scholarly journals Correlations and path analysis in soybean progenies with resistance source to cyst nematode (race 3)

2019 ◽  
Vol 10 (1) ◽  
pp. 168-175
Author(s):  
Daniela Sarti Dvorjak ◽  
Sandra Helena Unêda-Trevisoli ◽  
Wallace De Sousa Leite ◽  
Alysson Jalles da Silva ◽  
Fabiana Mota da Silva ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Agronomic Traits ◽  
Block Design ◽  
Correlation Coefficients ◽  
Randomized Block Design ◽  
Important Study ◽  
Genotypic Correlations ◽  
The Relationship ◽  
Number Of Seeds

Path analysis is an important study that slices the correlation coefficients between two variables to evaluate whether the relationship between them is of cause and effect. This study aimed to estimate the phenotypic and genotypic correlations between agronomic traits and perform a path analysis in order to identify variables for indirect selection aiming at a higher grain yield. Fourteen soybean F6 lines from the soybean breeding program of FCAV–UNESP, Jaboticabal, São Paulo, Brazil, were analyzed. The experimental design was a randomized block design with three replications. The agronomic traits plant height at maturity (PHM), first pod height (FPH), lodging (Ld), agronomic value (AV), number of pods per plant (NP), number of seeds per plant (NS), and grain yield (GY) were evaluated. Overall, the genotypic correlations were higher than their corresponding phenotypic correlations. The genotypic correlations between grain yield and the traits agronomic value, number of pods per plant, and number of seeds per plant were positive, significant, and of high magnitude. Path analysis showed that the trait number of seeds per plant had the highest direct effect on grain yield, while the trait number of pods per plant had the highest indirect effect through the number of seeds per plant on grain yield

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 Número suficiente de repetições para análise de trilha em milho

2021 ◽  
Vol 43 ◽  
pp. e32
Author(s):  
Alberto Cargnelutti Filho ◽  
Marcos Toebe ◽  
Bruna Mendonça Alves ◽  
Ismael Mario Marcio Neu ◽  
Jéssica Andiara Kleinpaul
Keyword(s):  
Path Analysis ◽  
Agronomic Traits ◽  
Block Design ◽  
Correlation Coefficients ◽  
Parameter Estimates ◽  
Coefficient Estimates ◽  
Maize Cultivars ◽  
Randomized Block Design ◽  
Data Files ◽  
Quadratic Response

The number of replications is assumed to interfere in the estimates of the path analysis coefficients. Thus, the objective of this work was to determine the sufficient number of replications for the path analysis of traits in maize cultivars. An experiment was conducted with 15 maize cultivars in a complete randomized block design with nine replications, and seven variables were measured. Then, 511 data files (matrices) formed by all combinations of the nine replications were organized, in groups of 1, 2, 3, 4, 5, 6, 7, 8 and 9 replications. In each matrix, containing the averages of 15 cultivars for the seven variables, Pearson's linear correlation coefficients were estimated, the multicollinearity diagnostics and path analysis were performed and dispersion diagrams were constructed. The sufficient number of replications for the path analysis was determined from the parameter estimates of the quadratic response plateau model. With the replications number increases, the accuracy of the path analysis coefficient estimates improves, but the gains in accuracy gradually decrease. Six replications are sufficient to perform the path analysis of agronomic traits of maize cultivars and can be used as a reference for designing future experiments.

scholarly journals Genetic divergence and path analysis in wheat cultivars under heat stress

2020 ◽  
Vol 50 ◽  
Author(s):  
Carlos Eduardo da Silva Oliveira ◽  
Agner de Freitas Andrade ◽  
André Zoz ◽  
Renato Lustosa Sobrinho ◽  
Tiago Zoz
Keyword(s):  
Heat Stress ◽  
Grain Yield ◽  
Path Analysis ◽  
Genetic Divergence ◽  
Block Design ◽  
Wheat Breeding ◽  
Wheat Crop ◽  
Wheat Cultivars ◽  
Tropical Regions ◽  
Randomized Block Design

ABSTRACT One of the biggest limitations for the wheat crop expansion to Brazilian tropical regions is the high temperature in the rainy season. This study aimed to select, based on genetic divergence and path analysis, cultivars that tolerate cultivation in the summer (heat stress). Nine wheat cultivars were sown, using a randomized block design with three replications, with plots consisting of 10 rows of 6 m and row spacing of 0.15 m. The highest grain yield and number of ears m-2 were observed for the CD 150 cultivar and the largest 1,000-grain weight for CD 116. BRS 220, IPR 136, IPR 144 and BRS Pardela had the highest number of sterile spikelets. The highest number of grains per ear was observed for CD 150, CD 116, BRS Pardela, IPR 130 and IPR 85, showing direct effects on grain yield, evidenced by the path analysis. CD 116 and CD 150 were the most productive cultivars and can be considered as possible parents in wheat breeding programs. IPR 85, CD 116, CD 108 and CD 150 showed a greater tolerance to high temperatures.

