Studies on correlation and path analysis in little millet (Panicum sumatrense)

Venkataratnam, T.; Latha, L. Madhavi; Sekhar, M. Reddi; Kumar, Anuj

doi:10.37322/greenfarming/10.6.2019.679-682

Cited by 6 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results suggest that the genotypes within cluster VIII displayed a relatively higher level of diversity among themselves. This finding is consistent with previous reports by Madhavilatha et al (2020), Venkataratnam et al (2019), Sujata et al (2021), Shanmugam et al (2023), Suthediya et al (2021) and Suryanarayana and Sekhar (2018), Negi et al (2017) and Shinde et al (2013) which also demonstrated substantial genetic diversity. Clusters IX, X, XI, XII and XIII had intra cluster distance values of zero because they contained only one genotype each.…”

Section: Discussionsupporting

confidence: 93%

“…Nirmalakumari et al (2010) also reported that days to 50% flowering, plant height, total number of effective tillers per plant and flag leaf breadth were important factors positively associated with single plant grain yield. Anuradha et al (2017) and Venkataratnam et al (2019) found that number of productive tiller and panicle length positively associated with single plant grain yield. In addition, Jyothsna et al (2016) and Naidu et al (2021) found that the number of effective tillers per plant, days to 50% flowering, flag leaf length, panicle length and dry fodder yield per plant were all positively associated with grain yield.…”

Section: Path Analysismentioning

confidence: 99%

See 1 more Smart Citation

Understanding the Genetic Basis of Yield-related Traits in Little Millet (Panicum sumatrense Roth. ex. Roem. and Schultz.) Germplasm through Association and Diversity Analysis

Amaravel¹,

Nirmalakumari²,

Geetha³

et al. 2023

ASD

View full text Add to dashboard Cite

Background: Little millet is an important crop grown by tribal farmers in India. Genetic variability can be exploited to develop new varieties with higher yield. However, yield is complex and depends on multiple interconnected component characters. Diversity analyses, such as D2 analysis, are used to evaluate the diversity among genotypes and determine the traits that contribute the most diversity in a given population. These analyses are crucial for achieving the goal of developing new varieties with increased yield. Methods: In this study, 323 little millet genotypes were evaluated using an Augmented RCBD, focusing on ten quantitative traits. The experiment was conducted during the rabi season of 2020-2021, and good agronomic practices were followed. D square cluster analysis and path analysis were used to analyze the data, with the "R" tool and the "biotools" and "agricolae" packages, respectively. Result: In this study, 323 little millet genotypes classified into thirteen distinct clusters based on Mahalanobis's D2 statistics, reflecting differences in their phenotypic characteristics. The largest cluster (cluster I) included 243 genotypes, while the smallest clusters (Cluster IX, Cluster X, Cluster XI, Cluster XII and Cluster XIII) had only 1 genotype. The inter-cluster distance varied, with the largest value (577.7) between cluster V and XII. This analysis can be useful for identifying desirable genotypes and understanding the population's genetic diversity and structure.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Path Analysismentioning

confidence: 99%

Understanding the Genetic Basis of Yield-related Traits in Little Millet (Panicum sumatrense Roth. ex. Roem. and Schultz.) Germplasm through Association and Diversity Analysis

Amaravel¹,

Nirmalakumari²,

Geetha³

et al. 2023

ASD

View full text Add to dashboard Cite

show abstract

“…Flag leaf width had high positive indirect effect on grain yield per plant through plant height, number branches per panicle and flag leaf length and had a moderate effect through panicle length. The direct and indirect association of these traits were also reported by Venkataratnam et al (2019b) and Suryanarayana and Sekhar (2018b). Thus, the traits, number of branches per panicle, flag leaf length, panicle length, number of basal tiller and flag leaf width were observed to have a major influence on grain yield per plant through direct and indirect parameters.…”

Section: Resultssupporting

confidence: 67%

Characterization of little millet (Panicum sumatrense Roth. ex. Roem. and Schultz) landraces and varieties for genetic diversity and association of traits

