scholarly journals Path analysis for selection of feijoa with greater pulp weight

2017 ◽  
Vol 47 (6) ◽  
Author(s):  
Joel Donazzolo ◽  
Vanessa Padilha Salla ◽  
Simone Aparecida Zolet Sasso ◽  
Moeses Andrigo Danner ◽  
Idemir Citadin ◽  
...  
Keyword(s):  
Path Analysis ◽  
Indirect Selection ◽  
Total Weight ◽  
Direct And Indirect Effects ◽  
Rio Grande Do Sul ◽  
Basic Variable ◽  
Explanatory Variables ◽  
Acca Sellowiana ◽  
Number Of Seeds ◽  
Selection Of

ABSTRACT: The objective of this paper was to identify the direct and indirect effects of feijoa fruits (Acca sellowiana) traitson pulp weight, in order to use these traits in indirect genotypes selection. Fruits of five feijoa plants were collected in Rio Grande do Sul, in the years of 2009, 2010 and 2011. Six traits were evaluated: diameter, length, total weight, pulp weight, peel thickness and number of seeds per fruit. In the path analysis, with or without ridge regression, pulp weight was considered as the basic variable, and the other traits were considered as explanatory variables. Total weight and fruit diameter had high direct effect, and are the main traits associated with pulp weight. These traits may serve as criteria for indirect selection to increase feijoa pulp weight, since they are easy to be measured.

scholarly journals Path analysis under multicollinearity for papaya production of the solo and Formosa groups

2018 ◽  
Vol 40 (3) ◽  
Author(s):  
Sarah Ola Moreira ◽  
Karin Tesch Kuhlcamp ◽  
Fabíola Lacerda de Souza Barros ◽  
Sabrina Batista de Oliveira ◽  
Roberto dos Santos Trindade
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Fruit Production ◽  
Indirect Selection ◽  
Heterotic Group ◽  
Coefficient Of Determination ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Basic Variable ◽  
Selection Strategies

Abstract Correlations and path analysis allow the understanding of the interrelations between characteristics of interest to the plant breeding. However, in order for their results to be reliable, the undesirable effect of multicollinearity must be excluded. The objective of this study was to estimate the correlations and their partitioning in direct and indirect effects, by path analysis, on the fruit production per plant (FP) of papaya from the heterotic Solo and Formosa groups, using two different strategies to circumvent multicollinearity. Eleven agronomic variables were evaluated in twelve papaya genotypes from the Solo group and nine from the Formosa group. Path analysis was obtained with the FP as the basic variable and to eliminate multicollinearity were used the discard of variables and the ridge path analysis. For the Solo group, fruit length and pulp thickness had greater direct effects on FP. In the Formosa group, the number of commercial fruits had a direct and indirect effect on FP. The two methodologies used to circumvent multicollinearity had high coefficient of determination, with better values for the ridge path analysis. The results indicated that the interrelation between the study characters was different in the Solo and Formosa groups. Thus, indirect selection strategies should be specific for each heterotic group.

scholarly journals ASSOCIATIONS BETWEEN TRAITS IN FISÁLIS: A TOOL FOR INDIRECT SELECTION OF SUPERIOR PLANTS

2017 ◽  
Vol 39 (4) ◽  
Author(s):  
NICOLE TREVISANI ◽  
RITA CAROLINA DE MELO ◽  
MAURO PORTO COLLI ◽  
JEFFERSON LUÍS MEIRELLES COIMBRA ◽  
ALTAMIR FREDERICO GUIDOLIN
Keyword(s):  
Path Analysis ◽  
Pearson Correlation ◽  
Block Design ◽  
Correlation Coefficients ◽  
Indirect Selection ◽  
Fruit Weight ◽  
Physalis Peruviana ◽  
Randomized Block Design ◽  
Number Of Seeds ◽  
Fruit Diameter

ABSTRACT Knowledge about associations between traits is fundamental for plant breeding, since indirect selection can accelerate the development of promising genotypes. This study assessed the magnitude of associations between agronomically important traits in fisális (Physalis peruviana L). The experiment was conducted in Lages, Santa Catarina, and the treatments consisted of six fisális populations. The experiment was arranged in a randomized block design, with two replications and seven plants per plot. The correlations between traits were estimated based on the Pearson correlation coefficients and partitioned into direct and indirect effects through path analysis. Fruit weight was positively correlated with number of seeds (0.874), equatorial fruit diameter (0.738) and polar fruit diameter (0.672). By path analysis, number of seeds was identified as the trait with the highest direct contribution to fruit weight. The high phenotypic correlations between the equatorial and polar fruit diameters with fruit weight were mainly due to the indirect effect via number of seeds (0.505 and 0.459). The selection for heavier fisális fruits was strongly influenced by number of seeds, i.e., this trait should be taken into account for selection.

scholarly journals Correlations and path analysis of yield components in cowpea

2014 ◽  
Vol 14 (2) ◽  
pp. 82-87 ◽  
Author(s):  
Adriano dos Santos ◽  
Gessí Ceccon ◽  
Livia Maria Chamma Davide ◽  
Agenor Martinho Correa ◽  
Valdecir Batista Alves
Keyword(s):  
Experimental Design ◽  
Grain Yield ◽  
Vigna Unguiculata ◽  
Indirect Effects ◽  
Yield Components ◽  
Indirect Selection ◽  
Direct And Indirect Effects ◽  
Genotypic And Phenotypic Correlations ◽  
Selection Of ◽  
Multiple Character

