scholarly journals Elemental Composition and Some Nutritional Parameters of Sweet Pepper from Organic and Conventional Agriculture

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 863
Author(s):  
Rosa Guilherme ◽  
Fernando Reboredo ◽  
Mauro Guerra ◽  
Sandrine Ressurreição ◽  
Nuno Alvarenga
Keyword(s):  
Principal Component ◽  
Sweet Pepper ◽  
Fruit Weight ◽  
Agricultural Products ◽  
Ripening Stage ◽  
Pca Analysis ◽  
Conventional Agriculture ◽  
A Value ◽  
Increasing Demand ◽  
Nutritional Studies

The increasing demand of organic agriculture (OA) is based on the consumer’s belief that organic agricultural products are healthier, tastier and more nutritious. The effect of OA and conventional agriculture (CA) methods on the elemental compositions of green and red sweet peppers were studied. The highest concentrations of Ca, Cu, K and P occur in peppers from OA in both states of ripeness, with emphasis on Ca and K contents. Furthermore, the principal component analysis (PCA), points out to a clear separation, regarding concentrations, between peppers from OA and CA. The average fruit weight is higher in OA, 141 g versus 112 g in CA. Regarding productivity, CA reaches a value of 30.1 t/ha, 7% higher than the value observed for OA, i.e., 28 t/ha. Peppers from CA, exhibited greater protein content than those which originated from OA, regardless of the ripening stage, but not more ashes. Regarding nutritional ratios, the ripening stage and the production mode, can be important for an adequate choice regarding a more balanced Ca/P ratio, and the studied variety contained high Ca values ranging between 1009 and 1930 mg.kg−1. The PCA analysis also revealed that Mn and Fe are inversely correlated, confirming the importance of the Mn/Fe ratio evaluation in nutritional studies.

scholarly journals Physical and chemical variability of Camu-camu fruits in cultivated and uncultivated areas of the Colombian Amazon

2020 ◽  
Vol 42 (2) ◽  
Author(s):  
Juan Carlos Aguirre-Neira ◽  
Maurício Sedrez dos Reis ◽  
Maritza Adelina Rojas Cardozo ◽  
Lauren Raz ◽  
Charles Roland Clement
Keyword(s):  
Physicochemical Characterization ◽  
Principal Component ◽  
Ascorbic Acid Content ◽  
Fruit Weight ◽  
Cultivated Plants ◽  
Pulp Yield ◽  
Colombian Amazon ◽  
Increasing Demand ◽  
Brix Value ◽  
Physical And Chemical

Abstract Camu-camu (Myrciaria dubia, Myrtaceae) has the highest reported vitamin C concentrations of any native Amazonian fruit tree species, with increasing demand in domestic and international markets. With the goal of aiding management and conservation programs, we studied the diversity of camu-camu in cultivated and uncultivated areas, based on physicochemical characterization of the fruits. We evaluated 2,250 fruits from 87 plants from six localities of the Tarapacá district (Amazonas, Colombia) and from the Amazonian fruit germplasm bank of Agrosavia (Meta, Colombia). We found high physicochemical variability within and among localities, and superior fruits in the localities where non-cultivated plants were sampled, especially Pechiboy. Using correlations and principal component analyses, we identified the variables Brix value, ascorbic acid content, fruit weight and pulp yield as the most useful for intraspecific selection of plants. The most promising plants presented Brix values of 8.2 ± 0.88 (maximum 10.9), fruit mass of 14.4 ± 1.2 g (max. 18.4 g) and pulp yields of 0.82 ± 0.02 (max. 0.87). These plants can be considered as possible sources for future breeding work. We conclude that there are plants in Tarapacá with relevant characteristics for commercialization and improvement of the species.

scholarly journals Results and prospects of the Astrakhan selection of vegetable and melon crops

2021 ◽  
pp. 16-21
Author(s):  
O. P. Kigashpaeva ◽  
A. V. Gulin ◽  
R. H. Kapanova ◽  
S. A. Volodina
Keyword(s):  
Import Substitution ◽  
Sweet Pepper ◽  
Agricultural Products ◽  
Vegetable Crops ◽  
State Register ◽  
Russian Research Institute ◽  
Home Cooking ◽  
Increasing Demand ◽  
Selection Of ◽  
Russian Research

