Article
Plant Sciences
Boris Basile, Natalie Brown, Jose Miguel Valdes, Mariateresa Cardarelli, Pasquale Scognamiglio, Alessandro Mataffo, Youssef Rouphael, Paolo Bonini, Giuseppe Colla
Summary: The study investigated the impact of foliar application of a novel tropical-plant extract as a biostimulant on the yield and fruit quality of Kordia and Regina, two important commercial sweet cherry cultivars. Results showed significant increases in fruit yield in both cultivars and improvements in fruit quality attributes, suggesting the tropical-plant extract as a sustainable and effective alternative to synthetic hormones for sweet cherry cultivation.
Article
Horticulture
Simon Pino, Miguel Palma, Alvaro Sepulveda, Javier Sanchez-Contreras, Mariana Moya, Jose Antonio Yuri
Summary: A study was conducted in a commercial sweet cherry orchard in central Chile to evaluate the effect of rain cover on various aspects of sweet cherry trees. The study found that the rain cover reduced solar radiation and increased air temperature and decreased relative humidity in the upper canopy zone. The trees under rain cover showed increased shoot length and leaf area, but negative effects on fruit firmness and sugar content were observed.
Article
Plant Sciences
Armel S. L. Donkpegan, Anthony Bernard, Teresa Barreneche, Jose Quero-Garcia, Helene Bonnet, Mathieu Fouche, Loick Le Dantec, Benedicte Wenden, Elisabeth Dirlewanger
Summary: In this study, a germplasm collection of 116 sweet cherry accessions was evaluated for 23 agronomic fruit quality traits over 2-6 years. The researchers identified numerous SNP-trait associations for various fruit quality traits and pinpointed several candidate genes involved in phytohormone, calcium, and cell wall metabolisms. A literature review was conducted to compare the results with potential colocalizations of marker-trait associations. This study provides new knowledge on the genetic control of important agronomic traits related to fruit quality.
HORTICULTURE RESEARCH
(2023)
Article
Multidisciplinary Sciences
Christine Schumann, Andreas Winkler, Moritz Knoche
Summary: The swelling of epidermal cell walls in sweet cherry can decrease cell-to-cell adhesion and increase the risk of cracking. Calcium is suggested to decrease this risk by crosslinking cell wall components and decreasing swelling.
SCIENTIFIC REPORTS
(2022)
Article
Plant Sciences
Tobias Brinkmann, Felix Kuhnke, Eckhard Grimm, Moritz Knoche
Summary: The bursting of sweet cherry flesh cells is dependent on their proximity to veins, suggesting heterogeneity in osmotic concentration. By using a novel light microscope technique, it was found that the cells in the flesh burst when exposed to water but not the skin cells. The distance between bursting cells and minor veins was found to be shorter than that between bursting cells and radial veins. Cell bursting tends to occur in clusters and is more concentrated near minor veins.
Article
Horticulture
Andreas Winkler, Moritz Knoche
Summary: The study found that increasing fruit calcium content improves the quality of sweet cherries. Submersion or spraying with various calcium salt solutions affected the calcium mass per fruit, with Ca-formate showing the highest uptake among different calcium salts concentrations.
SCIENTIA HORTICULTURAE
(2021)
Article
Multidisciplinary Sciences
Andreas Winkler, Moritz Knoche
Summary: The study found that the fruit/pedicel junction is the site of preferential calcium uptake and the penetration of calcium is limited by the mobility of the calcium ion in the dried droplet residue when the point of deliquescence of the applied salt exceeds the ambient humidity.
SCIENTIFIC REPORTS
(2021)
Review
Plant Sciences
Edoardo Vignati, Marzena Lipska, Jim M. Dunwell, Mario Caccamo, Andrew J. Simkin
Summary: Fruits play a crucial role in providing vitamins, minerals, and nutrients in the human diet. They also contain compounds that have important nutraceutical properties, including antioxidant and anti-inflammatory effects. Cherries, in particular, are high in bioactive compounds and minerals, and their consumption contributes positively to health.
