scholarly journals Evaluation of Underutilized Kodo Millet (Paspalum scrobiculatum L.) Accessions using Morphological and Quality Traits

2020 ◽  
Author(s):  
V. Nirubana ◽  
R. Ravikesavan ◽  
K. Ganesamurthy
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Association Studies ◽  
Antioxidant Properties ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wide Range ◽  
Kodo Millet ◽  
Inflorescence Length

Background: Kodo millet is an important drought tolerant crop and has high nutritional values, dietary fiber and antioxidant properties. It has considerable production potential in marginal and low fertility soils under diverse environmental conditions. Considering the importance of the crop, it is necessary to improve the nutritional quality along with grain yield of the crop. With this background, the investigation was aimed to study the correlation and path coefficient analysis which helps to identify the promising traits for yield and quality improvement. Methods: One hundred and three kodo millet germplasm lines were evaluated for 13 morpho-agronomic and two grain nutritional traits. The crop was raised in randomized block design to select the promising genotypes and to study the association among the traits and the magnitude of direct and indirect effects for fifteen quantitative traits. Result: Based on the overall mean performance the significant genotypes were identified and found wide range of variability for different traits. Character association studies indicated that days to first flowering, days to 50 per cent flowering, plant height, number of productive tillers, peduncle length, inflorescence length, length of the longest raceme and thumb length were significantly positive association with grain yield per plant. Path coefficient analysis revealed that inflorescence length, plant height, length of the longest raceme, flag leaf blade length and number of productive tillers exhibited high direct positive effect on grain yield. Therefore, giving importance of these traits during selections may be useful for developing nutritionally superior high yielding kodo millet genotypes.

scholarly journals Correlation and path coefficient analysis among seed yield and yield related traits of Ethiopian chickpea (Cicer arietinum L.) landraces

2018 ◽  
Vol 111 (3) ◽  
pp. 661
Author(s):  
Awol Mohhammed ADEM ◽  
Asnake FIKRE
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Harvest Index ◽  
Seed Mass ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L

<p>The experiment was done on 202 new chickpea (Cicer arietinum L.) landraces with 2 checks to assess the association, direct and indirect effect of different characters on yield. The experiment was planted at Sirinka and Jari, Ethiopia, under rain fed condition in 2016 using alpha lattice design with three replications. Data were collected on yield and yield related traits. Analysis of variance showed highly significant differences among genotypes. The correlation of grain yield with biomass and with harvest index was positive and highly significant both at genotypic and phenotypic levels. In addition, its association with pod filling period, plant height, secondary branches and hundred seed mass was positive but insignificant both at genotypic and phenotypic levels. Path coefficient analysis at genotypic level showed that among the 15 causal (independent) traits; biomass, harvest index, pod length, days to pod setting, pod filing period, canopy width, primary branches, secondary branches, and number of pods per plant had positive and directly influence on grain yield. Although the days to flowering, plant height and hundred seed mass had positive genotypic correlation with grain yield. In general correlation coupled with path coefficient analysis revealed that biomass and harvest index had a direct relationship with seed yield.<em></em></p>

Variability, character association and path coefficient analysis of green pod yield and its related traits in pea (Pisum sativum L.)

2017 ◽  
Author(s):  
Keshav K. Gautam ◽  
M. M. Syamal ◽  
A. K. Singh ◽  
Nakul Gupta
Keyword(s):  
Plant Height ◽  
Association Studies ◽  
Path Coefficient ◽  
Pod Yield ◽  
Wide Range ◽  
Character Association ◽  
Additive Gene ◽  
High Heritability ◽  
Positive Direct ◽  
Number Of Branches

