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.

scholarly journals Precision management of pollination services to blueberry crops

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Cavigliasso ◽  
P. Negri ◽  
M. Viel ◽  
M. M. Graziani ◽  
C. Challiol ◽  
...  
Keyword(s):  
Key Management ◽  
Fruit Production ◽  
Fruit Weight ◽  
Strength Distribution ◽  
Pollination Services ◽  
Precision Management ◽  
Fruit Productivity ◽  
Account Due ◽  
Pollination Systems ◽  
Large Groups

AbstractWhile the cultivated area of pollinator-dependent crops is increasing, pollinator availability is decreasing, leading to problems in many agroecosystems. For this reason, pollinator-dependent crop growers often rent beehives to support their pollination requirements to sustain fruit productivity. However, the efficiency of those pollination systems has not been extensively studied. Here, we compared the effect of “precision” pollination (i.e., application of pesticides coordinated with growers, audit of hives, dietary supplementation and individual distribution of hives) with conventional practices (i.e., pesticides applications without coordination with growers and no audit of hives, low maintenance of hives and hives distributed in large groups) on the mean level of pollination and fruit production and quality in blueberry crops. In nine blueberry fields, we measured bee visitation rate to flowers, fruit set, fruit firmness and fruit weight. On average, precision-pollinated plots had 70% more bee visits to flowers and produced 13% more fruits that were 12% heavier and 12% firmer than those obtained through conventional practices. These results showed that pollination efficiency could be improved if key management related to bee strength, distribution and health care are taken into account. Due to these results, we encourage growers and beekeepers to include precision pollination practices to both increase the productivity of blueberry fields and the wellbeing of honey bees within agroecosystems.

scholarly journals Assessment of Physicochemical Properties of Tequila Brands: Authentication and Quality

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Alejandra Carreon-Alvarez ◽  
Amaury Suárez-Gómez ◽  
Florentina Zurita ◽  
Sergio Gómez-Salazar ◽  
J. Felix Armando Soltero ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Refractive Index ◽  
Physicochemical Properties ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Total Variability ◽  
And Cluster Analysis ◽  
Physicochemical Data

Several physicochemical properties were measured in commercial tequila brands: conductivity, density, pH, sound velocity, viscosity, and refractive index. Physicochemical data were analyzed by Principal Component Analysis (PCA), cluster analysis, and the one-way analysis of variance to identify the quality and authenticity of tequila brands. According to the Principal Component Analysis, the existence of 3 main components was identified, explaining the 87.76% of the total variability of physicochemical measurements. In general, all tequila brands appeared together in the plane of the first two principal components. In the cluster analysis, four groups showing similar characteristics were identified. In particular, one of the clusters contains some tequila brands that are not identified by the Regulatory Council of Tequila and do not meet the quality requirements established in the Mexican Official Standard 006. These tequila brands are characterized by having higher conductivity and density and lower viscosity and refractive index, determined by one-way analysis of variance. Therefore, these economical measurements, PCA, and cluster analysis can be used to determinate the authenticity of a tequila brand.

scholarly journals Morphoanatomical study of Matricaria L. (Asteraceae) in Turkey

2019 ◽  
Vol 43 (2) ◽  
pp. 151-159
Author(s):  
Huseyin Inceer ◽  
Murat Bal
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Univariate Analysis ◽  
Principal Component ◽  
New Information ◽  
Turkish Flora ◽  
Pericarp Thickness ◽  
Diagnostic Traits

In the Turkish flora, the genus Matricaria is present with four taxa, namely M. aurea, M. chamomilla var. chamomilla, M. chamomilla var. recutita and M. matricarioides. This study presents an evaluation of selected diagnostic characters and anatomical traits of the achene (cypsela) of Matricaria in Turkey using univariate analysis (one-way analysis of variance) and multivariate analysis (cluster analysis, principal component analysis) to obtain new information. Three groups are found within the genus Matricaria based on morphoanatomical characteristics. The colour of disc florets, that of ribs on the achenes, the presence or absence of a slime envelope and pericarp thickness are useful for delimitation of Matricaria taxa, and a key to taxa based on these characters together with other diagnostic traits is provided.

scholarly journals Productivity and Fruit Quality Influenced by Bioestimulant in Olive under Hot and Arid Environment of Mexico

2020 ◽  
pp. 1-7
Author(s):  
Raúl Leonel Grijalva- Contreras ◽  
Rubén Macías- Duarte ◽  
Arturo López- Carvajal ◽  
Fabián Robles- Contreras ◽  
Manuel de Jesús Valenzuela- Ruiz
Keyword(s):  
Irrigation System ◽  
Block Design ◽  
Olive Tree ◽  
Fruit Trees ◽  
Arid Environment ◽  
Fruit Production ◽  
Fruit Weight ◽  
First Year ◽  
Randomized Complete Block Design ◽  
Marketable Fruit

Actually modern fruit trees physiology is focused on the stimulation of plant cell development and fruit production using bioestimulant. This study evaluated the effect of bioestimulant ‘Engordone’ under two doses (0.5 and 1.0 L ha-1) and two times (pea-size fruit and 28 days later) in olive tree cv Manzanilla under hot and arid environment of Mexico. The experiment was carried out during 2018 and 2019 at National Research Institute for Forestry, Agriculture and Livestock (INIFAP) in the Experimental Station Coast of Hermosillo, Sonora, Mexico. The experiment was carried out on olive tree of eight years old, planted at distance of 10 x 5 m (200 trees ha-1) and under drip irrigation system. The experiment was analyzed using a randomized complete block design and four replications. The variables evaluated were olive yield, classification by size and fruit characteristics (fruit weight and pulp-pit ratio). The results showed that bioestimulant application had little effect on olive yield which increased the yield by 14.1 and 6.5% in 2018 and 2019, respectively compared to untreated trees, but without statistical difference. Fruit characteristic were no affected by treatments. Only the percentage of non-marketable fruit was statistically (P<0.05) reduced in the first year. Finally, new biostimulants and times of application are necessary to carried out to improve the size of table olives.

Discriminating between Cultivars and Treatments of Broccoli Using Mass Spectral Fingerprinting and Analysis of Variance−Principal Component Analysis

2008 ◽  
Vol 56 (21) ◽  
pp. 9819-9827 ◽  
Author(s):  
Devanand L. Luthria ◽  
Long-Ze Lin ◽  
Rebecca J. Robbins ◽  
John W. Finley ◽  
Gary S. Banuelos ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Mass Spectral
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