Deep vertical rotary tillage (DVRT) is an innovative soil tillage technology that has been widely adopted in China and shown significant potential in enhancing soil quality, optimizing water use efficiency, and increasing crop yields across diverse ecological and agronomic conditions. DVRT utilizes a vertical spiral drill bit for deep plowing, which preserves soil structure, reduces soil compaction, and improves water retention, making it particularly effective in regions facing climatic challenges such as drought. This review synthesizes the effects of DVRT on soil’s physical and chemical properties, crop root systems, photosynthesis, and water use efficiency, demonstrating its advantages in promoting robust root development and improving nutrient utilization. Although the technology has been applied successfully across various crops and regions, its nationwide adoption remains limited. This paper emphasizes the need for further research to refine the theoretical framework of DVRT and develop tailored strategies for different local conditions. Additionally, integrating DVRT with other agronomic practices and advancing machinery design, supported by policy measures, is essential for maximizing its benefits. In conclusion, DVRT presents a promising approach for sustainable agriculture in China, contributing to improved soil quality, increased crop yields, and enhanced food security.
{"title":"Deep Vertical Rotary Tillage: A Sustainable Agricultural Practice to Improve Soil Quality and Crop Yields in China","authors":"Wenlong Zhang, Jinhua Shao, Kai Huang, Limin Chen, Guanghui Niu, Benhui Wei, Guoqin Huang","doi":"10.3390/agronomy14092060","DOIUrl":"https://doi.org/10.3390/agronomy14092060","url":null,"abstract":"Deep vertical rotary tillage (DVRT) is an innovative soil tillage technology that has been widely adopted in China and shown significant potential in enhancing soil quality, optimizing water use efficiency, and increasing crop yields across diverse ecological and agronomic conditions. DVRT utilizes a vertical spiral drill bit for deep plowing, which preserves soil structure, reduces soil compaction, and improves water retention, making it particularly effective in regions facing climatic challenges such as drought. This review synthesizes the effects of DVRT on soil’s physical and chemical properties, crop root systems, photosynthesis, and water use efficiency, demonstrating its advantages in promoting robust root development and improving nutrient utilization. Although the technology has been applied successfully across various crops and regions, its nationwide adoption remains limited. This paper emphasizes the need for further research to refine the theoretical framework of DVRT and develop tailored strategies for different local conditions. Additionally, integrating DVRT with other agronomic practices and advancing machinery design, supported by policy measures, is essential for maximizing its benefits. In conclusion, DVRT presents a promising approach for sustainable agriculture in China, contributing to improved soil quality, increased crop yields, and enhanced food security.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.3390/agronomy14092057
Mengyuan Song, Xiao Xu, Ye Dong, Daniel Bimpong, Lijun Liu, Yanli Li, Huiquan Shen, Youning Wang
Glutaredoxins (GRXs) are widely distributed oxidoreductase enzymes that play important roles in plant growth, development, and responses to various stresses. In this study, bioinformatics methods were used to identify and analyze the wheat GRX gene family and predict their properties and potential functions. RNA-seq and RT-qPCR expression analyses were used to investigate their regulatory functions under hormone treatment and fungal diseases. In this study, 86 GRX genes were identified in wheat and classified into CC-type, CGFS-type, and CPYC-type categories with no TaGRX located on chromosome 4B. The results show that TaGRXs regulate wheat transcriptional responses and have an integrative role in biotic and abiotic stress responses. TaGRXs are involved in wheat responses to Fusarium graminearum, Puccinia striiformis, and Erysiphe graminis diseases. TaGRX73-7D, TaGRX20-3A, and TaGRX29-3B play a negative regulatory role in E. graminis infection but a positive regulatory role in F. graminearum and P. striiformis infection. These TaGRXs play potential regulatory functions in wheat responses to the plant hormones and signaling molecules, including IAA, ABA, H2O2, and SA. The findings of this study lay the groundwork for further investigation of the functions of wheat GRX genes and their potential use as candidate genes for molecular breeding of stress-resistant wheat varieties.
