scholarly journals Genetic correlation and path analysis of common bean collected from Caceres Mato Grosso State, Brazil

2017 ◽  
Vol 47 (8) ◽  
Author(s):  
Danilo de Lima Gonçalves ◽  
Marco Antonio Aparecido Barelli ◽  
Taniele Carvalho de Oliveira ◽  
Paulo Ricardo Junges dos Santos ◽  
Claudete Rosa da Silva ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Common Bean ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Genetic Correlations ◽  
Favorable Effect ◽  
Direct And Indirect Effects ◽  
Mato Grosso ◽  
Correlation And Path Analysis

ABSTRACT: The aim of the study was to determine genetic correlations of agronomic traits and to evaluate direct and indirect effects, through path analysis, between variables analyzed with grain yield. Forty accessions of common bean, cultivated at Caceres County were evaluated, by using randomized complete blocks design with three repetitions. Coefficient magnitudes of genotypic correlations were superior to phenotypic and environmental ones for most correlations, suggesting greater influence of genetic factor than environmental factors. In order to determine the importance of direct and indirect effects, path analysis was performed, which provided greater reliability in interpretations of cause and effect between studied traits, indicating that grain yield may be explained by the effects of analyzed traits. Number of seeds per plant (0.801) and grain weight (0.641) showed higher favorable effect over grain yield, allowing its use in direct or indirect selection for grain yield in common bean.

scholarly journals Path analysis of iron and zinc contents and others traits in cowpea

2012 ◽  
Vol 12 (4) ◽  
pp. 245-252 ◽  
Author(s):  
Jeane de Oliveira Moura ◽  
Maurisrael de Moura Rocha ◽  
Regina Lúcia Ferreira Gomes ◽  
Francisco Rodrigues Freire Filho ◽  
Kaesel Jackson Damasceno e Silva ◽  
...  
Keyword(s):  
Grain Size ◽  
Grain Yield ◽  
Path Analysis ◽  
Protein Content ◽  
Indirect Effects ◽  
Zinc Content ◽  
Direct Selection ◽  
Direct And Indirect Effects ◽  
Iron And Zinc ◽  
Positive Direct

The objective of this study was to estimate the direct and indirect effects of agronomic and culinary traits on iron and zinc contents in 11 cowpea populations. Correlations between traits were estimated and decomposed into direct and indirect effects using path analysis. For the study populations, breeding for larger grain size, higher number of grains per pod, grain yield, reduced cooking time, and number of days to flowering can lead to decreases in the levels of iron and zinc in the grain. Genetic gains for the iron content can be obtained by direct selection for protein content by indirect effects on the number of grains per pod, 100-grain weight and grain yield. The positive direct effect of grain size and protein content on the zinc content indicates the possibility of simultaneous gain by combined selection of these traits.

scholarly journals Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

2019 ◽  
Vol 11 (4) ◽  
pp. 142
Author(s):  
Alexsander Rigatti ◽  
Daniela Meira ◽  
Tiago Olivoto ◽  
Carine Meier ◽  
Maicon Nardino ◽  
...  
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Block Design ◽  
Direct And Indirect Effects ◽  
Environmental Correlations ◽  
Randomized Block Design ◽  
Positive Direct ◽  
Lower Tolerance

This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest sprouting. Experiment was conducted in 2017 crop season, and conducted in a randomized block design, with three replications, with eight wheat cultivars (BRS Sábia, CD 105, CD 1104, CD 1440, Frontana, Jadeíte 11, Mirante and ORS Vintecinco). Grain yield and its components were evaluated, as well as other important traits such as pre-harvest sprouting. Data were submitted to variance analysis; and phenotypic, genotypic and environmental correlations were estimated to understand grain yield expression, direct and indirect effects of its components were evaluated through path analysis. Cultivar BRS Sabiá showed shorter cycle, cultivar CD 1104 was highlighted in number of spikes per area, hectoliter weight and grain yield. And cultivars Frontana, CD 1440 and ORS Vintecinco presented the best tolerances pre-harvest sprouting. Grain yield showed high and positive phenotypic and genotypic correlations with number of ears per square meter. Furthermore, high positive direct effect of pre-harvest sprouting on grain yield, revels lower tolerance for cultivars with high grain yield. Number of spikes per square meter showed intermediate and positive direct effect and pre-harvest sprouting had the greatest direct effect on grain yield.

scholarly journals Correlations and path analysis for fruit yield in pepper lines (Capsicum chinense L.)

