Journal of Agronomy and Crop Science最新文献

{"title":"Monitoring Maize Growth Using a Model for Objective Weight Assignment Based on Multispectral Data From UAV","authors":"Jinghua Zhao,&nbsp;Tingrui Yang,&nbsp;Feng Liu,&nbsp;Shijiao Ma,&nbsp;Mingjie Ma,&nbsp;Yingying Yuan","doi":"10.1111/jac.70039","DOIUrl":"https://doi.org/10.1111/jac.70039","url":null,"abstract":"<div>\u0000 \u0000 <p>Agricultural development and production management crucially depend on efficient and accurate acquisition of crop growth information. This study focuses on maize, employing drones to monitor its growth based on metrics such as plant height (PH), SPAD values and leaf area index (LAI). Using the entropy weighting method (EWM) and coefficient of variation method (CV), comprehensive growth indices, CGMI_EWM and CGMI_CV, were developed. These indices were correlated with 10 vegetation indices to select those with significant relevance. Subsequently, three machine learning methods—partial least squares (PLS), random forest (RF) and particle swarm optimisation-enhanced random forest (PSO-RF)—were utilised to construct models for inversely monitoring maize growth. The optimal model was determined through evaluative metrics, leading to the acquisition of spatial distribution information on maize growth within the study area. The results indicate that the CGMI_EWM derived from the entropy weight method shows a higher correlation than individual indices, significantly enhancing model precision over traditional single-index monitoring. Among the modelling techniques, the PSO-RF model achieved the best predictive accuracy for CGMI_EMW, with a coefficient of determination (<i>R</i>²) of 0.751, root mean square error (<i>RMSE</i>) of 0.102 and mean absolute error (<i>MAE</i>) of 0.074, indicating superior estimation precision over CGMI_CV. Based on the optimal model PSO-RF-CGMI_EMW, the spatial distribution and statistical results of maize inversion imagery demonstrate that the simulation results align well with the experimental data, indicating a good performance of the simulation inversion. This study investigates the development of a model for monitoring maize growth stages and evaluates the effectiveness of the monitoring. The findings verify the precision and reliability of this method, providing vital insights for maize growth monitoring and field management.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainability of Maize–Soybean Rotation for Future Climate Change Scenarios in Northeast China","authors":"Rui Liu,&nbsp;Hongrun Liu,&nbsp;Tianqun Wang,&nbsp;Ting Wang,&nbsp;Zhenzong Lu,&nbsp;Xue Yuan,&nbsp;Zhenwei Song,&nbsp;Runzhi Li","doi":"10.1111/jac.70033","DOIUrl":"https://doi.org/10.1111/jac.70033","url":null,"abstract":"<div>\u0000 \u0000 <p>Climate change poses a global challenge to agricultural production and food security, especially in developing countries. In Northeast China, a major grain-producing region, the Maize–Soybean rotation is crucial for sustainable agricultural development. However, previous studies have mainly focused on single crops and lacked attention to soil health and regional scale analysis. This study utilises the APSIM model to predict crop yields and soil organic carbon (SOC) under two Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5) future climate scenarios in different latitude regions of Northeast China. The result shows that climate change has significant spatial and temporal variations on crop yield and soil organic carbon storage in the Maize–Soybean rotation system. Compared to the baseline (1980–2010), maize yields change from −11.6 to 42.8 kg 10a⁻¹ (RCP4.5) and 7.1 to 39.8 kg 10a⁻¹ (RCP8.5), and soybean yields vary from −13.1 to 3.9 kg 10a⁻¹ (RCP4.5) and −16.2 to −5.6 kg 10a⁻¹ (RCP8.5). SOC increases slowly from 0 to 20 cm and decreases from 20 to 40 cm, resulting in a decrease of 21–334 kg ha⁻¹ 10a⁻¹ (RCP4.5) and 26–280 kg ha⁻¹ 10a⁻¹ (RCP8.5) in predicted future soil organic carbon storage. PLS-PM results show that future precipitation change has a negative impact on SOC accumulation, and temperature rise in the RCP8.5 scenario has a negative impact on SOC storage. SOC storage is positively correlated with crop yields, and the correlation is stronger under RCP8.5, which has a higher explanation for crop yields changes. Climate change significantly affects crop yields and SOC stocks in the Maize–Soybean rotation system of Northeastern China, especially during extreme weather. Therefore, adaptation strategies should fit local needs, early-maturing regions opt for drought-resistant, early varieties and employ conservation tillage and water-saving methods, while medium and late-maturing areas select late varieties, adjust sowing and enhance fertiliser efficiency.