Uddin Md Shalim, Akter Farzana, Azam Md Golam, Bagum Shamim Ara, Hossain Neelima, Billah Masum, Biswas Priya Lal, Hasibuzzaman Abu Sayeed Md, Khaldun Abul Bashar Mohammad, Alsuhaibani Amnah Mohammed, Gaber Ahmed, Hossain Akbar
Institute of Crop Sciences, Graduate School of Chinese Academy of Agricultural Sciences (GSCAAS), Haidian District, Beijing 100081, China.
Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh.
Plants (Basel). 2023 Jun 30;12(13):2520. doi: 10.3390/plants12132520.
In underdeveloped nations where low-input agriculture is practiced, low phosphorus (LP) in the soil reduces the production of maize. In the present study, a total of 550 inbred maize lines were assessed for seedling traits under LP (2.5 × 10 mol L of KHPO) and NP (2.5 × 10 mol L of KHPO) hydroponic conditions. The purpose of this study was to quantify the amount of variation present in the measured traits, estimate the genetic involvement of these characteristics, examine the phenotypic correlation coefficients between traits, and to integrate this information to prepare a multi-trait selection index for LP tolerance in maize. A great deal of variability in the maize genotype panel was confirmed by descriptive statistics and analysis of variance (ANOVA). Estimated broad-sense heritability (h) ranged from 0.7 to 0.91, indicating intermediate to high heritability values for the measured traits. A substantial connection between MSL and other root traits suggested that the direct selection of MSL (maximum shoot length) could be beneficial for the enhancement of other traits. The principal component analysis (PCA) of the first two main component axes explained approximately 81.27% of the variation between lines for the eight maize seedling variables. TDM (total dry matter), SDW (shoot dry weight), RDW (root dry weight), SFW (shoot fresh weight), RFW (root fresh weight), MRL (maximum root length), and MSL measurements accounted for the majority of the first principal component (59.35%). The multi-trait indices were calculated based on PCA using all the measured traits, and 30 genotypes were selected. These selected lines might be considered as the potential source for the improvement of LP tolerance in maize.
在实行低投入农业的欠发达国家，土壤中低磷会降低玉米产量。在本研究中，总共550个玉米自交系在低磷（2.5×10⁻⁶ mol/L的KH₂PO₄）和正常磷（2.5×10⁻³ mol/L的KH₂PO₄）水培条件下对幼苗性状进行了评估。本研究的目的是量化所测性状中存在的变异量，估计这些性状的遗传参与度，检查性状之间的表型相关系数，并整合这些信息以制定玉米耐低磷的多性状选择指数。描述性统计和方差分析（ANOVA）证实了玉米基因型面板中存在大量变异性。估计的广义遗传力（h²）范围为0.7至0.91，表明所测性状的遗传力值为中等至高。最大茎长（MSL）与其他根系性状之间存在显著联系，这表明直接选择最大茎长可能有利于其他性状的增强。前两个主成分轴的主成分分析（PCA）解释了八个玉米幼苗变量中约81.27%的品系间变异。总干物质（TDM）、地上部干重（SDW）、根系干重（RDW）、地上部鲜重（SFW）、根系鲜重（RFW）、最大根长（MRL）和最大茎长（MSL）测量值占第一主成分的大部分（59.35%）。基于PCA使用所有测量性状计算多性状指数，并选择了30个基因型。这些所选品系可被视为提高玉米耐低磷能力的潜在来源。