Article
Horticulture
Rakesh Ranjan, Rajeev Sinha, Lav R. Khot, Matthew Whiting
Summary: The study found that wetness prediction models based on thermal-RGB imagery and in-field weather sensing can help reduce sweet cherry fruit cracking, with high prediction accuracy for two cherry cultivars ('Selah' and 'Skeena'). Cultivar-specific models are needed for accuracy, and these models can be integrated with decision support systems and crop protection techniques for improved crop loss management.
SCIENTIA HORTICULTURAE
(2022)
Article
Plant Sciences
Michail Michailidis, Vaia Styliani Titeli, Evangelos Karagiannis, Kyriaki Feidaki, Ioannis Ganopoulos, Georgia Tanou, Anagnostis Argiriou, Athanassios Molassiotis
Summary: The impact of foliar-applied calcium on the ripening metabolism of sweet cherry fruit was investigated in this study. Exogenous calcium application increased endogenous calcium level in fruit tissue, reduced fruit respiration rate, and decreased fruit cracking traits. Metabolomic and transcriptomic analysis revealed common and tissue-specific metabolic pathways associated with calcium feeding. Calcium affected the expression of genes involved in plant-pathogen interaction, plant hormone signaling, and MAPK signaling pathway, while it depressed the expression of genes related to TCA cycle, oxidative phosphorylation, and starch/sucrose metabolism. This study established the calcium-driven metabolic suites in sweet cherry fruit tissues and demonstrated the importance of calcium in fruit physiology.
PLANT PHYSIOLOGY AND BIOCHEMISTRY
(2022)
Article
Plant Sciences
Marco Bustamante, Ariel Munoz, Iverly Romero, Pamela Osorio, Sergio Manquez, Rocio Arriola, Marjorie Reyes-Diaz, Alejandra Ribera-Fonseca
Summary: Intensive K foliar applications can enhance the firmness and acidity of sweet cherry fruits grown under plastic covers, reducing fruit cracking and pitting while affecting condition defects. However, the effects may significantly vary depending on season and locality.
Article
Plant Sciences
Sampson Li, Renaud Travadon, Florent P. Trouillas
Summary: Fungal canker pathogens commonly infect pruning wounds of sweet cherry trees, leading to branch dieback and productivity loss. This study found that infections by Cal. pulchella are more likely to occur during warm periods such as late spring and early summer, while infections by Cyt. sorbicola and E. lata can occur year-round. The emergence of Cal. pulchella as a major canker pathogen in sweet cherry orchards may be due to a shift in pruning timing.
Article
Plant Sciences
Maria Paz Quiroz, Victor Blanco, Juan Pablo Zoffoli, Marlene Ayala
Summary: This study investigated the effects of vascular restrictions on the distribution of carbohydrates and calcium in sweet cherry fruit and their impacts on fruit quality. The results showed that girdling treatment resulted in larger, sweeter fruit with higher titratable acidity, but softer texture, lower calcium concentrations, and higher N:Ca and K:Ca ratios compared to the control. Interestingly, xylem restriction did not affect fruit calcium concentration, suggesting that the xylem stream alone was sufficient to supply the fruit.
Article
Horticulture
Huimin Zhang, Hongguang Yan, Cuixiang Lu, Hui Lin, Quan Li
Summary: The study showed differences in the chemical components of sweet cherry tree leaves under rain-shelter cultivation and open-field cultivation, with distinct H-1-NMR spectral chemical shifts and slightly stronger C-13-NMR spectral lines in the open-field cultivation sample.
Article
Chemistry, Multidisciplinary
Ying Xin, Zhenzhen Liu, Yuanwei Zhang, Xiaofei Shi, Fusheng Chen, Kunlun Liu
Summary: The fluctuations in temperature during cold chain transport significantly affect the postharvest quality of sweet cherries, leading to changes in color, firmness, and enzymatic activities. Monitoring and controlling temperature fluctuations is crucial for maintaining the quality of sweet cherries during storage and transportation.