{"title":"The Roles of Glutaredoxinsin Wheat (Triticum aestivum L.) under Biotic and Abiotic Stress Conditions, including Fungal and Hormone Treatments","authors":"Mengyuan Song, Xiao Xu, Ye Dong, Daniel Bimpong, Lijun Liu, Yanli Li, Huiquan Shen, Youning Wang","doi":"10.3390/agronomy14092057","DOIUrl":"https://doi.org/10.3390/agronomy14092057","url":null,"abstract":"Glutaredoxins (GRXs) are widely distributed oxidoreductase enzymes that play important roles in plant growth, development, and responses to various stresses. In this study, bioinformatics methods were used to identify and analyze the wheat GRX gene family and predict their properties and potential functions. RNA-seq and RT-qPCR expression analyses were used to investigate their regulatory functions under hormone treatment and fungal diseases. In this study, 86 GRX genes were identified in wheat and classified into CC-type, CGFS-type, and CPYC-type categories with no TaGRX located on chromosome 4B. The results show that TaGRXs regulate wheat transcriptional responses and have an integrative role in biotic and abiotic stress responses. TaGRXs are involved in wheat responses to Fusarium graminearum, Puccinia striiformis, and Erysiphe graminis diseases. TaGRX73-7D, TaGRX20-3A, and TaGRX29-3B play a negative regulatory role in E. graminis infection but a positive regulatory role in F. graminearum and P. striiformis infection. These TaGRXs play potential regulatory functions in wheat responses to the plant hormones and signaling molecules, including IAA, ABA, H2O2, and SA. The findings of this study lay the groundwork for further investigation of the functions of wheat GRX genes and their potential use as candidate genes for molecular breeding of stress-resistant wheat varieties.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"176 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.3390/agronomy14092056
Lucia Urbanová, Jana Bilčíková, Dagmar Moravčíková, Jana Žiarovská
Apples are a popular fruit worldwide, with many health and nutritional benefits. However, this fruit is also among those that, particularly in Central and Northern Europe, are allergenic due to the Mal d 1 allergen. Mal d 1 is a homologous allergen to Bet v 1—the main pollen allergen of birch. In this study, two different approaches were used to identify the natural length polymorphism of Bet v 1 homologs in apple varieties, with the aim of characterizing their effectiveness. BBAP (Bet v 1 based amplified polymorphism) and RFLP (restriction fragments length polymorphism) profiles were characterized and compared. RFLP analysis recognizes the genetic diversity of M. domestica Mal d 1 sequences at a relatively low level. In BBAP profiles, the genetic dissimilarity was up to 50%, which appears suitable for intraspecific fingerprinting and serves as an additional method for RFLP analysis. RFLP analysis was able to distinguish some varieties that BBAP could not, such as Sonet.
苹果是一种风靡全球的水果，对健康和营养有很多益处。然而，这种水果也属于因 Mal d 1 过敏原而导致过敏的水果，尤其是在中欧和北欧。Mal d 1 与桦树的主要花粉过敏原 Bet v 1 是同源过敏原。本研究采用了两种不同的方法来鉴定苹果品种中 Bet v 1 同源物的天然长度多态性，以确定其有效性。研究人员对 BBAP（基于 Bet v 1 的扩增多态性）和 RFLP（限制性片段长度多态性）图谱进行了鉴定和比较。RFLP 分析表明，M. domestica Mal d 1 序列的遗传多样性水平相对较低。在 BBAP 图谱中，遗传相似度高达 50%，这似乎适合种内指纹图谱分析，也可作为 RFLP 分析的一种补充方法。RFLP 分析能够区分一些 BBAP 无法区分的品种，如 Sonet。
{"title":"Natural Variability of Genomic Sequences of Mal d 1 Allergen in Apples as Revealed by Restriction Profiles and Homolog Polymorphism","authors":"Lucia Urbanová, Jana Bilčíková, Dagmar Moravčíková, Jana Žiarovská","doi":"10.3390/agronomy14092056","DOIUrl":"https://doi.org/10.3390/agronomy14092056","url":null,"abstract":"Apples are a popular fruit worldwide, with many health and nutritional benefits. However, this fruit is also among those that, particularly in Central and Northern Europe, are allergenic due to the Mal d 1 allergen. Mal d 1 is a homologous allergen to Bet v 1—the main pollen allergen of birch. In this study, two different approaches were used to identify the natural length polymorphism of Bet v 1 homologs in apple varieties, with the aim of characterizing their effectiveness. BBAP (Bet v 1 based amplified polymorphism) and RFLP (restriction fragments length polymorphism) profiles were characterized and compared. RFLP analysis recognizes the genetic diversity of M. domestica Mal d 1 sequences at a relatively low level. In BBAP profiles, the genetic dissimilarity was up to 50%, which appears suitable for intraspecific fingerprinting and serves as an additional method for RFLP analysis. RFLP analysis was able to distinguish some varieties that BBAP could not, such as Sonet.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.3390/agronomy14092059
P. P. Ruwanpathirana, Kazuhito Sakai, G. Y. Jayasinghe, Tamotsu Nakandakari, Kozue Yuge, W. M. C. J. Wijekoon, A. C. P. Priyankara, M. D. S. Samaraweera, P. L. A. Madushanka
