Evaluation of Sunflower (Helianthus annuus L.) Hybrids Using Multivariate Statistical Analysis

Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 175-187
Author(s):  
Natalija Markova Ruzdik ◽  
Ilija Karov ◽  
Sasa Mitrev ◽  
Biljana Gjorgjieva ◽  
Biljana Kovacevik ◽  
...  
Keyword(s):  
Seed Yield ◽  
Environmental Conditions ◽  
Agronomic Traits ◽  
Block Design ◽  
Principal Component ◽  
Original Data ◽  
Research Field ◽  
Multivariate Statistical ◽  
Main Components

AbstractEvaluation and characterization of sunflower hybrids using morphological, physiological and biochemical data are necessary and essential in sunflower breeding programs. The aim of this paper was to evaluate the productive possibilities of some sunflower hybrids grown in Macedonian environmental conditions. The experiment was carried out during the period 2013 and 2014 on the research field of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. Total 20 sunflower hybrids were used as an experimental material. The trial was arranged as randomized complete block design (RCBD) with three replications. The average content of oil and oleic acid were 45.6 and 65.2%, respectively. The highest seed yield from all sunflower hybrids was obtained for the hybrid NLK12M144 (3,344 kg ha–1) and the lowest for hybrid NLK12S126 (2,244 kg ha–1). Cluster analysis classified the sunflower hybrids into four groups based on agronomic traits and seed yield. Most of the hybrids were included in cluster I and III (7 hybrids) followed by cluster IV. Using principal component analysis two main components have been extracted, with eigenvalue greater than one. They account for 72.99% of the variability in the original data. Only four hybrids had positive values for both main components (NLK12M144, NLK12S070, NLK12S125 and NLN12N011 DMR). The results from this study can be used to identify the best sunflower hybrids grown under Macedonian environmental conditions and to select the superior hybrids for future exploitation.

Multivariate analysis in some genotypes of mungbean [Vigna radiata (L.) Wilczek] on the basis of agronomic traits of two consecutive growing cycles

2016 ◽  
Author(s):  
Moushree Sarkar ◽  
Sabyasachi Kundagrami
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Morphological Traits ◽  
Agronomic Traits ◽  
Principal Component ◽  
Mean Value ◽  
Multivariate Statistical ◽  
Plant Seed ◽  
Wide Range

An experiment to evaluate eleven agro morphological traits in twenty three genotypes of mungbean [Vigna radiata (L.) Wilczek] in the field experiment was conducted in two consecutive years 2013 and 2014. Data were recorded on quantitative as well as visually assayed agro morphological traits including days to 50 per cent flowering, days to 1st picking of pods, days to final picking, plant height (cm), number of secondary branches per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100 seed weight (g), seed yield/plant (g) and harvest index (%). All the traits were analysed using multivariate statistical analysis. Most of the important evaluated traits showed a wide range of variation. Cluster analysis using UPGMA method grouped the genotypes into five clusters. The component of mungbean genotypes among different clusters was varied from two to nine genotypes. The maximum number of genotypes i.e., 9 is found in cluster III followed by cluster IV comprising of 6 genotypes. Cluster V showed the maximum mean value for plant height, branch/plant, pods/plant, seed/pod, seed yield/plant and lowest values for days to 50% maturity, 1st picking and days to maturity. Principal component analysis revealed that the first five main PCAs amounted 71.11% of the total variation among genotypes. PC1 accounts for maximum variability in the data with respect to succeeding components.

scholarly journals STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1

2019 ◽  
Vol 32 (1) ◽  
pp. 200-210
Author(s):  
Antônio Italcy de Oliveira Júnior ◽  
Luiz Alberto Ribeiro Mendonça ◽  
Sávio de Brito Fontenele ◽  
Adriana Oliveira Araújo ◽  
Maria Gorethe de Sousa Lima Brito
Keyword(s):  
Organic Matter Content ◽  
Principal Component ◽  
Matter Content ◽  
Multivariate Statistical ◽  
Statistical Tool ◽  
Environmental Characterization ◽  
Hierarchical Grouping ◽  
Two Factors ◽  
Total Data

ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.

scholarly journals Genetic characterization of the 28 maize landraces in Paraná State

