Registration of ‘NC-Miller’ Soybean with High Yield and High Seed-Oil Content

2012 ◽  
Vol 6 (3) ◽  
pp. 294-297 ◽  
Author(s):  
J. W. Burton ◽  
L. M. Miranda ◽  
T. E. Carter ◽  
D. T. Bowman
2020 ◽  
Vol 14 (3) ◽  
pp. 347-356
Author(s):  
P. Chen ◽  
G. Shannon ◽  
M. L. Ali ◽  
A. Scaboo ◽  
M. Crisel ◽  
...  

2021 ◽  
Author(s):  
Nadia Raboanatahiry ◽  
Hongbo Chao ◽  
Jianjie He ◽  
Huaixin Li ◽  
Maoteng Li

Abstract Background Rapeseed is the second most important oil crop in the world. Improving seed yield and seed oil content are the two main highlights for researches. Unfortunately, rapeseed development is frequently affected by different diseases. Extensive researches have been made through many years to develop elite cultivars which could produce high oil, high yield or be resistant to disease. QTL analysis has been one of the most important strategy in genetic deciphering of agronomic characteristics. In order to comprehend the distribution of these QTLs and to uncover the key regions that could simultaneously control multiple traits, 4555 QTLs that have been identified during the last 25 years were aligned in one unique map, and a quantitative genomic map which involved 128 traits from 79 populations developed in 12 countries was constructed. Results The present study revealed 517 regions of overlapping QTLs which harbored 2744 candidate genes and might affect multiple traits, simultaneously. They could be selected to customize super-rapeseed cultivars, including the cultivars which produce high oil content for biofuels production. The gene ontology and the interaction network of those candidates revealed genes which highly interacted with the other genes and might have strong influence on them. The expression and structure of these candidate genes were compared in eight rapeseed accessions and revealed genes of similar structure which were expressed differently. Conclusion The present study enriches our knowledge on rapeseed genome characteristic and diversity, and it also provided indications for rapeseed molecular breeding improvement in the future.


2021 ◽  
Vol 22 (3) ◽  
pp. 1033
Author(s):  
Abirami Rajavel ◽  
Selina Klees ◽  
Johanna-Sophie Schlüter ◽  
Hendrik Bertram ◽  
Kun Lu ◽  
...  

Transcription factors (TFs) and their complex interplay are essential for directing specific genetic programs, such as responses to environmental stresses, tissue development, or cell differentiation by regulating gene expression. Knowledge regarding TF–TF cooperations could be promising in gaining insight into the developmental switches between the cultivars of Brassica napus L., namely Zhongshuang11 (ZS11), a double-low accession with high-oil- content, and Zhongyou821 (ZY821), a double-high accession with low-oil-content. In this regard, we analysed a time series RNA-seq data set of seed tissue from both of the cultivars by mainly focusing on the monotonically expressed genes (MEGs). The consideration of the MEGs enables the capturing of multi-stage progression processes that are orchestrated by the cooperative TFs and, thus, facilitates the understanding of the molecular mechanisms determining seed oil content. Our findings show that TF families, such as NAC, MYB, DOF, GATA, and HD-ZIP are highly involved in the seed developmental process. Particularly, their preferential partner choices as well as changes in their gene expression profiles seem to be strongly associated with the differentiation of the oil content between the two cultivars. These findings are essential in enhancing our understanding of the genetic programs in both cultivars and developing novel hypotheses for further experimental studies.


2020 ◽  
Vol 104 (5) ◽  
pp. 1410-1422
Author(s):  
Shan Tang ◽  
Dong‐Xu Liu ◽  
Shaoping Lu ◽  
Liangqian Yu ◽  
Yuqing Li ◽  
...  

Heredity ◽  
2003 ◽  
Vol 90 (1) ◽  
pp. 39-48 ◽  
Author(s):  
M J Burns ◽  
S R Barnes ◽  
J G Bowman ◽  
M H E Clarke ◽  
C P Werner ◽  
...  

2019 ◽  
Vol 12 (4) ◽  
pp. 582-596 ◽  
Author(s):  
Jun Liu ◽  
Wanjun Hao ◽  
Jing Liu ◽  
Shihang Fan ◽  
Wei Zhao ◽  
...  

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