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Highlighting the cold plasma effect on Wheat performance: Enhancing drought tolerance, and improving baking quality 强调冷等离子体对小麦生产性能的影响:增强耐旱性,改善烘焙品质
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.cpb.2026.100591
Fazileh Esmaeili , Mohammad Ramezani Kaporchali , Khadijeh Razavi , Mohammad Ahmadi , Sara Hejri , Milad Begri , Aboutorab Naeimabadi , Tahmineh Lohrasebi
Plasma treatment is a promising approach to enhance plant growth and stress tolerance, particularly under drought. This study assessed the effects of plasma treatment on the physiological and morphological traits of Triticum aestivum (wheat) under normal and drought conditions.Treatments were applied at two intensities (200 W and 500 W) and varying durations. Fourier Transform Infrared (FTIR) spectroscopy was used to probe potential chemical changes in the seed coat induced by plasma exposure. Our results show that plasma treatment at 500 W with longer duration yielded the most pronounced improvements in morphological and physiological traits. Clustering and heatmap analysis indicated significant increases in stem and root length, soluble sugars, proline content, activities of antioxidant enzymes (SOD and CAT). Field trials corroborated these findings, revealing that plasma treatments markedly enhanced biochemical traits, especially under drought stress. Moreover, the combination of plasma treatment and drought stress produced a time-dependent rise in proline and soluble sugars. Correspondingly, reductions in malondialdehyde (MDA) level suggested diminished membrane oxidative damage. FTIR spectra revealed plasma-induced structural modifications in the seed coat associated with improved water uptake, germination, and seedling establishment. Notably, plasma treatment, particularly under drought, not only increased Wheat flour protein content and Zeleny gluten index but also improved bread volume relative to controls and drought-only treatments. These synergistic effects, together with stable moisture content and enhanced water absorption, support plasma treatment as a strategy to boost drought tolerance and baking quality in Wheat.
等离子体处理是一种很有前途的提高植物生长和抗逆性的方法,特别是在干旱条件下。研究了正常和干旱条件下血浆处理对小麦生理和形态性状的影响。处理采用两种强度(200 W和500 W)和不同的持续时间。利用傅里叶变换红外光谱(FTIR)研究了等离子体暴露对种皮的潜在化学变化。结果表明,500 W的等离子体处理时间较长,其形态和生理性状的改善最为显著。聚类分析和热图分析表明,处理后茎和根长度、可溶性糖、脯氨酸含量、抗氧化酶(SOD和CAT)活性显著增加。田间试验证实了这些发现,表明血浆处理显著提高了生物化学性状,特别是在干旱胁迫下。此外,血浆处理和干旱胁迫的组合产生了脯氨酸和可溶性糖的时间依赖性上升。相应地,丙二醛(MDA)水平的降低表明膜氧化损伤减轻。FTIR光谱显示等离子体诱导的种皮结构改变与提高水分吸收、萌发和幼苗建立有关。值得注意的是,血浆处理,特别是干旱处理,不仅提高了小麦面粉蛋白质含量和Zeleny蛋白指数,而且相对于对照和干旱处理,面包体积也有所增加。这些协同效应,加上稳定的水分含量和增强的吸水率,支持等离子体处理作为提高小麦耐旱性和烘烤品质的策略。
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引用次数: 0
Integrative multi-omics reveals genome evolution and CYP719-mediated BIA biosynthesis in Tinospora sagittata 整合多组学揭示箭状木霉基因组进化和cyp719介导的BIA生物合成
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-03-01 Epub Date: 2026-03-11 DOI: 10.1016/j.cpb.2026.100602
Mohammad Murtaza Alami , Shaohua Shu , Sanbo Liu , Shengqiu Feng , Guozheng Yang , Zhinan Mei , Xuekui Wang
Tinospora sagittata (Oliv.) Gagnep. is an essential medicinal tetraploid plant in the Menispermaceae family. Its tuber, “Radix Tinosporae,” is widely used in Traditional Chinese Medicine and is rich in terpenoids and benzylisoquinoline alkaloids (BIAs). To better understand the biosynthesis of these compounds and the evolution of the T. sagittata genome, we performed comparative genomics with 16 other plant species, estimating its evolutionary placement and divergence time within Ranunculales. Genome evolution analyses revealed one round of tandem duplication approximately 1.5 million years ago and one whole-genome duplication (WGD) around 86.9 Mya. WGD contributed to the expansion of the clade-specific cytochrome P450 gene families in Ranunculales. Genome-wide mining identified genes involved in BIA biosynthesis, and transcriptomic profiling was combined with targeted and untargeted metabolomics to analyze gene expression and metabolite accumulation. Finally, one CYP719 gene candidate (TsA02G014550) was functionally characterized to catalyze the formation of (S)-canadine in the jatrorrhizine biosynthetic pathway. Our integrative genomics, transcriptomics, and metabolomics analyses provide new insights into the evolution of the T. sagittata genome and BIA biosynthesis, supporting future sustainable production of these valuable secondary metabolites.