Genetic variability, character association and path coefficient studies were carried out for yield and yield contributing characters for twenty-four diverse genotype of pea. The results revealed a wide range of phenotypic variation, along with high heritability in pea. Highest pod yield per plant was recorded in VRP-229 followed by VRP-372 and VRP-305. The characters namely, plant height and weight of seeds per pod showed high magnitude, while number of pods per plant, number of branches per plant and pod yield per plant showed moderate magnitude for phenotypic and genotypic coefficient of variation. The heritability and genetic advance were high for days to first pod initiation, plant height and pod yield per plant indicating its additive gene action for their expression. Character association studies revealed that pod yield per plant exhibit positive and highly significant correlation with number of pods per plant, number of branches per plant and days to fifty percent flowering. The path coefficient studies also revealed that maximum positive direct effect was observed through number of pods per plant followed by days to first flowering, single pod weight and pod length towards yield indicated that these characters may be considered as the most reliable selection indices while making selection for high yielding genotypes.

scholarly journals Path analysis for grain yield in barnyard millet (Echinochloa frumentacea (Roxb.) link )

2015 ◽  
Vol 44 (1) ◽  
pp. 147-150
Author(s):  
R Prakash ◽  
C Vanniarajan
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Association Studies ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Barnyard Millet ◽  
Straw Yield ◽  
Echinochloa Frumentacea

Path coefficient analysis was studied in 65 genotypes of barnyard millet to find out the association studies of characters and their direct and indirect effects on grain yield/plant. Results exhibited that single earhead weight had maximum direct effects on grain yield/plant followed by straw yield/plant, earhead length and plant height. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22739 Bangladesh J. Bot. 44(1): 147-150, 2015 (March)

The relationship between seed yield and associated characters in meadow fescue (Festuca pratensis)

1966 ◽  
Vol 67 (2) ◽  
pp. 243-248 ◽  
Author(s):  
Joseph Lewis
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Dry Matter ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Festuca Pratensis ◽  
Path Coefficient Analysis ◽  
Meadow Fescue ◽  
Matter Production ◽  
The Relationship

A study was made of phenotypic correlations between seed yield and some other traits of determinable value in two bred varieties of meadow fescue. Seed yield and such characters as time of flowering, plant height and dry-matter production of spaced plants in October and at the time of anthesis were found to be closely associated.The method of path coefficient analysis was used to study the interrelationships of seed yield and its components in the causal system: fertile tiller and floret numbers, percentage fertility and thousandseed weight. This analysis corroborates the result of simple correlations in showing the importance of fertile tiller numbers and fertility as major determinants of seed yield.

scholarly journals Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

2021 ◽  
Vol 12 (5) ◽  
pp. 496-505
Author(s):  
M. Vennela ◽  
◽  
B. Srinivas ◽  
V. Ram Reddy ◽  
N. Balram ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
Kernel Length ◽  
1000 Grain Weight

The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality varieties. The result from the study revealed that all the nineteen characters studied has shown a great range of variation for correlation and path analysis. The character association studies in this experiment revealed that the trait grain yield plant-1 had showed significant positive correlation with plant height, spikelet fertility, 1000 grain weight, milling %, hulling %, kernel length and kernel breadth whereas it showed negative and non-significant association with days to 50% flowering. The path analysis studies revealed that kernel length was the major contributor for grain yield plant-1 followed by plant height, spikelet fertility, number of grains per panicle, 1000 grain weight, milling %, gel consistency, amylose content and alkali spreading value. These characters showed direct positive effects for grain yield plant-1. From the study it can be concluded that the above characters can be used directly as the selection criteria in any rice yield improvement breeding programmes.

scholarly journals Correlation and Path Coefficient Analysis of Yield and Yield Components of Quality Protein Maize (Zea mays L.) Hybrids at Jimma, Western Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Jemal Aman ◽  
Kassahun Bantte ◽  
Sentayehu Alamerew ◽  
Desta Berhe Sbhatu
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Essential Amino Acids ◽  
Grain Weight ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Selection Indices ◽  
Ear Height ◽  
Effect On Yield