Crop monitoring with unmanned aerial vehicles (UAVs) has the potential to reduce field monitoring costs while increasing monitoring frequency and improving efficiency. However, the utilization of RGB-based UAV imagery for crop-specific monitoring, especially for sugarcane, remains limited. This work proposes a UAV platform with an RGB camera as a low-cost solution to monitor sugarcane fields, complementing the commonly used multi-spectral methods. This new approach optimizes the RGB vegetation indices for accurate prediction of sugarcane growth, providing many improvements in scalable crop-management methods. The images were captured by a DJI Mavic Pro drone. Four RGB vegetation indices (VIs) (GLI, VARI, GRVI, and MGRVI) and the crop surface model plant height (CSM_PH) were derived from the images. The fractional vegetation cover (FVC) values were compared by image classification. Sugarcane plant height predictions were generated using two machine learning (ML) algorithms—multiple linear regression (MLR) and random forest (RF)—which were compared across five predictor combinations (CSM_PH and four VIs). At the early stage, all VIs showed significantly lower values than later stages (p < 0.05), indicating an initial slow progression of crop growth. MGRVI achieved a classification accuracy of over 94% across all growth phases, outperforming traditional indices. Based on the feature rankings, VARI was the least sensitive parameter, showing the lowest correlation (r < 0.5) and mutual information (MI < 0.4). The results showed that the RF and MLR models provided better predictions for plant height. The best estimation results were observed withthe combination of CSM_PH and GLI utilizing RF model (R2 = 0.90, RMSE = 0.37 m, MAE = 0.27 m, and AIC = 21.93). This study revealed that VIs and the CSM_PH derived from RGB images captured by UAVs could be useful in monitoring sugarcane growth to boost crop productivity.
{"title":"Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models","authors":"P. P. Ruwanpathirana, Kazuhito Sakai, G. Y. Jayasinghe, Tamotsu Nakandakari, Kozue Yuge, W. M. C. J. Wijekoon, A. C. P. Priyankara, M. D. S. Samaraweera, P. L. A. Madushanka","doi":"10.3390/agronomy14092059","DOIUrl":"https://doi.org/10.3390/agronomy14092059","url":null,"abstract":"Crop monitoring with unmanned aerial vehicles (UAVs) has the potential to reduce field monitoring costs while increasing monitoring frequency and improving efficiency. However, the utilization of RGB-based UAV imagery for crop-specific monitoring, especially for sugarcane, remains limited. This work proposes a UAV platform with an RGB camera as a low-cost solution to monitor sugarcane fields, complementing the commonly used multi-spectral methods. This new approach optimizes the RGB vegetation indices for accurate prediction of sugarcane growth, providing many improvements in scalable crop-management methods. The images were captured by a DJI Mavic Pro drone. Four RGB vegetation indices (VIs) (GLI, VARI, GRVI, and MGRVI) and the crop surface model plant height (CSM_PH) were derived from the images. The fractional vegetation cover (FVC) values were compared by image classification. Sugarcane plant height predictions were generated using two machine learning (ML) algorithms—multiple linear regression (MLR) and random forest (RF)—which were compared across five predictor combinations (CSM_PH and four VIs). At the early stage, all VIs showed significantly lower values than later stages (p < 0.05), indicating an initial slow progression of crop growth. MGRVI achieved a classification accuracy of over 94% across all growth phases, outperforming traditional indices. Based on the feature rankings, VARI was the least sensitive parameter, showing the lowest correlation (r < 0.5) and mutual information (MI < 0.4). The results showed that the RF and MLR models provided better predictions for plant height. The best estimation results were observed withthe combination of CSM_PH and GLI utilizing RF model (R2 = 0.90, RMSE = 0.37 m, MAE = 0.27 m, and AIC = 21.93). This study revealed that VIs and the CSM_PH derived from RGB images captured by UAVs could be useful in monitoring sugarcane growth to boost crop productivity.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To predict the role of the MsICE gene family in the response to abiotic stress, in this study, bioinformatics analysis and real-time fluorescence quantitative PCR were performed. Alfalfa (Medicago sativa) is one of the most economically valuable crops globally. Inducer of CBF expression (ICE), which is part of the basic helix–loop–helix (bHLH) transcription factor (TF) family, acts as a key regulator of cold tolerance. Despite this, there is little information available about ICE genes in alfalfa. Therefore, we studied the function of ICE TFs in alfalfa. We identified 11 MsICE genes from the alfalfa genome and classified them into two groups. Analysis of the protein motif and gene structure revealed relatively high conservation among subgroups of the tightly clustered MsICE genes. Through synteny analysis, we detected duplication events in the MsICE gene family, suggesting that the ICE gene family was formed through fragment duplications. All the MsICE proteins were located in the nucleus according to subcellular localization predictions. The promoter cis-regulatory elements of MsICE genes are largely involved in light (Box 4), hormone (ABRE), and stress (MYB) responses. The MsICE01/MsICE07/MsICE09/MsICE10/MsICE11 genes contained MYB- and MYC-binding motifs, indicating an association with abiotic stress. The specific expression patterns of MsICE genes in leaves were revealed by examining their expression patterns in different tissues. These findings suggest that these genes may sense external environmental changes through leaves. Abiotic stress can cause striking upregulation of MsICE07 (PCA score: −4.03) and MsICE10 (PCA score: −4.05) expression. In this study, candidate genes associated with cold stress were identified, and subsequent molecular biological analyses allowed elucidation of the biological functions of these genes in alfalfa. This research provides a theoretical foundation for enhancing alfalfa yield and quality under cold conditions.
