| [1] |
Garcia-Mas J, Benjak A, Sanseverino W, Bourgeois M, Mir G, et al. 2012. The genome of melon (Cucumis melo L.). |
| [2] |
Jeffrey C. 1980. A review of the Cucurbitaceae. |
| [3] |
Fergany M, Kaur B, Monforte AJ, Pitrat M, Rys C, et al. 2011. Variation in melon (Cucumis melo) landraces adapted to the humid tropics of southern India. |
| [4] |
Kesh H, Kaushik P. 2021. Advances in melon (Cucumis melo L.) breeding: an update. |
| [5] |
Eitenmiller RR, Johnson CD, Bryan WD, Warren DB, Gebhardt SE. 1985. Nutrient composition of cantaloupe and honeydew melons. |
| [6] |
Lester G. 1997. Melon (Cucumis melo L.) fruit nutritional quality and health functionality. |
| [7] |
Manchali S, Murthy KNC. 2020. Muskmelon. In Nutritional Composition and Antioxidant Properties of Fruits and Vegetables, ed. Jaiswal AK. US: Academic Press. pp. 533−46. doi: 10.1016/B978-0-12-812780-3.00033-7 |
| [8] |
Goutzourelas N, Stagos D, Spanidis Y, Liosi M, Apostolou A, et al. 2015. Polyphenolic composition of grape stem extracts affects antioxidant activity in endothelial and muscle cells. |
| [9] |
Rahman MM, Hossain ASMS, Mostofa MG, Khan MA, Ali R, et al. 2019. Evaluation of anti-ROS and anticancer properties of Tabebuia pallida L. leaves. |
| [10] |
Ismail HI, Chan KW, Mariod AA, Ismail M. 2010. Phenolic content and antioxidant activity of cantaloupe (Cucumis melo) methanolic extracts. |
| [11] |
Bouaziz A, Djidel S, Assia B, Khennouf S. 2020. Polyphenolic content, antioxidant and anti-inflammatory activities of melon (Cucumis melo L. var. inodorus) seeds. Journal of Drug Delivery and Therapeutics 10:22−26 |
| [12] |
Rolim PM, Fidelis GP, Padilha CEA, Santos ES, Rocha HAO, et al. 2018. Phenolic profile and antioxidant activity from peels and seeds of melon (Cucumis melo L. var. reticulatus) and their antiproliferative effect in cancer cells. Revista Brasileira de Pesquisas Medicas e Biologicas 51:e6069 |
| [13] |
Wright CI, Van-Buren L, Kroner CI, Koning MMG. 2007. Herbal medicines as diuretics: a review of the scientific evidence. |
| [14] |
Gill NS, Bajwa J, Dhiman K, Sharma P, Sood S, et al. 2011. Evaluation of therapeutic potential of traditionally consumed Cucumis melo seeds. |
| [15] |
Parmar HS, Kar A. 2009. Protective role of Mangifera indica, Cucumis melo and Citrullus vulgaris peel extracts in chemically induced hypothyroidism. |
| [16] |
Décordé K, Ventura E, Lacan D, Ramos J, Cristol JP, et al. 2010. An SOD rich melon extract Extramel® prevents aortic lipids and liver steatosis in diet-induced model of atherosclerosis. |
| [17] |
Naito Y, Akagiri S, Uchiyama K, Kokura S, Yoshida N, et al. 2005. Reduction of diabetes-induced renal oxidative stress by a cantaloupe melon extract/gliadin biopolymers, oxykine, in mice. |
| [18] |
Chan KT, Li K, Liu SL, Chu KH, Toh M, et al. 2010. Cucurbitacin B inhibits STAT3 and the Raf/MEK/ERK pathway in leukemia cell line K562. |
| [19] |
Ibrahim SRM. 2010. New 2-(2-phenylethyl)chromone derivatives from the seeds of Cucumis melo L var. reticulatus. Natural Product Communications 5:403−6 |
| [20] |
Zinchenko TV, Mindlin MZ, Prokopovich NN. 1955. Anthelmintic properties of Cucumis melo seeds. Farmakologiia i Toksikologiia 18:41−43 |
| [21] |
Liu S, Gao P, Zhu Q, Zhu Z, Liu H, et al. 2020. Resequencing of 297 melon accessions reveals the genomic history of improvement and loci related to fruit traits in melon. |
| [22] |
Soller M, Brody T, Genizi A. 1976. On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines. |
| [23] |
Komala M, Kuni P. 2022. Genetic diversity and molecular breeding of melon (Cucumis melo L.): a review. |
| [24] |
Díaz A, Zarouri B, Fergany M, Eduardo I, Alvarez JM, et al. 2014. Mapping and introgression of QTL involved in fruit shape transgressive segregation into 'piel de sapo' melon (Cucumis melo L.). |
| [25] |
Amanullah S, Liu S, Gao P, Zhu Z, Zhu Q, et al. 2018. QTL mapping for melon (Cucumis melo L.) fruit traits by assembling and utilization of novel SNPs based CAPS markers. |
| [26] |
