scholarly journals Karyotypic Characteristics and Genetic Relationships of Apricot Accessions from Different Ecological Groups

2021 ◽  
Vol 146 (1) ◽  
pp. 68-76
Author(s):  
Wenwen Li ◽  
Liqiang Liu ◽  
Weiquan Zhou ◽  
Yanan Wang ◽  
Xiang Ding ◽  
...  
Keyword(s):  
Genetic Relationships ◽  
Principal Component ◽  
Small Chromosome ◽  
Prunus Armeniaca ◽  
Ecological Group ◽  
Ecological Groups ◽  
Central Asian ◽  
Satellite Chromosomes ◽  
And Cluster Analysis ◽  
Karyotype Symmetry

The present study aims to reveal the karyotypic characteristics and genetic relationships of apricot (Prunus armeniaca L.) accessions from different ecological groups. Fourteen, 9, and 30 accessions from the Central Asian ecological group, North China ecological group, and Dzhungar-Ili ecological group, respectively, were analyzed according to the conventional pressing plate method. The results showed that all the apricot accessions from the different ecological groups were diploid (2n = 2x = 16). The total haploid length of the chromosome set of the selected accessions ranged from 8.11 to 12.75 μm, which was a small chromosome, and no satellite chromosomes were detected. All accessions had different numbers of median-centromere chromosomes or sub-median-centromere chromosomes. The karyotypes of the selected accessions were classified as 1A or 2A. Principal component analysis revealed that the long-arm/short-arm ratio (0.968) and the karyotype symmetry index (−0.979) were the most valuable parameters, and cluster analysis revealed that the accessions from the Central Asian ecological group and Dzhungar-Ili ecological group clustered together. In terms of karyotypic characteristics, the accessions from the Dzhungar-Ili ecological group and Central Asian ecological group were closely related.

GENETIC DIVERSITY OF EXTRA-EARLY YELLOW MAIZE HYBRIDS UNDER STRIGA ENVIRONMENTS

2021 ◽  
Vol 5 (1) ◽  
pp. 302-308
Author(s):  
Abdulwahab Saliu Shaibu
Keyword(s):  
Genetic Diversity ◽  
Genetic Relationships ◽  
Block Design ◽  
Crop Improvement ◽  
Principal Component ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Group I ◽  
Significant Difference ◽  
And Cluster Analysis

The success of any breeding program depends on the ability to determine germplasm diversity and genetic relationships among breeding materials. Genetic diversity is an invaluable aid in crop improvement. This study was carried out to determine the genetic diversity among 70 extra-early yellow maize hybrids under Striga environments. Cluster and principal component (PC) analyses were used to determine the genetic diversity of the hybrids. Data on morphological and agronomical data were collected. The experiment was set up in two locations (Abuja and Mokwa) in a randomized incomplete block design experiment with two replications. A significant difference was observed among the hybrids in all the traits studied and a significant genotype × environment interaction was observed for all traits except for plant height, anthesis silking interval and Striga count at 8 and 10 WAP. The principal component reveals that the first three components account for 86% variability. PC1 gave maximum variability (43%) and was loaded with PC1 and the first four PCs can be utilized in hybridization programs. The principal component biplot reveals the relationship among traits and the distance of each variable in determining variability among hybrids. The cluster diagram reveals five distinct groups. Group IV consisted of Striga tolerant hybrids and group I consisted of susceptible hybrids. Both principal component and cluster analysis revealed the genetic diversity among the hybrids and identified genotypes that were Striga tolerant and could be selected as choice of parental materials to develop Striga resistant materials

scholarly journals Genetic variation and forensic efficiency of 30 indels for three ethnic groups in Guangxi: relationships with other populations

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6861 ◽  
Author(s):  
Weian Du ◽  
Chunlei Feng ◽  
Ting Yao ◽  
Cheng Xiao ◽  
Hongyan Huang ◽  
...  
Keyword(s):  
Genetic Relationships ◽  
Regional Distribution ◽  
Principal Component ◽  
Personal Identification ◽  
Bonferroni Correction ◽  
Forensic Application ◽  
Discrimination Power ◽  
Forensic Efficiency ◽  
Hardy Weinberg Equilibrium ◽  
And Cluster Analysis