2017 ◽  
Vol 38 (4) ◽  
pp. 1715 ◽  
Author(s):  
Sara Regina Silvestrin Rovaris ◽  
Pedro Mário de Araújo ◽  
Deoclécio Domingos Garbuglio ◽  
Cleber Vinicius Guiaretta de Azevedo ◽  
Cássio Egídio Cavenaghi Prete
Keyword(s):  
Recurrent Selection ◽  
Agronomic Traits ◽  
Block Design ◽  
Breeding Programs ◽  
Randomized Block Design ◽  
Fixed Model ◽  
Maize Landraces ◽  
Ear Height ◽  
Female Flowering

The characterization of maize landraces is extremely important in breeding programs for use of these genotypes as sources of genetic variability. The objective of this study was to quantitatively characterize 28 populations of maize landraces from the state of Paraná using the estimates of the effects of varieties and heterosis parents and the general combining ability, thereby assessing the main agronomic traits. In the crop of 2008/09, 56 inter-varietal hybrids, obtained through a topcross, 28 populations of maize landraces and three check varieties were evaluated for female flowering (FF), plant height (PH), ear height (EH) and grain mass (GY). The treatments were evaluated in a randomized block design, with two replications, at three Paraná State locations: the Experimental Center of the Agronomic Institute of Paraná in Londrina (IAPAR) and the experimental units of Pato Branco and Ponta Grossa. The data were submitted to an analysis of variance, considering a fixed model for genotypes and a random model for environments; the averages grouped by the Scott-Knott test, along with intersections of topcrosses, were analyzed according to a readapted model proposed by Oliveira et al. (1997). According to estimates of the parental effects, the GI 133 population showed the most promising estimates for all characteristics. The GI 088 and GI 173 populations stood out with promising estimates of the effects of heterosis. The conclusion is that the populations GI 133 and GI 173 may be indicated for recurrent selection programs or participation in obtaining composites.

scholarly journals Assessment of wild tomato accessions for fruit yield, physicochemical and nutritional properties under a rain forest agro-ecology

2020 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Dorcas Ibitoye ◽  
Adesike Kolawole ◽  
Roseline Feyisola
Keyword(s):  
Rain Forest ◽  
Agronomic Traits ◽  
Block Design ◽  
Principal Component ◽  
Fruit Yield ◽  
Soluble Solids ◽  
Forest Zone ◽  
Breeding Lines ◽  
Wild Tomato ◽  
Solanum Lycopersicum L

Tomato (Solanum lycopersicum L.) is a broadly consumed fruit vegetable globally. It is one of the research mandate vegetable of the National Horticultural Research Institute (NIHORT), Ibadan, Nigeria. The institute’s contains diverse collections of tomato accessions and wild relatives, without utilization information for the African continent. With the decline in diversity and potential of cultivars, a robust tomato breeding pipeline with broad genetic base that eliminates redundancy in the development of lines with desired horticultural traits is paramount. This study evaluated the mean performance and variations of thirteen wild tomato accessions obtained from the C.M. Rick Tomato Genetic Resource Center, University of California, Davis, USA, evaluated for agronomic, nutritional and physicochemical traits under a rain forest zone in Nigeria. The accessions were planted and grown in three replications with randomized complete block design. Agronomic traits, physicochemical and nutritional parameters were measured and analyzed. There was significant (P < 0.001) variation among accessions for all traits measured. Accession LA0130 was separated from others by cluster analysis and was outstanding for its unique attributes which include: fruit yield parameters, total soluble solids, acidity and content. The principal component analysis suggests fruit yield related traits, acidity and contributed most to the variation among the 13 accessions. The results obtained can be used to breed materials adapted to a rain forest . These wild tomato accessions have genes with desirable agronomic, nutritional and physicochemical traits that could be into breeding lines to improve commercial tomato varieties.

scholarly journals Classification of Wines from Five Spanish Origin Denominations by Aromatic Compound Analysis

2010 ◽  
Vol 93 (6) ◽  
pp. 1916-1922 ◽  
Author(s):  
Cecilia Sáenz ◽  
Trinidad Cedráenzn ◽  
Susana Cabredo
Keyword(s):  
Discriminant Analysis ◽  
Solid Phase ◽  
Principal Component ◽  
Decanoic Acid ◽  
Multivariate Statistical ◽  
Ethyl Hexanoate ◽  
La Mancha ◽  
Diethyl Succinate ◽  
Ethyl Octanoate

