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 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 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.

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.

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.

Genetic variation in an orchardgrass population promises successful direct or indirect selection of superior drought tolerant genotypes

2018 ◽  
Vol 137 (6) ◽  
pp. 928-935 ◽  
Author(s):  
Mozhgan Abtahi ◽  
Mohammad Mahdi Majidi ◽  
Behnam Hoseini ◽  
Aghafakhr Mirlohi ◽  
Bahram Araghi ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Indirect Selection ◽  
Drought Tolerant ◽  
Selection Of

scholarly journals Associations between morphological and agronomic characteristics in garlic crop

2019 ◽  
Vol 37 (2) ◽  
pp. 204-209
Author(s):  
Valter C de Andrade Júnior ◽  
Amanda G Guimarães ◽  
Tiago D Firme ◽  
Aline Aparecida A Costa ◽  
Márcia Regina da Costa ◽  
...  
Keyword(s):  
Path Analysis ◽  
Total Yield ◽  
Marketable Yield ◽  
Breeding Programs ◽  
Phenotypic Correlations ◽  
Genotypic And Phenotypic Correlations ◽  
Number Of Leaves ◽  
Commercial Yield ◽  
Selection Of ◽  
Bulb Yield

ABSTRACT Correlations and path analysis between characteristics can aid the selection of important attributes in breeding programs. Thus, the objective of this work was to perform genotypic, phenotypic correlations and path analysis under commercial yield of garlic bulbs, depending on morphological and agronomic variables. The experiment was carried out in 2017 at the Universidade Federal dos Vales do Jequitinhonha e Mucuri and Universidade Federal de Lavras, using ten garlic genotypes, eight trials and two commercial cultivars, Caçador and Jonas. We evaluated: plant height; number of leaves, total bulb number; total bulb mass, total bulb yield, marketable bulb yield and number of cloves per bulb. The genotypic and phenotypic correlations were positive and significant between marketable yield of bulbs with bulb mass, total yield and number of cloves per bulb, indicating that selection based on these characteristics will help increase the yield of garlic. However, only the number of cloves per bulb had a direct effect and a relevant indirect effect on the marketable yield of garlic.

scholarly journals Correlations and path analysis of morphological and yield traits of cactus pear accessions

2013 ◽  
Vol 13 (3) ◽  
pp. 203-207 ◽  
Author(s):  
Diogo Gonçalves Neder ◽  
Fabiane Rabelo da Costa ◽  
Ricardo Loiola Edvan ◽  
Lenildo Teixeira Souto Filho
Keyword(s):  
Path Analysis ◽  
Dry Matter ◽  
Selection Process ◽  
Morphological Characteristics ◽  
Indirect Selection ◽  
Strongly Correlated ◽  
Fresh Matter ◽  
Cactus Pear ◽  
Green Matter ◽  
Selection For

The objectives of this study were to evaluate the relationships between morphological characteristics and fresh matter yield of cactus pear and identify their direct and indirect effects. Nineteen accessions were evaluated for the following traits: number (NCl), thickness (ThCl), length (LCl) and width (WCl) of cladodes, plant height (PH) and plant width (PW), and green matter yield (GMY), dry matter yield (DMY) and dry matter percentage (DM). The correlations were estimated, and path analysis was performed by the method proposed by Wright. GMY was strongly correlated with DMY, allowing indirect selection for this trait. NCl and ThCl had a direct effect on GMY and can be used for indirect selection or as secondary traits in the selection process. Given the lack of significant correlations between MS and DMY, it is possible to select a palm variety with high DMY and DM.

scholarly journals Evaluation of sunflower cultivars for central Brazil

2008 ◽  
Vol 65 (2) ◽  
pp. 139-144 ◽  
Author(s):  
Willyam Stern Porto ◽  
Claudio Guilherme Portela de Carvalho ◽  
Ronald José Barth Pinto ◽  
Marcelo Fernandes de Oliveira ◽  
Ana Cláudia Barneche de Oliveira
Keyword(s):  
Experimental Data ◽  
Grain Yield ◽  
Oil Yield ◽  
Production Region ◽  
Central Brazil ◽  
Selection Of

Despite a large availability of areas suitable for sunflower cropping in Central Brazil, few adapted cultivars are available in the market. The objective of this work was to select sunflower cultivars adapted to this important production region. Experimental data from 2000 to 2004 were obtained by the National Sunflower Trials, coordinated by Embrapa Soja. The evaluated traits were grain and oil yields. Two criteria were used for selection of cultivars: i) the general mean obtained from different environments; ii) partitioning of general mean in favorable and unfavorable environments. Partitioning of the general mean allowed to detect the specific environment indicated for each cultivar. For grain yield, the cultivar Helio 251 presented general indication, Milênio and CF 17 could be indicated for favorable environments and ACA 884, ACA 885 and ACA 872 for the unfavorable ones. For oil yield, CF 13, Milênio, DK 4030, Helio 250 and ACA 872 had general indication; AG 966, GH 12, GV 26043, CF 17 and VDH 93 could be indicated for favorable environments, while VDH 488, Helio 251, ACA 884 and ACA 885 for the unfavorable conditions. In 2002, the partition of the general mean was not carried out. In this year, general mean of cultivars Exp 37, AG 962, GV 26048 and AG 967 were overweight the controls for grain yield and the cultivars AG 962, AG 967, GV 26048, AG 972, BRS 191, Guarani were overweight the controls for oil yield.

scholarly journals Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

2021 ◽  
Vol 45 ◽  
Author(s):  
Anna Regina Tiago Carneiro ◽  
Osvaldo Toshiyuki Hamawaki ◽  
Ana Paula Oliveira Nogueira ◽  
Arthur Felipe Eustáquio e Silva ◽  
Raphael Lemes Hamawaki ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Indirect Selection ◽  
Direct Selection ◽  
Selection Strategies ◽  
Aggregate Information ◽  
Genetic Potential ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
Total Gain ◽  
Selection Of

ABSTRACT The selection indexes aggregate information to multiple characters and, with this, they are able to carry out the selection of a set of variables simultaneously. The objective was to verify the genetic potential of agronomic traits and to select soybean F3:4 progenies based on different selection strategies. 123 progenies and the parents were sown in randomized blocks with two replications. The gains of direct selection by the indexes, the sum of “ranks” and the genotype-ideotype were lower for all characters when compared to the gains of direct and indirect selection. The rank sum index stood out for achieving the highest total gain with 37.11%. The index of the genotype-ideotype obtained a lower gain (-0.48%) for the character number of days for flowering compared to the sum index of “ranks” (-0.54%) and reached a negative gain for the attribute insertion height of the first pod with -1.82%. The genetic potential of the F3:4 population is high and allows different selection strategies to be applied to reach superior genotypes. The progenies UFU 72, UFU 116, UFU 86, UFU 45, UFU 117, UFU 56, UFU 5, UFU 106, UFU 6, UFU 4, UFU 73, UFU 101, UFU 96, UFU 90, UFU 123, UFU 116, UFU 88, UFU 65, UFU 70, UFU 3, UFU 69 and UFU 37 were selected by both selection indexes. The UFU 72, UFU 90, UFU 88 and UFU 69 progenies are agronomically superior both in direct and indirect selection, as in Mulamba and Mock (1978) sum of “ranks” selections and genotype-ideotype.

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