Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Carla Gho"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
A major focus for genomic prediction has been on improving trait prediction accuracy using combinations of algorithms and the training data sets available from plant breeding multi-environment trials (METs). Any improvements in prediction accuracy ar
Externí odkaz:
https://doaj.org/article/658b512b6b114aacbc1d55c08cddb52e
Autor:
Mark Cooper, Carlos D. Messina, Tom Tang, Carla Gho, Owen M. Powell, Dean W. Podlich, Frank Technow, Graeme L. Hammer
Publikováno v:
Plant Breeding Reviews. :467-585
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c02825c76650a7ef4923423542282dd
https://doi.org/10.1002/9781119874157.ch8
https://doi.org/10.1002/9781119874157.ch8
Autor:
Carlos D Messina, Jose Rotundo, Graeme L Hammer, Carla Gho, Andres Reyes, Yinan Fang, Erik van Oosterom, Lucas Borras, Mark Cooper
Publikováno v:
Journal of Experimental Botany. 73:5503-5513
In the absence of stress, crop growth depends on the amount of light intercepted by the canopy and the conversion efficiency [radiation use efficiency (RUE)]. This study tested the hypothesis that long-term genetic gain for grain yield was partly due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4447c0e46f42f45817ab9e1f33df330d
https://doi.org/10.1093/jxb/erac212
https://doi.org/10.1093/jxb/erac212
A major focus for genomic prediction has been on improving trait prediction accuracy using combinations of algorithms and the training data sets available from plant breeding multi-environment trials (METs). Any improvements in prediction accuracy ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c13c13d6fb8d0fb288b468d04fc9dd80
https://doi.org/10.1101/2022.12.13.520360
https://doi.org/10.1101/2022.12.13.520360
Autor:
Julien F. Linares, Nathan D. Coles, Hua Mo, Jeffrey E. Habben, Sabrina Humbert, Carlos Messina, Tom Tang, Mark Cooper, Carla Gho, Ricardo Carrasco, Javier Carter, Jillian Wicher Flounders, E. Charles Brummer
Transgenes that improve quantitative traits have traditionally been evaluated in one or a few genetic backgrounds across multiple environments. However, testing across multiple genetic backgrounds can be equally important to accurately quantify the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082b7fd4c35453ba4607306f740a1fe3
https://doi.org/10.1101/2022.10.22.513367
https://doi.org/10.1101/2022.10.22.513367
Autor:
Julien F Linares, Nathan D Coles, Hua Mo, Jeff E Habben, Sabrina Humbert, Carlos Messina, Tom Tang, Mark Cooper, Carla Gho, Ricardo Carrasco, Javier Carter, Jillian Wicher Flounders, E Charles Brummer
Transgenes have been successfully commercialized for qualitatively inherited insect and herbicide resistance traits that show similar effects across genetic backgrounds. However, for quantitative traits like yield, genetic background may affect the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21db49c394b3b05827db3527f3489c8
https://doi.org/10.1101/2022.10.22.513364
https://doi.org/10.1101/2022.10.22.513364
Reproductive resilience but not root architecture underpins yield improvement under drought in maize
Autor:
Geoff Graham, Randy Clark, Carlos D. Messina, Daniel McDonald, Tom Tang, Mark E. Cooper, Carla Gho, Andrea Salinas, Graeme Hammer, Hanna Poffenbarger, Yinan Fang
Publikováno v:
Journal of Experimental Botany
Because plants capture water and nutrients through roots, it was proposed that changes in root systems architecture (RSA) might underpin the 3-fold increase in maize (Zea mays L.) grain yield over the last century. Here we show that both RSA and yiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b0d7adc318b00a4e070fcf931df4534
https://doi.org/10.1093/jxb/erab231
https://doi.org/10.1093/jxb/erab231
Publikováno v:
Crop Science. 60:582-604
A Crop Growth Model (CGM) is used to demonstrate a biophysical framework for predicting grain yield outcomes for Genotype by Environment by Management (G×E×M) scenarios. This required development of a CGM to encode contributions of genetic and envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::483c9a994575a8d6fe021354d5bfa8de
https://doi.org/10.1002/csc2.20109
https://doi.org/10.1002/csc2.20109
Autor:
Daniel Ortiz-Barrientos, Dean Podlich, Carlos D. Messina, Kai P. Voss-Fels, Carla Gho, Mark E. Cooper, Frank Technow, Graeme Hammer, Scott Chapman, Owen Powell, Christine A. Beveridge
Publikováno v:
in silico Plants. 3
Plant-breeding programs are designed and operated over multiple cycles to systematically change the genetic makeup of plants to achieve improved trait performance for a Target Population of Environments (TPE). Within each cycle, selection applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b4dd814d2701e9fbfdfe6d226bc1a6
https://doi.org/10.1093/insilicoplants/diaa016
https://doi.org/10.1093/insilicoplants/diaa016
Autor:
Mike Jines, Randy Clark, Carlos D. Messina, Graeme Hammer, Travis A Lee, Dean Podlich, Fred A. van Eeuwijk, Sandra K. Truong, Carla Gho, Ignacio A. Ciampitti, Dan Berning, Mark E. Cooper, José L. Rotundo, Ryan F. McCormick, Christine H. Diepenbrock, Eduardo Mihura, Tom Tang, Matthew J. Smalley
Over the last decade, society witnessed the largest expansion of agricultural land planted with drought tolerant (DT) maize (Zea maysL.) Dedicated efforts to drought breeding led to development of DT maize. Here we show that after two decades of sust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5466cd95f593641b04bcb1b1196997e6
https://doi.org/10.1101/2020.10.29.361337
https://doi.org/10.1101/2020.10.29.361337