矢状小孢子虫(橄榄)Gagnep。是一种重要的药用四倍体植物。其块茎“Tinosporae”被广泛用于中药,富含萜类和苯并异喹啉生物碱(BIAs)。为了更好地了解这些化合物的生物合成和箭形霉基因组的进化,我们与其他16个植物物种进行了比较基因组学研究,估计了其在毛茛属植物中的进化位置和分化时间。基因组进化分析揭示了大约150万年前的一轮串联重复和大约86.9亿年前的一次全基因组重复。WGD有助于毛茛属植物枝特异性细胞色素P450基因家族的扩展。全基因组挖掘鉴定了参与BIA生物合成的基因,转录组学分析结合靶向和非靶向代谢组学分析基因表达和代谢物积累。最后,对一个CYP719候选基因(TsA02G014550)进行了功能表征,在麻草酸生物合成途径中催化(S)-canadine的形成。我们的综合基因组学、转录组学和代谢组学分析为弓形虫基因组的进化和BIA的生物合成提供了新的见解,为这些有价值的次生代谢物的未来可持续生产提供了支持。
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引用次数: 0
Comprehensive transcriptome analysis reveals coordinated multi-organ carbon metabolism responses in Medicago truncatula under water deficit stress 综合转录组分析揭示了水亏胁迫下短叶紫花苜蓿多器官碳代谢反应的协调性
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.cpb.2026.100585
Andres Echeverria , Aitziber Calleja-Satrustegui , Ha Duc Chu , Santiago Signorelli , Javier Buezo , Weiqiang Li , Yasuko Watanabe , Yukiko Uehara-Yamaguchi , Komaki Inoue , Kanatani Asaka , Minami Shimizu , Yusuke Kouzai , Lam-Son Phan Tran , Keiichi Mochida , Esther M. Gonzalez
Medicago truncatula (Mt) is a relatively drought-tolerant model legume widely cultivated in Australia. Unlike previous studies that focus on specific plant components, this work reanalyses the metabolite pattern along with transcriptome data to understand the integrated response of the entire plant system to water deficit stress. Physiological and transcriptomic analyses of the leaves, taproots, and fibrous roots were performed in response to moderate and severe drought conditions. Our findings revealed that plants prioritize water supply to aboveground organs, leading to a significant decline in the root system water content during active growth. At the whole plant level, a coordinated upregulation involving LEA proteins, proline, and ABA metabolism was observed. Furthermore, carbohydrate metabolism, essential for sustaining tissue growth, was significantly altered by drought stress. Despite the well-established link between water deficit and reduced photosynthesis, which compromises carbon availability within the plant, the activation of a complete set of sucrose- and starch-degrading and -synthesising enzymes was detected. These enzymes act in concert with hexose and sucrose transporters to remobilise carbon throughout the plant system. In addition to enhanced carbon remobilisation, a notable root-specific downregulation of ethylene synthesis was observed, shedding light on the mechanism regulating plant growth under drought stress. In conclusion, our findings reveal a strong organ-specific and coordinated molecular response across progressive drought stress levels.
