‘S13‐1955C’: A high‐yielding conventional soybean with high oil content, multiple disease resistance, and broad adaptation

2021 ◽  
Author(s):  
P. Chen ◽  
G. Shannon ◽  
A. Scaboo ◽  
M. Crisel ◽  
S. Smothers ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Oil Content ◽  
Multiple Disease Resistance

Developmental morphology and anatomy of the reproductive structures in sunflower (Helianthus annuus): a unified temporal scale

Botany ◽  
2015 ◽  
Vol 93 (5) ◽  
pp. 307-316 ◽  
Author(s):  
L.I. Lindström ◽  
L.F. Hernández
Keyword(s):  
Disease Resistance ◽  
Helianthus Annuus ◽  
Oil Content ◽  
Genetic Selection ◽  
Reproductive Development ◽  
Developmental Morphology ◽  
Male And Female ◽  
Reproductive Structures ◽  
Selection For ◽  
Growing Conditions

In sunflower (Helianthus annuus L.), there has been an intense genetic selection for achenes with agronomic value, such as greater mass, oil content, and disease resistance. However, the information regarding the anatomical events that control their growth and maturation is surprisingly scarce. The aim of the present work was to study sunflower male and female sporogenesis and gametogenesis, as well as cell division and enlargement and tissue differentiation in the ovary and the embryo, linking the timing of these events to two frequently used phenological scales and a thermal time scale. In addition, we propose an ontogenetic scale that integrates the results of the present work to that of previous studies on sunflower reproductive development. The unified scales presented here provide a framework for others to investigate the relationships uncovered in this study in different genetic backgrounds and under different growing conditions.

scholarly journals Comparative analysis of multiple disease resistance in ryegrass and cereal crops

2008 ◽  
Vol 117 (4) ◽  
pp. 531-543 ◽  
Author(s):  
Young-Ki Jo ◽  
Reed Barker ◽  
William Pfender ◽  
Scott Warnke ◽  
Sung-Chur Sim ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Comparative Analysis ◽  
Cereal Crops ◽  
Multiple Disease Resistance

Use of a Maize Advanced Intercross Line for Mapping of QTL for Northern Leaf Blight Resistance and Multiple Disease Resistance

Crop Science ◽  
2010 ◽  
Vol 50 (2) ◽  
pp. 458-466 ◽  
Author(s):  
Peter J. Balint-Kurti ◽  
Junyun Yang ◽  
George Van Esbroeck ◽  
Janelle Jung ◽  
Margaret E. Smith
Keyword(s):  
Disease Resistance ◽  
Leaf Blight ◽  
Blight Resistance ◽  
Northern Leaf Blight ◽  
Advanced Intercross Line ◽  
Multiple Disease Resistance

scholarly journals Meta-Analysis Reveals Consensus Genomic Regions Associated with Multiple Disease Resistance in Wheat ( Triticum Aestivum L.)

2021 ◽  
Author(s):  
Dinesh Kumar Saini ◽  
Amneek Chahal ◽  
Neeraj Pal ◽  
Puja Srivast ◽  
Pushpendra Kumar Gupta
Keyword(s):  
Disease Resistance ◽  
Physical Map ◽  
Association Studies ◽  
Meta Analysis ◽  
Septoria Tritici Blotch ◽  
Septoria Tritici ◽  
Karnal Bunt ◽  
Genome Wide Association Studies ◽  
Head Blight ◽  
Multiple Disease Resistance

Abstract In wheat, meta-QTLs (MQTLs), and candidate genes (CGs) were identified for multiple disease resistance (MDR). For this purpose, information was collected from 58 studies for mapping QTLs for resistance to one or more of the five diseases. As many as 493 QTLs were available from these studies, which were distributed in five diseases as follows: septoria tritici blotch (STB) 126 QTLs; septoria nodorum blotch (SNB), 103; fusarium head blight (FHB), 184; karnal bunt (KB), 66, and loose smut (LS), 14. Of these 493 QTLs, only 291 QTLs could be projected onto a consensus genetic map, giving 63 MQTLs. The CI of the MQTLs ranged from 0.04 to 15.31 cM with an average of 3.09 cM per MQTL. This is a ~ 4.39 fold reduction from the CI of initial QTLs, which ranged from 0 to 197.6 cM, with a mean of 13.57 cM. Of 63 MQTLs, 60 were anchored to the reference physical map of wheat (the physical interval of these MQTLs ranged from 0.30 to 726.01 Mb with an average of 74.09 Mb). Thirty-eight (38) of these MQTLs were verified using marker-trait associations (MTAs) derived from genome-wide association studies. As many as 874 CGs were also identified which were further investigated for differential expression using data from five transcriptome studies, resulting in 194 differentially expressed genes (DEGs). Among the DEGs, 85 genes had functions previously reported to be associated with disease resistance. These results should prove useful for fine mapping of MDR genes and marker-assisted breeding.

Breeding for Multiple Disease Resistance in Cocoa (Theobroma cacao L.)

2012 ◽  
Vol 6 (4) ◽  
pp. 182-194 ◽  
Author(s):  
D. Nyadanu ◽  
R. Akromah ◽  
B. Adomako ◽  
H. Dzahini-Ob ◽  
A.Y. Akrofi ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Theobroma Cacao ◽  
Multiple Disease Resistance ◽  
Theobroma Cacao L

scholarly journals Validation and Characterization of Maize Multiple Disease Resistance QTL

2019 ◽  
Vol 9 (9) ◽  
pp. 2905-2912 ◽  
Author(s):  
Lais B. Martins ◽  
Elizabeth Rucker ◽  
Wade Thomason ◽  
Randall J. Wisser ◽  
James B. Holland ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Resistance Qtl ◽  
Multiple Disease Resistance

scholarly journals Multiple Disease Resistance Loci Affect Soilborne Disease Resistance in Tobacco (Nicotiana tabacum)

2017 ◽  
Vol 107 (9) ◽  
pp. 1055-1061 ◽  
Author(s):  
Katherine Drake-Stowe ◽  
Nicolas Bakaher ◽  
Simon Goepfert ◽  
Berangere Philippon ◽  
Regis Mark ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Dna Markers ◽  
Phytophthora Nicotianae ◽  
Soilborne Pathogens ◽  
High Positive Correlation ◽  
Soilborne Disease ◽  
Breeding Populations ◽  
Multiple Disease Resistance ◽  
Phytophthora Resistance ◽  
Genomic Regions

Phytophthora nicotianae and Ralstonia solanacearum are two of the most important pathogens affecting tobacco worldwide. Greater insight regarding genetic systems controlling resistance to these two soilborne pathogens, as well as identification of DNA markers associated with genomic regions controlling this resistance, could aid in variety development. An evaluation of 50 historical tobacco lines revealed a high positive correlation between resistances to the two pathogens, preliminarily suggesting that some genomic regions may confer resistance to both pathogens. A quantitative trait loci (QTL) mapping experiment designed to investigate the genetic control of soilborne disease resistance of highly resistant ‘K346’ tobacco identified four QTL significantly associated with resistance to P. nicotianae (explaining 60.0% of the observed phenotypic variation) and three QTL to be associated with R. solanacearum resistance (explaining 50.3% of the observed variation). The two QTL with the largest effect on Phytophthora resistance were also found to be the QTL with the greatest effects on resistance to Ralstonia. This finding partially explains previously observed associations between resistances to these two pathogens among U.S. current cultivars and within breeding populations. Further study is needed to determine whether these relationships are due to the same genes (i.e., pleiotropy) or favorable coupling-phase linkages that have been established over time.

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