{"title":"Genome-Wide Identification of MsICE Gene Family in Medicago sativa and Expression Analysis of the Response to Abiotic Stress","authors":"Baiji Wang, Qianning Liu, Wen Xu, Yuying Yuan, Muzhapaer Tuluhong, Jinqiu Yu, Guowen Cui","doi":"10.3390/agronomy14092064","DOIUrl":"https://doi.org/10.3390/agronomy14092064","url":null,"abstract":"To predict the role of the MsICE gene family in the response to abiotic stress, in this study, bioinformatics analysis and real-time fluorescence quantitative PCR were performed. Alfalfa (Medicago sativa) is one of the most economically valuable crops globally. Inducer of CBF expression (ICE), which is part of the basic helix–loop–helix (bHLH) transcription factor (TF) family, acts as a key regulator of cold tolerance. Despite this, there is little information available about ICE genes in alfalfa. Therefore, we studied the function of ICE TFs in alfalfa. We identified 11 MsICE genes from the alfalfa genome and classified them into two groups. Analysis of the protein motif and gene structure revealed relatively high conservation among subgroups of the tightly clustered MsICE genes. Through synteny analysis, we detected duplication events in the MsICE gene family, suggesting that the ICE gene family was formed through fragment duplications. All the MsICE proteins were located in the nucleus according to subcellular localization predictions. The promoter cis-regulatory elements of MsICE genes are largely involved in light (Box 4), hormone (ABRE), and stress (MYB) responses. The MsICE01/MsICE07/MsICE09/MsICE10/MsICE11 genes contained MYB- and MYC-binding motifs, indicating an association with abiotic stress. The specific expression patterns of MsICE genes in leaves were revealed by examining their expression patterns in different tissues. These findings suggest that these genes may sense external environmental changes through leaves. Abiotic stress can cause striking upregulation of MsICE07 (PCA score: −4.03) and MsICE10 (PCA score: −4.05) expression. In this study, candidate genes associated with cold stress were identified, and subsequent molecular biological analyses allowed elucidation of the biological functions of these genes in alfalfa. This research provides a theoretical foundation for enhancing alfalfa yield and quality under cold conditions.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-08DOI: 10.3390/agronomy14092054
Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao
The accurate prediction of soil moisture content helps to evaluate the quality of farmland. Taking the black soil in the Nanguan District of Changchun City as the research object, this paper proposes a stacking ensemble learning model integrating hybrid neural networks to address the issue that it is difficult to improve the accuracy of inversion soil moisture content by a single model. First, raw hyperspectral data are processed by removing edge noise and standardization. Then, the gray wolf optimization (GWO) algorithm is adopted to optimize a convolutional neural network (CNN), and a gated recurrent unit (GRU) and an attention mechanism are added to construct a hybrid neural network model (GWO–CNN–GRU–Attention). To estimate soil water content, the hybrid neural network model is integrated into the stacking model along with Bagging and Boosting algorithms and the feedforward neural network. Experimental results demonstrate that the GWO–CNN–GRU–Attention model proposed in this paper can better predict soil water content; the stacking method of integrating hybrid neural networks overcomes the limitations of a single model’s instability and inferior accuracy. The relative prediction deviation (RPD), root mean square error (RMSE), and coefficient of determination (R2) on the test set are 4.577, 0.227, and 0.952, respectively. The average R2 and RPD increased by 0.056 and 1.418 in comparison to the base learner algorithm. The study results lay a foundation for the fast detection of soil moisture content in black soil areas and provide a data source for intelligent irrigation in agriculture.