Ruggieri V, Alexiou KG, Morata J, Argyris J, Pujol M, et al. 2018. An improved assembly and annotation of the melon (Cucumis melo L.) reference genome. |
| [27] |
Zhao G, Lian Q, Zhang Z, Fu Q, He Y, et al. 2019. A comprehensive genome variation map of melon identifies multiple domestication events and loci influencing agronomic traits. |
| [28] |
Huang S, Li R, Zhang Z, Li L, Gu X, et al. 2009. The genome of the cucumber, Cucumis sativus L. |
| [29] |
Bo K, Wei S, Wang W, Miao H, Dong S, et al. 2019. QTL mapping and genome-wide association study reveal two novel loci associated with green flesh color in cucumber. |
| [30] |
Wang X, Bao K, Reddy UK, Bai Y, Hammar SA, et al. 2018. The USDA cucumber (Cucumis sativus L.) collection: genetic diversity, population structure, genome-wide association studies, and core collection development. |
| [31] |
Liu H, Jiao J, Liang X, Liu J, Meng H, et al. 2016. Map-based cloning, identification and characterization of the w gene controlling white immature fruit color in cucumber (Cucumis sativus L.). |
| [32] |
Fan S, Yang S, Shi K, Yang L, An M, et al. 2024. Genome-wide identification of the LRX gene family in Cucurbitaceae and expression analysis under salt and drought stress in cucumber. |
| [33] |
Zhang H, Li X, Yu H, Zhang Y, Li M, et al. 2019. A high-quality melon genome assembly provides insights into genetic basis of fruit trait improvement. |
| [34] |
Yang J, Deng G, Lian J, Garraway J, Niu Y, et al. 2020. The chromosome-scale genome of melon dissects genetic architecture of important agronomic traits. |
| [35] |
Yano R, Ariizumi T, Nonaka S, Kawazu Y, Zhong S, et al. 2020. Comparative genomics of muskmelon reveals a potential role for retrotransposons in the modification of gene expression. |
| [36] |
Oren E, Tzuri G, Dafna A, Rees ER, Song B, et al. 2022. QTL mapping and genomic analyses of earliness and fruit ripening traits in a melon Recombinant Inbred Lines population supported by de novo assembly of their parental genomes. |
| [37] |
Lyu X, Xia Y, Wang C, Zhang K, Deng G, et al. 2023. Pan-genome analysis sheds light on structural variation-based dissection of agronomic traits in melon crops. |
| [38] |
Li G, Tang L, He Y, Xu Y, Bendahmane A, et al. 2023. The haplotype-resolved T2T reference genome highlights structural variation underlying agronomic traits of melon. |
| [39] |
Nordborg M, Weigel D. 2008. Next-generation genetics in plants. |
| [40] |
Zhao H, Zhang T, Meng X, Song J, Zhang C, et al. 2023. Genetic mapping and QTL analysis of fruit traits in melon (Cucumis melo L.). |
| [41] |
Sun Y, Wang J, Li Y, Jiang B, Wang X, et al. 2022. Pan-genome analysis reveals the abundant gene presence/absence variations among different varieties of melon and their influence on traits. |
| [42] |
Du X, Liu H, Zhu Z, Liu S, Song Z, et al. 2022. Identification of candidate chromosome region related to melon (Cucumis melo L.) fruit surface groove trait through biparental genetic mapping and genome-wide association study. |
| [43] |
Hou J, Zhou YF, Gao LY, Wang YL, Yang LM, et al. 2018. Dissecting the genetic architecture of melon chilling tolerance at the seedling stage by association mapping and identification of the elite alleles. |
| [44] |
Wei M, Huang Y, Mo C, Wang H, Zeng Q, et al. 2023. Telomere-to-telomere genome assembly of melon (Cucumis melo L. var. inodorus) provides a high-quality reference for meta-QTL analysis of important traits. |
| [45] |
Ma J, Li C, Zong M, Qiu Y, Liu Y, et al. 2022. CmFSI8/CmOFP13 encoding an OVATE family protein controls fruit shape in melon. |
| [46] |
Pereira L, Santo Domingo M, Ruggieri V, Argyris J, Phillips MA, et al. 2020. Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior. |
| [47] |
Li C, Dong S, Beckles DM, Liu X, Guan J, et al. 2023. GWAS reveals novel loci and identifies a pentatricopeptide repeat-containing protein (CsPPR) that improves low temperature germination in cucumber. |
| [48] |
Li N, Lin B, Wang H, Li X, Yang F, et al. 2019. Natural variation in ZmFBL41 confers banded leaf and sheath blight resistance in maize. |
| [49] |
