scholarly journals Genotypic variability, heritability and path analysis of yield components of determinate lablab (Lablab purpureus (L.) Sweet) inbred lines in Kenya

2021 ◽  
Vol 15 (10) ◽  
pp. 266-276
Author(s):  
M. Kamau Eliezah ◽  
G. Kinyua Miriam ◽  
N. Waturu Charles ◽  
R. Karanja David
Keyword(s):  
Path Analysis ◽  
Yield Components ◽  
Inbred Lines ◽  
Genotypic Variability ◽  
Lablab Purpureus

scholarly journals Genetic diversity and path analysis for nitrogen use efficiency in popcorn inbred lines

Euphytica ◽  
2012 ◽  
Vol 191 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Gabriel Borges Mundim ◽  
José Marcelo Soriano Viana ◽  
Ciro Maia ◽  
Geísa Pinheiro Paes ◽  
Rodrigo Oliveira DeLima
Keyword(s):  
Genetic Diversity ◽  
Path Analysis ◽  
Nitrogen Use Efficiency ◽  
Inbred Lines ◽  
Nitrogen Use ◽  
Use Efficiency

scholarly journals Determination relevant breeding criteria by the path and factor analysis in maize

Genetika ◽  
2014 ◽  
Vol 46 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Milomir Filipovic ◽  
Milosav Babic ◽  
Nenad Delic ◽  
Goran Bekavac ◽  
Vojka Babic
Keyword(s):  
Factor Analysis ◽  
Grain Yield ◽  
Path Analysis ◽  
Yield Components ◽  
Genetic Material ◽  
Grain Moisture ◽  
Yield And Yield Components ◽  
Two Factors ◽  
Yield Factor ◽  
Statistic Approach

In the process of plant breeding the application of relevant breeding criteria is very important. The Path analysis is broadly applied with the aim to define yield components that mostly determine the yield and that can be used as quality breeding criteria. However, the significance of revealed relationships between yield and yield components can be affected by various factors, such as diverse genetic material that is observed, traits included into analysis, environments in which the material is observed, as well as, the applied statistic approach to determine the nature of the relationships itself. The interrelationships of yield and yield components of 15 commercial maize hybrids were observed using the Path and factor analyses. According to results of Path analysis, plant height, ear diameter and grain moisture had highly significant genetic and phenotypic direct effects on grain yield. At the same time, factor analysis points out significant effects of two factors on grain yield. Factor 1 was mostly determined by ear length and number of kernels per row, while grain moisture content, ear and cob diameter mostly determined Factor 2.

scholarly journals GENETIC VARIATION AND PATH ANALYSIS ON AGRONOMIC TRAITS OF RECOMBINANT INBRED LINES IN RICE (Oryza sativa L.).

2018 ◽  
Vol 6 (3) ◽  
pp. 280-291
Author(s):  
Myint Aye ◽  
◽  
NyoMar Htwe ◽  
KhinMu Aye ◽  
MoeMoeKyi Win ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Oryza Sativa ◽  
Path Analysis ◽  
Recombinant Inbred ◽  
Agronomic Traits ◽  
Oryza Sativa L ◽  
Recombinant Inbred Lines ◽  
Inbred Lines

Path Analysis of Red Rice (Oryza sativaL.) Competition by Cultivated Rice

Weed Science ◽  
1992 ◽  
Vol 40 (2) ◽  
pp. 313-319 ◽  
Author(s):  
D. J. Pantone ◽  
J. B. Baker ◽  
P. W. Jordan
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Yield Components ◽  
Field Experiments ◽  
Weight Percent ◽  
Grain Weight ◽  
Research Station ◽  
Direct Effects ◽  
Red Rice ◽  
Cultivated Rice

During 1985 to 1989, a series of field experiments were conducted at the Rice Research Station in Crowley, LA. Path analysis was employed to evaluate the competitive interaction between a weed (red rice) and cultivated rice (Mars). The path analysis quantified direct effects of red rice and Mars rice densities on the yield components (grain weight, percent filled florets, number of florets panicle−1, and panicles plant−1) of red rice and Mars rice. The model illustrated the direct and indirect effects of the yield components on fecundity and grain yield plant−1. The direct effects of Mars and red rice densities on panicles plant−1and florets panicle−1were always negative. In contrast, the effects of density on percent filled florets and grain weight varied from positive to negative and were relatively small, implying that they were determined primarily by density-independent factors. Path analysis indicated that the number of panicles plant−1and florets panicle−1were the most important yield components determining the responses of fecundity and grain yield to competition.

CORRELATION AND PATH ANALYSIS OF YIELD COMPONENTS IN CARDAMOM (ELETTARIA CARDAMOMUM, MATON)

1993 ◽  
pp. 227-234 ◽  
Author(s):  
R. Sritharan ◽  
D.H. Liyanarachchige ◽  
H.A.S. Perera ◽  
P.J. Wickramasinghe ◽  
K. Seneviratne
Keyword(s):  
Path Analysis ◽  
Yield Components ◽  
Elettaria Cardamomum ◽  
Correlation And Path Analysis

Correlation and Path analysis for yield components in Dura oil palm germplasm

2018 ◽  
Vol 112 ◽  
pp. 724-733 ◽  
Author(s):  
Sara de Almeida Rios ◽  
Raimundo Nonato Vieira da Cunha ◽  
Ricardo Lopes ◽  
Edson Barcelos ◽  
Raimundo Nonato Carvalho da Rocha ◽  
...  
Keyword(s):  
Path Analysis ◽  
Oil Palm ◽  
Yield Components ◽  
Correlation And Path Analysis
Sign in / Sign up

Export Citation Format

Share Document