苜蓿(Medicago truncatula, Mt)是澳大利亚广泛种植的一种相对耐旱的模式豆科植物。与以往专注于特定植物成分的研究不同,这项工作重新分析了代谢物模式以及转录组数据,以了解整个植物系统对水分亏缺胁迫的综合反应。在中度和重度干旱条件下,对叶片、主根和纤维根进行了生理和转录组学分析。我们的研究结果表明,植物优先向地上器官供水,导致根系水分含量在活跃生长期间显著下降。在整个植株水平上,LEA蛋白、脯氨酸和ABA代谢协同上调。此外,干旱胁迫显著改变了维持组织生长所必需的碳水化合物代谢。尽管水分缺乏和光合作用减少之间存在着明确的联系,这损害了植物内部的碳可用性,但仍检测到一套完整的蔗糖和淀粉降解和合成酶的激活。这些酶与己糖和蔗糖转运蛋白协同作用,在整个植物系统中重新调动碳。除了碳再活化增强外,还观察到乙烯合成的根特异性显著下调,从而揭示了干旱胁迫下植物生长的调节机制。总之,我们的研究结果揭示了一个强大的器官特异性和协调的分子响应在渐进干旱胁迫水平。
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引用次数: 0
Advances in CRISPR/Cas9 genome editing for crop improvement and global food security CRISPR/Cas9基因组编辑技术在作物改良和全球粮食安全方面的进展
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 10.1016/j.cpb.2026.100593
Saba Haider , Aditya Pratap Singh , Binod Panthi , Shilpi R. Sindhu , Nishat Tasnim Safa , Saira Malik , Mehdi Rahimi
Global food security is escalating by population growth, climate change and depletion of basic resources, and explicitly demands the implementation of cutting-edge approaches to improve crop yield, resilience, and nutritional quality. CRISPR/Cas9 technology has transformed modern agriculture by introducing accurate and inherently stable modifications in different plants. This review highlights the latest advancements in the application of CRISPR/Cas9 technology for crop improvement and explores its potential in mitigating global food security. These advancements include the use of base and prime editing to accurately alter metabolic pathways for nutritional enhancements, along with designing Cas variants with limited dependency on PAM, to facilitate editing in complex genome crops like wheat. Moreover, the integration of artificial intelligence-driven target prediction and speed breeding has significantly improved varietal development by shortening breeding period and increasing resilience to various biotic and abiotic stresses. Case studies in cereal (Rice, wheat, maize, and sorghum) and horticultural crops provide evidence of CRISPR’s major contribution towards limiting food security, improving nutritional value, and mitigating postharvest waste. This section also addresses the dynamic regulatory developments in different areas, associated ethical reflections, and approaches to foster fair accessibility stressing the transparent governance and public participation in the implementation of this technique.
全球粮食安全正因人口增长、气候变化和基本资源枯竭而不断升级,明确要求采用尖端方法来提高作物产量、抗灾能力和营养质量。CRISPR/Cas9技术通过在不同的植物中引入精确和固有稳定的修饰,改变了现代农业。本文综述了CRISPR/Cas9技术在作物改良中的最新应用进展,并探讨了其在缓解全球粮食安全方面的潜力。这些进步包括使用碱基和引物编辑来准确地改变代谢途径以增强营养,以及设计对PAM依赖有限的Cas变体,以促进在小麦等复杂基因组作物中进行编辑。此外,人工智能驱动的目标预测与快速育种的结合,通过缩短育种周期和提高对各种生物和非生物胁迫的适应能力,显著改善了品种的发育。谷物(水稻、小麦、玉米和高粱)和园艺作物的案例研究证明了CRISPR在限制粮食安全、提高营养价值和减少收获后浪费方面的重大贡献。本节还讨论了不同领域的动态监管发展,相关的道德反思,以及促进公平可及性的方法,强调透明的治理和公众参与这一技术的实施。
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引用次数: 0
Redefining phytoalexins as engineered defenses for plant disease resistance 重新定义植物抗毒素为植物抗病的工程防御
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-30 DOI: 10.1016/j.cpb.2025.100577
Mohammad Shahid , Zaryab Shafi
Phytoalexins are inducible secondary metabolites that play a pivotal role in the plant’s innate immunity. They function as antimicrobial agents and signal molecules in response to pathogen attack. Structurally diverse groups—such as flavonoids, terpenoids, and alkaloids enable plants to mount broad-spectrum defences. Although natural phytoalexins are central and evolutionarily conserved components of plant defense, their rapid turnover, spatial restriction, and susceptibility to pathogen detoxification can sometimes limit duration or spectrum of protection, particularly under high disease pressure. Therefore, in addition to enhancing their biosynthesis and stability, targeted structural modifications enabled by molecular engineering may further optimize their activity and strengthen durable resistance in crops. Molecular engineering approaches, including transcription factor engineering, metabolic engineering, synthetic biology, CRISPR/Cas9 genome-editing, and epigenetic regulation, offer powerful tools to enhance phytoalexin biosynthesis and functionality. Emerging strategies aim to develop specialized phytoalexins with improved stability, potency, and a broader range of action. When integrated with modern breeding and biotechnological platforms, these molecular innovations can enhance crops resilience. Despite challenges such as metabolic trade-offs, and potential growth–defense imbalances, engineered phytoalexins represent a promising avenue for next-generation plant defense. This review summarizes recent developments, challenges, and prospects of phytoalexins as designer defenses in the molecular engineering era.
