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基于多性状指标的耐旱小麦选择:生理生化分析

Multi-Trait Index-Based Selection of Drought Tolerant Wheat: Physiological and Biochemical Profiling.

作者信息

Mohi-Ud-Din Mohammed, Hossain Md Alamgir, Rohman Md Motiar, Uddin Md Nesar, Haque Md Sabibul, Tahery Mahmudul Hasan, Hasanuzzaman Mirza

机构信息

Department of Crop Botany, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh.

Department of Crop Botany, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.

出版信息

Plants (Basel). 2024 Dec 26;14(1):35. doi: 10.3390/plants14010035.

Abstract

Drought is a detrimental abiotic stress that severely limits wheat growth and productivity worldwide by altering several physiological processes. Thus, understanding the mechanisms of drought tolerance is essential for the selection of drought-resilient features and drought-tolerant cultivars for wheat breeding programs. This exploratory study evaluated 14 wheat genotypes (13 relatively tolerant, one susceptible) for drought endurance based on flag leaf physiological and biochemical traits during the critical grain-filling stage in the field conditions. Measurements included six physiological, seven gas exchange, six photosystem II, six stomatal, three reactive species, seven metabolomic solutes, and two biomass traits. All parameters were significantly influenced by drought, with varying genotypic responses. Hierarchical cluster analysis (HCA) categorized genotypes into three drought tolerance groups based on trait performance. Seven genotypes in Cluster 2 (BARI Gom 26, BARI Gom 33, BD-631, BD-600, BD-9910, BD-9889, BD-637) exhibited superior drought tolerance, characterized by minimal changes in physiological traits and biomass accumulation, reduced oxidative stress markers, and increased accumulation of osmoprotectants. The innovative multi-trait genotype-ideotype distance index (MGIDI) further ranked wheat genotypes in regard to drought tolerance, identifying BARI Gom 33, BARI Gom 26, BD-9889, and BD-600 as top performers. Notably, all these top-ranking genotypes belonged to Cluster 2, previously identified as the highest-performing group in the HCA. The identified genotypes with superior drought tolerance offer valuable genetic resources for enhancing wheat productivity in water-limiting environments. Traits related to photosynthetic activity, biomass gain, leaf conductance, water stress, and osmoprotection showed high selection differentials and heritability in MGIDI analysis, indicating their potential as selection targets for drought-tolerant wheat. Overall, the strategic approaches have yielded novel insights into genotype screening that can be directly applied to deepen our understanding of drought tolerance mechanisms in wheat.

摘要

干旱是一种有害的非生物胁迫,通过改变多种生理过程严重限制了全球小麦的生长和生产力。因此,了解耐旱机制对于为小麦育种计划选择耐旱特性和耐旱品种至关重要。本探索性研究在田间条件下的关键灌浆期,基于旗叶生理和生化特性对14个小麦基因型(13个相对耐旱,1个敏感)的耐旱性进行了评估。测量包括六个生理指标、七个气体交换指标、六个光系统II指标、六个气孔指标、三个活性物种指标、七个代谢溶质指标和两个生物量指标。所有参数均受到干旱的显著影响,基因型反应各不相同。层次聚类分析(HCA)根据性状表现将基因型分为三个耐旱组。第2组的七个基因型(BARI Gom 26、BARI Gom 33、BD - 631、BD - 600、BD - 9910、BD - 9889、BD - 637)表现出卓越的耐旱性,其特征是生理性状和生物量积累变化最小、氧化应激标记物减少以及渗透保护剂积累增加。创新的多性状基因型 - 理想型距离指数(MGIDI)进一步对小麦基因型的耐旱性进行了排名,确定BARI Gom 33、BARI Gom 26、BD - 9889和BD - 600为表现最佳的品种。值得注意的是,所有这些排名靠前的基因型都属于第2组,该组先前在HCA中被确定为表现最佳的组。所鉴定出的具有卓越耐旱性的基因型为在水分限制环境中提高小麦生产力提供了宝贵的遗传资源。在MGIDI分析中,与光合活性、生物量增加、叶片导度、水分胁迫和渗透保护相关的性状表现出高选择差异和遗传力,表明它们作为耐旱小麦选择目标的潜力。总体而言,这些策略性方法为基因型筛选带来了新的见解,可直接用于加深我们对小麦耐旱机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe3/11723105/8a4146f19a3d/plants-14-00035-g001.jpg

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