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Xiao Y, Wu L, Wang B, Zhang M, Pan Q, Xian L, Sheng J, Yan M, Jin J, Zhang R, Zhang J, Zeng Q, Li T, Li W. Development and application of Key Allele-Specific PCR (KASP) molecular markers for assessing apple fruit crispness. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:71. [PMID: 39399693 PMCID: PMC11467153 DOI: 10.1007/s11032-024-01509-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 10/04/2024] [Indexed: 10/15/2024]
Abstract
Crispness stands as a pivotal criterion in assessing apple texture, widely cherished by consumers. Yet, owing to its multifaceted nature, crispness remains a formidable challenge in artificial enhancement efforts. To expedite the early and precise evaluation of apple crispness, this study centered on a hybrid population derived from 'Fuji' and 'Pink Lady' cultivars, showcasing segregating crispness traits. We conducted measurements of flesh water content, cellular anatomical morphology, and employed a texture analyzer to assess mechanical properties of the offspring flesh. Integrating these three dimensions, we conducted a comprehensive analysis of quantitative characteristics of apple crispness, juxtaposed with sensory evaluation. Utilizing BSA-seq technology, we scrutinized extreme phenotypic individuals, revealing QTL loci intricately linked to the aforementioned dimensions, and subsequently developed Key Allele-Specific PCR (KASP) markers. These markers underwent validation in hybrid populations of 'Hanfu' x 'Pink Lady' and 'Hanfu' x 'Honey Crisp'. Our findings underscored significant correlations between mechanical properties, water content, and cell size with crispness. Higher mechanical properties and water content, alongside smaller cell size, correlated with firmer flesh texture; moderate mechanical properties, and elevated water content and cell size, with crisper texture; whereas lower mechanical properties, water content, and cell size implied softer flesh.The study yielded KASP markers effectively reflecting flesh mechanical properties (SNP_24399345), water content (SNP_8667563), and cell size (SNP_15566229). Comprehensive analysis of these markers identified CC-CC-TT as an effective identifier of soft flesh individuals; while GG-TC-TT and GG-CC-TT combinations better represented individuals with harder flesh. The Crunchy subclass could be discerned by combinations of GG-TC-TC, GG-TC-CC, GG-TT-TC, and GG-TT-CC. These findings furnish effective molecular markers for the genetic enhancement of apple crispness, bearing significant implications for the cultivation of novel apple varieties. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01509-1.
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Affiliation(s)
- Yao Xiao
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Ling Wu
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Baoan Wang
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Manyu Zhang
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Qi Pan
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Linfeng Xian
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Jing Sheng
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Mengbo Yan
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Jingxian Jin
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Rui Zhang
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Jing Zhang
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Qiulin Zeng
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Tianzhong Li
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
| | - Wei Li
- Laboratory of Fruit Cell and Molecular Breeding, China Agricultural University, Beijing, 100193 China
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Natić M, Dabić Zagorac D, Jakanovski M, Smailagić A, Čolić S, Meland M, Fotirić Akšić M. Fruit Quality Attributes of Organically Grown Norwegian Apples Are Affected by Cultivar and Location. PLANTS (BASEL, SWITZERLAND) 2024; 13:147. [PMID: 38202455 PMCID: PMC10780603 DOI: 10.3390/plants13010147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/23/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024]
Abstract
In this work, 12 apple cultivars grown organically in three regions of Norway (Telemark, Ullensvang, Viken) were analyzed in terms of fruit quality, with the aim of equating different growing regions under specific climatic conditions. Apples were analyzed for concentration levels of minerals, sugars, sugar alcohols, organic acids, total phenolic content (TPC), radical scavenging activity (RSA), and phenolic profiles. Discovery "Rose" from Telemark stored the highest level of minerals (24,094.5 mg/kg dry weight). Glucose, fructose, sucrose, and sorbitol were the major carbohydrates, whereas the predominant organic acids were quinic acid and malic acid. Cultivar Discovery from Ullensvang had the highest TPC (9.22 g/kg) and RSA (229.32 mmol TE/kg). Of the polyphenols quantified, chlorogenic acid and kaempferol-3-O-glucoside were the most abounded, accounting for 85.50%. Principal component analysis (PCA) shows that the Ullensvang region is the richest source of most carbohydrates, organic acids (quinic, shikimic, and galacturonic), and most polyphenols, whereas the highest content of minerals and maleic acid characterized Viken. Regardless of location, the Discovery cultivar had, on average, the highest sugar and polyphenol contents. The results obtained suggest that organic apples from Norway are a rich source of beneficial compounds that can have a positive impact on human health. In addition, these results may be useful for consumers in identifying apple cultivars with desirable characteristics and for the fruit industry in tracing back the origin of apples. The findings could also be of great interest for locations with similar climate and soil conditions worldwide.
