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High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage

文献类型： 外文期刊

作者： Uddin, Md Shalim 1 ; Azam, Md Golam 2 ; Billah, Masum 3 ; Bagum, Shamim Ara 2 ; Biswas, Priya Lal 1 ; Khaldun, Abul Bashar Mohammad 1 ; Hossain, Neelima 1 ; Gaber, Ahmed 5 ; Althobaiti, Yusuf S. 6 ; Abdelhadi, Abdelhadi A. 7 ; Hossain, Akbar 8 ;

作者机构： 1.Chinese Acad Agr Sci GSCAAS, Inst Crop Sci, Grad Sch, Beijing 100081, Peoples R China

2.Bangladesh Agr Res Inst, Gazipur 1701, Bangladesh

3.Chinese Acad Agr Sci, Inst Cotton Res, Anyang 455000, Peoples R China

4.Bangladesh Rice Res Inst BRRI, Gazipur 1701, Bangladesh

5.Taif Univ, Coll Sci, Dept Biol, At Taif 21944, Saudi Arabia

6.Taif Univ, Coll Pharm, Dept Pharmacol & Toxicol, At Taif 1944, Saudi Arabia

7.Cairo Univ, Fac Agr, Genet Dept, Giza 12613, Egypt

8.Bangladesh Wheat & Maize Res Inst, Dept Agron, Dinajpur 5200, Bangladesh

关键词： root network system; low phosphorus; root image; GiA Root software; genetic

期刊名称：AGRONOMY-BASEL （ 影响因子：3.949； 五年影响因子：4.117 ）

ISSN：

年卷期： 2021 年 11 卷 11 期

页码：

收录情况： SCI

摘要： The root system is the important organ of a plant, helping to anchor the plant and take up nutrients from the soil. The purpose of this investigation was to determine the magnitude of the root network system (RNS) through phenotypic variability in a broad range of maize inbred lines. The GiA Root software was used to identify root attributes from images. After germination, the inbred lines were grown hydroponically for 15 days in a high-lux plant growth room with low phosphorus (LP) and normal phosphorus (NP) treatments. Variance analysis revealed a large range of variability present among the inbred lines, with intermediate to high heritabilities ranging from 0.59 to 0.95 for all RNS traits, demonstrating uniformity through the experiments. The proportions of genetic variance ranged from 0.01-0.60 in different maize RNS traits. A strong positive linear relationship between best linear unbiased predictors (BLUPs) with estimated means was found for all the RNS traits. The Euclidean genetic distances between the studied inbred lines ranged from 0.61 to 29.33, showing a higher amount of diversity. More than 79% of the overall genetic variation was explained by the first three principal components, with high loadings from the measurements of network length (NWL), network surface area (NWSA), network perimeter (NWP), network area (NWA), the maximum number of roots (MANR), median number of roots (MENR), network volume (NWV), network convex area (NWCA), specific root length (SRL), network depth (NWD), number of connected components (NCC), and network width (NWW). The biplot of genotype by trait interaction exposed superior genotypes with a relatively high expression of favorable trait combinations. Some outstanding genotypes with higher values of most RNS traits were identified through MGIDI analysis. These lines may be convenient for enhancing LP tolerance in maize.

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