{"title":"A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning","authors":"Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao","doi":"10.3390/agronomy14092054","DOIUrl":"https://doi.org/10.3390/agronomy14092054","url":null,"abstract":"The accurate prediction of soil moisture content helps to evaluate the quality of farmland. Taking the black soil in the Nanguan District of Changchun City as the research object, this paper proposes a stacking ensemble learning model integrating hybrid neural networks to address the issue that it is difficult to improve the accuracy of inversion soil moisture content by a single model. First, raw hyperspectral data are processed by removing edge noise and standardization. Then, the gray wolf optimization (GWO) algorithm is adopted to optimize a convolutional neural network (CNN), and a gated recurrent unit (GRU) and an attention mechanism are added to construct a hybrid neural network model (GWO–CNN–GRU–Attention). To estimate soil water content, the hybrid neural network model is integrated into the stacking model along with Bagging and Boosting algorithms and the feedforward neural network. Experimental results demonstrate that the GWO–CNN–GRU–Attention model proposed in this paper can better predict soil water content; the stacking method of integrating hybrid neural networks overcomes the limitations of a single model’s instability and inferior accuracy. The relative prediction deviation (RPD), root mean square error (RMSE), and coefficient of determination (R2) on the test set are 4.577, 0.227, and 0.952, respectively. The average R2 and RPD increased by 0.056 and 1.418 in comparison to the base learner algorithm. The study results lay a foundation for the fast detection of soil moisture content in black soil areas and provide a data source for intelligent irrigation in agriculture.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"257 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-08DOI: 10.3390/agronomy14092053
Yanjiao Yang, Jin Li, Mingjiu Yao, Shiyong Chen
Oat (Avena sativa) is one of the most important cereal crops and cool-season forage grasses in the world. The calmodulin-binding transcription activator (CAMTA) gene family is one of the largest families in plants, and it plays vital roles in multiple biological processes. However, the CAMTA genes in oats, especially those involved in abiotic stress, have not yet been elucidated. Herein, our findings reveal the presence of 20 distinct AsCAMTA genes, which were clustered into three subfamilies based on their gene structure and conserved motifs, indicating functional similarities within each subgroup. Chromosomal mapping indicated an uneven distribution across 10 chromosomes, suggesting a complex evolutionary history marked by potential gene duplication events. The results showed that most AsCAMTA genes contained stress-related cis-elements. The study further investigated the expression patterns of these genes under abiotic stress conditions utilizing RT-qPCR analysis. The results identified three AsCAMTA genes (AsCAMTA5, AsCAMTA7, and AsCAMTA19) that exhibited significant up-regulation under salt stress, with AsCAMTA7 also showing a marked increase in expression under drought stress. These findings suggest a pivotal role of AsCAMTA5, AsCAMTA7, and AsCAMTA19 genes in mediating the responses to various abiotic stresses by integrating multiple stress signals in oats. This investigation provides valuable insights into the potential functions of AsCAMTA genes in the stress response mechanisms of oats, laying a foundation for further functional studies aimed at enhancing abiotic stress tolerance in crops.
{"title":"Genome-Wide Identification of CAMTA Gene Family in Oat (Avena sativa) and Expression Analysis under Various Abiotic Stresses","authors":"Yanjiao Yang, Jin Li, Mingjiu Yao, Shiyong Chen","doi":"10.3390/agronomy14092053","DOIUrl":"https://doi.org/10.3390/agronomy14092053","url":null,"abstract":"Oat (Avena sativa) is one of the most important cereal crops and cool-season forage grasses in the world. The calmodulin-binding transcription activator (CAMTA) gene family is one of the largest families in plants, and it plays vital roles in multiple biological processes. However, the CAMTA genes in oats, especially those involved in abiotic stress, have not yet been elucidated. Herein, our findings reveal the presence of 20 distinct AsCAMTA genes, which were clustered into three subfamilies based on their gene structure and conserved motifs, indicating functional similarities within each subgroup. Chromosomal mapping indicated an uneven distribution across 10 chromosomes, suggesting a complex evolutionary history marked by potential gene duplication events. The results showed that most AsCAMTA genes contained stress-related cis-elements. The study further investigated the expression patterns of these genes under abiotic stress conditions utilizing RT-qPCR analysis. The results identified three AsCAMTA genes (AsCAMTA5, AsCAMTA7, and AsCAMTA19) that exhibited significant up-regulation under salt stress, with AsCAMTA7 also showing a marked increase in expression under drought stress. These findings suggest a pivotal role of AsCAMTA5, AsCAMTA7, and AsCAMTA19 genes in mediating the responses to various abiotic stresses by integrating multiple stress signals in oats. This investigation provides valuable insights into the potential functions of AsCAMTA genes in the stress response mechanisms of oats, laying a foundation for further functional studies aimed at enhancing abiotic stress tolerance in crops.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-08DOI: 10.3390/agronomy14092055