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Barley miRNAs and Their Targets Regulation in Response to Heat Stress at the Early Stage of Development","authors":"Katarzyna Kruszka,&nbsp;Andrzej Pacak,&nbsp;Aleksandra Swida-Barteczka,&nbsp;Jacek Kesy,&nbsp;Artur Jarmolowski,&nbsp;Zofia Szweykowska-Kulinska","doi":"10.1111/jac.70045","DOIUrl":"https://doi.org/10.1111/jac.70045","url":null,"abstract":"<p>MiRNAs are key regulators of gene expression, controlling plant development and response to environmental stresses. In this work, we studied the global dynamics of the accumulation of conserved and identified novel barley miRNAs at an early stage of plant development during heat stress (1 h, 3 h and 6 h of heat stress). The majority of miRNAs respond to heat stress after 3 h and 6 h of heat stress duration (124 and 155, respectively). The comparison of heat-induced changes in mature miRNA accumulation to their cognate precursor levels allowed us to indicate a smaller group of miRNAs that are controlled at the transcriptional level and a larger group that is controlled post-transcriptionally in response to heat stress. For miRNAs with significant accumulation changes during heat treatment, target mRNAs were identified. Moreover, novel targets have been experimentally assigned for selected miRNAs. mRNA of the effector protein of miRNA activity, AGO1B, was found to be downregulated by increased miR168 during heat stress. Importantly, the miRNA/mRNA target module miR399c/PHO2, responsible for phosphorus uptake, exhibits dynamic changes under heat stress conditions, suggesting adaptation of plant development to stress conditions. This study provides new data for developing miRNA and their mRNA target-based strategies in barley breeding in response to heat stress.</p>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jac.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Optimising Potassium Levels Improved the Lodging Resistance Index and Soybean Yield in Maize-Soybean Intercropping by Enhanced Stem Diameter and Lignin Synthesis Enzyme Activity”","authors":"","doi":"10.1111/jac.70046","DOIUrl":"https://doi.org/10.1111/jac.70046","url":null,"abstract":"<p>Gu, Y., Guo, D., Li, C., Zheng, C., Li, X., He, F., Tang, Q., Yu, J. and Ren, H. (2025), Optimising Potassium Levels Improved the Lodging Resistance Index and Soybean Yield in Maize-Soybean Intercropping by Enhanced Stem Diameter and Lignin Synthesis Enzyme Activity. <i>J Agro Crop Sci</i>, 211: e70036. https://doi.org/10.1111/jac.70036</p><p>This article had been published online with the incorrectly stated funding text below:</p><p>This research was funded by the Jilin Province Science and Technology Development Plan Project (nos. 20220508097RC, 20230508003RC) and Ning Jiang District Black Soil Protection Monitoring Center, Song Yuan, China.</p><p>The funding has been corrected in the article to state the text below:</p><p>This research was funded by the Jilin Province Science and Technology Development Plan Project (nos. 20220508097RC, 20230508003RC).</p><p>We apologise for this error.</p>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jac.