The association between potato tuber yield and the components of yield in irrigated and dryland environments in the prairies

1991 ◽  
Vol 71 (1) ◽  
pp. 279-287 ◽  
Author(s):  
D. R. Lynch ◽  
G. C. Kozub
Keyword(s):  
Potato Breeding ◽  
Tuber Yield ◽  
Correlation Coefficients ◽  
Yield Component ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Marketable Yield ◽  
Yield Structure ◽  
Selection For ◽  
Average Tuber Weight

A study of the yield structure of nine potato genotypes was carried out over a 3-yr period in irrigated and dryland environments in the Prairies. This was undertaken to develop an understanding of yield component interactions, which could be useful in the selection for yield in early clonal generations of the Prairie Potato Breeding Project. Path coefficient analysis was used to partition correlation coefficients among yield and yield components into direct and indirect effects. Marketable yield of tubers in the irrigated and dryland environments differed markedly as did interactions between components in determining yield. Mainstem and tuber number were associated positively with yield under irrigated but not under dryland conditions. Tuber yield was strongly associated with average tuber weight under both irrigated and dryland conditions. The study indicates that consideration of yield component interactions in early generation selection "activities" could assist in the identification of high-yielding genotypes. Key words: Path coefficient analysis, Solanum tuberosum, selection, early clonal generations

Components of yield in field beans, Vicia faba L.

1969 ◽  
Vol 72 (3) ◽  
pp. 359-363 ◽  
Author(s):  
A. E. Kambal
Keyword(s):  
Seed Weight ◽  
Correlation Coefficients ◽  
Local Strain ◽  
High Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Primary Yield ◽  
Selection For ◽  
Field Beans ◽  
Pod Number

SUMMARYThe components of yield were studied in a local strain of field beans (Baladi) and two Egyptian varieties (Rebaya 40 and Giza 1). Although no significant differences between varieties were detected in yield per plant, there were differences in components of yield. The Egyptian varieties produced heavier seeds but less pods and seeds than the local strain. The higherpod number in Baladi resulted from a capacity to produce more pods per stem rather than from anability to produce more stems per plant.Correlations between yield and other plant characters and between components of yield were computed. The path-coefficient analysis was employed to partition the correlation coefficients and to compare the relative importance of the primary yield components in predicting yield. Pods per plant showed the highest correlation with yield and selection for high yield can be based on it. Seed weight was negatively associated with pod number and seeds per pod but the r values were too low to be of predictive value. Multiple correlations indicated that 95–98% of the variability in yield was accounted for by the components pod number, seeds per pod and seed weight.

scholarly journals Character association and path coefficient analysis for identification of yield enhancing characters in snake gourd (Trichosanthes anguina L.)

2016 ◽  
Vol 3 (2) ◽  
pp. 57-65
Author(s):  
S Islam ◽  
R Hasan ◽  
A Bashar ◽  
MK Hossain ◽  
AKM M Huque ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Fruit Length ◽  
Selection For ◽  
Effect On Yield ◽  
Positive Direct ◽  
Positive Effect

Correlations and path coefficient were studied in seven snake gourd genotypes namely Turag, Surma, Vorosa, Manghosito, Jhumlong, Green nitch and Monosha for yield and eleven yield contributing characters. The correlation coefficients were determined to find out the interrelationship among the characters studied. The correlation studies revealed that, yield/plant had positive and highly significant correlation both in phenotypic and genotypic level with fresh weight/fruit, fruit girth, fruits/plant, plant height and fruit length which indicated that yield could be increased by selecting these characters. Direct and indirect effects were measured using path coefficient analysis in order to obtain mechanisms of interrelationship between yield/plant and its components. The highest positive direct effect (0.9763) on yield/plant was found in fresh weight/fruit followed by fruits/plant (0.4179) and fruit length (0.2665). The characters showed direct positive effect on yield/plant indicated that direct selection for these traits might be effective for improving yield through selection in snake gourd.Jahangirnagar University J. Biol. Sci. 3(2): 57-65, 2014 (December)

scholarly journals Effect of nitrogen fertilization and microbial preparations on potato yielding

