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Growth and nitrogen metabolism are associated with nitrogen-use efficiency in cotton genotypes

机译:生长和氮代谢与棉基因型中的氮气使用效率有关

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Crops, including cotton, are sensitive to nitrogen (N) and excessive use can lead to an increase in production costs and environmental problems. We hypothesized that the use of cotton genotypes with substantial root systems and high genetic potentials for nitrogen-use efficiency (NUE) would best address these problems. Therefore, the interspecific variations and traits contributing to NUE in six cotton genotypes having contrasting NUEs were studied in response to various nitrate concentrations. Large genotypic variations were observed in morphophysiological and biochemical traits, especially shoot dry weight, root traits, and N-assimilating enzyme levels. The roots of all the cotton genotypes were more sensitive to low-than high-nitrate concentrations, and the genotype CCRI-69 had the largest root system irrespective of the nitrate concentration. The root morphological traits were positively correlated with N-utilization efficiency and were more affected by genotype than nitrate concentration. Conversely, growth and N-assimilating enzyme levels were more affected by nitrate concentration and were positively correlated with N-uptake efficiency. Based on shoot dry weight, CCRI-69 and XLZ-30 were identified as N-efficient and N-inefficient genotypes, respectively, and these results were confirmed by their contrasting root systems, N metabolism, and NUEs. In the future, multi-omics techniques will be performed to identify key genes/pathways involved in N metabolism, which may have the potential to improve root architecture and increase NUE.
机译:包括棉花的作物对氮气(n)敏感,过度使用可能导致生产成本和环境问题的增加。我们假设使用具有大量根系系统和高遗传潜力的棉基因型来利用效率效率(NUE)最佳地解决这些问题。因此,响应于各种硝酸盐浓度,研究了六种棉基因型中促进六种棉基因型的含氮的特异性变异和特异性。在语气生理学和生化性状的情况下观察到大型基因型变化,特别是芽干重,根部性状和N-同化酶水平。所有棉基因型的根部对低于高于高硝酸盐浓度更敏感,并且基因型CCRI-69与硝酸盐浓度无关,具有最大的根系。根形态学性状与N利用效率正相关,并且受基因型的影响而不是硝酸盐浓度。相反,通过硝酸盐浓度的增长和N-同化酶水平更大,并与N吸收效率正相关。基于芽干重,CCRI-69和XLZ-30分别被鉴定为N高效和N低效基因型,并通过其对比的根系,N个代谢和NUE来证实这些结果。在未来,将进行多OMICS技术以识别涉及N个代谢的关键基因/途径,这可能具有改善根系结构和增加NUE的潜力。

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