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shoot Apex Differentiation on Freezing Resistance and its Regulatory Genes in the Wheat Seedling Stage","authors":"Chenglong Zhang,&nbsp;Wei Zhao,&nbsp;Guorui Li,&nbsp;Cicong Zhao,&nbsp;Shuo Yuan,&nbsp;Fuzhi Zhang,&nbsp;Kankan Peng,&nbsp;Fengmei Gao,&nbsp;Dan Sun,&nbsp;Lianshuang Fu,&nbsp;Xiaonan Wang","doi":"10.1111/jac.70037","DOIUrl":"https://doi.org/10.1111/jac.70037","url":null,"abstract":"<div>\u0000 \u0000 <p>Evaluating the biological mechanism of winter wheat in resisting freezing stress is important. The aim of this study was to clarify the effect of the shoot apex differentiation status on freezing resistance in wheat and identify regulatory genes. Nongda 5181 (ND5181) and its ethyl methanesulfonate (EMS)-mutated wheat lines were used as research materials. Three wheat varieties showed strong freezing resistance and slow shoot apex differentiation, whereas the other three wheat varieties showed weak freezing resistance and rapid shoot apex differentiation. The results showed that plants with faster shoot apex development differentiated into the double-ridge stage before overwintering, and the re-greening rate was lower than 50%. In contrast, wheat with slower shoot apex differentiation differentiated into the elongation or single-ridge stages, and the re-greening rate exceeded 90%. To identify the genes affecting wheat shoot apex differentiation, RNA sequencing (RNA-seq) was employed to analyse differentially expressed genes in ND5181 and M-8052 (with slower shoot apex differentiation). At the three-leaf stage, most of the ND5181 highly expressed genes were chlorophyll synthesis, protein synthesis-related and resistance genes, whereas those of M-8052 samples were histones and ribosomal proteins. After the three-leaf stage at 40 days, most of the highly expressed genes in ND5181 were related to energy metabolism, development and resistance, whereas those of M-8052 were protein synthesis-related genes or resistance genes.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do Decision Support Tools Allow Farmers to be Better Advised on Nitrogen Fertilisation in Wheat—Rapeseed Crops Succession in Northern France?","authors":"M.- A. Bouchard,&nbsp;A. L. H. Andriamandroso,&nbsp;A. Siah,&nbsp;C. Waterlot,&nbsp;B. Vandoorne,&nbsp;K. S. Andrianarisoa","doi":"10.1111/jac.70032","DOIUrl":"https://doi.org/10.1111/jac.70032","url":null,"abstract":"<div>\u0000 \u0000 <p>The use of sensor- or model-based decision support tools (DSTs) is encouraged to manage crop nitrogen (N) fertilisation, but studies evaluating the obtained advice at the crop succession scale are lacking. The aim of this work was to compare the agronomic performance between the advice obtained by DSTs and that obtained by the reference balance sheet method (BSM) regarding the N fertiliser dose and to evaluate the consequences for soil mineral N (SMN) dynamics. In this investigation, we studied winter wheat/rapeseed/winter wheat crop succession at two experimental sites in northern France according to a randomised block design with four replications. Microplots receiving N fertiliser doses determined by two sensor-based techniques (proximal sensing or PS and remote sensing with a UAV or RS-U) and one model-based DST (dynamic balance model or DBM) were compared to those receiving N fertiliser doses determined by the BSM and to the unfertilised control (T0) plot. In 67% of the studied cases, the N fertiliser dose determined by DSTs was higher than that determined by the BSM, without significant increases in the grain yield and quality: DBM (five out of six cases) &gt; PS (four out of six cases) &gt; RS-U (three out of six cases). The difference in the recommended N fertiliser dose between the DSTs and BSM ranged from −29 to +80 kg N ha⁻¹. The surplus of applied N was underutilised by crops, particularly during dry years, leading to overfertilisation. In our experimental condition, beyond an overfertilisation value of 42 kg N ha⁻¹, a positive relationship was observed between the excess of SMN observed at harvest (<i>R</i>² = 0.39***) and the overfertilisation. Our results indicated high variability of the recommended N fertiliser dose depending on the chosen DSTs, eventually inducing overfertilisation and excess SMN at harvest without significant changes in the grain yield and quality. We consider that improving the analysis of plant or soil N status evolution whilst considering weather parameters in DSTs should improve the accuracy of the provided N fertilisation advice.