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Metal accumulation potential, human health risks, and yield attributes of hundred bread wheat genotypes on irrigation with municipal and remediated wastewater
Environmental Science and Pollution Research ( IF 5.8 ) Pub Date : 2021-03-04 , DOI: 10.1007/s11356-021-13085-4
Said Akbar 1 , Zeshan Ali 1, 2, 3 , Sadam Hussain 1 , Ashiq Mohammad 2 , Yousaf Riaz 2 , Adnan Shakeel 4 , Ijaz Ahmad 5 , Maria Mussarat 6 , Riffat Naseem Malik 7 , Kiran Yasmin Khan 8 , Muhammad Sohail 3 , Umar Masood Quraishi 1
Affiliation  

This study was carried out to screen historical diversity panel of bread wheat against municipal wastewater (MW) and remediated wastewater (RW) irrigation to find tolerant and sensitive genotypes and their impact on yield attributes. The experiment was conducted in randomized complete block design (RCBD) with three water treatments, i.e., tap water (TW), RW, and MW. Yield attributes, health risk assessment, water and soil chemistry were recorded. Principal component analysis (PCA) was used to identify tolerant and sensitive genotypes of wheat on the basis of metal accumulation. Metal accumulation in grains increased in pattern K > Fe > Zn in all irrigation treatments. Tolerant genotypes in MW showed lowest hazard quotient (HQ) and hazard index (HI) values (adults 0.62; children 0.67) for Fe and Zn as compared to sensitive genotypes (adults 1.53; children 1.70). However, HI values in sensitive and tolerant genotypes of RW were recorded < 1. Mean values of yield attributes, i.e., plant height, spike length, spikelet per spike, grains per plant, biological yield, grain yield, and thousand kernel weight, were recorded in pattern, i.e., MW > RW > TW. In this study, yield attributes and human health are affected in both cases of higher and lower concentration of Fe and Zn metal. It is suggested that tolerant genotypes can prove useful for cultivation in areas receiving MW and also provide molecular breeding opportunities for seeking tolerance against metal stresses.



中文翻译:

用市政废水和修复废水灌溉时,数百种基因型面包小麦的金属累积潜力,人类健康风险和产量属性

进行这项研究以筛选面包小麦的历史多样性面板免受市政废水(MW)和修复废水(RW)灌溉的影响,以发现耐受和敏感的基因型及其对产量属性的影响。该实验在随机完整区组设计(RCBD)中进行,采用三种水处理,即自来水(TW),RW和MW。记录了产量属性,健康风险评估,水和土壤化学成分。主成分分析(PCA)用于基于金属积累来鉴定小麦的耐性和敏感基因型。在所有灌溉处理中,籽粒中的金属积累均以K> Fe> Zn的方式增加。相对于敏感基因型(成人1),耐性基因型中铁和锌的最低风险商(HQ)和危害指数(HI)值最低(成人0.62;儿童0.67)。53; 儿童1.70)。然而,RW的敏感和耐性基因型中的HI值记录为<1。产量属性的平均值为:株高,穗长,每穗小穗,每株谷物,生物产量,籽粒产量和千粒重。以模式记录,即MW> RW> TW。在这项研究中,铁和锌金属浓度的升高和降低均会影响产量属性和人类健康。建议耐受的基因型可以证明对接受MW的地区的栽培有用,并且还为寻求对金属胁迫的耐受性提供了分子育种的机会。以模式记录生物产量,谷物产量和千粒重,即MW> RW> TW。在这项研究中,铁和锌金属浓度的升高和降低均会影响产量属性和人类健康。建议耐受的基因型可以证明对接受MW的地区的栽培有用,并且还为寻求对金属胁迫的耐受性提供了分子育种的机会。以模式记录生物产量,谷物产量和千粒重,即MW> RW> TW。在这项研究中,铁和锌金属浓度的升高和降低均会影响产量属性和人类健康。建议耐受的基因型可以证明对接受MW的地区的栽培有用,并且还为寻求对金属胁迫的耐受性提供了分子育种的机会。

更新日期:2021-03-04
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