Ban D, Goreta S, Borošić J. 2006. Plant spacing and cultivar affect melon growth and yield components. |
| [50] |
Zalapa JE, Staub JE, McCreight JD. 2006. Generation means analysis of plant architectural traits and fruit yield in melon. |
| [51] |
Liu S, Raman H, Xiang Y, Zhao C, Huang J, et al. 2022. De novo design of future rapeseed crops: challenges and opportunities. |
| [52] |
Schauer N, Semel Y, Roessner U, Gur A, Balbo I, et al. 2006. Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. |
| [53] |
Zhang T, Ding Z, Liu J, Qiu B, Gao P. 2020. QTL mapping of pericarp and fruit-related traits in melon (Cucumis melo L.) using SNP-derived CAPS markers. |
| [54] |
Fukuoka S, Saka N, Mizukami Y, Koga H, Yamanouchi U, et al. 2015. Gene pyramiding enhances durable blast disease resistance in rice. |
| [55] |
Yasuda N, Mitsunaga T, Hayashi K, Koizumi S, Fujita Y. 2015. Effects of pyramiding quantitative resistance genes pi21, Pi34, and Pi35 on rice leaf blast disease. |
| [56] |
Shamsudin NAA, Swamy BPM, Ratnam W, Sta Cruz MT, Sandhu N, et al. 2016. Pyramiding of drought yield QTLs into a high quality Malaysian rice cultivar MRQ74 improves yield under reproductive stage drought. |
| [57] |
Tsilo TJ, Kolmer JA, Anderson JA. 2014. Molecular mapping and improvement of leaf rust resistance in wheat breeding lines. |
| [58] |
Pierik R, Ballaré CL. 2021. Control of plant growth and defense by photoreceptors: from mechanisms to opportunities in agriculture. |
| [59] |
Mendlinger S. 1994. Effect of increasing plant density and salinity on yield and fruit quality in muskmelon. |
| [60] |
Yao H, Zhang Y, Yi X, Hu Y, Luo H, et al. 2015. Plant density alters nitrogen partitioning among photosynthetic components, leaf photosynthetic capacity and photosynthetic nitrogen use efficiency in field-grown cotton. |
| [61] |
Wang P, Wang Z, Sun X, Mu X, Chen H, et al. 2019. Interaction effect of nitrogen form and planting density on plant growth and nutrient uptake in maize seedlings. |
| [62] |
Duan Y, Li H, Amanullah S, Bao X, Guo Y, et al. 2023. A single nucleotide mutation in ClphyB gene is associated with a short lateral branch phenotype in watermelon. |
| [63] |
Yusuf AF, Wibowo WA, Subiastuti AS, Daryono BS. 2020. Morphological studies of stability and identity of melon (Cucumis melo L.) 'Hikapel' and comparative cultivars. |
| [64] |
Bharathkumar N, Sunil A, Meera P, Aksah S, Kannan M, et al. 2022. CRISPR/Cas-based modifications for therapeutic applications: a review. |
| [65] |
Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, et al. 2012. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. |
| [66] |
Anzalone AV, Randolph PB, Davis JR, Sousa AA, Koblan LW, et al. 2019. Search-and-replace genome editing without double-strand breaks or donor DNA. |
| [67] |
Nuñez JK, Chen J, Pommier GC, Cogan JZ, Replogle JM, et al. 2021. Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing. |
| [68] |
Wang Y, Cheng X, Shan Q, Zhang Y, Liu J, et al. 2014. Simultaneous editing of three homoeoalleles in hexaploid bread wheat confers heritable resistance to powdery mildew. |
| [69] |
Bai Y, Pavan S, Zheng Z, Zappel NF, Reinstädler A, et al. 2008. Naturally occurring broad-spectrum powdery mildew resistance in a Central American tomato accession is caused by loss of mlo function. |
| [70] |
Nekrasov V, Wang C, Win J, Lanz C, Weigel D, et al. 2017. Rapid generation of a transgene-free powdery mildew resistant tomato by genome deletion. |
| [71] |
Zheng Z, Nonomura T, Appiano M, Pavan S, Matsuda Y, et al. 2013. Loss of function in Mlo orthologs reduces susceptibility of pepper and tomato to powdery mildew disease caused by Leveillula taurica. |
| [72] |
Liu J, Wu Y, Zhang X, Gill RA, Hu M, et al. 2023. Functional and evolutionary study of MLO gene family in the regulation of Sclerotinia stem rot resistance in Brassica napus L. |
| [73] |
Guo F, Huang Y, Qi P, Lian G, Hu X, et al. 2021. Functional analysis of auxin receptor OsTIR1/OsAFB family members in rice grain yield, tillering, plant height, root system, germination, and auxinic herbicide resistance. |