Allan Augusto Kokkonen, Samuel Schemmer, Rian Brondani, João Francisco Fornari, Daniéle Gonçalves Papalia, Elena Baldi, Moreno Toselli, Jean Michel Moura-Bueno, Arcângelo Loss, Tadeu Luis Tiecher, Gustavo Brunetto
Fruit crops under soil conservational management might sequester carbon (C) in soils and mitigate greenhouse gases emissions. Using grape pomace residues as soil amendment holds promise for sustainable viticulture. However, its actual capability to increase soil organic carbon (SOC) and nitrogen (N) is unknown, especially in subtropical climates. This research aims to investigate whether grape pomace compost and vermicompost can increase SOC, total N (TN), and C and N stocks in subtropical vineyards. Two vineyards located in Veranópolis, in South Brazil, one cultivated with ‘Isabella’ and the other with ‘Chardonnay’ varieties, were annually amended with these residues for three years. We quantified SOC and TN in each condition in different soil layers, as well as C and N content in two different granulometric fractions: mineral-associated organic matter (MAOM) and particulate organic matter (POM). C and N stocks were also calculated. Despite potential benefits, neither treatment enhanced SOC, its fractions, or C stocks. In fact, vermicompost was rapidly mineralized and depleted SOC and its fractions in the 0.0 to 0.05 m layers of the ‘Isabella’ vineyard. Our findings indicate that the tested grape pomace residues were unable to promote C sequestration in subtropical vineyards after a three-year period.
{"title":"Carbon and Nitrogen Stocks in Vineyard Soils Amended with Grape Pomace Residues","authors":"Allan Augusto Kokkonen, Samuel Schemmer, Rian Brondani, João Francisco Fornari, Daniéle Gonçalves Papalia, Elena Baldi, Moreno Toselli, Jean Michel Moura-Bueno, Arcângelo Loss, Tadeu Luis Tiecher, Gustavo Brunetto","doi":"10.3390/agronomy14092055","DOIUrl":"https://doi.org/10.3390/agronomy14092055","url":null,"abstract":"Fruit crops under soil conservational management might sequester carbon (C) in soils and mitigate greenhouse gases emissions. Using grape pomace residues as soil amendment holds promise for sustainable viticulture. However, its actual capability to increase soil organic carbon (SOC) and nitrogen (N) is unknown, especially in subtropical climates. This research aims to investigate whether grape pomace compost and vermicompost can increase SOC, total N (TN), and C and N stocks in subtropical vineyards. Two vineyards located in Veranópolis, in South Brazil, one cultivated with ‘Isabella’ and the other with ‘Chardonnay’ varieties, were annually amended with these residues for three years. We quantified SOC and TN in each condition in different soil layers, as well as C and N content in two different granulometric fractions: mineral-associated organic matter (MAOM) and particulate organic matter (POM). C and N stocks were also calculated. Despite potential benefits, neither treatment enhanced SOC, its fractions, or C stocks. In fact, vermicompost was rapidly mineralized and depleted SOC and its fractions in the 0.0 to 0.05 m layers of the ‘Isabella’ vineyard. Our findings indicate that the tested grape pomace residues were unable to promote C sequestration in subtropical vineyards after a three-year period.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-07DOI: 10.3390/agronomy14092050
Sadikshya R. Dangi, Brett L. Allen, Jay D. Jabro, Tatyana A. Rand, Joshua W. Campbell, Rosalie B. Calderon
Novel crop rotation is an important factor influencing the composition of soil microorganisms. However, the effect of introducing oilseed and cover crops (CCs) into monoculture durum rotations on soil microbial communities is not clear in the Northern Great Plains. The objective of this study was to evaluate the effects of 2-year durum (Triticum durum D.) rotations with Ethiopian mustard (Brassica carinata A.) or camelina (Camelina sativa L.) or a 10-species forage/CC mix planted to replace fallow rotations with wheat on soil microorganisms. This study was designed as a randomized complete block with three replications in a no-tillage system. The results showed that total bacterial proportion was significantly higher in durum following fallow and camelina compared to durum following CC and carinata. Total fungal proportion was significantly higher in durum following CC compared to durum following oilseed crops and fallow. The fungal-to-bacterial ratio was significantly higher in durum following CC compared to durum following camelina and fallow. The crop species, soil pH and highly variable rainfall influenced the microbial community dynamics. The abundance of specific microbial groups due to crop-related changes might play a key role in the yield of subsequent crops and soil biological health. This study provides valuable insights into the use of CC mix and oilseeds as an alternative crop for fallow in a wheat–fallow system under dryland farming conditions. Future work is required to elucidate the biological mechanisms and functions of the soil microbial communities in the preceding and subsequent crop relative to soil health and crop productivity.
