Analysis of Qualitative and Quantitative Traits to Identify Different Chinese Jujube Cultivars

Kim, Sea-Hyun; Nam, Jae-Ik; Kim, Chulwoo

doi:10.9787/pbb.2019.7.3.175

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Morphological descriptors have been commonly used in jujube germplasm management (Liu et al 2020). Based on an evaluation of 25 morphological descriptors, Kim et al (2019) reported that the presence or absence of spikes and fruit shape were two descriptors with good stability for jujube cultivar differentiation. In the present study, we also found that jujube fruit shape plays a crucial role in cultivar and/or genotype identification and classification.…”

Section: Discussionmentioning

confidence: 99%

Genetic Diversity and Population Structure of Jujube Cultivars in the United States Revealed by Single Nucleotide Polymorphism Markers

Sapkota,

Zhang,

Park

et al. 2024

J. Amer. Soc. Hort. Sci.

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The nutritional and medicinal significance of jujube (Ziziphus jujuba) has led to persistent efforts in genomics to accelerate the utilization of its germplasm resources. However, the absence of accurate genetic identity of existing germplasm limits these studies. In the United States, different names were frequently given to the same jujube cultivars because the pedigrees of the imported germplasm are unclear. The present study selected a panel of 147 single nucleotide polymorphism (SNP) markers distributed across the jujube genome to examine genetic identity, genetic diversity, and population structure in 177 jujube cultivars sampled from different locations in the United States. SNP profile multilocus matching reported a total of 23 synonymous groups including 116 samples that were identical to at least one other sample. This led to the detection of 74 unique genotypes for subsequent diversity analysis. Model-based genetic structure analysis divided the distinctive genotypes into three major groups, with some admixtures among the groups. The genetic differentiation among these groups was further validated by analysis of molecular variance (Fst = 0.199, P value < 0.001), principal coordinate analysis, and clustering analysis. Morphological traits were studied in some of the genetically identical commercial cultivar groups, (i.e., Li, Lang, and Jinsi). Results demonstrated significant morphological differences within genetically identical cultivars in the Jinsi group, indicating phenotypic variation resulting from mutations in these clones.

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Section: Discussionmentioning

confidence: 99%

Genetic Diversity and Population Structure of Jujube Cultivars in the United States Revealed by Single Nucleotide Polymorphism Markers

Sapkota,

Zhang,

Park

et al. 2024

J. Amer. Soc. Hort. Sci.

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“…The Z. mauritiana tree with very short spines was the DP2L1, DP2L2, and DP2L3 accessions (domesticated in the backyard). Zhao (2021) stated that the climate affected the agromorphological traits of ecotypes, such as spine length (Stoyanov 2015;Kim et al 2019).…”

Section: Variation In Spine and Bark Of Z Mauritaniamentioning

confidence: 99%

Morphological diversity of Indian jujube (Ziziphus mauritiana) in Sumbawa Island, West Nusa Tenggara, Indonesia

NIKMATULLAH,

NAIRFANA,

DEWI

et al. 2023

Biodiversitas

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Abstract. Nikmatullah A, Nairfana I, Dewi SM, Sarjan M. 2023. Morphological diversity of Indian jujube (Ziziphus mauritiana) in Sumbawa Island, West Nusa Tenggara, Indonesia. Biodiversitas 24: 4597-4608. Ziziphus mauritiana Lam. (Indian jujube or Bidara) is an evergreen shrub or small tree tolerant to drought, salinity, and high-temperature stress with various ethnobotanical and ecological values. However, minimal information is available on its diversity in Indonesia. The current study aims to assess the morphological diversity of Z. mauritiana accessions collected from 18 locations in Sumbawa Island, Indonesia. The plant's qualitative and quantitative morphological attributes were collected, including size, L/W ratio and color of leaf and fruit, length, and occurrence of spine and stem surface. The results revealed significant differences in some observed characters among the accessions. Petiole length varied from 0.6 to 1.4 cm, leaf length ranged from 2.9 to 5.0 cm, leaf width ranged from 2.6 to 4.2 cm, and leaf L/W ratio was 1.07 to 1.46. All samples of Z. mauritiana in Sumbawa Island had a spine that occurred evenly in every node, ranging from 0.1 to 1.0 cm. Most accessions had single spinal per node except two accessions, which had double horn-shaped spines in each node. The quantitative characters for fruits also varied, either orbicular or oblong. The fruit length ranged from 1.2 to 1.9 cm, the fruit width varied between 1.1 to 1.8 cm, and the fruit L/W ratio was between 1.0 and 1.2. There were also morphological differences in leaf color, fruit color, shape, and taste (sweet, sour, or bitter). The finding suggests some degree of morphological diversity of Z. mauritiana in Sumbawa, as shown by quantitative and qualitative attributes of the leaf, thorn, and fruit.

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“…In the case of cultivar discrimination of fruit seeds or pits and stones, the high efficiency of models based on texture parameters was reported for pepper seeds [21], apple seeds [22], peach seeds and stones [23], sour cherry pits [24], and sweet cherry pits [25]. Furthermore, the geometric features proved to be useful for the pit or stone discrimination for different cultivars of apricot [26], plum [27][28][29], olive [30], jujube [31], and sweet cherry [25]. However, in the present study, extensive research using dozens of geometric parameters, including linear dimensions and shape factors, was performed for the first time to discriminate sour cherry pits 'Debreceni botermo', 'Łutówka', 'Nefris', 'Kelleris' using different classifiers (machine learning algorithms).…”

Section: Introductionmentioning

confidence: 99%

Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning

2021

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The aim of this study was to develop models based on linear dimensions or shape factors, and the sets of combined linear dimensions and shape factors for discrimination of sour cherry pits of different cultivars (‘Debreceni botermo’, ‘Łutówka’, ‘Nefris’, ‘Kelleris’). The geometric parameters were calculated using image processing. The pits of different sour cherry cultivars statistically significantly differed in terms of selected dimensions and shape factors. The discriminative models built based on linear dimensions produced average accuracies of up to 95% for distinguishing the pit cultivars in the case of ‘Nefris’ vs. ‘Kelleris’ and 72% for all four cultivars. The average accuracies for the discriminative models built based on shape factors were up to 95% for the ‘Nefris’ and ‘Kelleris’ pits and 73% for four cultivars. The models combining the linear dimensions and shape factors produced accuracies reaching 96% for the ‘Nefris’ vs. ‘Kelleris’ pits and 75% for all cultivars. The geometric parameters with high discriminative power may be used for distinguishing different cultivars of sour cherry pits. It can be of great importance for practical applications. It may allow avoiding the adulteration and mixing of different cultivars.

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Analysis of Qualitative and Quantitative Traits to Identify Different Chinese Jujube Cultivars

Cited by 4 publications

References 16 publications

Genetic Diversity and Population Structure of Jujube Cultivars in the United States Revealed by Single Nucleotide Polymorphism Markers

Genetic Diversity and Population Structure of Jujube Cultivars in the United States Revealed by Single Nucleotide Polymorphism Markers

Morphological diversity of Indian jujube (Ziziphus mauritiana) in Sumbawa Island, West Nusa Tenggara, Indonesia

Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning

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