Zobrazeno 1 - 10
of 43
pro vyhledávání: '"SoyNAM"'
Publikováno v:
Crop Journal, Vol 8, Iss 5, Pp 843-854 (2020)
The characterization of genomes with great detail offered by the modern genotyping platforms have opened a venue for accurately predicting the genotype-by-environment interaction (GE) effects of untested genotypes in different environmental condition
Externí odkaz:
https://doaj.org/article/d049d3420ed24a75b8ba18dafc3fc7b7
Autor:
Alencar Xavier, Katy M. Rainey
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 2, Pp 665-675 (2020)
Soybean is a crop of major economic importance with low rates of genetic gains for grain yield compared to other field crops. A deeper understanding of the genetic architecture of yield components may enable better ways to tackle the breeding challen
Externí odkaz:
https://doaj.org/article/bcffbb09bfe74f3ba2d822e9c64b65cf
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
The effects of climate change create formidable challenges for breeders striving to produce sufficient food quantities in rapidly changing environments. It is therefore critical to investigate the ability of multi-environment genomic prediction (GP)
Externí odkaz:
https://doaj.org/article/dc74828fe81a48009950bb49d2d89057
Autor:
Alencar Xavier, Diego Jarquin, Reka Howard, Vishnu Ramasubramanian, James E. Specht, George L. Graef, William D. Beavis, Brian W. Diers, Qijian Song, Perry B. Cregan, Randall Nelson, Rouf Mian, J. Grover Shannon, Leah McHale, Dechun Wang, William Schapaugh, Aaron J. Lorenz, Shizhong Xu, William M. Muir, Katy M. Rainey
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 2, Pp 519-529 (2018)
Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how genotypes perform in different environmental conditions helps breeders develop sustainable cultivars adapted
Externí odkaz:
https://doaj.org/article/2811f8e8f9dd456a9c9f708d5fe8de64
Publikováno v:
Agriculture, Vol 11, Iss 10, p 932 (2021)
The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular mark
Externí odkaz:
https://doaj.org/article/3fb5bb78e42946e79b90abeb97392ccd
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 6, Iss 8, Pp 2611-2616 (2016)
Many economically important traits in plant breeding have low heritability or are difficult to measure. For these traits, genomic selection has attractive features and may boost genetic gains. Our goal was to evaluate alternative scenarios to impleme
Externí odkaz:
https://doaj.org/article/c6b87cc25a2a416dba6e2f1fb4ce3913
Publikováno v:
Agriculture, Vol 10, Iss 8, p 308 (2020)
The availability of molecular markers has revolutionized conventional ways to improve genotypes in plant and animal breeding through genome-based predictions. Several models and methods have been developed to leverage the genomic information in the p
Externí odkaz:
https://doaj.org/article/ecf24420c64044c2b40745e7b346ff45
Publikováno v:
Agriculture
Volume 11
Issue 10
Agriculture, Vol 11, Iss 932, p 932 (2021)
Volume 11
Issue 10
Agriculture, Vol 11, Iss 932, p 932 (2021)
The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular mark
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Publikováno v:
Genetics
Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that can be treated as quantitative traits. Because limitations in precise and functional phenotyping restrain genetic improvement in the postgenomic era, imagery-base