2018 ◽  
Vol 8 (2) ◽  
pp. 247-255
Author(s):  
Renato Silva Soares ◽  
Hellismar Wakson da Silva ◽  
Willame Dos Santos Candido ◽  
Luís Sérgio Rodrigues Vale
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Selection Process ◽  
Selection Index ◽  
High Yield ◽  
Direct Selection ◽  
Direct And Indirect Effects ◽  
Environmental Correlations ◽  
Highly Correlated

Information regarding the correlation between characters are of great importance to simultaneous traits selection in breeding programs. However, quantification and interpretation of the correlations magnitude do not imply in direct and indirect effects. In this context, the path analysis is presented as an alternative and viable tool for the selection process. The objective of this study was to evaluate the phenotypic, genotypic and environmental correlations between eight major agronomic characters in pepper lines (C. chinense L.) and its consequences in direct and indirect effects by path analysis. Eight agronomic traits were assessed under field conditions in 22 C. chinense L lines. According to the results, there is a genetic variability among the evaluated lines, whose yield per plant (PY) and total number of fruits (NF) variables are highly correlated with high direct effect on pepper lines yield. The selection of pepper lines with high yield can be accomplished through direct selection or using a suitable selection index, being advantageous to select lines with other characteristics, such as appropriate scion height and diameter for conducting manual and mechanized harvesting. The use of the constant k is efficient to reduce the variance of path coefficients, providing better estimation of the effects that affects yield.

Correlation and Path Analysis Studies for Various Yield and Component Traits in the Segregating Generations of Blackgram [Vigna mungo (L). Hepper]

2021 ◽  
Author(s):  
Rhitisha Sood ◽  
R.K. Mittal ◽  
V.K. Sood ◽  
Shailja Sharma
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Block Design ◽  
Positive Association ◽  
Direct And Indirect Effects ◽  
Legume Crop ◽  
Component Traits ◽  
Biological Yield ◽  
Correlation And Path Analysis ◽  
Positive Direct

Background: Blackgram despite of being a highly nutritious and short duration legume crop, it is not cultivated on large scales due to many constraints. Considering this, the research was aimed to develop blackgram genotypes with wider adaptability, genetic variability and high yielding potential by studying nature and magnitude of association among yield and related traits for effective production. Methods: The present investigation was carried out at Experimental Farm of the Department of Genetics and Plant Breeding, College of Agriculture, CSK HPKV, Palampur (H.P.) to assess the character association and direct and indirect effects among yield and related traits in 14 crosses and ten parents for 11 quantitative characters during Kharif 2018 and 2019 in randomized complete block design with three replications. Result: Correlation studies highlighted that seed yield per plant had significant and positive association with pods per plant, biological yield per plant, pod length, plant height and 100 seed-weight at genotypic and phenotypic levels in both generations. Study of path analysis revealed that biological yield per plant and pods per plant exhibited maximum positive direct and indirect effects to the total association between yield and other component traits in both the generations. These traits could be suggested as best selection indices on priority basis which would be commendable to improve the performance of genotypes during breeding programme.

scholarly journals Aplicability of phenotypic and canonic correlations and path coefficients in the selection of oat genotypes

2006 ◽  
Vol 63 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Claudir Lorencetti ◽  
Fernando Irajá Félix de Carvalho ◽  
Antônio Costa de Oliveira ◽  
Igor Pirez Valério ◽  
Irineu Hartwig ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Direct Selection ◽  
Individual Plant ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Genetic Progress ◽  
Path Coefficients ◽  
Selection Of