新颖的轮作是影响土壤微生物组成的一个重要因素。然而，在大平原北部，将油料作物和覆盖作物（CC）引入单一种植的硬质小麦轮作中对土壤微生物群落的影响尚不清楚。本研究的目的是评估 2 年硬质小麦（Triticum durum D.）与埃塞俄比亚芥菜（Brassica carinata A.）或荠菜（Camelina sativa L.）轮作，或种植 10 种饲料/CC 混合物以取代小麦休耕轮作对土壤微生物的影响。该研究采用随机完全区组设计，在免耕系统中进行三次重复。结果表明，与种植 CC 和荠菜的硬质小麦相比，种植休耕和荠菜的硬质小麦细菌总数比例明显较高。与种植油料作物和休耕后的硬质小麦相比，种植 CC 后的硬质小麦真菌总数比例明显较高。与种植荠菜和休耕的硬质小麦相比，种植 CC 的硬质小麦中真菌与细菌的比例明显更高。作物种类、土壤 pH 值和多变的降雨量影响了微生物群落的动态变化。与作物相关的变化所导致的特定微生物群的丰度可能对后续作物的产量和土壤生物健康起到关键作用。这项研究为在旱地农业条件下将 CC 混合物和油菜籽用作小麦-休耕系统中的替代作物提供了宝贵的见解。未来的工作需要阐明前茬作物和后茬作物中土壤微生物群落与土壤健康和作物产量相关的生物机制和功能。
{"title":"Soil Microbial Properties of Durum Grown after Camelina, Carinata, Cover Crops, and Fallow","authors":"Sadikshya R. Dangi, Brett L. Allen, Jay D. Jabro, Tatyana A. Rand, Joshua W. Campbell, Rosalie B. Calderon","doi":"10.3390/agronomy14092050","DOIUrl":"https://doi.org/10.3390/agronomy14092050","url":null,"abstract":"Novel crop rotation is an important factor influencing the composition of soil microorganisms. However, the effect of introducing oilseed and cover crops (CCs) into monoculture durum rotations on soil microbial communities is not clear in the Northern Great Plains. The objective of this study was to evaluate the effects of 2-year durum (Triticum durum D.) rotations with Ethiopian mustard (Brassica carinata A.) or camelina (Camelina sativa L.) or a 10-species forage/CC mix planted to replace fallow rotations with wheat on soil microorganisms. This study was designed as a randomized complete block with three replications in a no-tillage system. The results showed that total bacterial proportion was significantly higher in durum following fallow and camelina compared to durum following CC and carinata. Total fungal proportion was significantly higher in durum following CC compared to durum following oilseed crops and fallow. The fungal-to-bacterial ratio was significantly higher in durum following CC compared to durum following camelina and fallow. The crop species, soil pH and highly variable rainfall influenced the microbial community dynamics. The abundance of specific microbial groups due to crop-related changes might play a key role in the yield of subsequent crops and soil biological health. This study provides valuable insights into the use of CC mix and oilseeds as an alternative crop for fallow in a wheat–fallow system under dryland farming conditions. Future work is required to elucidate the biological mechanisms and functions of the soil microbial communities in the preceding and subsequent crop relative to soil health and crop productivity.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-07DOI: 10.3390/agronomy14092046
Tayna Lemos de Oliveira Cunha, Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ana Carina da Silva Cândido Seron, Fernando França da Cunha, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Luis Carlos Vinhas Ítavo, Cid Naudi Silva Campos, Manoel Gustavo Paranhos da Silva, Alejandro Soares Montaño
Agronomic properties are more likely to be impacted by water deficits that affect the nutrient uptake and production of secondary metabolites based on their timing and intensity. The aim of this study was to assess the effects of the water deficit on the nutritional quality of forage sorghum (Sorghum bicolor) hybrids. For that purpose, a factorial, completely randomized experiment was conducted by considering three forage sorghum hybrids (AGRI 002-E, BREVANT SS318, and BRS 658) and two levels of evapotranspiration water replacement (50% and 100% of ETc). Parameters relating to water consumption, secondary metabolites (isoflavones daidzein, daidzin, genistein, and genistin), leaf nutrients (P, K, Ca, Mg, S, Mn, and Zn), and bromatological attributes (dry matter, crude protein, neutral detergent fiber, and mineral material) were evaluated at the end of the crop cycle. Isoflavone levels differed between the hybrids and were highest in water-deficient sorghum. There was a significant interaction between the factors only for the daidzin. The leaf content of the other compounds was influenced either by hybrids (genistein) or by the replacement of evapotranspired water levels (daidzein). The leaf content of P and S was influenced by the interaction between the factors, while the levels of K, Ca, and Mg were influenced by the effect of a single factor. The leaf contents of Mn and Zn were not influenced by the treatments. There was a difference between the hybrids for dry mass and crude protein contents, and hybrids x water deficit was only significant for dry mass. The hybrids Brevant SS318 and BRS 658 had the highest crude protein. The presented results are novel and demonstrate that water deficits can significantly affect the levels of secondary metabolites and the nutritional quality of forage sorghum, depending on the hybrid. The mentioned indices are important parameters for evaluating the nutritional quality and development of agricultural crops, particularly in response to adverse environmental conditions such as water stress.
