Zobrazeno 1 - 10
of 501
pro vyhledávání: '"Multiparent Advanced Generation Inter-Cross (MAGIC)"'
Akademický článek
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Autor:
Pratik Satya, Debajeet Das, Nur Alam Mandal, Avijit Kundu, Debabrata Sarkar, Chandan Sourav Kar, Jiban Mitra, Gouranga Kar, Nagendra Kumar Singh
Publikováno v:
Agricultural Research.
Autor:
Cheng Li, Ewa A. Czyż, Rayko Halitschke, Ian T. Baldwin, Michael E. Schaepman, Meredith C. Schuman
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-28 (2023)
Abstract Remote sensing of vegetation by spectroscopy is increasingly used to characterize trait distributions in plant communities. How leaves interact with electromagnetic radiation is determined by their structure and contents of pigments, water,
Externí odkaz:
https://doaj.org/article/5becbeb96e7c4ba0bfeee7b4f88d8bff
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Judith M. Kolkman, Josh Strable, Kate Harline, Dallas E. Kroon, Tyr Wiesner-Hanks, Peter J. Bradbury, Rebecca J. Nelson
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 10, Pp 3611-3622 (2020)
Plant disease resistance is largely governed by complex genetic architecture. In maize, few disease resistance loci have been characterized. Near-isogenic lines are a powerful genetic tool to dissect quantitative trait loci. We analyzed an introgress
Externí odkaz:
https://doaj.org/article/a4f46adb313b4962bbf596519efcd8b9
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 10, Pp 3701-3708 (2020)
Linkage and association mapping populations are crucial public resources that facilitate the characterization of trait genetic architecture in natural and agricultural systems. We define a large nested association mapping panel (NAM) from 14 publicly
Externí odkaz:
https://doaj.org/article/922f1de5ef3b406aabb18c8cf9891dcb
Autor:
Paola Giusti-Rodríguez, James G. Xenakis, James J. Crowley, Randal J. Nonneman, Daniela M. DeCristo, Allison Ryan, Corey R. Quackenbush, Darla R. Miller, Ginger D. Shaw, Vasyl Zhabotynsky, Patrick F. Sullivan, Fernando Pardo Manuel de Villena, Fei Zou
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 9, Pp 3165-3177 (2020)
Schizophrenia is an idiopathic disorder that affects approximately 1% of the human population, and presents with persistent delusions, hallucinations, and disorganized behaviors. Antipsychotics are the standard pharmacological treatment for schizophr
Externí odkaz:
https://doaj.org/article/5f8d499338a344dbb93bdab1443f738f
Autor:
M. Nazmul Huda, Melissa VerHague, Jody Albright, Tangi Smallwood, Timothy A. Bell, Excel Que, Darla R. Miller, Baback Roshanravan, Hooman Allayee, Fernando Pardo Manuel de Villena, Brian J. Bennett
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 7, Pp 2529-2541 (2020)
Plasma concentration of Cystatin C (CysC) level is a biomarker of glomerular filtration rate in the kidney. We use a Systems Genetics approach to investigate the genetic determinants of plasma CysC concentration. To do so we perform Quantitative Trai
Externí odkaz:
https://doaj.org/article/53e92d83c30240cfb55700e552b545f6
Autor:
Xinzhu Zhou, Celine L. St. Pierre, Natalia M. Gonzales, Jennifer Zou, Riyan Cheng, Apurva S. Chitre, Greta Sokoloff, Abraham A. Palmer
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 3, Pp 951-965 (2020)
There has been extensive discussion of the “Replication Crisis” in many fields, including genome-wide association studies (GWAS). We explored replication in a mouse model using an advanced intercross line (AIL), which is a multigenerational inter
Externí odkaz:
https://doaj.org/article/aa0006589c614dc5a557d8cb71f21850
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 7, Pp 2317-2324 (2019)
The high mapping resolution of multiparental populations, combined with technology to measure tens of thousands of phenotypes, presents a need for quantitative methods to enhance understanding of the genetic architecture of complex traits. When multi
Externí odkaz:
https://doaj.org/article/7b234e69ac7943a39c1a0b0cea910262