| [74] |
Rodríguez-Leal D, Lemmon ZH, Man J, Bartlett ME, Lippman ZB. 2017. Engineering quantitative trait variation for crop improvement by genome editing. |
| [75] |
Pan W, Cheng Z, Han Z, Yang H, Zhang W, et al. 2022. Efficient genetic transformation and CRISPR/Cas9-mediated genome editing of watermelon assisted by genes encoding developmental regulators. |
| [76] |
Wang Z, Wan L, Ren J, Zhang N, Zeng H, et al. 2024. Improving the genome editing efficiency of CRISPR/Cas9 in melon and watermelon. |
| [77] |
Giordano A, Santo Domingo M, Quadrana L, Pujol M, Martín-Hernández AM, et al. 2022. CRISPR/Cas9 gene editing uncovers the roles of CONSTITUTIVE TRIPLE RESPONSE 1 and REPRESSOR OF SILENCING 1 in melon fruit ripening and epigenetic regulation. |
| [78] |
Nonaka S, Ito M, Ezura H. 2023. Targeted modification of CmACO1 by CRISPR/Cas9 extends the shelf-life of Cucumis melo var. reticulatus melon. |
| [79] |
Zhang T, Xu N, Amanullah S, Gao P. 2023. Genome-wide identification, evolution, and expression analysis of MLO gene family in melon (Cucumis melo L.). |
| [80] |
Bambil D, Pistori H, Bao F, Weber V, Alves FM, et al. 2020. Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks. |
| [81] |
Nabwire S, Suh HK, Kim MS, Baek I, Cho BK. 2021. Review: application of artificial intelligence in phenomics. |
| [82] |
Kirchgessner N, Liebisch F, Yu K, Pfeifer J, Friedli M, et al. 2016. The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system. |
| [83] |
Casanova JJ, O'Shaughnessy SA, Evett SR, Rush CM. 2014. Development of a wireless computer vision instrument to detect biotic stress in wheat. |
| [84] |
Song P, Wang J, Guo X, Yang W, Zhao C. 2021. High-throughput phenotyping: breaking through the bottleneck in future crop breeding. |
| [85] |
Farooq MA, Gao S, Hassan MA, Huang Z, Rasheed A, et al. 2024. Artificial intelligence in plant breeding. |
| [86] |
Naroui Rad MR, Koohkan S, Fanaei HR, Pahlavan Rad MR. 2015. Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.). |
| [87] |
Kalantar A, Edan Y, Gur A, Klapp I. 2020. A deep learning system for single and overall weight estimation of melons using unmanned aerial vehicle images. |
| [88] |
Cho BH, Lee KB, Hong Y, Kim KC. 2022. Determination of internal quality indices in oriental melon using snapshot-type hyperspectral image and machine learning model. |
| [89] |
Xue W, Ding H, Jin T, Meng J, Wang S, et al. 2024. CucumberAI: cucumber fruit morphology identification system based on artificial intelligence. |
| [90] |
Lasky JR, Upadhyaya HD, Ramu P, Deshpande S, Hash CT, et al. 2015. Genome-environment associations in sorghum landraces predict adaptive traits. |
| [91] |
Sartor RC, Noshay J, Springer NM, Briggs SP. 2019. Identification of the expressome by machine learning on omics data. |
| [92] |
Uygun S, Azodi CB, Shiu SH. 2019. Cis-regulatory code for predicting plant cell-type transcriptional response to high salinity. |
| [93] |
Li Z, Cao L, Zhao L, Yu L, Chen Y, et al. 2020. Identification and biotechnical potential of a Gcn5-related N-acetyltransferase gene in enhancing microalgal biomass and starch production. |
| [94] |
Meena M, Shubham S, Paritosh K, Pareek N, Vivekanand V. 2021. Production of biofuels from biomass: predicting the energy employing artificial intelligence modelling. |
| [95] |
Tzuri G, Zhou X, Chayut N, Yuan H, Portnoy V, et al. 2015. A 'golden' SNP in CmOr governs the fruit flesh color of melon (Cucumis melo). |
| [96] |
Kim N, Oh J, Kim B, Choi EK, Hwang US, et al. 2015. The CmACS-7 gene provides sequence variation for development of DNA markers associated with monoecious sex expression in melon (Cucumis melo L.). |
| [97] |
Zhang C, Ren Y, Guo S, Zhang H, Gong G, et al. 2013. Application of comparative genomics in developing markers tightly linked to the Pm-2F gene for powdery mildew resistance in melon (Cucumis melo L.). |
| [98] |
Eleblu JSY, Haraghi A, Mania B, Camps C, Rashid D, et al. 2019. The gynoecious CmWIP1 transcription factor interacts with CmbZIP48 to inhibit carpel development. |