Aim In this study, we used a series of diallelic genetic marker insertion/deletion polymorphism (indel) to investigate three populations of Yao, Kelao, and Zhuang groups in the Guangxi region of China and to evaluate their efficiency in forensic application. Result No deviations for all 30 loci were observed from the Hardy–Weinberg equilibrium after Bonferroni correction (p > 0.05/30 = 0.0017). The allele frequencies of the short allele (DIP-) for the above three populations were in the range of 0.0520–0.9480, 0.0950–0.8780, and 0.0850–0.915, respectively. The observed heterozygosity of the 30 loci for the three populations was in the ranges 0.0802–0.5802, 0.1908–0.6053, and 0.1400–0.5600, respectively. The cumulative power of exclusion and combined discrimination power for Yao, Kelao, and Zhuang groups were (0.9843 and 0.9999999999433), (0.9972 and 0.9999999999184), and (0.9845 and 0.9999999999608), respectively. The DA distance, principal component analysis, and cluster analysis indicated a clear regional distribution. In addition, Zhuang groups had close genetic relationships with the Yao and Kelao populations in the Guangxi region. Conclusion This study indicated that the 30 loci were qualified for personal identification; moreover, they could be used as complementary genetic markers for paternity testing in forensic cases for the studied populations.

scholarly journals Morphologic and Agronomic Diversity of Brassica napus Crops

2008 ◽  
Vol 133 (1) ◽  
pp. 48-54 ◽  
Author(s):  
Pilar Soengas ◽  
Maria Elena Cartea ◽  
Pablo Velasco ◽  
Guillermo Padilla ◽  
Amando Ordás
Keyword(s):  
Cluster Analysis ◽  
Brassica Napus ◽  
Agronomic Traits ◽  
Genetic Relationships ◽  
Winter Season ◽  
Principal Component ◽  
Group Method ◽  
Pair Group ◽  
Total Variability ◽  
And Cluster Analysis

A Brassica napus L. crop called nabicol traditionally has been grown by farmers in northwestern Spain for many years and is an important horticultural product during the winter season. The relationship of nabicol to other B. napus crops has been studied based on simple sequence repeat (SSR) data. However, molecular and morphologic classifications often disagree. The objectives of this research were to study the morphologic and agronomic relationships of nabicol landraces to other B. napus crops and to compare those relationships with the ones already known, based on SSR data. Thirty-five B. napus populations from different geographic origins and uses were evaluated. Data were recorded on 17 morphologic and agronomic traits. Principal component analysis and cluster analysis were performed to classify the populations. Eight principal components (94% of the total variability) were standardized to produce the Mahalanobis' generalized distances, and a cluster analysis was conducted using the unweighted pair group method with arithmetic averages. There are no major differences between B. napus var. pabularia (DC.) Rchb. (nabicol, couve-nabiça, forage rape) and B. napus var. oleifera DC. (oilseed rape), and they probably share a common origin. Rape kale (B. napus var. pabularia) and rutabaga [B. napus var. napobrassica (L.) Rchb.] cultivars are separated from the rest and probably they have an independent origin or domestication. Molecular and morphologic classifications are complementary, and both are necessary to classify germplasm correctly and to clarify genetic relationships among B. napus crops.

scholarly journals Origin of resistance to Plum pox virus in apricot: microsatellite (Ssr) data analysis

2002 ◽  
Vol 38 (SI 1 - 6th Conf EFPP 2002) ◽  
pp. S117-S121 ◽  
Author(s):  
T.N. Zhebentyayeva ◽  
G.L. Reighard ◽  
B. Krška ◽  
V.M. Gorina ◽  
A.G. Abbott
Keyword(s):  
Genetic Relationships ◽  
Genetic Distances ◽  
Prunus Armeniaca ◽  
Plum Pox Virus ◽  
Sources Of Resistance ◽  
Resistant Cultivars ◽  
Ssr Analysis ◽  
Central Asian ◽  
Prunus Armeniaca L ◽  
Different Sources