Maize is one of the most important staple food crops in many parts of Ethiopia. However, it is not used extensively due to its poor nutritional quality and low productivity. It lacks two essential amino acids, namely, lysine and tryptophan. Knowledge of the interrelationships of grain yield and its various causal (contributory) components is very helpful to improve the efficiency of breeding programs using appropriate selection indices. This article reports the findings of a study conducted to determine the nature of relationships of grain yield and its contributing components and to identify those components with significant effects on yield with the intention of using them as selection criteria using path coefficient analysis (PCA). Therefore, PCA has shown that yield per hectare had a significant and positive phenotypic correlation with plant height, ear height, number of kernels per row, and 100-grain weight. Moreover, PCA had a significant and positive genotypic correlation with days to 50% tasseling, plant height, ear height, and 100-grain weight. The highest direct positive effect on yield per hectare was exhibited by ear height. The findings of this study showed that most genotypes are early maturing and are suitable for areas with short rainy seasons and prone to drought.

scholarly journals Correlation and Path Coefficient Analysis for ‘Yield Contributing’ Traits in Quality Protein Maize (Zea mays L.)

2020 ◽  
pp. 91-99
Author(s):  
Digvijay Singh ◽  
Ajay Kumar ◽  
Rajesh Kumar ◽  
Satish Kumar Singh ◽  
Nitesh Kushwaha ◽  
...  
Keyword(s):  
Grain Yield ◽  
Association Studies ◽  
Research Work ◽  
Positive Association ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Maize Genotypes ◽  
Ear Height ◽  
Positive Direct

Character association studies will help to assess the relationship among the yield and its components for enhancing the usefulness of the selection. In view of this, the present research work was carried out to assess the correlation coefficient and path analysis among twenty five maize genotypes using eleven quantitative parameters. Correlation studies indicated that plant height (cm), ear height (cm), ear length (cm), ear girth (cm), number of kernel rows per ear, number of kernels per row showed significant positive association with grain yield (Kg/ha) as well as among themselves at phenotypic and genotypic level. Hence, selection for any one of these characters would bring in simultaneous improvement of other characters and also finally improvement in grain yield (kg/ha). Path coefficient analysis revealed that the highest positive direct effects on grain yield  was exhibited by days to 75% tasseling, ear length, days to 75% brown husk, ear height and ear girth. Therefore, present investigation could be helpful in a reliable selection of parental lines based on the above given traits as well as for the development of high yielding verities for further breeding programs.

scholarly journals Genetic Variation and Path Coefficient Analysis of Introgressed Maize Inbred Lines for Economic Traits

2019 ◽  
Vol 11 (17) ◽  
pp. 135
Author(s):  
L. Musundire ◽  
J. Derera ◽  
S. Dari ◽  
P. Tongoona
Keyword(s):  
Genetic Variation ◽  
Grain Yield ◽  
Plant Height ◽  
Inbred Lines ◽  
Yield Potential ◽  
Path Coefficient ◽  
Economic Traits ◽  
Path Coefficient Analysis ◽  
Maize Inbred Lines ◽  
Stalk Lodging

Knowledge of the effects of introgressing temperate maize germplasm in tropical elite inbred lines on genetic variation and relationship between grain yield and its components is limited. In this study, the objective was to evaluate introgressed maize inbred lines for selected economic traits. Field evaluation was carried out on 122 inbred lines comprising sets of introgressed lines from three selection environments, parental inbred lines and two common checks. Genetic variation was significant (P &lt; 0.05) for all the major economic traits among inbred lines within and across sets. Heritability estimates ranged from low (0.21%) to high (91%) for stalk lodging and silking days, respectively. Comparison of means of inbred lines sets illustrated that environmental effect had influence on grain yield of introgressed lines. Grain yield and ear prolificacy performance across sets also illustrated that introgression of temperate germplasm in tropical elite inbred lines was effective. Spearman&rsquo;s rank correlation analysis on grain yield and ear prolificacy highlighted correlation between selection environments. Correlation among traits demonstrated that grain yield had significant (P &lt; 0.05) positive correlation with plant and ear aspects, plant height, root and stalk lodging, ear prolificacy and grain moisture content at harvest. Further, decomposing of correlation using path coefficient analysis showed significant (P &lt; 0.05), and moderate direct effects of ear prolificacy and plant height on grain yield; indicating that these traits had the highest contribution towards grain yield. Generally indirect effects of secondary traits on grain yield potential of inbred lines was negligible. Therefore, direct selection of plant height and ear prolificacy will be emphasised during introgression of temperate germplasm in tropical elite inbred lines.