Relevance. Since the increasing demand for agricultural products, especially at present in the conditions of import substitution, cannot be met without creating new highly productive varieties and hybrids.Material and methods. This article provides a description and comparative characteristics of economically valuable qualities and varieties of vegetable crops, the most common and in demand among the population, created by breeders of the All-Russian Research Institute of Irrigated Vegetable Growing and Melon Growing – a branch of the FSBSI "PAFSC RAS". The experiments were laid on the experimental fields.Results. As a result of many years of breeding work presented varieties belong to different variety types, they differ in groups of precocity, shape, size, color of fruits. Tomatoes – Astrakhan, Bulldog, Avdeevsky, Caspian, Malinovi shar, Moryana, Rychansky, Forward, Orange Avuri, Malinovi Supergol, etc. Varieties of sweet pepper – Atomor, Marble, Novichok VNIIOB, Sprinter, Lyudmila, etc. Varieties of eggplant – Albatross, Diamond, Astrakom, Nizhnevolzhsky, Swan, etc. Since 2021, the Gnomik tomato variety has been entered into the State Register, and the Zarnitsa sweet pepper variety is being tested. The Astrakhan region is also a center for the creation and production of melon crops, their fruits belong to dietary products, are used both fresh and for preservation, preparation of drinks, desserts, home cooking. Watermelon varieties – Astrakhan, Photon, Ilyasovsky, Portioned; melon – Lada, pumpkin – Kroshka and Kapelka, zucchini – Sosnovsky and Jubilee, squash – Tabolinsky.

ESTIMATION OF GENETIC DIVERGENCE IN CHILLI PEPPER (CAPSICUM ANNUUM L.) GENOTYPES FOR MORPHOLOGICAL AND FRUIT TRAITS UNDER HOT CLIMATE OF UMERKOT, SINDH

2021 ◽  
Vol 37 (1) ◽  
pp. 21-28
Author(s):  
A. Memon ◽  
R. Ahmad ◽  
M. S. Depar ◽  
A. K. Pathan ◽  
D. Ibrar
Keyword(s):  
Cluster Analysis ◽  
Genetic Divergence ◽  
Agricultural Research ◽  
Arid Zone ◽  
Principal Component ◽  
Fruit Weight ◽  
Economic Traits ◽  
Chilli Pepper ◽  
Hot Climate ◽  
Improvement Programs

Thirty-two genotypes of chilli from three different sources (local dandicuts, AVRDC and PGRI PARC) were evaluated for the presence of genetic divergence among them for different agro-economic traits i.e., plant height, stem girth, fruit length, fruit girth, number of fruits per plant, number of seed per fruit, fresh fruit weight and dry fruit weight at Arid Zone Agricultural Research Institute, Umerkot, Sindh during 2018. All these genotypes were found to be significantly different from each other for all the studied traits. For further diversity analysis, multivariate analyses like principal component analysis (PCA) and Cluster analysis were also performed to figure out the traits responsible for maximum variability and grouping of genotypes according to their similarities and differences for their future utilization in chilli breeding programs. PCA analysis showed that first four PCs exhibited 82.79% of the total variability among these 32 chilli genotypes. Cluster analysis showed four different sub-clusters and the genotypes from every single source merge in each sub-cluster, thus showing that chilli genotypes are from different geographical backgrounds. Based on these results, the chilli genotypes can be further utilized in future chilli improvement programs in Pakistan.  Genotypes AZRI-DS-14, AZRI-DS-01 and AVPP-9804 showed better performance.

scholarly journals Exploring the Innovative Personality Characteristics among Teachers

2016 ◽  
Vol 9 (4) ◽  
pp. 1 ◽  
Author(s):  
Nooraini Othman
Keyword(s):  
Principal Component Analysis ◽  
Secondary School ◽  
Goodness Of Fit ◽  
Secondary School Teachers ◽  
Principal Component ◽  
Threshold Value ◽  
Personality Characteristics ◽  
Pca Analysis ◽  
School Teachers ◽  
Confirmatory Factor