The objective of this study was to establish the genetic relationship among cultivars commonly used as donors for resistance to Plum pox virus (PPV) in order to identify the putative sources of resistance to PPV. The plant material tested represented the European, Central Asian and Chinese ecogeographical groups of cultivated apricots as well as the wild Dzhungar-Zailij population of Prunus armeniaca L. Forty-eight native accessions as well as the resistant (or tolerant) cultivars Harlayne, Stark Early Orange (SEO), Goldrich, Vestar and two hybrid forms Vestar × SEO (LE 3276) and Velkopavlovická × SEO (LE 2904) were screened by means of SSR analysis. To elucidate genetic relationships among apricot germplasm, a dendrogram was produced using neighbor joining (NJ) analysis of Nei’s pair-wise genetic distances over 14 polymorphic SSR markers. On the dendrogram, resistant cultivars were separated into two different clusters suggesting two different sources of resistance to PPV. As was expected from pedigrees, SEO, Vestar, LE 2904 and LE 3276 were grouped together in a cluster adjacent to the European cultivars. Resistant cultivars Harlayne and Goldrich were within another group containing Central Asian apricots and Dzhungar-Zailij form.

scholarly journals Principal Component and Cluster Analysis as a Tool in the Assessment of Tomato Hybrids and Cultivars

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
G. Evgenidis ◽  
E. Traka-Mavrona ◽  
M. Koutsika-Sotiriou
Keyword(s):  
Yield Components ◽  
Genetic Relationships ◽  
Crop Improvement ◽  
Principal Component ◽  
Breeding Value ◽  
Phenotypic Traits ◽  
Quality Stability ◽  
Germplasm Diversity ◽  
Data Yield ◽  
And Cluster Analysis

Determination of germplasm diversity and genetic relationships among breeding materials is an invaluable aid in crop improvement strategies. This study assessed the breeding value of tomato source material. Two commercial hybrids along with an experimental hybrid and four cultivars were assessed with cluster and principal component analyses based on morphophysiological data, yield and quality, stability of performance, heterosis, and combining abilities. The assessment of commercial hybrids revealed a related origin and subsequently does not support the identification of promising offspring in their crossing. The assessment of the cultivars discriminated them according to origin and evolutionary and selection effects. On the Principal Component 1, the largest group with positive loading included, yield components, heterosis, general and specific combining ability, whereas the largest negative loading was obtained by qualitative and descriptive traits. The Principal Component 2 revealed two smaller groups, a positive one with phenotypic traits and a negative one with tolerance to inbreeding. Stability of performance was loaded positively and/or negatively. In conclusion, combing ability, yield components, and heterosis provided a mechanism for ensuring continued improvement in plant selection programs.

The Utilization of Ftir (Fourier Transform Infra-Red) Method Combined with Chemometrics For Authentication of Indonesian Coffee Powder

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Firmansyah A. ◽  
Winingsih W. ◽  
Soebara Y S
Keyword(s):  
Fourier Transform ◽  
Natural Product ◽  
High Performance ◽  
Principal Component ◽  
Raw Material ◽  
Attenuated Total Reflectance ◽  
Coffee Bean ◽  
Product Analysis ◽  
Total Reflectance ◽  
And Cluster Analysis