植物抗毒素是诱导次生代谢产物,在植物的先天免疫中起关键作用。它们作为抗菌剂和响应病原体攻击的信号分子发挥作用。结构上多样的类黄酮、萜类化合物和生物碱使植物能够建立广谱防御。虽然天然植物抗毒素是植物防御的核心和进化保守成分,但它们的快速周转、空间限制和对病原体解毒的易感性有时会限制保护的持续时间或范围,特别是在高疾病压力下。因此,除了提高它们的生物合成和稳定性外,通过分子工程实现的有针对性的结构修饰可以进一步优化它们的活性,增强作物的耐久抗性。分子工程方法,包括转录因子工程、代谢工程、合成生物学、CRISPR/Cas9基因组编辑和表观遗传调控,为增强植物抗毒素的生物合成和功能提供了强大的工具。新兴战略旨在开发具有更高稳定性、效力和更广泛作用范围的专门植物抗毒素。当与现代育种和生物技术平台相结合时,这些分子创新可以增强作物的抗灾能力。尽管存在代谢权衡和潜在的生长-防御失衡等挑战,但工程植物抗毒素代表了下一代植物防御的有前途的途径。本文综述了分子工程时代植物抗毒素作为设计剂防御的最新进展、面临的挑战和前景。
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引用次数: 0
Plant-microbial symbiosis: Molecular insights and applications in sustainable agriculture 植物-微生物共生:分子洞察及其在可持续农业中的应用
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-01-23 DOI: 10.1016/j.cpb.2026.100587
Gopal Wasudeo Narkhede , G. Harish Kumar , Manchikatla Arun Kumar , Penna Suprasanna
The association of plants and microorganisms is a major determinant that influences plant health, uptake of nutrients, and resilience to climate change. The technological advancements in the fields of genomics, transcriptomics, proteomics, and metabolomics have enabled understanding of these symbiotic interactions at the cellular and molecular levels. The identification of molecular mechanisms that underlie the mutualistic association between plants and different kinds of beneficial microbes, such as mycorrhizal fungi, rhizobia, endophytes, and plant growth-promoting rhizobacteria has revealed major signaling pathways such as the common symbiosis signaling pathway, hormone crosstalk, and microbe-associated molecular patterns. Recent studies have demonstrated that the Common Symbiosis Signaling Pathway (CSSP) is conserved among diverse plant species, and assumes an important role in plant symbiotic interactions. Microbial consortia, notwithstanding their broad potential, are strongly dependent on the context, and their results vary according to factors such as microbial competition, host genotype, and soil heterogeneity, which in turn explain the inconsistencies that have been observed in the field. The partnerships between plants and microbes could lead to exciting transformations for agriculture that’s both sustainable and resilient to climate challenges.
