Selection of the promising fig (<i>Ficus carica</i> L.) accessions using fruit‐related characters

Khadivi, Ali; Mirheidari, Farhad

doi:10.1002/fsn3.2886

Cited by 9 publications

(9 citation statements)

References 30 publications

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“…The PC2 has high loadings with leaf lobations traits, and PC3 and PC4 with traits related to leaf width (PUS and UVL) and the shape of the leaf base (Figure 5). When measured, the same leaf traits were also found in PCs of different fig accessions of Iran [12,13,16], Tunisia [11], Libya and Egypt [51], Morocco [13,15], in Mulberry genotypes [23], and in grapevine [52].…”

Section: Discussionmentioning

confidence: 63%

“…Based on a Condit's early work [7], the International Plant Genetic Resources Institute (IPGRI) supplied an official descriptors list for Ficus carica L. accessions or cultivars [8], allowing the scientific communities to carry out characterization and identification work using the standardized method. Studies on fig germplasm characterization have been carried out by different authors using morphological traits [9][10][11][12][13], and their combination with chemical compounds [14,15], or with gene marker-based approaches [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Morphological Characterization of Some Local Varieties of Fig (Ficus carica L.) Cultivated in Southern Italy

2022

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Figs (Ficus carica L.) are ancient fruits of the Mediterranean basin. In Southern Italy, they are particularly important in the traditional course of local cuisine. In Southern Italy, fig trees are rarely cultivated in specialized orchards but are present in association with other fruit trees (for example, olive, almond, pear, pomegranate, and grapevine). These mixed orchards are particularly important in the traditional agroecosystems of the south of Italy. This study reports preliminary results on the local fig variety’s leaf morphological characterization, aiming to elucidate the presence of synonymousness or homonymy for in situ and ex situ conservation and further exploitation. A field survey was carried out during the summer of 2018 in some areas of the Basilicata district. Thirty local putative varieties were collected, and each of them was identified by GPS coordinates and recorded photographically. Moreover, they were cataloged with the name of the Municipality of origin, year, details of growing location (main crop, mixed orchard, gardens, and single plants), approximate age, and the local name supplied by the donor. All relevant information was included in the accession code. Leaf samples were collected from each accession from medium-length shoots. A digital image of each leaf sample was captured using a digital camera. Leaf morphometric traits were recorded using ImageJ and statistically analyzed using the software PAST 4.11 to discriminate among fig accessions. The multivariate morphometric approach applied correctly classified more than 90% of the leaves and helped to discriminate among accession. Moreover, linear discriminant analysis helped to recognize the presence of different synonymousness and homonymy of different accessions. The results revealed that measured leaf morphometric aided by image analysis could be a simple and inexpensive accessions classification tool.

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Section: Discussionmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Morphological Characterization of Some Local Varieties of Fig (Ficus carica L.) Cultivated in Southern Italy

2022

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“…Three characters, including branch leaf length, branch leaf width, and branch petiole length, formed the PC3, accounting for 5.86% of the total variance. PCA has been previously used to investigate the phenotypic diversity of almond genotypes (Asgari & Khadivi, 2021; Khadivi, Goodarzi, & Sarkhosh, 2019; Khadivi, Safdari, et al, 2019; Sakar et al, 2020; Sakar, Yamani, & Rharrabti, 2019; Sepahvand et al, 2015) and other plants (Khadivi et al, 2021; Khadivi & Mirheidari, 2021; Khadivi, Mirheidari, & Moradi, 2022; Khadivi, Mirheidari, Saeidifar, & Moradi, 2022; Moradi et al, 2022; Safdari & Khadivi, 2021).…”

Section: Resultsmentioning

confidence: 99%

Selection of superior late‐blooming almond (Prunus dulcis [Mill.] D.A.Webb) genotypes using morphological characterizations