scholarly journals Correlation and path coefficient analysis in Giant Taro (Alocasia macrorrhiza L.)

2015 ◽  
Vol 50 (2) ◽  
pp. 117-122 ◽  
Author(s):  
KK Paul ◽  
MA Bari ◽  
SC Debnath
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Residual Effect ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Petiole Length ◽  
Area Index ◽  
Phenotypic Character ◽  
Positive Direct ◽  
Inflorescence Length

Genotypic and phenotypic character associations as well as direct and indirect effects were estimated for eleven characters such as plant height, petiole length, petiole breadth, leaf area index, inflorescence length, spathe length, spathe breadth, corm length, corm breadth, corm weight and yield per plant, in giant taro (Alocasia macrorrhiza L). The results revealed that plant height, LAI, corm length, corm breadth, had positive correlation with yield per plant both at genotypic and phenotypic level. Relatively higher positive and direct effect was found through petiole length, LAI and corm length and yield per plant in genotypic level. The residual effect 0.4762 represent in genotypic level about 53 % of the variability observed for yield per plant was represented by these traits. In the phenotypic level highest and positive direct effect was observed with petiole length and yield per plant. Positive direct effect was also found on yield per plant by plant height, petiole length, inflorescence length, inflorescence number, spathe length and spathe breadth, corm length, corm breadth. The residual effect 0.4235 means that characters included in the present study explained about 58 % variability in yield per plant at phenotypic level.Bangladesh J. Sci. Ind. Res. 50(2), 117-122, 2015

scholarly journals Varietal performance and correlation of okra pod yield and yield components

2016 ◽  
Vol 8 (1) ◽  
pp. 112-125 ◽  
Author(s):  
Dattijo Aminu ◽  
Omolaran Bashir Bello ◽  
Babagana Abba Gambo ◽  
Alafe Hakeem Azeez ◽  
Oludare James Agbolade ◽  
...  
Keyword(s):  
Plant Height ◽  
Yield Components ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Yield Attributes ◽  
Pod Yield ◽  
Dry Seasons ◽  
Pod Length

AbstractField irrigation experiments were conducted to assess the varietal performance and correlation of pod yield and yield attributes under irrigation at the Teaching and Research Farm, University of Maiduguri, Nigeria, during the 2015 and 2016 dry seasons. The results revealed that the most outstanding for fresh pod yield per plant were okra cultivar Kwadag Y’ar gagure Salkade, and Kwadam, in descending order, with yield ranging from 580.38 to 622.67 g, while the Composite cultivar had the lowest value of pod yield of 428.62 g over the two years. The greatest average values for the number of pods per plant and the number of primary branches per plant were observed for Salkade and Y’ar gagure, respectively. Highest fresh pod length and fresh pod diameter were also exhibited for Salkade and Kwadag. The genotypic coefficient of variation was higher than the phenotypic variation for the entire yield-contributing characters. Days to 50% flowering were positive and highly significant differences associated with plant height, number of pods per plant, and fresh weight per pod could be observed. Path coefficient analysis showed that the number of pods per plant exhibited positive and direct influence on the pod yield across the studied years. Indirect influence of other yield components through this character also contributed mainly towards pod yield. Therefore, days to 50% flowering, plant height, pod length, number of pods per plant, pod diameter, number of primary branches per plant, and fresh weight per pod could be taken into consideration for the selection and development of high pod-yielding varieties in okra.

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