Indirect selection through traits of higher heritability and of case measurements can result in larger genetic progress compared to using direct selection. This work was performed with the following objectives: (1) to estimative the phenotypic correlations between individual plant grain yield and agronomic traits of importance in the selection of white oat (Avena sativa L.) genotypes; (2) to identify traits that have the higher direct and indirect effects on grain yield; (3) to determine the intensity of association between primary and secondary components of grain yield; and, (4) to evaluate the consistency of these estimates using five oat genotypes crossed in a diallel format. The number of panicles per plant (NPP) showed to be the trait highest correlated with individual plant grain yield (GY) both through single correlations and through direct effects on grain yields. For weight of a thousand grains (WTG) <FONT FACE=Symbol>´</FONT> GY, in most crosses there was no detected association, leading to possible troubles for breeders, since larger grains were not associated to higher yield, except for the crosses UPF16 <FONT FACE=Symbol>´</FONT> UFRGS17 and UFRGS17 <FONT FACE=Symbol>´</FONT> URPel95/015. The trait number of grains per plant (NGP) was directly correlated with GY in all crosses, although the direct effects estimates on GY were negative for the crosses UPF16 <FONT FACE=Symbol>´</FONT> UPF18, UPF16 <FONT FACE=Symbol>´</FONT> URPel95/015, UPF18 <FONT FACE=Symbol>´</FONT> UFRGS17 and UFRGS7 <FONT FACE=Symbol>´</FONT> URPel95/015, indicating that correlations are not the main causes altering GY, which could be explained, in the present work, by indirect effects via NPP and mainly via panicle weight (PW).

Performance Evaluation of Grain Yield and Yield Related Traits in Common bean Genotypes at Yabello and Abaya, Southern Ethiopia

1970 ◽  
Vol 3 ◽  
pp. 28-34
Author(s):  
Ejigu Ejara, Wassu Mohammed, Berhanu Amsalu ◽  
Zinash Misgana, Mulatu Gabisa, Ganane Tasama
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Agronomic Traits ◽  
Southern Ethiopia ◽  
Design Data ◽  
Nutrition Security ◽  
Lattice Design ◽  
Food And Nutrition ◽  
Borana Zone ◽  
Home Consumption

Common bean is among the major crops grown in southern Ethiopia including Borana zone where the majority of the farmers are Agro-pastoralist and produce the crop mainly for home consumption. The area has potential to the production of common bean for food and nutrition security as well as export commodity. However, scarcity of varieties that fit to the environment is one of the major constraints of production. Therefore, this experiment was conducted to evaluate 36 common bean genotypes including seven released varieties to evaluate performance of genotypes for yield and agronomic traits. The field experiment was conducted in 2015 at two locations (Abaya and Yabello) and genotypes were planted in triple lattice design. Data were collected on yield and important agronomic traits. Analysis of variance computed for individual locations and combined analysis over locations revealed significant variations among genotypes for all traits. Moreover, 16.67% of the genotypes had mean grain yield greater than the best performing released variety across locations and the genotypes showed a grain yield as high as 3.25 tons ha-1. Based on results of this study it is recommended to test the high yielding and early maturing genotypes at many locations to develop preferred varieties across many locations.

scholarly journals Correlation and path analysis of yield and its components and plant traits in wheat

2004 ◽  
Vol 34 (6) ◽  
pp. 1701-1708 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Traits ◽  
Flag Leaf ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Correlation And Path Analysis ◽  
Positive Direct

This study was aimed to characterize yield components and plant traits related to grain yield. Correlation and path analysis were carried out in wheat genotypes grown under irrigated and non-irrigated field conditions. In the path coefficient analysis, grain yield represented the dependent variable and the number of spikes m-2, number of grains spike-1, kernel weight, days to anthesis, above-ground biomass m-2 and plant height were the independent ones. In both years, periods without rain occurred from early milk to grain ripening and from flag leaf sheath opening to grain ripening for first and second sowing dates, respectively. Character associations were similar in both water regimes. Grain yield showed positive phenotypic correlation with above-ground biomass, number of spikes m-2 and number of grains per spike. Path analysis revealed positive direct effect and moderate correlation of number of spike m-2 and number of grains per spike with grain yield. These results indicated that the number of spikes m-2 and the number of grains per spike followed by the above-ground biomass were the traits related to higher grain yield, under irrigated and late season water stress conditions.