Beigi

Khadivi

2023

Food Science & Nutrition

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Almond (Prunus dulcis [Mill.] D.A.Webb) is one of the earliest domesticated trees and the evidence dates back to 3000–2000 BC. In the present study, 198 almond seedling origin trees were studied to select late‐flowering genotypes having high kernel quality. Significant variabilities were exhibited among the genotypes investigated based on the recorded traits. Full‐blooming date ranged from mid‐March to mid‐April. The Ward dendrogram clustered the genotypes into two major clusters forming several subclusters. After clustering the genotypes based on the full‐blooming dates, 68 late‐blooming genotypes were recognized and reanalyzed based on the quantitative characters to select the superior ones. Nut‐related characters were as follows: nut length: 22.34–43.05 mm, nut width: 14.07–24.34 mm, nut thickness: 9.21–18.00 mm, nut weight: 1.88–6.62 g, and shell thickness: 2.26–4.59 mm. Kernel‐related characters were as follows: kernel length: 16.73–25.91 mm, kernel width: 8.50–13.64 mm, kernel thickness: 3.56–7.37 mm, and kernel weight: 0.35–1.41 g. Kernel weight was positively and significantly associated with nut weight, kernel thickness, kernel length, kernel width, nut length, and branch leaf width. Thus, these key variables are the main traits accounting for kernel weight, and they should be considered together in breeding with aiming at increasing the kernel weight. Based on ideal values of the important and commercial characters of almond, such as fruit yield, nut weight, shell hardness, kernel shape, kernel weight, and kernel taste, 19 late‐blooming genotypes were promising and are recommended for cultivation in orchards.

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“…Based on the scatter plot generated using PC1 and PC2, the accessions were placed into four groups and most of them were placed in the center of plot (Figure 5). PCA has been previously used to investigate the phenotypic diversity of most plants (Khadivi et al, 2021; Khadivi, Mirheidari, & Moradi, 2022; Khadivi, Mirheidari, Saeidifar, & Moradi, 2022; Khadivi & Mirheidari, 2021; Moradi et al, 2022; Safdari & Khadivi, 2021).…”

Section: Resultsmentioning

confidence: 99%

Morphological characterizations of parsnip (Pastinaca sativa L.) to select superior genotypes

Khadivi

Mirheidari

Moradi

2023

Food Science & Nutrition

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Parsnip (Pastinaca sativa L.) is an edible root that has long been used in cooking and preparing baby food and livestock. The present study was performed to evaluate the phenotypic diversity of 69 accessions of this species to select superiors in terms of root quality in Paykan village, Isfahan province, Iran, in the year 2022. There were significant differences among the accessions investigated (ANOVA, p < .01). Coefficient of variation (CV) was more than 20.00% in the majority of measured characters (64 out of 66 characters), indicating high diversity among the accessions. Foliage width (crown) ranged from 10 to 55 cm with an average of 32.32 cm. Root shape was tapering (33), obtriangular (10), narrow oblong (5), wide oblong (5), obovate (13), and fusiform (3). Root length ranged from 81.2 to 294 mm with an average of 166.44 mm. Root diameter at its middle point ranged from 15.58 to 125.12 mm with an average of 51.83 mm. Root weight ranged from 15 to 1200 g with an average of 315.36 g. Inner core (xylem) pigmentation/color was cream yellow (11 accessions), light yellow (12), yellow (42), dark yellow (2), and yellow–light orange (2). In the cluster analysis based on Ward's method, the accessions were divided into two main clusters according to morphological traits. This is despite the fact that parsnip is part of the medicinal plant native and valuable in most farms in tropical cities. Compared with carrots, parsnip plants are more adaptable to different environmental conditions. The accessions studied here showed high phenotypic diversity. Based on ideal values of the important and commercial characters of parsnip, such as root length, root weight, inner core (xylem) pigmentation/color, root shape, flesh color intensity, flesh palatability, and total soluble solids, 14 genotypes, including Parsnip‐3, Parsnip‐9, Parsnip‐24, Parsnip‐32, Parsnip‐32, Parsnip‐48, Parsnip‐51, Parsnip‐52, Parsnip‐58, Parsnip‐60, Parsnip‐62, Parsnip‐65, Parsnip‐67, and Parsnip‐69, were promising and are recommended for cultivation.

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Selection of the promising fig (Ficus carica L.) accessions using fruit‐related characters

Cited by 9 publications

References 30 publications

Morphological Characterization of Some Local Varieties of Fig (Ficus carica L.) Cultivated in Southern Italy

Morphological Characterization of Some Local Varieties of Fig (Ficus carica L.) Cultivated in Southern Italy

Selection of superior late‐blooming almond (Prunus dulcis [Mill.] D.A.Webb) genotypes using morphological characterizations

Morphological characterizations of parsnip (Pastinaca sativa L.) to select superior genotypes

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