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Affiliation(s)
- Maja Natić
- Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia;
| | - Dragana Dabić Zagorac
- Innovative Centre of the Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia; (D.D.Z.); (M.J.); (A.S.)
| | - Mihajlo Jakanovski
- Innovative Centre of the Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia; (D.D.Z.); (M.J.); (A.S.)
| | - Anita Smailagić
- Innovative Centre of the Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia; (D.D.Z.); (M.J.); (A.S.)
| | - Slavica Čolić
- Institute for Science Application in Agriculture, Blvd. Despota Stefana 68b, 11000 Belgrade, Serbia;
| | - Mekjell Meland
- Norwegian Institute of Bioeconomy Research—NIBIO Ullensvang, Ullensvangvegen 1005, 5781 Lofthus, Norway
| | - Milica Fotirić Akšić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11000 Belgrade, Serbia;
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Wu X, Fauconnier ML, Bi J. Characterization and Discrimination of Apples by Flash GC E-Nose: Geographical Regions and Botanical Origins Studies in China. Foods 2022; 11:1631. [PMID: 35681382 PMCID: PMC9180093 DOI: 10.3390/foods11111631] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 02/04/2023] Open
Abstract
Forty-one apple samples from 7 geographical regions and 3 botanical origins in China were investigated. A total of 29 volatile compounds have been identified by flash GC E-nose. They are 17 esters, 5 alcohols, 3 aldehydes, 1 ketone, and 3 others. A principal component analysis was employed to study the relationship between varieties and volatiles. A partial least squares discriminant analysis (PLS-DA), stepwise linear discriminant analysis (SLDA), and decision tree (DT) are used to discriminate apples from 4 geographical regions (34 apple samples) and 3 botanical origins (36 apple samples). The most influential markers identified by PLS-DA are 2-hexadecanone, methyl decanoate, tetradecanal, 1,8-cineole, hexyl 2-butenoate, (Z)-2-octenal, methyl 2-methylbutanoate, ethyl butyrate, dimethyl trisulfide, methyl formate, ethanol, S(-)2-methyl-1-butanol, ethyl acetate, pentyl acetate, butyl butanoate, butyl acetate, and ethyl octanoate. From the present work, SLDA reveals the best discrimination results in geographical regions and botanical origins, which are 88.2% and 88.9%, respectively. Although machine learning DT is attempted to classify apple samples, the results are not satisfactory.
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Affiliation(s)
- Xinye Wu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, P.O. Box 5109, Beijing 100193, China;
- Laboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liege, Passage des Déportés, 2, 5030 Gembloux, Belgium;
| | - Marie-Laure Fauconnier
- Laboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liege, Passage des Déportés, 2, 5030 Gembloux, Belgium;
| | - Jinfeng Bi
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, P.O. Box 5109, Beijing 100193, China;
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Rombach M, Dean DL, Baird T, Kambuta J. Should I Pay or Should I Grow? Factors Which Influenced the Preferences of US Consumers for Fruit, Vegetables, Wine and Beer during the COVID-19 Pandemic. Foods 2022; 11:1536. [PMID: 35681284 PMCID: PMC9180933 DOI: 10.3390/foods11111536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/21/2022] [Accepted: 05/22/2022] [Indexed: 02/06/2023] Open
Abstract
This study examines the key factors that determine the preferences of US consumers towards the growing and processing used for horticultural products such as fruit, vegetables, wine and beer over their preferences for buying them both before and after the COVID-19 pandemic. The findings obtained using Partial Least Square Structural Equation Modeling (PLS-SEM) show that engagement with horticulture prior to and after the occurrence of COVID-19 influenced preferences for the growing and processing of fruit, vegetables, wine and beer over buying them in both the pre-COVID-19 and post-COVID-19 contexts. Engagement with horticulture before and after the COVID-19 pandemic was significantly impacted by attitudes towards US growers. Attitudes towards COVID-19 and human values such as self-enhancement, conservation and self-transcendence were also found to be significant factors, while openness to change was not found to be significant. Best practice recommendations are included on the basis of these findings for managers of community gardens, horticultural properties and specialized food stores.
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Affiliation(s)
- Meike Rombach
- Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand;
| | - David L. Dean
- Department of Agribusiness and Markets, Lincoln University, Lincoln 7647, New Zealand; (D.L.D.); (T.B.)
| | - Tim Baird
- Department of Agribusiness and Markets, Lincoln University, Lincoln 7647, New Zealand; (D.L.D.); (T.B.)
| | - Jacob Kambuta
- Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand;
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