<p class="apa">The aim of this study is to explore the characteristics of innovative personality among teachers in Malaysia. Samples of the research were randomly selected among secondary school teachers in three districts in Malaysia. Research instrument was self-developed by the researchers based on interviews carried out with some resource persons who are both experts and authoritative in their fields, as well as through literature review. A pilot study was carried out among 30 respondents. Cronbach’s Alpha value for the whole instrument is .952, indicating that it is reliable and suitable for actual data collection. A total of 484 sets of questionnaires were completed and gathered to form the data for this research. The data were then analysed using an advanced statistical method called Principal Component Analysis (PCA). Findings of the research concluded three constructs, namely, Leadership, Openness and Braveness. The constructs were labelled based on groups of items which were formed as a result of the PCA analysis. Meanwhile, Confirmatory Factor Analysis (CFA) was used to validate each dimension and to analyse the coherence of data based on model hypothesis. The findings of CFA indicated the goodness-of-fit values of the revised model, as follows: CMIN/DF=2.56; CFI=.935; and RMSEA=.057; with each figure above the threshold value. <strong></strong></p>

Pork Quality Classification Using a Hyperspectral Imaging System and Neural Network

2007 ◽  
Vol 3 (1) ◽  
Author(s):  
Qiao Jun ◽  
Michael Ngadi ◽  
Ning Wang ◽  
Aynur Gunenc ◽  
Mariana Monroy ◽  
...  
Keyword(s):  
Neural Network ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Objective Assessment ◽  
Principal Component ◽  
Pork Quality ◽  
Pca Analysis ◽  
Error Frequency ◽  
Quality Classification ◽  
Average Reflectance

Pork quality is usually determined subjectively as PSE, PFN, RFN, RSE and DFD based on color, texture and exudation of the meat. In this study, a hyperspectral-imaging-based technique was developed to achieve rapid, accurate and objective assessment of pork quality. The principal component analysis (PCA) and stepwise operation methods were used to select feature waveband from the entire spectral wavelengths (430 to 980 nm). Then the feature waveband images were extracted at the selected feature wavebands from raw hyperspectral images, and the average reflectance (R) was calculated within the whole loin-eye area. Artificial neural network was used to classify these groups. Results showed that PCA analysis had a better performance than that of stepwise operation for feature waveband images selection. The 1st derivative data gave a better result than that of mean reflectance spectra data. The best classified result was 87.5% correction. The error frequency showed that RSE samples were easier to classify. The PFN and PSE samples were difficult to separate from each other.

scholarly journals Formulation and Sensory Analysis of Cocktails Based on Ginger Oleoresin (Zingiber officinale Roscoe), Pineapple Juice (Ananas comosus L. MERR) and Bissap Concentrate (Hibiscus sabdariffa)

2021 ◽  
pp. 36-47
Author(s):  
Adama Coulibaly ◽  
Pierre Ezoua ◽  
Ysidor N’guessan Konan ◽  
Souleymane Doukoure ◽  
Daouda Sidibe ◽  
...  
Keyword(s):  
Descriptive Analysis ◽  
Principal Component ◽  
Zingiber Officinale ◽  
Agricultural Products ◽  
Ananas Comosus ◽  
Hibiscus Sabdariffa ◽  
Pineapple Juice ◽  
Natural Substances ◽  
Zingiber Officinale Roscoe ◽  
Central Plan

Aims: The aim of this study is to formulate cocktails based on ginger oleoresin, pineapple juice and bissap concentrate in order to contribute to the development of these agricultural products and improve the income of producers. Study Design: The biological material consists of pineapple juice, ginger oleoresin and bissap concentrate. The oleoresin and the bissap concentrate were supplied respectively by Gazignaire (France) and the Water Chemistry and Natural Substances Laboratory. Place and Duration of Study: The cocktails were formulated and then subjected to sensory analyzes, from July to October 2018, at the Biochemistry and Food Sciences laboratory at Félix Houphouët-Boigny University. Methodology: The cocktails were formulated through a composite central plan having as variables the proportions of the pineapple juice, the bissap concentrate and the ethanol composing the cocktail. Thus 15 cocktail formulations were developed, the sensory characteristics of which were estimated. Results: Hedonic analysis of the formulations indicates acceptance of 12 of them by more than 50% of tasters.In addition, 5 formulations F4; F6; F12; F13 and F15 are preferred in proportions varying between 62% and 77%.The descriptive analysis of these 5 formulations indicates that only the pineapple flavor makes it possible to distinguish them and the F13 formulation is less provided with them.However, these formulations according to their flavor, aroma and texture are classified into 3 groups according to a principal component analysis.Which could offer consumers more choice. Conclusion: Commercial production of these cocktails could improve the availability of ginger, bissap and pineapple year-round and help improve the income of producers.