Article
Engineering, Chemical
Dandan Fu, Jianfeng Zhou, Andrew M. Scaboo, Xiaofan Niu
Summary: This study evaluated the feasibility of a reflective hyperspectral imaging system in classifying the fatty acid content of single soybean seeds. Results showed that the spectral reflectance of soybean seeds could differentiate different cultivars and accurately estimate oleic acid and linoleic acid content. The technology might be used as a rapid and nondestructive tool for high-throughput phenotyping high oleic soybean.
JOURNAL OF FOOD PROCESS ENGINEERING
(2021)
Article
Environmental Sciences
Eric Oseland, Kent Shannon, Jianfeng Zhou, Felix Fritschi, Mandy D. Bish, Kevin W. Bradley
Summary: The study shows that analyzing spectral variations following auxin injury in soybeans can lead to more precise estimation of yield loss. It also found that in soybean growth stages, there is a greater likelihood of yield loss when injury occurs during later reproductive stages.
Article
Agronomy
Jing Zhou, Huawei Mou, Jianfeng Zhou, Md Liakat Ali, Heng Ye, Pengyin Chen, Henry T. Nguyen
Summary: This study aimed to investigate the potential of estimating flood-induced soybean injuries using UAV-based image features collected at different flight heights. Results show that image features were significantly different at three flight heights, with the best classification performance achieved using features extracted at 20 meters with a 0.9 accuracy for the five-level flooding injury score (FIS).
Article
Agriculture, Multidisciplinary
Aijing Feng, Jianfeng Zhou, Earl D. Vories, Kenneth A. Sudduth
Summary: This study quantified the effects of soil and weather conditions on cotton development and production using temporal aerial imagery data, weather and soil apparent electrical conductivity (ECa). The results showed that soil texture and water stress coefficient have significant impacts on cotton growth.
PRECISION AGRICULTURE
(2022)
Article
Plant Sciences
Jing Zhou, Eduardo Beche, Caio Canella Vieira, Dennis Yungbluth, Jianfeng Zhou, Andrew Scaboo, Pengyin Chen
Summary: The study aimed to investigate the performance of selecting superior soybean breeding lines using image-based secondary traits by comparing them with the selection of breeders. The results showed that the soybean seed yield selected by breeders was significantly higher than that of the non-selected ones, and the model-based selections had a significantly higher average yield than the selection of a breeder, indicating the promising potential of the UAV-based high-throughput phenotyping system in selecting high-yield soybean genotypes.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agronomy
Caio Canella Vieira, Jing Zhou, Cory Cross, James W. Heiser, Brian Diers, Deanna Riechers, Jianfeng Zhou, Diego Hernandez Jarquin, Henry Nguyen, J. Grover Shannon, Pengyin Chen
Summary: This study evaluated yield losses caused by prolonged off-target dicamba exposure and identified soybean genotypes with varying responses to off-target damage. On average, each increment in damage score resulted in an 8.8% decrease in yield, with losses as high as 40%. Genotypes showing the most tolerance had similar yields regardless of their maturity group (MG), indicating that tolerance to off-target dicamba may be conferred by physiological mechanisms other than recovery window length.
Article
Environmental Sciences
Caio Canella Vieira, Shagor Sarkar, Fengkai Tian, Jing Zhou, Diego Jarquin, Henry T. Nguyen, Jianfeng Zhou, Pengyin Chen
Summary: This study developed a method for differentiating soybean response to dicamba using unmanned aerial vehicle imagery and machine learning models. By extracting image features and using artificial neural network and random forest algorithms, the study was able to accurately distinguish the three classes of soybean response to dicamba.
