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Mahmud MS, Zahid A, Das AK. Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects. SENSORS (BASEL, SWITZERLAND) 2023; 23:1818. [PMID: 36850415 PMCID: PMC9966776 DOI: 10.3390/s23041818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 01/11/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuously increasing labor and agricultural input costs. Sensing and automation technologies have been introduced to reduce labor requirements and to ensure efficient management operations. This article reviews current sensing and automation technologies used for ornamental nursery crop production and highlights prospective technologies that can be applied for future applications. Applications of sensors, computer vision, artificial intelligence (AI), machine learning (ML), Internet-of-Things (IoT), and robotic technologies are reviewed. Some advanced technologies, including 3D cameras, enhanced deep learning models, edge computing, radio-frequency identification (RFID), and integrated robotics used for other cropping systems, are also discussed as potential prospects. This review concludes that advanced sensing, AI and robotic technologies are critically needed for the nursery crop industry. Adapting these current and future innovative technologies will benefit growers working towards sustainable ornamental nursery crop production.
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Affiliation(s)
- Md Sultan Mahmud
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209, USA
- Otis L. Floyd Nursery Research Center, Tennessee State University, McMinnville, TN 37110, USA
| | - Azlan Zahid
- Department of Biological and Agricultural Engineering, Texas A&M AgriLife Research, Texas A&M University System, Dallas, TX 75252, USA
| | - Anup Kumar Das
- Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND 58102, USA
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Chang Y, Ahlawat YK, Gu T, Sarkhosh A, Liu T. Transcriptional profiling of two muscadine grape cultivars "Carlos" and "Noble" to reveal new genes, gene regulatory networks, and pathways that involved in grape berry ripening. FRONTIERS IN PLANT SCIENCE 2022; 13:949383. [PMID: 36061784 PMCID: PMC9435441 DOI: 10.3389/fpls.2022.949383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/21/2022] [Indexed: 06/15/2023]
Abstract
In commercial fruit production, synchronized ripening and stable shelf life are important properties. The loosely clustered or non-bunching muscadine grape has unrealized potential as a disease-resistant cash crop, but requires repeated hand harvesting due to its unsynchronized or long or heterogeneous maturation period. Genomic research can be used to identify the developmental and environmental factors that control fruit ripening and postharvest quality. This study coupled the morphological, biochemical, and genetic variations between "Carlos" and "Noble" muscadine grape cultivars with RNA-sequencing analysis during berry maturation. The levels of antioxidants, anthocyanins, and titratable acids varied between the two cultivars during the ripening process. We also identified new genes, pathways, and regulatory networks that modulated berry ripening in muscadine grape. These findings may help develop a large-scale database of the genetic factors of muscadine grape ripening and postharvest profiles and allow the discovery of the factors underlying the ripeness heterogeneity at harvest. These genetic resources may allow us to combine applied and basic research methods in breeding to improve table and wine grape ripening uniformity, quality, stress tolerance, and postharvest handling and storage.
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Affiliation(s)
- Yuru Chang
- Department of Horticultural Science, University of Florida, Gainesville, FL, United States
| | - Yogesh Kumar Ahlawat
- Department of Horticultural Science, University of Florida, Gainesville, FL, United States
| | - Tongjun Gu
- Bioinformatics, Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, United States
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
| | - Ali Sarkhosh
- Department of Horticultural Science, University of Florida, Gainesville, FL, United States
| | - Tie Liu
- Department of Horticultural Science, University of Florida, Gainesville, FL, United States
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Park M, Vera D, Kambrianda D, Gajjar P, Cadle-Davidson L, Tsolova V, El-Sharkawy I. Chromosome-level genome sequence assembly and genome-wide association study of Muscadinia rotundifolia reveal the genetics of 12 berry-related traits. HORTICULTURE RESEARCH 2022; 9:uhab011. [PMID: 35040982 PMCID: PMC8769032 DOI: 10.1093/hr/uhab011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/01/2021] [Accepted: 09/25/2021] [Indexed: 05/29/2023]
Abstract
Vitis has two subgenera: Euvitis, which includes commercially important Vitis vinifera and interspecific hybrid cultivars, and Muscadinia. Of note, the market for Muscadinia grapes remains small, and only Muscadinia rotundifolia is cultivated as a commercial crop. To establish a basis for the study of Muscadinia species, we generated chromosome-level whole-genome sequences of Muscadinia rotundifolia cv. Noble. A total of 393.8 Mb of sequences were assembled from 20 haploid chromosomes, and 26 394 coding genes were identified from the sequences. Comparative analysis with the genome sequence of V. vinifera revealed a smaller size of the M. rotundifolia genome but highly conserved gene synteny. A genome-wide association study of 12 Muscadinia berry-related traits was performed among 356 individuals from breeding populations of M. rotundifolia. For the transferability of markers between Euvitis and Muscadinia, we used 2000 core genome rhAmpSeq markers developed to allow marker transferability across Euvitis species. A total of 1599 (80%) rhAmpSeq markers returned data in Muscadinia. From the GWAS analyses, we identified a total of 52 quantitative trait nucleotides (QTNs) associated with the 12 berry-related traits. The transferable markers enabled the direct comparison of the QTNs with previously reported results. The whole-genome sequences along with the GWAS results provide a new basis for the extensive study of Muscadinia species.