植物和微生物的关联是影响植物健康、营养吸收和对气候变化的适应能力的一个主要决定因素。基因组学、转录组学、蛋白质组学和代谢组学领域的技术进步使人们能够在细胞和分子水平上理解这些共生相互作用。植物与不同种类的有益微生物(如菌根真菌、根瘤菌、内生菌和促进植物生长的根瘤菌)之间互惠关联的分子机制的鉴定揭示了常见共生信号通路、激素串扰和微生物相关分子模式等主要信号通路。近年来的研究表明,共同共生信号通路(Common Symbiosis Signaling Pathway, CSSP)在多种植物物种中具有保守性,在植物共生相互作用中起着重要作用。尽管微生物联合体具有广泛的潜力,但它在很大程度上依赖于环境,其结果根据微生物竞争、宿主基因型和土壤异质性等因素而变化,这反过来解释了在实地观察到的不一致。植物和微生物之间的伙伴关系可能会为农业带来令人兴奋的变革,既可持续又能应对气候挑战。
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引用次数: 0
High-throughput yeast screening and transcriptomic integration identify salt-tolerance genes in Spartina alterniflora 高通量酵母筛选和转录组整合鉴定互花米草耐盐基因
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-11-21 DOI: 10.1016/j.cpb.2025.100564
Jiahui Geng , Shoukun Chen , Qin Shu , Yuanyuan Jiang , Shuqiang Gao , Chun-Ming Liu , Shihua Chen , Huihui Li
Identifying genes that confer salt tolerance is essential for understanding the mechanisms underpinning salt tolerance in plants. Spartina alterniflora, a halophyte with exceptional salt and flooding tolerance and strong reproduction and dispersal capabilities, presents valuable potential for crop improvement and stress tolerance research. Here, we constructed a stress-induced yeast cDNA library and employed high-throughput screening under salt stress to identify 1279 distinct genes. Gene ontology analysis revealed significant enrichment in transcription-related complexes, and these genes were predominantly enriched in categories related to salt stress responses. Transcriptome analysis identified 12,669 differentially expressed genes, and these genes were predominantly enriched in categories related to salt stress responses. By integrating transcriptome data across varying NaCl concentrations with knowledge of the S. alterniflora genome, we screened and identified two key genes: SA_26G130100.m1, encoding a Multidrug and toxic compound extrusion (MATE) protein, and SA_04G199900.m1, a novel protein with unknown function. Both genes exhibited significant expression changes under salt stress. Structural predictions revealed that the MATE transporter SA_26G130100.m1 possesses a compact substrate-binding cavity with unique residue composition, suggesting an evolutionary adaptation for efficient ion transport under salinity. Additionally, a genome-wide analysis of the S. alterniflora gene family encoding MATEs revealed that most members are root-expressed and salt-induced, implying a possible role in mitigating the effects of salt stress. This study provides a robust, highly efficient platform for the large-scale screening and identification of S. alterniflora genes conferring abiotic stress tolerance and offers a valuable genetic resource for advancing salt tolerance breeding programs.
确定赋予耐盐性的基因对于理解植物耐盐机制至关重要。互花米草是一种盐生植物,具有极强的耐盐和耐涝能力,繁殖和传播能力强,在作物改良和抗逆性研究中具有宝贵的潜力。本研究构建了胁迫诱导酵母cDNA文库,并在盐胁迫下进行高通量筛选,鉴定出1279个不同基因。基因本体分析显示转录相关复合物显著富集,这些基因主要富集在盐胁迫响应相关的类别中。转录组分析鉴定出12669个差异表达基因,这些基因主要富集在与盐胁迫反应相关的类别中。通过整合不同NaCl浓度下的转录组数据和互花草基因组知识,我们筛选并鉴定了两个关键基因:SA_26G130100。m1编码一种多药毒性化合物挤出(MATE)蛋白,以及SA_04G199900。M1,一种功能未知的新蛋白。这两个基因在盐胁迫下均表现出显著的表达变化。结构预测显示MATE转运子SA_26G130100。M1具有紧凑的底物结合腔,具有独特的残基组成,表明其在盐度下具有高效离子传输的进化适应性。此外,互花葡萄编码MATEs的基因家族的全基因组分析显示,大多数成员是根表达和盐诱导的,这意味着可能在减轻盐胁迫的影响中起作用。本研究为互花草非生物耐盐基因的大规模筛选和鉴定提供了一个强大、高效的平台,并为推进互花草耐盐育种提供了宝贵的遗传资源。
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引用次数: 0
Genomic loci for priming-induced powdery mildew resistance and plant biomass in wheat 小麦抗白粉病基因位点与植株生物量的关系
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-11-20 DOI: 10.1016/j.cpb.2025.100568