scholarly journals GREEN BEAN YIELD AND PATH ANALYSIS IN COWPEA LANDRACES

2016 ◽  
Vol 29 (4) ◽  
pp. 866-877 ◽  
Author(s):  
THAISY GARDÊNIA GURGEL DE FREITAS ◽  
PAULO SÉRGIO LIMA E SILVA ◽  
JÚLIO CÉSAR DOVALE ◽  
EDICLEIDE MACÊDO DA SILVA
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Block Design ◽  
Green Bean ◽  
Northeast Brazil ◽  
Randomized Block Design ◽  
Grain Yield Components ◽  
Bean Yield ◽  
Positive Direct ◽  
Positive Effect

ABSTRACT Cowpea (Vigna unguiculata (L.) Walp.) is widely cultivated in northeast Brazil for production of both green grains and dry grains. Green grains are cowpea grains with a 60 to 70% moisture content that are very appreciated by the local people. The cultivation of cowpea in northeast Brazil is performed mostly using landraces and the low yields achieved in some areas of that region are generally attributed to the cultivation of less productive landraces. The objectives of this research were to identify the best landraces in terms of green bean yield and the characters that hold the most positive direct effects on this yield via path analysis. Twelve landraces of undetermined growth were evaluated in two experiments conducted in Mossoró, Brazil. The first experiment (E1) was sprinkler-irrigated and the second (E2) was conducted under rainfed conditions, but was irrigated whenever necessary. Pod yield and dimensions and green grains were evaluated, in addition to the main grain yield components. A randomized block design with five replications was used. The data presented here identified eight landraces with the highest yields. In addition, cowpea yield was higher in the dry season (E1) than in the rainy season (E2). The number of pods per plant had the largest direct positive effect on green grain yield.

scholarly journals Correlations and path analysis in agronomic traits of soybeans under defoliation

2020 ◽  
Vol 36 (5) ◽  
Author(s):  
Alan Mario Zuffo ◽  
Francisco de Alcântara Neto ◽  
Tiago Zoz ◽  
Rafael Felippe Ratke ◽  
Jorge González Aguilera ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Agronomic Traits ◽  
Block Design ◽  
Indirect Selection ◽  
Additional Treatment ◽  
Leaf Damage ◽  
Thousand Grain Weight ◽  
Randomized Block Design ◽  
Selection For

 Stress events or leaf damage can alter the redistribution of photoassimilates and modify the morphological traits directly related to grain yield. This study aimed to evaluate the influence of agronomic traits on grain yield in soybean crop in function of leaf defoliation. The experiment consisted of a randomized block design with three replications, arranged in a 6 x 3 + 1 factorial scheme. The factors were composed by six reprodutive stages (R1, R2, R3, R4, R5, and R6) and three defoliation levels (33%, 66%, and 99%), and one additional treatment without defoliation (control). The following traits were evaluated: plant height, number of pods per plant, number of grains per pod, thousand grain weight, and grain yield. The magnitudes of the correlations between the same traits showed high oscillation according to the defoliation level. Results revealed the potential for the indirect selection for grain yield by the traits plant height and number of grains per pods under 0% of defoliation and by the trait number of pods per plant under 33% of defoliation.

scholarly journals Ketahanan Genotipe Kedelai Terhadap Hama Pengisap Polong, Riptortus linearis F. (Hemiptera: Coreidae)

2019 ◽  
Vol 47 (2) ◽  
pp. 141-148
Author(s):  
Ayda Krisnawati ◽  
Marida Santi Yudha Ika Bayu ◽  
Dan Mochammad Muchlish Adie
Keyword(s):  
Path Analysis ◽  
Block Design ◽  
Choice Test ◽  
Stink Bug ◽  
Yield Losses ◽  
Seed Damage ◽  
Randomized Block Design ◽  
Soybean Genotypes ◽  
The Relationship

The brown stink bug, Riptortus linearis, is the most dominant of soybean pod sucking pest in Indonesia. The objectivesof the study were to identify the resistance of soybean genotypes against brown stink bug and to determine the relationship ofagronomic characters with the intensity of pod and seed damages. Research was conducted at Balitkabi (Malang, Indonesia)from April to August 2018. Thirteen genotypes were assessed for their resistance to brown stink bug under choice and nochoicetests. A randomized block design was carry out with three replicates. The number of punctures on seed, seed and poddamages intensity on no-choice test was higher than those under choice test. Under choice test, the pod damage ranged from19.40-41.68% (average of 29.51%), and the seed damage ranged from 19.31-39.90% (average of 26.80%). Under no-choicetest, the pod damage ranged from 25.77-43.58% (average of 37.41%), and the seed damage ranged from 21.30-58.29%(average of 34.27%). The 11AB and 19BE showed consistently resistant based on pod and seed damage under the choicetest. Under no-choice-test, 19BE showed consistently resistant. The path analysis showed that an increase in the number ofseeds will possibility increase the number of punctures on the seed and then contribute to the increase of yield losses. The19BE which showed consistently resistant to brown stink bug was recommended to be further tested in the adaptation trialand released as superior variety.