Obtaining correlations and direct and indirect effects of yield components is important for the selection of promising parental and segregating populations. The objective of this research was to estimate the genotypic and phenotypic correlations, and to analyze the direct and indirect effects of yield components on grain yield in 20 cowpea (Vigna unguiculata) genotypes. The experimental design was in randomized blocks with 20 treatments and 4 replications. The character showed low to moderate possibility of gain from indirect selection, with greater possibility for success when joining multiple character and a genotype of better performance.

scholarly journals Examining Injury Severity of Pedestrians in Vehicle–Pedestrian Crashes at Mid-Blocks Using Path Analysis

2020 ◽  
Vol 17 (17) ◽  
pp. 6170 ◽  
Author(s):  
Haorong Peng ◽  
Xiaoxiang Ma ◽  
Feng Chen
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Injury Severity ◽  
Road Traffic ◽  
Environmental Benefits ◽  
Direct And Indirect Effects ◽  
Contributing Factors ◽  
Explanatory Variables ◽  
Pedestrian Injury ◽  
Pedestrian Crashes

Walking is a sustainable mode of transport which has well established health and environmental benefits. Unfortunately, hundreds of thousands of pedestrians lose their lives each year over the world due to involvement in road traffic crashes, and mid-blocks witness a significant portion of pedestrian fatalities. This study examined the direct and indirect effects of various contributing factors on the pedestrian injury severity in vehicle–pedestrian crashes at mid-blocks. Data of vehicle–pedestrian crashes during 2002–2009 were extracted from the NASS-GES, with pre-crash behaviors and injury severity included. The SEM path analysis method was applied to uncover the inter-relationships between the pedestrian injury severity and various explanatory variables. Both the direct and indirect effects of these explanatory variables on the pedestrian injury severity were calculated based on the marginal effects in the multinomial and ordered logit models. The results indicate some variables including number of road lanes and the age of pedestrian have indirect impacts on the injury severity through influencing the pre-crash behaviors. Although most indirect effects are relatively small compared with the direct effects, the results in this study still provide some valuable information to improve the overall understanding of pedestrian injury severity at mid-blocks.

scholarly journals Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yield

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
L.A. Silva ◽  
L.A. Peixoto ◽  
P.E. Teodoro ◽  
E.V. Rodrigues ◽  
B.G. Laviola ◽  
...  
Keyword(s):  
Path Analysis ◽  
Indirect Selection ◽  
Oil Yield ◽  
Canonical Correlations ◽  
Selection Of

scholarly journals Supporting Physiological Trait for Indirect Selection for Grain Yield in Drought-Stressed Popcorn

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1510
Author(s):  
Samuel Henrique Kamphorst ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Antônio Teixeira do Amaral Júnior ◽  
Valter Jário de Lima ◽  
Kátia Fabiane Medeiros Schmitt ◽  
...  
Keyword(s):  
Grain Yield ◽  
Multiple Regression ◽  
Morphological Traits ◽  
Vegetation Index ◽  
Agronomic Traits ◽  
Indirect Selection ◽  
Leaf Angle ◽  
Water Restriction ◽  
Leaf Greenness ◽  
Selection Of

The identification of traits associated with drought tolerance in popcorn is a contribution to support selection of superior plants under soil water deficit. The objective of this study was to choose morphological traits and the leaf greenness index, measured on different dates, to estimate grain yield (GY) and popping expansion (PE), evaluated in a set of 20 popcorn lines with different genealogies, estimated by multiple regression models. The variables were divided into three groups: morpho-agronomic traits—100-grain weight (GW), prolificacy (PR), tassel length (TL), number of tassel branches, anthesis-silking interval, leaf angle (FA) and leaf rolling (FB); variables related to the intensity of leaf greenness during the grain-filling period, at the leaf level, measured by a portable chlorophyll meter (SPAD) and at the canopy level, calculated as the normalized difference vegetation index (NDVI). The inbred lines were cultivated under two water conditions: well-watered (WW), maintained at field capacity, and water stress (WS), for which irrigation was stopped before male flowering. The traits GY (55%) and PE (28%) were most affected by water restriction. Among the morpho-agronomic traits, GW and PR were markedly reduced (>10%). Under dry conditions, the FA in relation to the plant stalk tended to be wider, the FB curvature greater and leaf senescence accelerated (>15% at 22 days after male flowering). The use of multiple regression for the selection of predictive traits proved to be a useful tool for the identification of groups of adequate traits to efficiently predict the economically most important features of popcorn (GY and PE). The SPAD index measured 17 days after male flowering proved useful to select indirectly for GY, while, among the morphological traits, TL stood out for the same purpose. Of all traits, PR was most strongly related with PE under WS, indicating its use in breeding programs. The exploitation of these traits by indirect selection is expected to induce increments in GY and PE.

Causal Analysis of Hydrogen Acceptance

2005 ◽  
Vol 1941 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Eric Molin
Keyword(s):  
Structural Equation Model ◽  
Indirect Effects ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Causal Analysis ◽  
Equation Model ◽  
Factual Knowledge ◽  
Direct And Indirect Effects ◽  
Explanatory Variables ◽  
Willingness To Use

This paper presents and discusses a structural equation model on hydrogen acceptance. This model unravels the direct and indirect effects among personal characteristics, knowledge about hydrogen, perceptions, attitudes, and willingness to use hydrogen applications. In addition, indicators of differently colored information that can be provided by mass media have been included as explanatory variables. The estimated model indicates that colored information directly influences perceptions of hydrogen and indirectly influences attitudes about hydrogen and willingness to use it. In particular, negatively colored information decreases hydrogen acceptance, which cannot be counterbalanced by providing positively colored information. Furthermore, the model suggests that more factual knowledge about hydrogen increases its acceptance. The paper further discusses the likely development of hydrogen acceptance in the future and how practitioners can influence this.

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

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