scholarly journals Genome-Wide Association Mapping for Agronomic and Seed Quality Traits of Field Pea (Pisum sativum L.)

2019 ◽  
Vol 10 ◽  
Author(s):  
Krishna Kishore Gali ◽  
Alison Sackville ◽  
Endale G. Tafesse ◽  
V.B. Reddy Lachagari ◽  
Kevin McPhee ◽  
...  
2016 ◽  
Vol 7 ◽  
Author(s):  
Niklas Körber ◽  
Anja Bus ◽  
Jinquan Li ◽  
Isobel A. P. Parkin ◽  
Benjamin Wittkop ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169234 ◽  
Author(s):  
Elisa Biazzi ◽  
Nelson Nazzicari ◽  
Luciano Pecetti ◽  
E. Charles Brummer ◽  
Alberto Palmonari ◽  
...  

2012 ◽  
pp. 37-46 ◽  
Author(s):  
Ariel Castro ◽  
Lorena Cammarota ◽  
Blanca Gomez ◽  
Lucia Gutierrez ◽  
Patrick M. Hayes ◽  
...  

2015 ◽  
Vol 35 (6) ◽  
Author(s):  
Humberto A. Gajardo ◽  
Benjamin Wittkop ◽  
Braulio Soto-Cerda ◽  
Erin E. Higgins ◽  
Isobel A. P. Parkin ◽  
...  

Author(s):  
Sarah Powers ◽  
J Lucas Boatwright ◽  
Dil Thavarajah

Abstract Pea (Pisum sativum L.) is an important cool season food legume for sustainable food production and human nutrition due to its nitrogen fixation capabilities and nutrient-dense seed. However, minimal breeding research has been conducted to improve the nutritional quality of the seed for biofortification, and most genomic-assisted breeding studies utilize small populations with few single nucleotide polymorphisms (SNPs). Genomic resources for pea have lagged behind those of other grain crops, but the recent release of the Pea Single Plant Plus Collection (PSPPC) and the pea reference genome provide new tools to study nutritional traits for biofortification. Calcium, phosphorus, potassium, iron, zinc, and phytic acid concentrations were measured in a study population of 299 different accessions grown under greenhouse conditions. Broad phenotypic variation was detected for all parameters except phytic acid. Calcium exhibited moderate broad-sense heritability (H2) estimates, at 50%, while all other minerals exhibited low heritability. Of the accessions used, 267 were previously genotyped in the PSPPC release by the USDA, and we mapped the genotyping data to the pea reference genome for the first time. This study generated 54,344 high-quality SNPs used to investigate the population structure of the Pea Single Plant Plus Collection and perform a genome-wide association study to identify genomic loci associated with mineral concentrations in mature pea seed. Overall, we were able to identify multiple significant SNPs and candidate genes for iron, phosphorus, and zinc. These results can be used for genetic improvement in pea for nutritional traits and biofortification, and the candidate genes provide insight into mineral metabolism.


PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0141339 ◽  
Author(s):  
W. Tadesse ◽  
F. C. Ogbonnaya ◽  
A. Jighly ◽  
M. Sanchez-Garcia ◽  
Q. Sohail ◽  
...  

2014 ◽  
Vol 127 (4) ◽  
pp. 881-896 ◽  
Author(s):  
Braulio J. Soto-Cerda ◽  
Scott Duguid ◽  
Helen Booker ◽  
Gordon Rowland ◽  
Axel Diederichsen ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Javed Akhatar ◽  
Mohini Prabha Singh ◽  
Anju Sharma ◽  
Harjeevan Kaur ◽  
Navneet Kaur ◽  
...  

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