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 Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean

2021 ◽  
Vol 22 (3) ◽  
Author(s):  
Anna Satyana Karyawati ◽  
ENO SINTHIA VINKY PUSPITANINGRUM
Keyword(s):  
Path Analysis ◽  
Agronomic Traits ◽  
Block Design ◽  
Dry Weight ◽  
High Yield ◽  
Plant Weight ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Number Of Seeds ◽  
Number Of Branches

Abstract. Karyawati AS, Puspitaningrum ESV. 2021. Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean. Biodiversitas 22: 1146-1151. To obtain more productive soybean genotypes, it is essential to know the contribution of each agronomic trait to the productivity of soybeans. The purpose of this study was to analyze the correlation and path analysis in thirty genotypes of soybeans (Glycine max (L.) Merrill) for eleven traits. The study was conducted in March-June 2019, in an experimental area located at Agro Techno Park, which belongs to Universitas Brawijaya, Malang, East Java Province, Indonesia. The experimental design was a randomized complete block design with three replications. Analysis of correlation showed that the number of branches, number of filled pods, number of seeds per plant, weight of 100 seeds, and weight of seeds per plant had a positive correlation value to the yield. Path analysis showed that the number of seeds per plant had a high positive, direct effect on the yield. The plant height, number of branches, fresh weight and dry weight had an indirect effect on the yield. Based on the result, the number of seeds per plant can be selected as one of the selection criteria in a soybean breeding program to obtain a high-yield soybean variety.

scholarly journals The application of the multivariate analysis method for some traits in wheat under drought stress

2015 ◽  
Vol 60 (4) ◽  
pp. 407-417
Author(s):  
Seyed Mirtaheri ◽  
Farzad Paknejad ◽  
Marieh Behdad
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Harvest Index ◽  
Stem Elongation ◽  
Block Design ◽  
Growing Season ◽  
Stress Path ◽  
Research Field ◽  
Randomized Block Design ◽  
The Relationship

In order to evaluate the relationship between yield and some relevant traits and estimation of the most effective traits on grain yield, a split-plot experiment based on completely randomized block design with four replications was carried out in 2006-2007 in the research field of Islamic Azad University of Karaj. The irrigation schemes scheduled as main plots included the following: (T1) 40% moisture depletion throughout the growing season (control); (T2) 60% moisture depletion throughout the growing season; (T3) 80% moisture depletion throughout the growing season; (T4) no irrigation during the stem elongation stage and continuing with adequate irrigation to the end of the growing season; (T5) no irrigation from the stem elongation stage to the end of the growing season; (T6) no irrigation at flowering and continuing with adequate irrigation to the end of the growing season; (T7) no irrigation from flowering to the end of the growing season; and (T8) no irrigation from the milk stage to the end of the growing season; and 2 wheat cultivars [Marvdasht (V1), Chamran (V2)] as sub-plots. According to the results of simple correlation, the grain yield exhibited the most positive correlation with biomass (0.877), number of infertile spikelets (0.876) and harvest index (0.855). The results of step-wise regression showed that, in the absence of drought stress, biomass and harvest index had respectively the most important effects on the grain yield but both exhibited different results under drought stress. Path analysis results showed that the most important effect on the grain yield in the total tested treatments was related to the biomass, justifying a total of 87% of grain yield variations, 72% of which is the direct effect of this trait on grain yield.

scholarly journals Path Analysis in Soybean Cultivars Grown under Foliar Spraying and Furrow Inoculation with Azospirillum brasilense

2017 ◽  
Vol 9 (10) ◽  
pp. 137
Author(s):  
Alan Mario Zuffo ◽  
Joacir Mario Zuffo Júnior ◽  
Wéverson Lima Fonseca ◽  
Everton Vinicius Zambiazzi ◽  
Augusto Matias de Oliveira ◽  
...  
Keyword(s):  
Experimental Design ◽  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Azospirillum Brasilense ◽  
Block Design ◽  
Soybean Plant ◽  
Randomized Block Design ◽  
Established Plant ◽  
Part Plant

The objective of this study was to evaluate, through path analysis, the influence of agronomic characters as a function of foliar spraying and furrow inoculation by Azospirillum brasilense on soybean yield. Two experiments were conducted in the crop years of 2013/14 and 2014/15, grown in Lavras, Minas Gerais. In the first experiment, the experimental design was a randomized block in a factorial 4 × 6, four cultivars (Anta 82 RR®, BRS Favorita RR®, BRS 780 RR®, BRS 820 RR®) and six doses of A. brasilense (0, 300, 400, 500, 600, 700 mL ha-1), with three replications. In the second experiment, the experimental design was a randomized block design, arranged in a 4 × 2 factorial scheme, four cultivars (Anta 82 RR®, BRS Favorita RR®, BRS 780 RR®, BRS 820 RR®) and two treatments with A. brasilense (inoculated and non-inoculated) with three replications. For both experiments, it was established plant height, phytomass of the aerial part, plant height at harvest, first legume insertion, number of legumes, number of grains per legume, mass of one thousand grains and grain yield. In the study with foliar spraying of soybean with A. brasilense, plant height at harvest was the only variable that had a direct effect on soybean grain yield. As such, in the study with furrow inoculation of A. brasilense in soybean, plant height at harvest and number of vegetables were the variables with the greatest direct effects on soybean grain yield.

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