Jennifer Thielmann , Behnaz Soleimani , Andrea Matros , Adam Schikora , Patrick Schäfer , Karl-Heinz Kogel , Gwendolin Wehner
Blumeria graminis f. sp. tritici (Bgt), the causal agent of powdery mildew in wheat, poses a serious threat to yield stability. Although several resistance genes have been identified, many became ineffective due to pathogen adaptation. Priming, a biological process that enhances the defense capacity of plants, has emerged as a promising plant protection strategy. The root-endophytic fungus Serendipita indica is known to induce priming in various host plants. In this study, we investigated S. indica-mediated resistance to Bgt across a genetically diverse panel of 175 winter wheat genotypes. Disease severity was quantified and nine genotypes exhibited significant (p < 0.05) differences in Bgt susceptibility following S. indica treatment. Six genotypes showed reduced, three increased levels of infection. Additionally, shoot (SFW) and root fresh weight (RFW) measurements revealed genotype-specific growth responses to S. indica. A genome-wide association study identified quantitative trait loci (QTLs) significantly associated (LOD ≥ 3) with Bgt resistance, SFW, and RFW under control and primed conditions. Notably, eight QTLs were associated with SFW, two with RFW, and fifteen with Bgt resistance in primed plants, with multiple loci mapped to chromosome 7 A. Across all QTLs, 30 candidate genes were identified, including those involved in resistance pathways such as Flavonoid 3′-hydroxylase, Chaperone protein DnaJ, and Glutathione S-transferase. These findings indicate genetic variation for priming in wheat. The identified candidate genes provide valuable targets for further investigation into the mechanisms of microbe-induced priming and offer a foundation for breeding for Bgt-resistant, S. indica-responsive wheat cultivars with enhanced resilience to biotic stress.
小麦白粉病(Blumeria graminis f. sp. tritici, Bgt)是小麦白粉病的病原菌,严重威胁着产量的稳定。虽然已经确定了几种抗性基因,但由于病原体的适应,许多抗性基因变得无效。启动是一种增强植物防御能力的生物过程,已成为一种很有前途的植物保护策略。已知根内生真菌Serendipita indica在多种寄主植物中诱导启动。在这项研究中,我们在175个不同基因型的冬小麦中研究了S. indica介导的对Bgt的抗性。对疾病严重程度进行量化,9个基因型在印度葡萄球菌治疗后对Bgt的敏感性有显著差异(p <; 0.05)。6个基因型显示感染水平降低,3个基因型显示感染水平升高。此外,茎部(SFW)和根鲜重(RFW)测量结果显示了对籼稻的基因型特异性生长反应。一项全基因组关联研究发现,在对照和启动条件下,数量性状位点(qtl)与Bgt抗性、SFW和RFW显著相关(LOD≥3)。值得注意的是,在引物中,8个qtl与SFW相关,2个与RFW相关,15个与Bgt抗性相关,多个位点定位在7号染色体 A上。在所有qtl中,鉴定出30个候选基因,包括与抗性途径相关的基因,如类黄酮3′-羟化酶、伴侣蛋白DnaJ和谷胱甘肽s -转移酶。这些发现表明小麦的启动存在遗传变异。这些候选基因为进一步研究微生物诱导启动机制提供了有价值的靶点,并为选育抗bbt、对籼稻有反应的小麦品种提供了基础。
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引用次数: 0
High-throughput UAV phenotyping for plot-level harvest index estimation in wheat fields 高通量无人机表型在麦田小区收获指数估算中的应用
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-01-10 DOI: 10.1016/j.cpb.2026.100582
Nisar Ali , Abdul Bais , Jatinder S. Sangha , Richard D. Cuthbert , Yuefeng Ruan
Accurate estimation of the harvest index (HI), the ratio of grain yield to total aboveground biomass (AGB), is crucial for evaluating crop productivity and resource-use efficiency in wheat breeding programs. While traditional HI measurement methods use destructive field sampling, which is labour-intensive and impractical for large-scale breeding trials, recent advances in UAV-based remote sensing now offer non-destructive alternatives capable of delivering high-throughput, plot-level HI estimation. In this study, we present a high-throughput phenotyping framework that combines UAV-based multispectral imaging and ensemble machine learning to estimate HI