scholarly journals Evaluation of Sweet Pepper (Capsicum annum L.) Varieties as Influnced by Nitrogen Levels in Chitwan, Nepal

2020 ◽  
Vol 14 (1) ◽  
pp. 33-42
Author(s):  
Santosh Lohani ◽  
Moha Dutta Sharma ◽  
Shree Chandra Shah ◽  
Arjun Kumar Shrestha
Keyword(s):  
Block Design ◽  
Total Yield ◽  
Growth Yield ◽  
Sweet Pepper ◽  
Fruit Weight ◽  
Chemical Fertilizer ◽  
Nitrogen Levels ◽  
Randomized Complete Block Design ◽  
Number Of Leaves ◽  
Better Than

An experiment was conducted to assess the performance of sweet pepper varieties as influenced by nitrogen levels from August 2014 to February 2015 at Mangalpur, Chitwan. The experiment was laid out in two factorial Randomized Complete Block Design (RCBD) with three replications having sixteen treatments. Varieties and levels of nitrogen significantly affected growth, yield and qualitative parameters of fruits. Hybrid Indra and NS 632 performed better than open pollinated varieties viz. Sagar and California Wonder. Days to fifty percent flowering of NS 632 were earlier than California Wonder. Indra variety had the highest plant height (52.18 cm), number of secondary branches per plant (13.51) from 250 kg N/ha through chemical fertilizer while number of leaves per plant was higher in NS 632 variety (57.22) than Sagar variety (47.37). Indra variety showed the highest fruit weight (87.59 g) and total yield (39.45 t/ha) but NS 632 variety produced more number of fruits per plant (9.25) than California Wonder variety. This study showed that sweet pepper yield of hybrid varieties applied with 250 kg N/ha through chemical fertilizer was appropriate dose to get optimum yield under Chitwan condition.

scholarly journals Flowering Time and Productivity of Interspecific Grafts Between Pepper Species in Contrasting High Tunnel-sheltered and Open-field Production Environments in Costa Rica

2021 ◽  
pp. 1-10
Author(s):  
Andrey Vega-Alfaro ◽  
Carlos Ramírez-Vargas ◽  
Germán Chávez ◽  
Fernando Lacayo ◽  
Paul C. Bethke ◽  
...  
Keyword(s):  
Open Field ◽  
Bacterial Wilt ◽  
Sweet Pepper ◽  
Fruit Weight ◽  
High Tunnel ◽  
Fruit Number ◽  
Tropical Environments ◽  
Field Environment ◽  
Virulent Strains ◽  
Habanero Pepper

The production of sweet peppers (Capsicum annuum) is often constrained in tropical environments by susceptibility to persistent soil-borne diseases, including bacterial wilt (Ralstonia solanacearum). However, the production of sweet peppers in high tunnels using sterile soilless media irrigated with nutrient solution offers the potential to reduce the incidence of bacterial wilt. An additional strategy for disease management is the use of sweet pepper scions grafted onto rootstocks that are resistant to soil-borne pathogens. Two sweet pepper cultivars grown extensively in the tropics, Nathalie and 4212, were used as scions and grafted onto the habanero pepper cultivar Habanero TEC (Capsicum chinense) and the aji pepper cultivar Baccatum TEC (Capsicum baccatum). Two cultivars related to the two rootstocks were prescreened for susceptibility to two virulent strains of bacterial wilt. Graft combinations were grown in two environments, a high tunnel with automatic nutrient solution irrigation of containers filled with sterile coconut fiber and an open field with known high levels of bacterial wilt inoculum. Self-grafted and nongrafted plants of scions were included as checks. The disease susceptibility screening showed that the area under the disease progress curve was consistently low for ‘Habanero TEC’ and ‘Baccatum TEC’ when inoculated with two virulent strains of bacterial wilt, suggesting that habanero pepper cultivars and, to a lesser degree, aji pepper cultivars may be useful as rootstocks in soils with bacterial wilt inoculum. Significant increases in yield, fruit number, and reduced time to flowering were observed in the high tunnel compared with the open-field environment. Individual fruit weight was reduced in the high tunnel compared with the field. Yield, fruit number, fruit weight, and time to flowering were consistent between scions regardless of rootstock. No differences were observed for yield, fruit number, fruit weight, or time to flowering of self-grafted and nongrafted scion checks. In the high tunnel, yield was higher in scions grafted onto ‘Habanero TEC’ compared with self-grafted and nongrafted checks. In the open field, yield and fruit number were highest on scions grafted onto ‘Habanero TEC’. Regardless of graft treatment, high-tunnel production in tropical environments can result in significant increases in yield and fruit number compared with open-field production. No advantage of grafted plants was observed in the high-tunnel production environment. In contrast, in the open-field environment, grafting sweet pepper scions onto pungent habanero rootstocks resulted in a significant increase in yield, fruit number, and fruit size compared with self-grafted and nongrafted checks. The increase was likely attributable to the resistance of habanero pepper cultivars to soil-borne diseases, including bacterial wilt.