缺水更有可能影响农艺性状，缺水的时间和强度会影响养分的吸收和次生代谢物的产生。本研究旨在评估缺水对饲用高粱（Sorghum bicolor）杂交种营养品质的影响。为此，研究人员对三种饲用高粱杂交种（AGRI 002-E、BREVANT SS318 和 BRS 658）和两种蒸散水替代水平（50% 和 100% ETc）进行了完全随机的因子试验。在作物周期结束时，评估了与耗水量、次生代谢物（异黄酮-daidzein、daidzin、genistein 和 genistin）、叶片养分（P、K、Ca、Mg、S、Mn 和 Zn）以及溴学属性（干物质、粗蛋白、中性洗涤纤维和矿物质）有关的参数。不同杂交种的异黄酮含量不同，缺水高粱的异黄酮含量最高。各因素之间只有麦冬苷存在明显的交互作用。其他化合物的叶片含量要么受杂交种（染料木素）的影响，要么受蒸腾水量（染料木素）的替代影响。叶片中 P 和 S 的含量受因子间相互作用的影响，而 K、Ca 和 Mg 的含量则受单一因子的影响。锰和锌的叶片含量不受处理的影响。杂交种之间的干重和粗蛋白含量存在差异，杂交种 x 缺水仅对干重有显著影响。杂交种 Brevant SS318 和 BRS 658 的粗蛋白含量最高。上述结果很新颖，表明缺水会显著影响次生代谢物的含量和饲用高粱的营养品质，具体取决于杂交种。上述指标是评价农作物营养质量和生长发育的重要参数，尤其是在应对水胁迫等不利环境条件时。
{"title":"Effect of Water Deficit on Secondary Metabolites and Nutrient Content on Forage Sorghum","authors":"Tayna Lemos de Oliveira Cunha, Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ana Carina da Silva Cândido Seron, Fernando França da Cunha, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Luis Carlos Vinhas Ítavo, Cid Naudi Silva Campos, Manoel Gustavo Paranhos da Silva, Alejandro Soares Montaño","doi":"10.3390/agronomy14092046","DOIUrl":"https://doi.org/10.3390/agronomy14092046","url":null,"abstract":"Agronomic properties are more likely to be impacted by water deficits that affect the nutrient uptake and production of secondary metabolites based on their timing and intensity. The aim of this study was to assess the effects of the water deficit on the nutritional quality of forage sorghum (Sorghum bicolor) hybrids. For that purpose, a factorial, completely randomized experiment was conducted by considering three forage sorghum hybrids (AGRI 002-E, BREVANT SS318, and BRS 658) and two levels of evapotranspiration water replacement (50% and 100% of ETc). Parameters relating to water consumption, secondary metabolites (isoflavones daidzein, daidzin, genistein, and genistin), leaf nutrients (P, K, Ca, Mg, S, Mn, and Zn), and bromatological attributes (dry matter, crude protein, neutral detergent fiber, and mineral material) were evaluated at the end of the crop cycle. Isoflavone levels differed between the hybrids and were highest in water-deficient sorghum. There was a significant interaction between the factors only for the daidzin. The leaf content of the other compounds was influenced either by hybrids (genistein) or by the replacement of evapotranspired water levels (daidzein). The leaf content of P and S was influenced by the interaction between the factors, while the levels of K, Ca, and Mg were influenced by the effect of a single factor. The leaf contents of Mn and Zn were not influenced by the treatments. There was a difference between the hybrids for dry mass and crude protein contents, and hybrids x water deficit was only significant for dry mass. The hybrids Brevant SS318 and BRS 658 had the highest crude protein. The presented results are novel and demonstrate that water deficits can significantly affect the levels of secondary metabolites and the nutritional quality of forage sorghum, depending on the hybrid. The mentioned indices are important parameters for evaluating the nutritional quality and development of agricultural crops, particularly in response to adverse environmental conditions such as water stress.","PeriodicalId":7601,"journal":{"name":"Agronomy","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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