Article
Plant Sciences
Caio Canella Vieira, Jing Zhou, Mariola Usovsky, Tri Vuong, Amanda D. Howland, Dongho Lee, Zenglu Li, Jianfeng Zhou, Grover Shannon, Henry T. Nguyen, Pengyin Chen
Summary: This study utilized machine learning algorithms for genome-wide association studies to identify novel regions of the soybean genome associated with resistance to SRKN. The findings revealed additional minor effect SNPs on Chr. 10 and Chr. 11, expanding our understanding of genetic resistance to SRKN.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Chin Nee Vong, Lance S. Conway, Aijing Feng, Jianfeng Zhou, Newell R. Kitchen, Kenneth A. Sudduth
Summary: This study used UAV imagery and DL modeling to estimate and map corn emergence uniformity. The results showed that the developed method had higher accuracy and lower root-mean-square-error, and field maps were produced to assess the emergence uniformity at different planting depths.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Plant Sciences
Caio Canella Vieira, Diego Jarquin, Emanuel Ferrari do Nascimento, Dongho Lee, Jing Zhou, Scotty Smothers, Jianfeng Zhou, Brian Diers, Dean E. Riechers, Dong Xu, Grover Shannon, Pengyin Chen, Henry T. Nguyen
Summary: This study analyzed the response of soybean to off-target dicamba exposure and identified genomic regions associated with this response. Most soybean accessions showed a moderate response, and no differences were found across maturity groups and centers of origin. Significant associations were identified in certain candidate genes, indicating the possibility of developing non-GM soybean cultivars with improved tolerance to off-target dicamba exposure.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Aijing Feng, Chin Nee Vong, Jing Zhou, Lance S. Conway, Jianfeng Zhou, Earl D. Vories, Kenneth A. Sudduth, Newell R. Kitchen
Summary: Unmanned aerial vehicle (UAV) based remote sensing has been widely used in precision agriculture, and a near-real time image processing pipeline has been developed to improve the positioning accuracy of single UAV images. The pipeline eliminates the need for ground control points and image postprocessing steps, allowing for near-real time processing and potential real-time implementation using an onboard edge computing system.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Chemistry, Analytical
Fengkai Tian, Caio Canella Vieira, Jing Zhou, Jianfeng Zhou, Pengyin Chen
Summary: Weeds are a major issue for agricultural production and will continue to cause yield losses due to climate change. The use of dicamba to control weeds in genetically engineered dicot crops has resulted in off-target damage and yield losses for non-tolerant crops. This study explores the use of unmanned aerial vehicle imagery and deep learning to assess off-target dicamba damage in soybean genotypes, showing promising results for improving breeding efficiency.
Article
Plant Sciences
Shagor Sarkar, Jing Zhou, Andrew Scaboo, Jianfeng Zhou, Noel Aloysius, Teng Teeh Lim
Summary: This study investigated the potential of using UAV-based imagery and machine learning to assess soybean lodging conditions for breeding programs. The results showed that a classification model based on imagery can effectively differentiate lodging phenotypes and classify lodging scores. The preprocessing method SMOTE-ENN consistently performed well for all classifiers, improving classification accuracy and demonstrating its applicability for unbalanced datasets.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Chengyi Qu, Jayson Boubin, Durbek Gafurov, Jianfeng Zhou, Noel Aloysius, Henry Nguyen, Prasad Calyam
Summary: Smart agriculture utilizes UAV and sensors to collect data for responsible crop management decisions, leading to increased yields. UAV swarms offer advantages over single UAV, including parallel mapping, multiple sensor types, targeted inspection, and rapid problem diagnosis and treatment. However, implementing UAV swarms presents challenges such as resource allocation, compute orchestration, and multi-agent mission planning.
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON E-SCIENCE (ESCIENCE 2022)
(2022)
Article
Agricultural Engineering
Chin Nee Vong, Stirling A. Stewart, Jianfeng Zhou, Newell R. Kitchen, Kenneth A. Sudduth
Summary: This study aimed to estimate days after corn emergence (DAE) using UAV imagery and a machine learning method. Results showed that 1-day DAE could be distinguished within the first week after initial corn emergence with moderate accuracy, but decreased in accuracy in the following weeks. However, estimating DAE within a 3-day window showed higher overall classification accuracies.