2023

EJPB

View full text Add to dashboard Cite

Little millet is one of the least explored small millets and has several nutritional benefits with features of climate resilience. In this study, seventeen little millet landraces and varieties were characterized for eleven quantitative and six qualitative traits. The diversity of the accessions for quantitative traits with major contributors as 1000 seed weight and plant height grouped the genotypes into five clusters. Five genotypes each were grouped under cluster III and cluster V. The maximum inter cluster distance was found between cluster I and cluster II. Subsequently, cluster I had higher desirable mean for plant height, number of basal tillers, panicle length, number of branches per panicle and grain yield per plant while cluster III had early flowering. The qualitative traits viz., grain colour, panicle compactness and pigmentation of leaf sheath were also highly variable in the present material and were grouped into six clusters based on these traits. Hence, these highly variable qualitative traits could be employed as major indicators in the identification of these landraces. In addition, out of the fourteen traits, five traits viz., number of branches per panicle, panicle length, flag leaf length, flag leaf width and number of basal tillers, exhibited significant influence on yield through direct and indirect effects. Thus, these traits could be used as effective selection indicators for improving the yield parameters in little millet.

show abstract

“…In addition, the significant correlations between these component traits suggest the possibility of simultaneous improvement of these traits by simple selection. These results are in accordance with findings of Venkataratnam et al (2019) for number of productive tillers, plant height and days to 50% flowering. DFF=Days to 50% flowering, DM=Days to maturity , PH=Plant height (cm) , TILLERS=Number of productive tillers per plant , BPP=Number of branches per panicle , PL=Panicle length (cm) , CL=Culm length (cm) , CD=Culm diameter (cm) , FLL=Flag leaf length (cm) , FLB=Flag leaf breadth (cm) , TW=1000 seed weight (g) , HI=Harvest Index , GYP=Grain yield per plant (g).…”

supporting

confidence: 92%

Genetic variability and character associations for grain yield and other secondary traits in little millet (Panicum sumatrense L.) at Eastern Ghats Zone of Odisha

2024

EJPB

View full text Add to dashboard Cite

A set of thirty genotypes of little millet were studied using thirteen morphological traits to assess genetic variability, character association and their effects on grain yield during Kharif 2022 at Centurion University, Paralakhemundi, Odisha in a randomized block design with three replications. Analysis of variation revealed significant (p≤0.01) variation in the studied genotypes for all the traits recorded. The characters viz., number of productive tillers, test weight and grain yield had high genotypic (GCV) and phenotypic coefficient of variation (PCV) whereas characters viz., number of productive tillers, number of braches per panicle, culm length, culm diameter, test weight and grain yield had high genetic advance coupled with high heritability. Most of the traits except days to 50% flowering, days to maturity and flag leaf length showed strong significant (p≤0.01) positive associations with grain yield at genotypic and phenotypic levels. The traits such as plant height, number of productive tillers, culm length, test weight, flag leaf length and breadth recorded positive direct effect on grain yield that indicates direct improvement of these traits could be beneficial for the improvement of little millet cultivars with higher grain yield.

show abstract

Studies on correlation and path analysis in little millet (Panicum sumatrense)

Cited by 6 publications

References 0 publications

Understanding the Genetic Basis of Yield-related Traits in Little Millet (Panicum sumatrense Roth. ex. Roem. and Schultz.) Germplasm through Association and Diversity Analysis

Understanding the Genetic Basis of Yield-related Traits in Little Millet (Panicum sumatrense Roth. ex. Roem. and Schultz.) Germplasm through Association and Diversity Analysis

Characterization of little millet (Panicum sumatrense Roth. ex. Roem. and Schultz) landraces and varieties for genetic diversity and association of traits

Genetic variability and character associations for grain yield and other secondary traits in little millet (Panicum sumatrense L.) at Eastern Ghats Zone of Odisha

Contact Info

Product

Resources

About