Analysis of natural product remain challenging issues for analytical chemist, since natural products are complicated system of mixture. The most popular methods of choice used for quality control of raw material and finished product are high performance liquid chromatography (HPLC), gas chromatography (GC) and mass spectrometry (MS). The utilization of FTIR-ATR (Fourier Transform Infrared-Attenuated Total Reflectance) method in natural product analysis is still limited. This study attempts to expand the use of FTIR spectroscopy in authenticating Indonesian coffee powder.The coffee samples studied were taken from nine regions in Indonesia, namely Aceh Gayo, Flores, Kintamani, Mandheling, Papua, Sidikalang, Toraja, Kerinci and Lampung.The samples in the form of coffee bean from various regions were powdered . The next step conducted was to determine the spectrum using the FTIR-ATR (Attenuated Total Reflectance) using ZnSe crystal of 8000 resolution. Spectrum samples, then, were analyzed using chemometrics. The utilized chemometric model was the principal component analysis (PCA) and cluster analysis (CA). Based on the chemometric analysis, there are similarities between Aceh Gayo coffee with Toraja coffee, Mandailing coffee, Kintamani coffee and Flores coffee. Sidikalang coffee has a similarity to Flores coffee; Papua coffee has a similarity to Sidikalang coffee; Lampung coffee has a similarity to Sidikalang coffee, while Kerinci coffee has a similarity to Papua coffee.

scholarly journals Four-Year Study on the Bio-Agronomic Response of Biotypes of Capparis spinosa L. on the Island of Linosa (Italy)

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 327
Author(s):  
Salvatore La Bella ◽  
Francesco Rossini ◽  
Mario Licata ◽  
Giuseppe Virga ◽  
Roberto Ruggeri ◽  
...  
Keyword(s):  
Block Design ◽  
Principal Component ◽  
Flower Bud ◽  
Natural Habitats ◽  
Phenological Stages ◽  
Average Value ◽  
Randomized Complete Block Design ◽  
Capparis Spinosa ◽  
Production Behavior ◽  
And Cluster Analysis

The caper plant is widespread in Sicily (Italy) both wild in natural habitats and as specialized crops, showing considerable morphological variation. However, although contributing to a thriving market, innovation in caper cropping is low. The aim of the study was to evaluate agronomic and production behavior of some biotypes of Capparis spinosa L. subsp. rupestris, identified on the Island of Linosa (Italy) for growing purposes. Two years and seven biotypes of the species were tested in a randomized complete block design. The main morphological and production parameters were determined. Phenological stages were also observed. Analysis of variance showed high variability between the biotypes. Principal component analysis and cluster analysis highlighted a clear distinction between biotypes based on biometric and production characteristics. Production data collected in the two-year period 2007–2008 showed the greatest production levels in the third year following planting in 2005. In particular, biotype SCP1 had the highest average value (975.47 g) of flower bud consistency. Our results permitted the identification of biotypes of interest for the introduction into new caper fields. Further research is needed in order to characterize caper biotypes in terms of the chemical composition of the flower buds and fruits.

scholarly journals Fee - fishing operation evaluation at Nothwest São Paulo State, Brazil

2005 ◽  
Vol 62 (6) ◽  
pp. 590-596
Author(s):  
Ruy Bessa Lopes ◽  
Luiz de Carvalho Landell Filho ◽  
Carlos Tadeu dos Santos Dias
Keyword(s):  
Fishery Management ◽  
Stocking Density ◽  
Principal Component ◽  
Sao Paulo ◽  
São Paulo ◽  
Productive Performance ◽  
Paulo State ◽  
Productive System ◽  
São Paulo State ◽  
And Cluster Analysis

Fee-fishing operations developed recently in Brazilian agricultural scenery in a rather disordered manner. This study, carried out at the northwest region of São Paulo State, Brazil, focuses on the productive performance of fee-fishing system. Several visits were made monthly to nine fee-fishing establishments, for six months. A questionnaire by owners targeting 13 indicators of the operation's productive performance. Data were submitted to multivariate analysis (MANOVA), principal component analysis (PCA) and cluster analysis. MANOVA indicated significant differences between the fee-fishing operations. The PCA analyses indicated, from the higher coefficient eigenvectors, three attributes for the lakes, such as productive system, fishery management and operational administration. The cluster analyses classified the fishing lakes in four groups. The indicators angler frequency (AF), stocking density (SD), stocking biomass (SB), total capture (TC) and capture/lake/day (CLD), which are part of the attribute productive system, were the most important indicators of "fee-fishing" operations performance in this study.

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