman ◽  
Michel Havaux ◽  
Tibor Janda ◽  
André Gallais
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Electron Flow ◽  
Chilling Tolerance ◽  
Inbred Lines ◽  
Cyclic Electron Flow ◽  
Maize Inbred Lines

Antioxidant activity and chilling tolerance of young maize inbred lines and their hybrids

2005 ◽  
Vol 33 (2-3) ◽  
pp. 541-548 ◽  
Author(s):  
Tibor Janda ◽  
Eszter Kósa ◽  
János Pintér ◽  
Gabriella Szalai ◽  
Csaba Marton ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Chilling Tolerance ◽  
Inbred Lines ◽  
Maize Inbred Lines

scholarly journals Genome-Wide Association and Gene Co-expression Network Analyses Reveal Complex Genetics of Resistance to Goss’s Wilt of Maize

2019 ◽  
Vol 9 (10) ◽  
pp. 3139-3152
Author(s):  
Amritpal Singh ◽  
Guangyong Li ◽  
Alex B. Brohammer ◽  
Diego Jarquin ◽  
Candice N. Hirsch ◽  
...  
Keyword(s):  
Network Analysis ◽  
Association Mapping ◽  
Phenotypic Variation ◽  
Time Course ◽  
Inbred Lines ◽  
Genome Wide Association ◽  
Wilt Resistance ◽  
Diversity Panel ◽  
Maize Inbred Lines ◽  
Genome Wide

Goss’s bacterial wilt and leaf blight is a disease of maize caused by the gram positive bacterium Clavibacter michiganensis subsp. nebraskensis (Cmn). First discovered in Nebraska, Goss’s wilt has now spread to major maize growing states in the United States and three provinces in Canada. Previous studies conducted using elite maize inbred lines and their hybrids have shown that resistance to Goss’s wilt is a quantitative trait. The objective of this study was to further our understanding of the genetic basis of resistance to Goss’s wilt by using a combined approach of genome-wide association mapping and gene co-expression network analysis. Genome-wide association analysis was accomplished using a diversity panel consisting of 555 maize inbred lines and a set of 450 recombinant inbred lines (RILs) from three bi-parental mapping populations, providing the most comprehensive screening of Goss’s wilt resistance to date. Three SNPs in the diversity panel and 10 SNPs in the combined dataset, including the diversity panel and RILs, were found to be significantly associated with Goss’s wilt resistance. Each significant SNP explained 1–5% of the phenotypic variation for Goss’s wilt (total of 8–11%). To augment the results of genome-wide association mapping and help identify candidate genes, a time course RNA sequencing experiment was conducted using resistant (N551) and susceptible (B14A) maize inbred lines. Gene co-expression network analysis of this time course experiment identified one module of 141 correlated genes that showed differential regulation in response to Cmn inoculations in both resistant and susceptible lines. SNPs inside and flanking these genes explained 13.3% of the phenotypic variation. Among 1,000 random samples of genes, only 8% of samples explained more phenotypic variance for Goss’s wilt resistance than those implicated by the co-expression network analysis. While a statistically significant enrichment was not observed (P < 0.05), these results suggest a possible role for these genes in quantitative resistance at the field level and warrant more research on combining gene co-expression network analysis with quantitative genetic analyses to dissect complex disease resistance traits. The results of the GWAS and co-expression analysis both support the complex nature of resistance to this important disease of maize.

scholarly journals Pathway approaches to dissecting the inheritance of maize shoot-borne roots

2010 ◽  
Author(s):  
◽  
Michael Gerau
Keyword(s):  
Quantitative Trait Loci ◽  
Gibberellic Acid ◽  
Association Analysis ◽  
Quantitative Trait ◽  
Acid Production ◽  
Field Experiments ◽  
Inbred Lines ◽  
Light Signaling ◽  
Maize Inbred Lines ◽  
Trait Loci

Shoot-borne roots are essential plant components. Two pathway-based approaches were pursued to increase our understanding of genetic mechanisms controlling shoot-borne root patterning. The first pathway approach characterized the contribution of gibberellic acid-related genes in shoot-borne root patterning. Quantitative trait loci mapping in the Intermated B73xMo17 linkage mapping population identified chromosome regions controlling shoot-borne root patterning which also contained gibberellic acid biosynthetic and response genes. Phenotyping of mutants with altered gibberellic acid production and response validated these genes as potentially underlying the identified quantitative trait loci. Association analysis was conducted in a set of 260 diverse maize inbred lines. The association analysis identified significant polymorphisms in the catalytic domain of the gibberellic acid biosynthetic gene dwarf3 and in the promoter region of the gibberellic acid response regulator Dwarf8. These results confirmed the previous hypothesis that gibberellic acid production is involved in shoot-borne root patterning and expanded it to include DELLA-mediated gibberellic acid response. In the second pathway-based approach a multivariate phenotypic analysis was conducted on 25 diverse maize inbred lines that were phenotyped for 23 developmental traits along with three shoot-borne root traits to define novel hypotheses about pathways involved in shoot-borne root patterning,. Evidence for a light-signaling component in root development was found. Further support for the involvement of light-signaling was provided by mutant phenotyping and field experiments which confirmed the predictions of the multivariate analysis. The two pathways were integrated into one model where light-mediated redistribution of gibberellic acid dictates shoot-borne root patterning.

Combining Ability of Traits Related to Nitrogen Use Efficiency in Eighteen Maize Inbred Lines

2014 ◽  
Vol 40 (5) ◽  
pp. 838 ◽  
Author(s):  
Chao CUI ◽  
Ju-Lin GAO ◽  
Xiao-Fang YU ◽  
Zhi-Jun SU ◽  
Zhi-Gang WANG ◽  
...  
Keyword(s):  
Nitrogen Use Efficiency ◽  
Combining Ability ◽  
Inbred Lines ◽  
Nitrogen Use ◽  
Maize Inbred Lines ◽  
Use Efficiency

Effects of Artificial Shaded-Humid Environment on Growth Characteristics inDifferent Maize Inbred Lines

2013 ◽  
Vol 39 (12) ◽  
pp. 2253
Author(s):  
Qing-Jiu YAN ◽  
Shi-Ping HUO ◽  
Fang-Kui ZHANG ◽  
Xing-Duan ZHANG ◽  
Jian ZHANG ◽  
...  
Keyword(s):  
Inbred Lines ◽  
Growth Characteristics ◽  
Humid Environment ◽  
Maize Inbred Lines

Combining Ability of Maize Inbred Lines from Shaan A Group and Shaan B Group under Different Density Conditions

2017 ◽  
Vol 43 (9) ◽  
pp. 1328 ◽  
Author(s):  
Bo-Xin WANG ◽  
Ya-Hui WANG ◽  
Peng-Fei CHEN ◽  
Xu-Dong-Yu LIU ◽  
Zhi-Qian FENG ◽  
...  
Keyword(s):  
Combining Ability ◽  
Inbred Lines ◽  
Maize Inbred Lines
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