Identification of late-blooming almond (Prunus dulcis L.) genotypes with high kernel quality

Khadivi, Ali; Goodarzi, Somayeh; Sarkhosh, Ali

doi:10.1007/s10681-019-2495-1

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…Significant correlations were detected between some traits as revealed using Pearson correlation coefficient analysis (Table 3). Branch leaf length showed significant and positive correlations with branch leaf width ( r = .72, p ≤ .01), branch petiole length ( r = .65, p ≤ .01), and spur leaf length ( r = .23, p ≤ .01), in agreement with previous findings in almond (Asgari & Khadivi, 2021; Khadivi, Goodarzi, & Sarkhosh, 2019; Khadivi, Safdari, et al, 2019; Khadivi‐Khub & Etemadi‐Khah, 2015). Spur leaf length was positively and significantly correlated with spur leaf width ( r = .64, p ≤ .01) and spur petiole length ( r = .65, p ≤ .01).…”

Section: Resultssupporting

confidence: 91%

“…Nut weight showed significant and positive correlations with nut length (r = .70, p ≤ .01), nut width (r = .76, p ≤ .01), nut thickness (r = .73, p ≤ .01), and shell thickness (r = .65, p ≤ .01), in agreement with previous findings obtained between the nut-related characters of almond(Asgari & Khadivi, 2021;Khadivi, Goodarzi, & Sarkhosh, 2019;Khadivi, Safdari, et al, 2019;Khadivi-Khub & Etemadi-Khah, 2015;Khadivi-Khub & Osati, 2015;Sepahvand et al, 2015). Kernel weight was positively and significantly correlated with nut length (r = .69, p ≤ .01), nut width (r = .63, p ≤ .01), nut thickness (r = .63, p ≤ .01), nut weight (r = .77, p ≤ .01), shell thickness (r = .43, p ≤ .01), kernel length (r = .72, p ≤ .01), kernel width (r = .65, p ≤ .01), and kernel thickness (r = .50, p ≤ .01), in agreement with previous findings obtained between the kernel-related characters of almond(Asgari & Khadivi, 2021;Khadivi, Goodarzi, & Sarkhosh, 2019;Khadivi, Safdari, et al, 2019;Khadivi-Khub & Etemadi-Khah, 2015;Khadivi-Khub & Osati, 2015;Sepahvand et al, 2015).Kernel size depends on kernel weight. Large kernels increase the marketable value of almond because they meet the standards of quality required by the market(Socias i Company et al, 2008).…”

supporting

confidence: 90%

“…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%

“…The resistance to pests and diseases is higher in hard‐shell genotypes than in soft‐shell genotypes (Gradziel & Martinez‐Gomez, 2002; Khadivi‐Khub & Etemadi‐Khah, 2015; Ledbetter & Shonnard, 1992). Therefore, the type of genotype used has a considerable effect on the breeding programs, so that in the case of soft‐shell genotypes, identification of individuals that are resistant to fungi and insects is a priority, while in the case of semi‐soft‐shell genotypes, breeders seek to select genotypes having an acceptable shelling (Khadivi, Goodarzi, & Sarkhosh, 2019).…”

Section: Resultsmentioning

confidence: 99%

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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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Section: Resultssupporting

confidence: 91%

supporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Different effects of the same pollinators in different years can be attributed to differences in climate parameters. Sumbul and Bayazit (2019) reported fruit lengths of different almond cultivars as between 12.81-19.35 mm, fruit widths as between 15.43-27.12 mm and fruit mass values as between 1.55-6.34 g. In another study conducted on almonds, fruit mass values were reported as between 7.74-3.40 g (Khadivi et al, 2019). In a previous study conducted on adaptation of almond cultivars, fruit mass values were reported as between 1.62-4.15 g, fruit lengths as between 32.30-38.72 mm and fruit widths as between 16.00-26.36 mm (Yildiz and Perdahci, 2019).…”

Section: Pomological Characteristicsmentioning

confidence: 99%

Effects of Different Pollinators on Fruit Set and Quality Attributes of Texas Almond (Prunus dulcis L.) Cultivar

Yaman

Uzun

2021

Horticultural Studies

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There is a positive relationship between pollination and fruit yield of almonds. Since self-incompatibility is a major problem in almond cultivars, foreign pollinators are generally used in almonds to get high yield and quality. This study was conducted to investigate the effects of different pollinators (inbreed hybrid combinations) on fruit set and pomological characteristics of Texas almond cultivar in 2018 -2019 growing seasons. Fruit set ratios varied between 3.6% (Texas × A3) and 5.2% (Texas × A4) in the first year of the study and between 8.0% (Texas × A3) and 13.2% (Texas × A2) in the second year. As the average of two years, the lowest fruit length (32.03 ± 2.45 mm) was observed in Texas × A4 combination and the greatest fruit length (35.31 ± 3.05 mm) was observed in Texas × A1 combination, whereas fruit width values varied between 19.37 ± 2.43 mm and 23.79 ± 1.33 mm. Although pollinators influenced fruit mass values, the greatest value (5.73 ± 0.74 g) was observed in Texas × A3 combination. It was concluded based on present findings that use of A2 cultivar as a pollinator in almond orchards established with Texas cultivar may have positive effects on fruit set.

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Relationship between molecular markers and important fruit‐related traits in almond (Prunus dulcis [Mill.] D.A. Webb syn. P. amygdalus Batsch) as revealed using multiple regression analysis (MRA)

Khadivi,

Mashhadi,

Hosseini

2023

Food Science & Nutrition

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Almond (Prunus dulcis [Mill.] D.A. Webb syn. P. amygdalus Batsch) is one of the most important nut crops, and its kernel is the edible part that has a high nutritional value and is used in the confectionery and cosmetics industries. The present research aimed to identify random amplified polymorphic DNA (RAPD) and inter simple sequence repeat (ISSR) molecular markers associated with important fruit traits in late‐blooming almond genotypes through multiple regression analysis (MRA). The studied genotypes showed significant differences from each other in terms of the measured fruit‐related traits. The ISSR primers used produced a total of 125 bands in the studied germplasm, of which 112 showed polymorphic bands. The RAPD primers produced a total of 190 DNA fragments, of which 172 fragments showed polymorphism among genotypes. Some polymorphic fragments of ISSR and RAPD showed significant correlations with the fruit traits measured. Some of these informative markers were associated with more than one trait, which could be caused by the pleiotropic effects of quantitative trait loci related to each other in different traits. For instance, some of the markers showed significant correlations with both nut weight and kernel weight, which indicates a positive correlation between these two traits. Informative markers identified in this study can be used to select suitable parents for population generation for mapping. It is also useful for selecting superior genotypes, especially when information about their genetic basis, such as a linkage map, is not available.

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Identification of late-blooming almond (Prunus dulcis L.) genotypes with high kernel quality

Cited by 6 publications

References 19 publications

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

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

Effects of Different Pollinators on Fruit Set and Quality Attributes of Texas Almond (Prunus dulcis L.) Cultivar

Relationship between molecular markers and important fruit‐related traits in almond (Prunus dulcis [Mill.] D.A. Webb syn. P. amygdalus Batsch) as revealed using multiple regression analysis (MRA)

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