The validity of carbon isotope discrimination as a screening criterion for grain yield in two barley landraces under deficit irrigation with saline water in southern Tunisia.

IF 1.4 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
M. Bagues, Behrooz Sarabi, J. Ghashghaie, I. Souli, K. Nagaz
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引用次数: 8

Abstract

Arid and semiarid regions with rain shortage and scarce good quality water must make use of low-quality water for irrigation. Consequently, improved plant cultivars for use in these areas should show adaptation capacities to confer drought and salt resistance and allow the cultivation under limited water availabiltiy. The present study was conducted to determine the effect of deficit irrigation with saline water on two local barley landraces, "Karkeni" and "Bengardeni". Plants were saline-irrigated with three watering regimes during tillering, heading, and grain filling stages. Biochemical traits, carbon isotope discrimination (Δ13C), mineral composition, grain yield (GY) and water use efficiency based on grain yield (WUEgy) were evaluated as performance indicators. Almost all of the studied traits (e.g. soluble carbohydrates, proline, ∆13C, Na concentration, and GY) were significantly affected by deficient saline-irrigation regimes at different growth stages. The hierarchical clustering analysis clearly showed that Δ13C placed very close to GY averaging two barley landraces, which was in accordance with the scatter plot result. Multiple linear regression performed between GY as the dependent variable and other traits studied as the independent variables indicated that WUEgy, Δ13C, and soluble carbohydrates significantly explained the variability in GY (R 2=95.64%). A significant positive correlation that observed between ∆13C and GY at three growth stages, indicated that ∆13C may be an important proxy component for indirect selection of yield potential in barley under deficient irrigation regimes with saline water. According to our result, "Karkeni" seems to be more efficient in terms of higher GY, WUEgy, proline and carbohydrate contents, K, Mg and Zn concentrations, as well as lower Δ13C and lipid peroxidation as compared with "Bengardeni", under low osmotic potential imposed by deficient irrigation treatments with saline water, "Karkeni" can thus be selected and used as a parent in order to obtain more tolerant plants against such stresses in future breeding programs.
碳同位素鉴别作为突尼斯南部两个大麦地方品种亏缺盐水灌溉籽粒产量筛选标准的有效性。
干旱半干旱地区雨水短缺,优质水稀缺,必须利用劣质水进行灌溉。因此,用于这些地区的改良植物品种应表现出抗旱和抗盐的适应能力,并允许在有限的水分供应下进行种植。本研究对两个地方大麦品种“Karkeni”和“Bengardeni”进行了亏缺盐水灌溉。在分蘖期、抽穗期和灌浆期分别采用三种灌溉方式对植株进行盐渍灌溉。以生化性状、碳同位素鉴别(Δ13C)、矿物组成、籽粒产量(GY)和基于籽粒产量的水分利用效率(WUEgy)为评价指标。在不同生育期,几乎所有研究性状(如可溶性碳水化合物、脯氨酸、∆13C、Na浓度和GY)都受到缺盐灌溉制度的显著影响。分层聚类分析清楚地表明,Δ13C非常接近GY平均两个大麦地方品种,这与散点图结果一致。以GY为因变量,以其他性状为自变量的多元线性回归分析表明,WUEgy、Δ13C和可溶性碳水化合物对GY的变异有显著的解释(r2 =95.64%)。在三个生长阶段,∆13C与GY呈显著正相关,表明∆13C可能是缺乏盐水灌溉制度下大麦产量潜力间接选择的重要代理成分。根据我们的研究结果,与“Bengardeni”相比,“Karkeni”似乎在更高的GY, WUEgy,脯氨酸和碳水化合物含量,K, Mg和Zn浓度以及更低的Δ13C和脂质过氧化方面效率更高,在盐水灌溉处理造成的低渗透势下,“Karkeni”可以选择并用作亲本,以便在未来的育种计划中获得更耐这种胁迫的植株。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Plant Biotechnology
Plant Biotechnology BIOTECHNOLOGY & APPLIED MICROBIOLOGY-PLANT SCIENCES
CiteScore
2.90
自引率
18.80%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Plant Biotechnology is an international, open-access, and online journal, published every three months by the Japanese Society for Plant Biotechnology. The journal, first published in 1984 as the predecessor journal, “Plant Tissue Culture Letters” and became its present form in 1997 when the society name was renamed to Japanese Society for Plant Cell and Molecular Biology, publishes findings in the areas from basic- to application research of plant biotechnology. The aim of Plant Biotechnology is to publish original and high-impact papers, in the most rapid turnaround time for reviewing, on the plant biotechnology including tissue culture, production of specialized metabolites, transgenic technology, and genome editing technology, and also on the related research fields including molecular biology, cell biology, genetics, plant breeding, plant physiology and biochemistry, metabolic engineering, synthetic biology, and bioinformatics.
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