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Affiliation(s)
- Minkyu Park
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, 6361 Mahan Dr., Tallahassee, FL 32308, USA
| | - Daniel Vera
- Silico LLC, 23 Essex Street #761119, Melrose, MA 02176, USA
| | - Devaiah Kambrianda
- Plant and Soil Sciences, Southern University Agricultural Research and Extension Center, 181 B. A. Little Dr., Baton Rouge, LA 70813, USA
| | - Pranavkumar Gajjar
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, 6361 Mahan Dr., Tallahassee, FL 32308, USA
| | - Lance Cadle-Davidson
- USDA-ARS, Grape Genetics Research Unit, 630 West W North St., Geneva, NY, 14456, USA
| | - Violeta Tsolova
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, 6361 Mahan Dr., Tallahassee, FL 32308, USA
| | - Islam El-Sharkawy
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, 6361 Mahan Dr., Tallahassee, FL 32308, USA
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Campbell J, Gajjar P, Ismail A, Habibi F, Darwish AG, Tsolova V, Sarkhosh A, El-Sharkawy I. Determination of Fertility-Related Traits in Muscadine Grape Population. PLANTS 2021; 10:plants10061175. [PMID: 34207783 PMCID: PMC8227160 DOI: 10.3390/plants10061175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 11/24/2022]
Abstract
In this study, fertility-related traits of 90 muscadine grape genotypes were evaluated. Selected genotypes included 21 standard cultivars, 60 breeding lines, and nine Vitis × Muscadinia hybrids (VM hybrids). The first fruiting bud (FFB), bud fertility (BF), bud fertility coefficient (BFC), number of flowers/flower cluster (N.F/FC), fruit-set efficiency (FSE), number of clusters/vine (N.C/V), and yield/vine (Y/V) traits were evaluated. The FFB trait did not show significant differences among genotypes. The muscadine genotype O28-4-2-2 (1.6 ± 0.2) displayed the FFB closest to the base; however, O17-16-2-1, O18-2-1, and VM A12-10-2 genotypes had the most distant FFB (3.6 ± 0.3). All the other fertility-related traits varied widely among the population. The BF, BFC, N.F/FC, FSE, N.C/V, and Y/V exhibited a range estimated at 35.1%, 81.5%, 259.7, 63.3%, 177 C/V, and 22.3 kg/V, respectively. The muscadine genotypes O42-3-1 (36.7% ± 1.3) and Majesty (34% ± 1.2) exhibited the highest BF; however, the VM A12-10-2 (1.6% ± 0.1) recorded the lowest BF. The VM genotype O15-16-1 (82.8% ± 4.1) displayed the highest BFC; however, the VM A12-10-2 (1.3% ± 0.1) showed the lowest BFC. The muscadine genotypes D7-1-1 (280.3 F/FC ± 21.7) and O17-17-1 (20.7 F/FC ± 5.5) showed the highest and lowest N.F/FC, respectively. The maximum and minimum FSE was observed for the Rosa cultivar (65.7% ± 2.4) and muscadine genotype D7-1-1 (2.4% ± 0.2), respectively. The minimum N.C/V was recorded for VM genotype A12-10-2 (6 C/V ± 0.2) and maximum noted for muscadine genotypes B20-18-2 (183 C/V ± 7.5) and O44-14-1 (176 C/V ± 7.3). Muscadine genotype O23-11-2 (22.6 kg ± 1.1) produced the highest Y/V; however, the lowest yield was recorded for O15-17-1, Fry Seedless, Sugargate, and the VM genotypes and A12-10-2, with an average yield among them estimated at 0.4 kg ± 0.2.
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Affiliation(s)
- Jiovan Campbell
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
| | - Pranavkumar Gajjar
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
| | - Ahmed Ismail
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
- Department of Horticulture, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
| | - Fariborz Habibi
- Department of Horticultural Science, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran;
| | - Ahmed G. Darwish
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
- Department of Biochemistry, Faculty of Agriculture, Minia University, Minia 61519, Egypt
| | - Violeta Tsolova
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
| | - Ali Sarkhosh
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA;
| | - Islam El-Sharkawy
- Center for Viticulture and Small Fruit Research, College of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32308, USA; (J.C.); (P.G.); (A.I.); (A.G.D.); (V.T.)
- Correspondence: ; Tel.: +1-850-599-8685
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