Yield Components as Indirect Selection Criteria for Late-Planted Soybean Cultivars

2003 ◽  
Vol 95 (2) ◽  
pp. 420 ◽  
Author(s):  
J. E. Board ◽  
M. S. Kang ◽  
M. L. Bodrero
Keyword(s):  
Yield Components ◽  
Selection Criteria ◽  
Indirect Selection ◽  
Soybean Cultivars

Yield Components as Indirect Selection Criteria for Late-Planted Soybean Cultivars

2003 ◽  
Vol 95 (2) ◽  
pp. 420-429 ◽  
Author(s):  
J. E. Board ◽  
M. S. Kang ◽  
M. L. Bodrero
Keyword(s):  
Yield Components ◽  
Selection Criteria ◽  
Indirect Selection ◽  
Soybean Cultivars

scholarly journals Analysis of Direct and Indirect Selection and Indices in Bread Wheat (Triticum aestivum L.) Segregating Progeny

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zine El Abidine Fellahi ◽  
Abderrahmane Hannachi ◽  
Hamenna Bouzerzour
Keyword(s):  
Bread Wheat ◽  
Yield Components ◽  
Selection Criteria ◽  
Flag Leaf ◽  
Selection Index ◽  
Triticum Aestivum L ◽  
Indirect Selection ◽  
Selection Methods ◽  
Simultaneous Selection ◽  
Selection Of

Three selection methods including direct and indirect selection along with selection index based on the phenotypic values of eleven traits of agronomic interest were assessed for their application in F4 bread wheat progenies. Significant genetic variation existed among parents and crosses for the traits measured. The following were the most efficient indices for simultaneous selection of superior lines for yield and its components: base index of Williams, followed by the sum of ranks index of Smith and Hazel. The selection-based index provided the highest grain yield gains as compared to the other selection criteria, except for flag leaf area, indicating that the direct and indirect monotrait selection were not appropriate in the situation analyzed in this work. PCA identified Ain Abid × Mahon-Demias, Ain Abid × Rmada, and Ain Abid × El-Wifak as the most promising populations. At 5% selection intensity, the top 30 lines selected were distinguished, in comparison with the standard check Hidhab, by significant improvements in yield and yield components.

Spectral Reflectance Indices as a Potential Indirect Selection Criteria for Wheat Yield under Irrigation

Crop Science ◽  
2006 ◽  
Vol 46 (2) ◽  
pp. 578-588 ◽  
Author(s):  
M. A. Babar ◽  
M. P. Reynolds ◽  
M. van Ginkel ◽  
A. R. Klatt ◽  
W. R. Raun ◽  
...  
Keyword(s):  
Spectral Reflectance ◽  
Selection Criteria ◽  
Wheat Yield ◽  
Indirect Selection ◽  
Reflectance Indices ◽  
Spectral Reflectance Indices

scholarly journals Multivariate analysis and determination of the best indirect selection criteria to genetic improvement the biological nitrogen fixation ability in common bean genotypes (Phaseolus vulgaris L.)

Genetika ◽  
2012 ◽  
Vol 44 (2) ◽  
pp. 279-284 ◽  
Author(s):  
Reza Golparvar
Keyword(s):  
Nitrogen Fixation ◽  
Common Bean ◽  
Biological Nitrogen Fixation ◽  
Genetic Improvement ◽  
Selection Criteria ◽  
Block Design ◽  
Indirect Selection ◽  
Shoot Number ◽  
Biological Yield ◽  
Biological Nitrogen

In order to determine the best indirect selection criteria for genetic improvement of biological nitrogen fixation, sixty four common bean genotypes were cultivated in two randomized complete block design. Genotypes were inoculated with bacteria Rhizobium legominosarum biovar Phaseoli isolate L-109 only in one of the experiments. The second experiment was considered as check for the first. Correlation analysis showed positive and highly significant correlation of majority of the traits with percent of nitrogen fixation. Step-wise regression designated that traits percent of total nitrogen of shoot, number of nodule per plant and biological yield accounted for 92.3 percent of variation exist in percent of nitrogen fixation. Path analysis indicated that these traits have direct and positive effect on percent of nitrogen fixation. Hence, these traits are promising indirect selection criteria for genetic improvement of nitrogen fixation capability in common bean genotypes especially in early generations.

scholarly journals Planting Density and Soybean (Glycine max L.) Cultivars Effects on Yield Components in the Amazon

2020 ◽  
Vol 8 (3) ◽  
pp. 63
Author(s):  
Priscila Pereira Sacramento ◽  
Letícia Cunha da Hungria ◽  
Jamil Chaar El-Husny ◽  
Luis De Souza Freitas
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Block Design ◽  
Planting Density ◽  
Maximum Height ◽  
Soybean Cultivars ◽  
Linear Behavior ◽  
Randomized Block Design ◽  
Glycine Max L

The aim of this study was to evaluate the influence of planting density and cultivar of soybean on yield components in the southeast Amazon. The experiment was carried out in an Oxisol, with a randomized block design in a 2 x 4 factorial scheme. The treatments were two soybean cultivars (BRS 9090 RR and BRS 8990 RR) and four planting densities (13, 15, 18 and 20 plants m-1), with three replications. First pod insertion height (IFP), plant height (H), number of pods per plant (NPP), grain yield (Y) and weight of 100 grains (W100) were evaluated. The insertion height of the first pod showed a tendency of increase with the increment of plants per linear meter for cultivar BRS 8990 RR, different of the behavior observed for the cultivar BRS 9090 RR, which only showed difference when the density of 300.000 plants ha-1 was tested. For plant height, among soybean cultivars, there was only difference in D400, with BRS 8990 RR showing a maximum height of 83.3 cm, 21% higher than BRS 9090 RR. When evaluated under D350, BRS 8990 RR showed an increase of 13% in the number of pods compared to BRS 9090 RR. Both cultivars showed linear behavior for the grain yield, increasing according the plant population, with the highest grain yield obtained under the density of 400.000 plants ha-1 (4527.3 kg ha-1). The weight of 100 grains was not influenced by any variation factor.

Moisture‐Stress Effects on the Yield Components of Two Soybean Cultivars 1

1979 ◽  
Vol 71 (1) ◽  
pp. 86-90 ◽  
Author(s):  
N. N. Momen ◽  
R. E. Carlson ◽  
R. H. Shaw ◽  
O. Arjmand
Keyword(s):  
Yield Components ◽  
Moisture Stress ◽  
Stress Effects ◽  
Soybean Cultivars

scholarly journals Correlation and Path Coefficient Studies in F2 Populations of Rice

2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Stepwise Regression ◽  
Path Coefficient ◽  
Direct Effects ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Yield Variation ◽  
Rice Genotypes

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.

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