Abstract Wine is a complex matrix in which aroma compounds play an important role in the characterization of the flavor pattern of a given wine. Twelve volatile compounds were determined in 244 samples of Spanish red wines from different denominations of origin: Rioja, Navarra, Valdepeas, La Mancha, and Cariena. The samples were analyzed by GC using headspace solid-phase microextraction. The concentration (mg/mL) intervals obtained were 3-methyl-butyl acetate (3.9 to 116), 3-methyl-1-butanol (93 to 724), ethyl hexanoate (0.8 to 39), 1-hexanol (0.3 to 6.7), ethyl octanoate (1.4 to 41), diethyl succinate (0.2 to 13), 2-phenyl ethyl acetate (0 to 5.3), hexanoic acid (0 to 8.3), geraniol (0 to 3.0), 2-phenylethanol (1.5 to 56), octanoic acid (0 to 20), and decanoic acid (0 to 3.3). Wines were classified by multivariate statistical methods: principal component analysis, and lineal discriminant analysis. A correct differentiation among wines according to their origin was obtained by lineal discriminant analysis.

Progress in development of spotted medics (Medicago arabica L. Huds.) for Mediterranean farming systems

2006 ◽  
Vol 57 (4) ◽  
pp. 447 ◽  
Author(s):  
Ramakrishnan M. Nair ◽  
Steve J. Hughes ◽  
David M. Peck ◽  
Graham Crocker ◽  
Simon Ellwood ◽  
...  
Keyword(s):  
Seed Yield ◽  
Dry Matter ◽  
Agronomic Traits ◽  
South Australia ◽  
Recessive Gene ◽  
Principal Component ◽  
Farming Systems ◽  
Segregation Ratio ◽  
Early Flowering ◽  
Days To Flowering

Spotted medics (Medicago arabica) have become naturalised in Australia, but the spiny nature of their pods has prevented commercial release of any cultivar. Fifty-eight accessions representing Medicago arabica in the Australian Medicago Genetic Resources Collection were grown as spaced plants at Turretfield, South Australia, and the variation for important agronomic traits was studied. There was large variation for traits including days to flowering, dry matter production, pod and seed yield, and pod spininess. Principal component and cluster analyses conducted for 13 traits revealed 5 clusters. One of the clusters identified comprised accessions originating from Greece and Cyprus, which were found to have high agronomic potential. The study has helped in identifying the relationship among traits, namely pod spininess, days to flowering, dry matter yield, and pod and seed yield, which would be useful to breeders for future breeding and selection programs. A sward trial at Moree, New South Wales, comprising a selected cohort of spotted medic accessions, enabled the identification of 2 early flowering and high dry matter yielding accessions; however, both exhibited spiny pods. These 2 accessions were crossed with a smooth-podded accession, and the F1 plants were confirmed using a microsatellite marker. Days to flowering showed a continuous pattern of variation in the F2, suggesting that the trait is quantitatively inherited, whereas segregation ratio revealed that a single recessive gene controlled the smooth pod trait. Early flowering, smooth-podded F2 plants were selected for cultivar development.

Genetic Assessment of Combining Ability for Seed-Yield and Its Related Traits in Soybean [Glycine max (L.) Merrill]

2020 ◽  
Author(s):  
Gbemisola Oluwayemisi Ige ◽  
Godfree Chigeza ◽  
Subhash Chander ◽  
Abebe Tesfaye Abush ◽  
David Kolawole Ojo ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Agronomic Traits ◽  
Block Design ◽  
Days To Flowering ◽  
Randomized Complete Block Design ◽  
Glycine Max L ◽  
Improvement Programme ◽  
Genetic Assessment ◽  
Made In

Crosses were made in line × tester mating design between a set of five IITA soybean released varieties and three plant introduced (PI) accessions obtained from World Vegetable Center, Taiwan. In order to produce sufficient seeds, F1 crosses were selfed, subsequently F2 populations along with their parents were planted in a randomized complete block design at two locations in Nigeria with three replications. Agronomic traits viz. days to flowering, days to poding, plant height, number of pods/plant and seed yield/plant were measured. Testers and lines showed significant differences for all the measured traits except days to flowering for testers. Considering the significance and magnitude of general combining ability (GCA) effect, line TGx 1988-5F was observed desirable for earliness, while line TGx 1989-19F was the best combiner for number of pods/plant and seed yield/plant. On the other hand, best tester for seed yield was PI 230970. Crosses TGx 1835-10E × PI 459025B and TGx 1987-62F × PI 459025B had significant and highest SCA effect for seed yield/plant. These two crosses appeared to be most promising for soybean yield improvement programme.

scholarly journals Nutrient management on the growth and yield of black cumin (Nigella sativa L.)