TRANSACTIONS OF THE ASABE
(2021)
Article
Horticulture
Peng Jia, Rui Yan, Yuan Wang, Feng-huan Gao, Yang Liu, Qing-long Dong, Hao-an Luan, Xue-mei Zhang, Han Li, Su-ping Guo, Guo-hui Qi
Summary: The KNOX gene plays crucial roles in plant development, and this study identified 19 KNOX gene members in kiwifruit. One of the genes, AcKNOX11, is selectively expressed in flower buds and shoots, and its expression can be induced by ABA and melatonin. Functional analysis revealed that AcKNOX11 delays flowering, reduces plant height, alters leaf shape, and inhibits seed germination through ABA-melatonin interaction.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Dan Hua, Wen-Shu Chen, Rong-Yu Rao, Xu-Feng Chen, Huan-Huan Chen, Ning-Wei Lai, Lin-Tong Yang, Xin Ye, Li -Song Chen
Summary: This study revealed that nitrogen deficiency can lead to increased production of reactive oxygen species (ROS) and methylglyoxal (MG), but also enhances the ability of leaves and roots to detoxify these molecules. The effects of nitrogen deficiency on ROS and MG generation and their detoxification systems were found to be different in leaves and roots, with roots being more affected.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Shenghan Yang, Chonlong Chio, Wensheng Qin, Yanxi Pei, Guangpeng Pei, Yuen Zhu, Hua Li
Summary: This study evaluates the immobilization and deactivation of pathogen-produced enzymes and toxic metabolites by biochar in tomato Fusarium wilt and finds that biochar can effectively prevent disease occurrence.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Deborah Pagliaccia, Michelle Ortiz, Michael Rodriguez, Sophia Abbott, Agustina De Francesco, Madison Amador, Valeria Lavagi, Benjamin Maki, Francesca Hopkins, Jonathan Kaplan, Samantha Ying, Georgios Vidalakis
Summary: This study investigates the effectiveness of organic soil amendments (bokashi, biochar, and their combination) in promoting soil health, nutrient availability, and plant growth. The results show that these amendments can significantly alter soil parameters and have positive effects on soil and plant health.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Yu-Jeong Kwon, Min Jeong Hong, Minkyu Park, Dawon Jeon, Gah-Hyun Lim, Sungyul Chang, Dong-Hwan Kim, Jin-Baek Kim, Jundae Lee, Yeong Deuk Jo
Summary: Flowing LOCUS T (FT)-like genes play crucial roles in flowering induction in plants. Pepper FT-like genes are mostly expressed in leaves and interact with FLOWERING LOCUS D, promoting or delaying flowering. The unique evolutionary process of pepper FT-like genes provides insights for improving productivity.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Ziwen Su, Juan Yan, Binbin Zhang, Meng Sun, Zhixiang Cai, Zhijun Shen, Ruijuan Ma, Mingliang Yu
Summary: Bagging is a crucial cultivation measure that affects the quality of peach fruit by regulating exposure to light. This study investigated the effects of bagging on the content of phenolic compounds in peach fruit and identified the most sensitive compounds to bagging treatment. The study also explored the regulatory role of bagging on phenolic synthetic-related genes. The results showed that bagging affected the accumulation of different phenolics in different peach cultivars and light intensity played a significant role in the accumulation of anthocyanins and other phenolic substances in peach fruit. Additionally, the expression of structural genes and transcription factors related to phenolic synthesis was regulated by bagging and light conditions. These findings provide a foundation for understanding the regulation mechanism of light on the synthesis of phenolic compounds in peach fruit.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Yanfang Zhang, Xinzhi Cui, Zhilei Du, Xiulian Li, Bangdi Liu, Meng Liu, Xiangquan Zeng, Fengjun Guo, Xinguang Fan, Shuyang Sun
Summary: In this study, melatonin treatment effectively improved the aroma quality of apricots during low temperature storage by maintaining firmness and soluble solids content, inhibiting ethylene production, and regulating enzyme activities related to aroma synthesis.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Sang-Mo Kang, Shifa Shaffique, Md. Injamum-Ul-Hoque, Sarah Owdah Alomrani, Yong-Sung Park, In-Jung Lee
Summary: Salinity is a global environmental problem that affects the physiology and morphology of plants. Melatonin has been found to improve photosynthesis, antioxidant activities, and seedling characteristics in milk thistle plants exposed to salinity stress, thereby enhancing their salt tolerance.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Nadia Borgini, Haifa Benmoussa, Mohamed Ghrab, Mehdi Ben Mimoun
Summary: This study investigates the agroclimatic requirements of Prunus species cultivars growing in warm areas using Partial Least Squares regression. The findings reveal that the chilling and heat requirements of the cultivars appear discontinuous, with overlaps or transition periods between the two phases. The warm mean temperatures occurring during the chilling period are the main determinant of the flowering of the studied cultivars.