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capability of Photochemical Reflectance Index to Track Maize Canopy Radiation Use Efficiency and Its Drivers Under Soil Drying","authors":"Huailin Zhou,&nbsp;Qijin He,&nbsp;Guangsheng Zhou,&nbsp;Xingyang Song","doi":"10.1111/jac.70044","DOIUrl":"https://doi.org/10.1111/jac.70044","url":null,"abstract":"<div>\u0000 \u0000 <p>Photochemical reflectance index (PRI) has been a promising indicator for estimating vegetation photosynthetic efficiency. However, its capability to track drought stress-induced changes in canopy radiation use efficiency (RUE) and the underlying mechanisms remains insufficiently explored, largely due to the confounding effects of soil background and canopy characteristics. This study aimed to explain how the canopy PRI responds to drought stress and quantify the relative contributions of soil moisture and canopy characteristics to its variability. Using maize field experimental data across varying drought treatments, we found that drought significantly altered the PRI-RUE relationship, with canopy PRI exhibiting a stronger correlation with RUE under increasing soil drying. This enhancement in the PRI-RUE relationship was primarily attributed to changes in canopy structure and physiological characteristics. Specifically, the fraction of absorbed photosynthetic available radiation (fAPAR), canopy water content (CWC) and canopy chlorophyll content (CCC) were more related to PRI than leaf area index (LAI). While available soil water content (ASWC) was not directly linked to PRI, a positive linear relationship emerged after accounting for the effects of canopy characteristics, particularly fAPAR. Furthermore, fAPAR and LAI were identified as the most important direct and indirect factors influencing canopy PRI, respectively. These findings underscore the importance of considering fAPAR's contribution to accurately estimate photosynthetic efficiency and monitor crop stress under soil drying scenarios. By demonstrating how drought strengthens the PRI-RUE relationship and elucidating its underlying mechanisms, this study provides insights for improving crop stress monitoring and photosynthetic capacity assessment.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soybean Genotypes With Contrasting Root System Size Differ in Saline–Alkaline Tolerance","authors":"Shuo Liu,&nbsp;Tingting An,&nbsp;Yamin Gao,&nbsp;Qiqiang Kuang,&nbsp;Bingcheng Xu,&nbsp;Suiqi Zhang,&nbsp;Xiping Deng,&nbsp;Tuanjie Zhao,&nbsp;Hon-Ming Lam,&nbsp;Sergey Shabala,&nbsp;Yinglong Chen","doi":"10.1111/jac.70040","DOIUrl":"https://doi.org/10.1111/jac.70040","url":null,"abstract":"<p>Soybean (<i>Glycine max</i> L. Merr.) is highly susceptible to saline–alkaline conditions, exhibiting significant genotypic variability in tolerance. The root system plays a pivotal role in saline–alkaline resistance, yet the precise mechanisms, particularly those related to root morphological traits, remain unclear. This study explores genotypic variations in root morphology and saline–alkaline tolerance among diverse soybean genotypes and examines the relationship between root system growth and tolerance mechanisms. Eight soybean genotypes with varying root system sizes were evaluated for saline–alkaline tolerance 26 days after transplantation. Plants were subjected to NaHCO₃ stress (0 and 30 mmol L⁻¹) for 5 days using a semi-hydroponic phenotyping platform in a glasshouse. Saline–alkaline stress caused significant variation in 20 shoot and root traits, as well as 23 physiological and biochemical traits. Transcriptional profiling revealed differential expression of key genes, including <i>GmHKT1;4</i>, <i>GmPLMT</i>, <i>GmERF8</i> and <i>GmWRKY12</i>. Based on the mean relative shoot dry mass ratio, the eight genotypes were categorised as sensitive, moderately tolerant or tolerant. Under saline–alkaline stress, the tolerant, large-rooted genotype Nannong 26 showed increased Ca²⁺ accumulation and upregulation of <i>GmHKT1;4</i> and <i>GmPLMT</i> in both shoots and roots. In contrast, the tolerant, smaller-rooted genotype NJP580 exhibited higher K⁺ accumulation and upregulation of <i>GmERF8</i> and <i>GmWRKY12</i> in shoots and roots. Root dry mass, fine-root length and the upper-to-lower biomass allocation ratio emerged as potential indicators of saline–alkaline tolerance in soybean. These traits may serve as useful proxies for early-stage screening of tolerant genotypes. The identified saline–alkaline-tolerant genotypes offer promise for cultivation in saline–alkaline soils and for breeding high-yielding, stress-tolerant soybean hybrids.