2014 ◽  
Vol 60 (No. 8) ◽  
pp. 379-386 ◽  
Author(s):  
M. Kołodziejczyk
Keyword(s):  
Nitrogen Fertilization ◽  
Yield Components ◽  
Field Experiments ◽  
Tuber Yield ◽  
Coefficient Of Determination ◽  
Soil Conditions ◽  
Control Analysis ◽  
Tuber Weight ◽  
Marketable Yield ◽  
Average Tuber Weight

The effect of nitrogen fertilization and microbial preparations on yielding and development of potato tuber yield components were assessed in field experiments conducted under soil conditions of Luvic Chernozem. The factors of the experiment were nitrogen fertilization levels: 0, 60, 120 and 180 kg N/ha and the following preparations: BactoFil B10, effective microorganisms and UG<sub>max</sub> soil fertilizer. Nitrogen fertilization caused a significant increase in marketable yield of potato tubers. Yield increments on individual fertilizer treatments ranged from 66% to 140%. An evident effect of this factor was also visible regarding the yield components values. Increase in the number of main stems per 1 m<sup>2</sup> under the influence of growing nitrogen doses occurred from the fertilization level 120 kg N/ha, whereas the number of tubers per 1 stem increased only to the level of 60 kg N/ha. Each nitrogen dose applied within the range to 180 kg N/ha caused a marked increase in an average tuber weight. Conducted investigations demonstrated an unfavourable effect of microbial preparations on the marketable crop yield of tubers and formation of yield components. On the objects where microbial preparations were applied, the marketable yield was lower by 1.5 to 2.3 t/ha than in the control. Analysis of linear regression revealed occurrence of significant dependencies between the total tuber yield and the values of individual yield components. The relationships were the most visible for an average tuber weight formation as evidenced by the value of coefficient of determination&nbsp;(R<sup>2</sup> = 0.983).

Character association and path coefficient analysis for yield, yield attributes and water use efficieny traits in grounndut (Arachis hypogaea L.) -A review

2015 ◽  
Vol 36 (4) ◽  
Author(s):  
K. John ◽  
P. Raghava Reddy ◽  
P. Hariprasad Reddy ◽  
P. Sudhakar ◽  
N. P. Eswar Reddy
Keyword(s):  
Complex Traits ◽  
Correlation Coefficients ◽  
Kernel Weight ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Yield Attributes ◽  
Pod Yield ◽  
Primary Yield ◽  
Final Expression

Correlation analysis provides useful information for basis of selection for trait like pod and seed y ield. Seed yield is the most economic as well as very complex character in nature because it is governed by polygene and greatly influenced by environmental factors. The estimate of genotypic correlation coefficients in general higher than their corresponding phenotypic correlations indicating strong inherent association among the traits. Pod yield in groundnut is a complex and depends upon the interplay of number of components attributes. Primary yield components of groundnut <italic>viz.</italic>, pod size, sound mature kernels, shelling percentage, 100 kernel weight, kernel yield and number of mature pods per plant showed positive correlation with each other and with pod yield. A clear picture of contribution of each component is the final expression of character would emerge through the study of correlation and causation of path concept revealing different ways in which component attributes influence the complex traits. Path coefficient analysis helps in formulating the selection criteria based on these direct and indirect effects. In order to achieve the goal of increased production by increasing the yield potential of crop, knowledge of direction and magnitude of association between various traits is essential for plant breeders.