2018 ◽  
Vol 43 (2) ◽  
pp. 205-210
Author(s):  
MN Yousuf ◽  
AJMS Karim ◽  
ARM Solaiman ◽  
MS Islam ◽  
M Zakaria
Keyword(s):  
Seed Yield ◽  
Nutrient Management ◽  
Nigella Sativa ◽  
Block Design ◽  
Winter Season ◽  
Research Field ◽  
Growth And Yield ◽  
Black Cumin ◽  
Randomized Complete Block Design ◽  
Positive Effect

A field experiment was carried out at the research field of Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, during rabi (winter) season of 2016-17 to evaluate the effects of fertilizer treatments on black cumin (BARI Kalozira-1). The field belongs to Shallow red-brown terrace soil of Salna series under AEZ-28 (Madhupur Tract). The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that the application of nutrient elements had positive effect on plant height, branches per plant, capsule setting, umbels per plant, capsules per plant, capsule size, seeds per capsule, 1000-seed weight and seed yield of black cumin. The highest seed yield (1277 kg ha-1) was obtained from 75% RDCF + 25% cowdung-N treatment followed by 100% RDCF (N80P45K50S20Zn5B2 kg ha-1) and the lowest seed yield (420 kg ha-1) was recorded with 50% RDCF. Thus, the IPNS treatment 75% RDCF + 25% cowdung-N appeared to be the best suitable package for black cumin cultivation in this location.Bangladesh J. Agril. Res. 43(2): 205-210, June 2018

scholarly journals Physiological quality of soybean seeds stored after industrial treatments with different chemicals

2021 ◽  
Vol 10 (2) ◽  
pp. e6310212279
Author(s):  
Renata Cristiane Pereira ◽  
Lucas Caiubi Pereira ◽  
Alessandro Lucca Braccini ◽  
Larissa Vinis Correia ◽  
Murilo Fuentes Pelloso ◽  
...  
Keyword(s):  
Block Design ◽  
Accelerated Aging ◽  
Storage Period ◽  
Original Data ◽  
Soybean Seeds ◽  
Randomized Block Design ◽  
Seedling Length ◽  
Physiological Quality ◽  
Main Components

This study aimed to relate the smallest set of variables that compose the quality of soybean seeds lot under study, as well as to evaluate the influence of four industrial seed treatments and their respective slurry volumes on the physiological potential. The experiment was carried out in a completely randomized block design with 4 replicates and 24 treatments. The chemical treatments were: control (T1), micronutrient + polymer + drying powder (T2), bioregulator + polymer + drying powder (T3) and micronutrient + bioregulator + polymer + drying powder (T4). The seeds were stored for periods of 0, 15, 30, 45, 60 and 90 days and were subsequently evaluated for their physiological potential. In each storage period, the variable germination, first count, accelerated aging, emergence speed index, final emergence in the sand substrate, aerial part length, root length and total seedling length were evaluated. The main components of the standard germination test and first count were the ones that most contributed to explaining the variability of the original data. Increasing the volume of the slurry in the industrial seed treatment reduces the physiological quality of soybean seeds during storage.

scholarly journals Evaluation of Newly Developed Rice Lines in Lowland Ecology in Ghana

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Esther Fobi Donkor ◽  
Remember Roger Adjei ◽  
Sober Ernest Boadu
Keyword(s):  
Moisture Content ◽  
Analysis Of Variance ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Principal Component ◽  
Research Field ◽  
Rice Varieties ◽  
Statistical Tool ◽  
Cophenetic Correlation ◽  
Cophenetic Correlation Coefficient

Rice is one of the major staple foods consumed in all part of the world including Ghana. The study was conducted at the research field of CSIR in Sokwai to evaluate the performance of the newly released rice varieties in lowland ecology in Ghana. The data collected were subjected to analysis of variance using Statistical Tool for Agricultural Research Version 2.0.1. The analysis of variance revealed a highly significant variation among most of the agronomic traits studied except for the panicle length, moisture content, total weight of 5 hills, the percent moisture content and the lodging index. The first five principal component (PC) accounted for 71% of the total variation with PC1, PC2 and PC3 contributing 20%, 17% and 13% respectively. The cluster analysis placed the accessions into five main clusters. The cophenetic correlation coefficient (CCC) was 0.42.

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