TY  - 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 . .