</p>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jac.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Salt Free Side Determines the Maize (Zea mays L.) Seedling Growth Performances Under a Heterogeneous Salinity Environment","authors":"Shide Dong,&nbsp;Guangmei Wang,&nbsp;Qian Ma,&nbsp;Haibo Zhang,&nbsp;Shihong Yang,&nbsp;Haonan Qiu,&nbsp;Hongxiu Li","doi":"10.1111/jac.70042","DOIUrl":"https://doi.org/10.1111/jac.70042","url":null,"abstract":"<div>\u0000 \u0000 <p>To understand the impact of salinity heterogeneity on maize growth, a split-root experiment involving both homogeneous and heterogeneous salinity environments was designed. Four homogeneous salinity levels (2, 4, 6 and 8 g L⁻¹), four heterogeneous treatments (0/2, 0/4, 0/6, and 0/8 g L⁻¹) and a control (CK) with 0 g L⁻¹ NaCl were applied to respective sides of split-root pots. Findings revealed that while heterogeneous salinity treatments up to 8 g L⁻¹ did not significantly alter seedling morphology, homogeneous salinity levels above 2 g L⁻¹ markedly inhibited growth. Both salinity stress scenarios enhanced physiological responses in maize leaves, peaking at 6 and 8 g L⁻¹ salinities. Stress-related indexes, including proline, malondialdehyde (MDA) and soluble sugar contents, increased by 105%, 189% and 95%, respectively, under heterogeneous salinity, versus 229%, 370% and 231% under homogeneous conditions, relative to the CK. Interestingly, the partial salinity stress of heterogeneous treatments stimulated root growth on the salt-free side, leading to an 11.7% average increase in root length compared to the control, thereby enhancing water uptake and biomass more effectively than homogeneous treatments. Principal component analysis (PCA) further indicated that heterogeneous salt stress could concurrently bolster morphological and physiological indicators in crops. These results highlight the critical role of salt-free zones in facilitating maize seedling growth and mitigating the adverse effects of salt stress under spatially variable salinity conditions.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-Term High Temperature Alters psbA Gene Expression and D1 Protein Related Photosystem II Function in Rice Seedlings","authors":"Warunya Paethaisong,&nbsp;Manida Suksawat,&nbsp;Anyarin Jirahiranpat,&nbsp;Jutarop Phetcharaburanin,&nbsp;Sadudee Wannapat,&nbsp;Piyada Theerakulpisut,&nbsp;Anoma Dongsansuk","doi":"10.1111/jac.70043","DOIUrl":"https://doi.org/10.1111/jac.70043","url":null,"abstract":"<div>\u0000 \u0000 <p>High temperature disrupts physiological processes in rice, including impairing the function of photosystem II and leading to reduced productivity. However, understanding of the short-term effects of elevated temperatures on photosystem II function and its protein composition in rice seedlings remains limited. This study examined the effect of short-term exposure to elevated temperature (25°C–40°C) on photosystem II function, photosynthetic pigments, <i>psbA</i> gene expression and D1 protein in three rice seedlings, namely Dular, IR64 and KDML105. The findings revealed that a short-term temperature of 30°C–35°C activated photosystem II function, as reflected by improved photosystem II efficiency and increased levels of photosynthetic pigments. In contrast, a temperature of 40°C impaired and suppressed photosystem II function. A short-term temperature of 40°C activated the <i>psbA</i> gene expression and D1 protein synthesis in Dular, while inhibiting these processes in IR64 and KDML105. This suggested that short-term temperatures between 30°C and 35°C were ideal for photosystem II function at the metabolic level, whereas 40°C adversely affected photosystem II function. At the molecular level, Dular demonstrated rapidly repaired <i>psbA</i> gene expression and D1 protein synthesis, with high activity observed after short-term exposure to 40°C. Meanwhile, IR64 and KDML105 experienced significant molecular damage under the same conditions. These findings proved Dular as heat-tolerant, whereas IR64 and KDML105 were classified as heat-sensitive and moderately heat-sensitive, respectively.</p>\u0000 </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"211 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}