scholarly journals Statistical Analysis for Evaluating Natural Yellow Coloring Agents from Peel of Local Fruits in Malang: Mangosteen, Honey Pineapple and Red Dragon Fruits

2019 ◽  
Vol 1 (2) ◽  
pp. 49 ◽  
Author(s):  
Yehezkiel Steven Kurniawan ◽  
Marcelinus Alfasisurya Setya Adhiwibawa ◽  
Edi Setiyono ◽  
Muhammad Riza Ghulam Fahmi ◽  
Hendrik Oktendy Lintang
Keyword(s):  
Statistical Analysis ◽  
Color Space ◽  
Principal Component ◽  
Ethanolic Extract ◽  
Test Results ◽  
Pca Analysis ◽  
Dragon Fruit ◽  
Yellow Pigments ◽  
Coloring Agents ◽  
Acetone Extracts

In the present work, a comprehensive statistical analysis was performed to evaluate the potential application of peel of local fruits from Malang, i.e. mangosteen, honey pineapple and red dragon fruits for natural yellow coloring agents. The yellow pigments from those fruit peels were extracted through a simple maceration method using distilled water, acetone and ethanol as the solvents. The CIE color space of the extracts was measured to obtain L*, a* and b* values. The obtained data were further analyzed using Principal Component Analysis (PCA), Multivariate Analysis of Variance (MANOVA) and Duncan Test to determine the most potent natural yellow coloring agent. All the extracts were appeared as mild to strong yellow liquid except for acetone extract for the peel of red dragon fruit extracts. From the CIE color space and PCA analysis, either ethanolic or acetone extracts of mangosteen appears as a strong yellow liquid and they are statistically not different. Interestingly, the MANOVA and Duncan test results are able to distinguish that the ethanolic extract of mangosteens’ peel as the best candidate for natural yellow coloring agents because of its lowest L* and also highest b* variable values.

scholarly journals Influence of vineyard peach selections on vigour and initial yield in peach and nectarine

Genetika ◽  
2013 ◽  
Vol 45 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Gordan Zec ◽  
Milica Fotiric-Aksic ◽  
Slavica Colic ◽  
Todor Vulic ◽  
Dragan Nikolic ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Analysis Of Variance ◽  
Geographic Origin ◽  
Principal Component ◽  
Fruit Trees ◽  
Fruit Production ◽  
Fruit Weight ◽  
Open Pollination ◽  
Fruit Productivity ◽  
F1 Generation

Seedlings (progenies) of eight selected vineyard peach genotypes obtained by self and open pollination were examined in this study during three consecutive years. Two progenies from unselected vineyard peach genotypes with different geographic origin were used as a standard. Peach cv. Autumn Glo and nectarine cv. Stark Red Gold were grafted on F1 generation of eight vineyard peach selections and two standard progenies. Analysis of variance indicated statistically significant differences in vigour and fruit productivity between fruit trees grafted on different progenies of vineyard peach selections. A high correlation was found between rootstock vigour and fruit production of grafted cultivars. In addition, the principal component analysis made it possible to establish similar groups of rootstocks, depending on its influence to vigour, productivity and indexes of efficiency of grafted peach and nectarine cultivar. The most promising rootstocks for those two cultivars were PSK and 7S because grafted AG and SRG have high fruit weight, initial yields and very satisfactory rootstock, scion and canopy efficiency.

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