Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform
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2019
Authors
Qiao, ShengFang, Yan
Wu, Aijiao
Xu, Bingcheng
Zhang, Suiqi
Deng, Xiping
Đalović, Ivica
Siddique, Kadambot H. M.
Chen, Yinglong
Article (Published version)
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Background and aimsThe production of maize (Zea mays L.) is restricted by various edaphic stresses, including drought and low-fertility soil. Searching for genotypes with optimal root traits is a promising practice when breeding for improved adaptation to abiotic stress and resource-use efficiency.MethodsUsing an established semi-hydroponic phenotyping technique, we assessed root trait variability across 174 maize genotypes including 113 cultivars and 11 breeding lines from northern China and 50 Serbian hybrids.ResultsLarge variation in root architecture traits was observed among the tested genotypes 28days after transplanting. Sixteen of the characterized traits had coefficients of variation greater than 0.25, especially local root traits. Root traits including total root length, root length at various depths, total shoot mass and nodal root angle, should be considered in maize breeding programs. Genotype ranking data based on a composite score was used to assist in the selection of g...enotypes with contrasting root architecture traits for future studies.ConclusionThis study identified genotypic variation in root architecture traits in a diverse genotypes of maize. The outcomes of this study could form a basis for maize breeding programs aimed at producing maize cultivars for improved adaptation to target environments.
Keywords:
Maize / Root traits / Phenotyping / Phenotypic variation / Adaptation / Stressed environmentsSource:
Plant & Soil, 2019, 439, 1-2, 75-90Publisher:
- Springer, Dordrecht
Funding / projects:
- National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31471946]
- Chinese Academy of Sciences ("100 Talent" Program) [A315021449]
DOI: 10.1007/s11104-018-3803-6
ISSN: 0032-079X
WoS: 000474429100007
Scopus: 2-s2.0-85053492812
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FiVeRTY - JOUR AU - Qiao, Sheng AU - Fang, Yan AU - Wu, Aijiao AU - Xu, Bingcheng AU - Zhang, Suiqi AU - Deng, Xiping AU - Đalović, Ivica AU - Siddique, Kadambot H. M. AU - Chen, Yinglong PY - 2019 UR - http://fiver.ifvcns.rs/handle/123456789/1853 AB - Background and aimsThe production of maize (Zea mays L.) is restricted by various edaphic stresses, including drought and low-fertility soil. Searching for genotypes with optimal root traits is a promising practice when breeding for improved adaptation to abiotic stress and resource-use efficiency.MethodsUsing an established semi-hydroponic phenotyping technique, we assessed root trait variability across 174 maize genotypes including 113 cultivars and 11 breeding lines from northern China and 50 Serbian hybrids.ResultsLarge variation in root architecture traits was observed among the tested genotypes 28days after transplanting. Sixteen of the characterized traits had coefficients of variation greater than 0.25, especially local root traits. Root traits including total root length, root length at various depths, total shoot mass and nodal root angle, should be considered in maize breeding programs. Genotype ranking data based on a composite score was used to assist in the selection of genotypes with contrasting root architecture traits for future studies.ConclusionThis study identified genotypic variation in root architecture traits in a diverse genotypes of maize. The outcomes of this study could form a basis for maize breeding programs aimed at producing maize cultivars for improved adaptation to target environments. PB - Springer, Dordrecht T2 - Plant & Soil T1 - Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform EP - 90 IS - 1-2 SP - 75 VL - 439 DO - 10.1007/s11104-018-3803-6 ER -
@article{ author = "Qiao, Sheng and Fang, Yan and Wu, Aijiao and Xu, Bingcheng and Zhang, Suiqi and Deng, Xiping and Đalović, Ivica and Siddique, Kadambot H. M. and Chen, Yinglong", year = "2019", abstract = "Background and aimsThe production of maize (Zea mays L.) is restricted by various edaphic stresses, including drought and low-fertility soil. Searching for genotypes with optimal root traits is a promising practice when breeding for improved adaptation to abiotic stress and resource-use efficiency.MethodsUsing an established semi-hydroponic phenotyping technique, we assessed root trait variability across 174 maize genotypes including 113 cultivars and 11 breeding lines from northern China and 50 Serbian hybrids.ResultsLarge variation in root architecture traits was observed among the tested genotypes 28days after transplanting. Sixteen of the characterized traits had coefficients of variation greater than 0.25, especially local root traits. Root traits including total root length, root length at various depths, total shoot mass and nodal root angle, should be considered in maize breeding programs. Genotype ranking data based on a composite score was used to assist in the selection of genotypes with contrasting root architecture traits for future studies.ConclusionThis study identified genotypic variation in root architecture traits in a diverse genotypes of maize. The outcomes of this study could form a basis for maize breeding programs aimed at producing maize cultivars for improved adaptation to target environments.", publisher = "Springer, Dordrecht", journal = "Plant & Soil", title = "Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform", pages = "90-75", number = "1-2", volume = "439", doi = "10.1007/s11104-018-3803-6" }
Qiao, S., Fang, Y., Wu, A., Xu, B., Zhang, S., Deng, X., Đalović, I., Siddique, K. H. M.,& Chen, Y.. (2019). Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform. in Plant & Soil Springer, Dordrecht., 439(1-2), 75-90. https://doi.org/10.1007/s11104-018-3803-6
Qiao S, Fang Y, Wu A, Xu B, Zhang S, Deng X, Đalović I, Siddique KHM, Chen Y. Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform. in Plant & Soil. 2019;439(1-2):75-90. doi:10.1007/s11104-018-3803-6 .
Qiao, Sheng, Fang, Yan, Wu, Aijiao, Xu, Bingcheng, Zhang, Suiqi, Deng, Xiping, Đalović, Ivica, Siddique, Kadambot H. M., Chen, Yinglong, "Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform" in Plant & Soil, 439, no. 1-2 (2019):75-90, https://doi.org/10.1007/s11104-018-3803-6 . .