scholarly journals Performance Evaluation of Common Bean (Phaseolus vulgaris L.) Genotypes for Yield and Related Traits at Areka, Southern Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Simon Yohannes ◽  
Gobeze Loha ◽  
Mesfin Kebede Gessese
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Block Design ◽  
Southern Ethiopia ◽  
Improvement Program ◽  
Seed Sources ◽  
Legume Crop ◽  
Plant Breeding Program

Common bean is a source of dietary protein and the second most important legume crop in Africa next to faba bean. In Ethiopia common bean is the most important legume as the source of protein and export commodity. Hence, development of commercial varieties is one of the major tasks to meet increasing demand of the stake holders. To this effect, understanding the genetic variability, heritability and association between grain yield and other agronomic traits is necessary for effective plant breeding program. In this context, a field experiment was conducted during 2016/2017 cropping season at Areka Agricultural Research Center in southern Ethiopia with the objective of evaluating common bean genotypes for yield and related traits and also estimate the variability present among the genotypes. Treatments consisted of thirty three common bean genotypes were laid out in a randomized complete block design (RCBD) with three replications. Common bean genotypes exhibited considerable variations for agronomic traits and grain yield. Majority of the traits; plant height, number of nodes, internode length, leaf area, LAI, biological yield, pods per plant, HI and HSW had higher PCV. Genotypic coefficient of variance (GCV) varied from 1.88% to 37.72% with the highest GCV recorded for HSW. Heritability in broad sense (H2) ranged from 0.52% to 95.33% with the highest value observed for HSW. The present study revealed significant variation among genotypes for traits considered except few insignificant traits. In addition, almost all the genotypes were well adapted to the study area and hence, the high yielding genotypes could be directly used as seed sources for production of common bean and some of the genotypes with best diseases resistance reaction, and with high heritability can possibly be used in common bean improvement program.

scholarly journals Phenotypic correlations and path analysis for plant architecture traits and grain production in three generations of cowpea

Revista CERES ◽  
2016 ◽  
Vol 63 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Hugo Leonardo Coelho Ribeiro ◽  
Carlos Antônio Fernandes Santos ◽  
Laerte da Silva Diniz ◽  
Layana Alves do Nascimento ◽  
Edna Deodato Nunes
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Architecture ◽  
Statistical Significance ◽  
Phenotypic Correlation ◽  
Cowpea Cultivars ◽  
Phenotypic Correlations ◽  
Three Generations ◽  
Correlation And Path Analysis ◽  
Selection Of

ABSTRACT The objective of this study was to analyze the phenotypic correlation and path analysis of traits related to plant architecture, earliness and grain yield in F2, BC1 and BC2 generations, from crosses between cowpea cultivars BRS Carijó and BR14 Mulato. Most phenotypic correlations of the examined traits were concordant in statistical significance, with approximate values among the examined generations. For the trait seed weight, significant and positive phenotypic correlations were observed in the three generations only for the trait number of secondary branches. The values of the direct effects were in agreement with the values of the phenotypic correlations, which indicate true association by the phenotypic correlation among the traits of grain yield examined. Path analysis indicated that the selection of productive plants will result in early plants and an increased number of secondary branches. In F2, plants with shorter length of the main branch and shorter length of secondary branches can be obtained. The causal model explained 15 to 30% of the total variation in grain weight in relation to the traits examined. The analyses indicated the possibility of selecting plants with a higher and early grain yield, shorter length of primary branches and lower number of nodes, which are important variables for mechanical or semi-mechanical harvesting.

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