ANALYSIS OF GENOTYPE-ENVIRONMENT INTERACTIONS BASED ON THE METHOD OF PATH COEFFICIENT ANALYSIS

1975 ◽  
Vol 17 (2) ◽  
pp. 141-149 ◽  
Author(s):  
G.C.C. Tai
Keyword(s):  
Causal Relationship ◽  
Yield Components ◽  
Path Coefficient ◽  
Environmental Resources ◽  
Path Coefficient Analysis ◽  
Ge Interaction ◽  
Marketable Yield ◽  
Component Trait ◽  
Field Crops ◽  
Component Traits

A method of investigating genotype-environment interactions of field crops is presented. Based on the concept that yield components are determined sequentially at different stages in the ontology of plants and the hypothesis that the environmental resources can be separated into independent groups with each contributing to the development of a component trait, a causal relationship between environmental resources, component traits and yield is established (Fig. 1). The GE interaction effect is then represented by three multiplicative terms which are composed of three genotypic and three environmental components. These components are estimated using the method of path coefficient analysis based on the postulated causal relationship. Data of marketable yield and yield components of seven potato cultivars collected from two series of trials are examined by the proposed method.

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

scholarly journals Interrelationship and Cause - Effect Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.) Genotypes

2020 ◽  
pp. 511-518
Author(s):  
B. Soundharya ◽  
Ramya Rathod ◽  
Firdoz Shahana ◽  
Y. Swathi ◽  
P. Jalender Naik ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Positive Association ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Effect Analysis ◽  
Rice Genotypes ◽  
Selection For ◽  
High Yielding Varieties ◽  
Positive Direct

The basic aim of plant breeders is to improve the yielding potential of existing varieties along with creation of new high yielding varieties. This experiment was carried out to study the association of yield and yield attributing traits along with path coefficient analysis among twenty rice genotypes. Analysis of variance revealed the existence of significant differences in genotypes for all the characters studied. Grain yield had positive significant association with ear bearing tillers/m2 (0.5395**/0.6264**), number of filled grains per panicle (0.5236**/0.5774**) and test weight (0.2575*/0.2560*) and days to 50 percent flowering (0.3294**/0.3648**), It indicates that these characters are important for yield improvement. Path coefficient analysis revealed maximum positive direct effect of number of filled grains per panicle (1.4128/1.8979), test weight(1.1812/1.5927), days to fifty percent flowering (0.2404/0.1669), ear bearing tillers (0.0159/0.1224) and panicle length(0.0710/0.0813). Selection for the traits with positive association and direct effects will be useful for the improvement in yield of rice through breeding programme.

scholarly journals Correlation and Path Coefficient Analysis Studies on Grain Yield and Its Contributing Characters in Maize (Zea mays L.)

2020 ◽  
pp. 7-13
Author(s):  
O. P. Taiwo ◽  
A. I. Nwonuala ◽  
B. F. Isaiah ◽  
D. O. Olawamide ◽  
I. K. Agbugba
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Maize Grain Yield ◽  
Maize Varieties ◽  
Ear Height ◽  
Maize Grain ◽  
Selection For ◽  
Positive Direct

In crop breeding, the selection for yield is made complex because of the quantitative and polygenic nature of the character. This study was undertaken to assess character association and show the contribution of various yield contributing characters in some maize varieties through the help of correlation and path coefficient analyses in order to identify appropriate plant characters for selection to improve maize grain yield. Seventeen maize varieties were sown in a randomized complete block design with three replications in a humid environment of Port Harcourt, Nigeria in 2018 under rainfed condition. Data were recorded for days to 50% anthesis, days to 50% silking, anthesis-silking interval, plant height (cm) and ear height (cm), number of plants per plot, number of plants harvested, number of ears harvested, moisture content (%), field weight (kg), and grain yield (t ha-1). Results showed number of plants per plot, number of plants harvested, number of ears harvested and field weight correlated positively and significantly both phenotypically and genotypically with grain yield. Path coefficient analysis at the genotypic level also revealed field weight and days to 50% anthesis as the characters exerting the highest positive direct effect on grain yield. Therefore, maize grain yield could be improved through indirect selection for these characters.

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