under field environments. Multispectral data were collected at two key growth stages, anthesis and maturity, using a DJI M300 RTK drone equipped with a RedEdge-P sensor. Vegetation indices (VIs), including the normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and green NDVI (G-NDVI), were extracted using data from sensors and ground truth monitoring and used as predictors to estimate grain yield and AGB for calculating HI. An ensemble learning model, based on a stacking architecture comprising five regressors and a ridge regression meta-learner, was employed to enhance prediction accuracy. Results showed strong correlations between UAV-derived and ground-truth VIs (R2 > 0.94, RMSE < 0.023). The ensemble model demonstrated high accuracy and strong generalization for HI estimation across both experimental sites and growing seasons. At the anthesis stage, the NDVI-based ensemble model achieved the best performance. For the Indian Head site, it yielded a testing R2 of 0.87, RMSE of 4.18 g/p, and NRMSE of 2.73 %, based on a training R2 of 0.83. At the Swift Current site, the model produced a testing R2 of 0.84, RMSE of 8.67 g/p, and NRMSE of 5.67 %. Similarly, at the maturity stage, the NDRE-based ensemble model was the top performer. It recorded a testing R2 of 0.86, RMSE of 7.10 g/p, and NRMSE of 4.64 % at Indian Head, and a testing R2 of 0.83 with an RMSE of 8.06 g/p, and NRMSE of 5.27 % at Swift Current. Across all indices and stages, the ensemble model consistently outperformed individual models, achieving high testing R2 values and low RMSE, which confirms its robustness and predictive power on unseen data. The proposed UAV machine learning framework demonstrates a reliable and non-destructive approach for field-level HI estimation, thereby improving germplasm selection efficiency for yield improvement. It offers a valuable tool for accelerating trait-based wheat breeding and precision agriculture applications.
准确估计收获指数(HI),即粮食产量与地上总生物量(AGB)的比值,对于小麦育种计划中评估作物生产力和资源利用效率至关重要。虽然传统的HI测量方法使用破坏性现场采样,这是劳动密集型的,并且不适合大规模育种试验,但基于无人机的遥感技术的最新进展现在提供了能够提供高通量、地块级HI估计的非破坏性替代方案。在这项研究中,我们提出了一个高通量表型框架,该框架结合了基于无人机的多光谱成像和集成机器学习来估计野外环境下的HI。利用配备RedEdge-P传感器的大疆M300 RTK无人机采集花期和成熟期两个关键生长阶段的多光谱数据。利用传感器和地面实况监测数据提取植被指数(VIs),包括归一化差异植被指数(NDVI)、归一化差异红边指数(NDRE)和绿色NDVI (G-NDVI),并将其作为预测因子估计粮食产量和AGB,用于计算HI。为了提高预测精度,采用了一种基于五个回归量和一个脊回归元学习器的叠加结构的集成学习模型。结果显示,无人机衍生的和地面真实VIs之间存在很强的相关性(R2 > 0.94, RMSE < 0.023)。该模型在不同的试验点和生长季节均具有较高的精度和较强的泛化能力。在开花阶段,基于ndvi的集成模型获得了最好的性能。对于印第安头站点,基于0.83的训练R2,其测试R2为0.87,RMSE为4.18 g/p, NRMSE为2.73 %。在Swift Current站点,该模型产生的测试R2为0.84,RMSE为8.67 g/p, NRMSE为5.67 %。同样,在成熟度阶段,基于nre的集成模型表现最好。在印第安河的测试R2为0.86,RMSE为7.10 g/p, NRMSE为4.64 %;在斯威夫特河的测试R2为0.83,RMSE为8.06 g/p, NRMSE为5.27 %。在所有指标和阶段中,集成模型始终优于单个模型,实现了高测试R2值和低RMSE,这证实了其对未知数据的鲁棒性和预测能力。提出的无人机机器学习框架展示了一种可靠且无损的田间HI估计方法,从而提高了种质选择效率,从而提高了产量。为加快小麦性状育种和精准农业应用提供了有价值的工具。
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引用次数: 0
Corrigendum to “A new method for prediction of Vigna mungo millet disease based on deep learning” [Curr. Plant Biol. 44 (2025) 100562] “基于深度学习的谷子病预测新方法”的勘误表[Curr.]。植物生物学,44 (2025)100562 [j]
IF 4.5 Q1 PLANT SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-01 DOI: 10.1016/j.cpb.2025.100574
Raghvendra Kumar , Chandrakanta Mahanty , Bhawani Sankar Panigrahi , S. Gopal Krishna Patro , Tran Manh Tuan , Le Hoang Son
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引用次数: 0
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Current Plant Biology
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