Cargando…
Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr)
Photosynthesis (A) and intrinsic water use efficiency (WUE) are physiological traits directly influencing biomass production, conversion efficiency, and grain yield. Though the influence of physiological process on yield is widely known, studies assessing improvement strategies are rare due to labor...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543851/ https://www.ncbi.nlm.nih.gov/pubmed/31178887 http://dx.doi.org/10.3389/fpls.2019.00680 |
_version_ | 1783423150128627712 |
---|---|
author | Lopez, Miguel Angel Xavier, Alencar Rainey, Katy Martin |
author_facet | Lopez, Miguel Angel Xavier, Alencar Rainey, Katy Martin |
author_sort | Lopez, Miguel Angel |
collection | PubMed |
description | Photosynthesis (A) and intrinsic water use efficiency (WUE) are physiological traits directly influencing biomass production, conversion efficiency, and grain yield. Though the influence of physiological process on yield is widely known, studies assessing improvement strategies are rare due to laborious phenotyping and specialized equipment needs. This is one of the first studies to assess the genetic architecture underlying A and intrinsic WUE, as well as to evaluate the feasibility of implementing genomic prediction. A panel of 383 soybean recombinant inbred lines were evaluated in a multi-environment yield trial that included measurements of A and intrinsic WUE, using an infrared gas analyzer during R4–R5 growth stages. Genetic variability was found to support the possibility of genetic improvement through breeding. High genetic correlation between grain yield (GY) and A (0.80) was observed, suggesting increases in GY can be achieved through the improvement of A. Genome-wide association analysis revealed quantitative trait loci (QTLs) for these physiological traits. Cross-validation studies indicated high predictive ability (>0.65) for the implementation of genomic prediction as a viable strategy to improve physiological efficiency while reducing field phenotyping. This work provides core knowledge to develop new soybean cultivars with enhanced photosynthesis and water use efficiency through conventional breeding and genomic techniques. |
format | Online Article Text |
id | pubmed-6543851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65438512019-06-07 Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) Lopez, Miguel Angel Xavier, Alencar Rainey, Katy Martin Front Plant Sci Plant Science Photosynthesis (A) and intrinsic water use efficiency (WUE) are physiological traits directly influencing biomass production, conversion efficiency, and grain yield. Though the influence of physiological process on yield is widely known, studies assessing improvement strategies are rare due to laborious phenotyping and specialized equipment needs. This is one of the first studies to assess the genetic architecture underlying A and intrinsic WUE, as well as to evaluate the feasibility of implementing genomic prediction. A panel of 383 soybean recombinant inbred lines were evaluated in a multi-environment yield trial that included measurements of A and intrinsic WUE, using an infrared gas analyzer during R4–R5 growth stages. Genetic variability was found to support the possibility of genetic improvement through breeding. High genetic correlation between grain yield (GY) and A (0.80) was observed, suggesting increases in GY can be achieved through the improvement of A. Genome-wide association analysis revealed quantitative trait loci (QTLs) for these physiological traits. Cross-validation studies indicated high predictive ability (>0.65) for the implementation of genomic prediction as a viable strategy to improve physiological efficiency while reducing field phenotyping. This work provides core knowledge to develop new soybean cultivars with enhanced photosynthesis and water use efficiency through conventional breeding and genomic techniques. Frontiers Media S.A. 2019-05-24 /pmc/articles/PMC6543851/ /pubmed/31178887 http://dx.doi.org/10.3389/fpls.2019.00680 Text en Copyright © 2019 Lopez, Xavier and Rainey. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Lopez, Miguel Angel Xavier, Alencar Rainey, Katy Martin Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title | Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title_full | Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title_fullStr | Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title_full_unstemmed | Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title_short | Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr) |
title_sort | phenotypic variation and genetic architecture for photosynthesis and water use efficiency in soybean (glycine max l. merr) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543851/ https://www.ncbi.nlm.nih.gov/pubmed/31178887 http://dx.doi.org/10.3389/fpls.2019.00680 |
work_keys_str_mv | AT lopezmiguelangel phenotypicvariationandgeneticarchitectureforphotosynthesisandwateruseefficiencyinsoybeanglycinemaxlmerr AT xavieralencar phenotypicvariationandgeneticarchitectureforphotosynthesisandwateruseefficiencyinsoybeanglycinemaxlmerr AT raineykatymartin phenotypicvariationandgeneticarchitectureforphotosynthesisandwateruseefficiencyinsoybeanglycinemaxlmerr |