Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform

Sheng Qiao, Yan Fang, Aijiao Wu, Bingcheng Xu, Suiqi Zhang, Xiping Deng, Ivica Djalovic, Kadambot Siddique, Yinglong Chen

Research output: Contribution to journalArticlepeer-review

35 Citations (Web of Science)
115 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)75-90
Number of pages16
JournalPlant and Soil
Issue number1-2
Publication statusPublished - 15 Jun 2019


Dive into the research topics of 'Dissecting root trait variability in maize genotypes using the semi-hydroponic phenotyping platform'. Together they form a unique fingerprint.

Cite this