SCIENTIA HORTICULTURAE
(2024)
Review
Horticulture
Kayise Hypercia Maseko, Thierry Regnier, Belinda Meiring, Obiro Cuthbert Wokadala, Tonna Ashim Anyasi
Summary: Bananas are a significant tropical fruit with diverse cultivars, providing essential minerals, vitamins, and phytochemicals. The Cavendish group is preferred, but identifying suitable cultivars and maturity stages is crucial for various applications.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Godfrey Ouma, Joshua Wanyama, Isa Kabenge, Joseph Jjagwe, Mukulu Diana, John Muyonga
Summary: Irrigation plays a crucial role in increasing eggplant yields amidst climate change, but the deficit irrigation level for optimal growth remains uncertain. This study examined the effect of deficit drip irrigation on eggplant performance and found that irrigating at 75% field capacity maximizes yield and water saving in sandy clay loam soil.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Andrea Marcone, Giorgio Impollonia, Michele Croci, Henri Blandinieres, Stefano Amaducci
Summary: This study used Sentinel-2 satellite images to estimate biophysical and biochemical parameters of spinach crops and found that canopy-level parameters were estimated more accurately. The estimation of the canopy-scale parameter AGB using MCARI showed the highest accuracy, while the estimation of the leaf-scale parameter LCC using NDWI showed the lowest accuracy. At the field scale, the validation results for AGB estimation using SR were the best.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Chengsheng Gong, Guangjun Guo, Baogui Pan, Changzhou Gao, Xianwei Zhu, Shubin Wang, Jinbing Liu, Weiping Diao
Summary: This study investigated the role of key cytokines and metabolic factors in the formation of plant-type traits in pepper. Through integrated analysis of RNA-seq and metabolite determination, the study identified the low content of gibberellin and high content of auxin as important factors causing plant dwarfing, and jasmonic acid as a metabolic factor affecting branch traits. A total of 131 candidate genes involved in metabolite synthesis and the formation of plant-type traits were identified.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Yue Ma, Jia-Chen Hu, Yang Yu, Xin Cheng, Yan-Li Du, Qiang Zhao, Ji-Dao Du
Summary: Cadmium and drought stress significantly inhibited the growth of adzuki bean seedling plants, with the combined stress showing the highest degree of inhibition. Cd+D treatment reduced Cd accumulation in adzuki bean seedling roots. The treatment altered antioxidant enzyme activities and cell cycle phases in the roots, leading to changes in reactive oxygen species content.
SCIENTIA HORTICULTURAE
(2024)
Article
Horticulture
Lucette Adet, Danae M. A. Rozendaal, Arthur Tapi, Pieter A. Zuidema, Philippe Vaast, Niels P. R. Anten
Summary: This study investigated the effects of water stress on cocoa trees and found that they are highly sensitive to water stress, with different genotypes exhibiting varied responses. Potassium application did not mitigate the negative effects of water stress. There was significant variation among genotypes in terms of leaf and crown traits, and positive interactions between genotype and irrigation were observed. These findings provide insights into the acclimation strategies of cocoa trees and can be useful for selecting drought-tolerant genotypes.
SCIENTIA HORTICULTURAE
(2024)