Correlation and path analysis studies in finger millet for yield and yield contributing traits (Eleusine coracana L. Gaertn)

Fonio is an ancient orphan cereal, cultivated by resource-poor farmers in arid and semi-arid regions of West Africa, who conserved and used the cereal for nutrition and income generation. However, the extent and patterns of phenotypic variation within the fonio germplasm remain scarcely evaluated to inform breeding decisions. In this study, we used alpha lattice design to assess the phenotypic variability of 180 fonio accessions using 20 agro morphological descriptors, including both qualitative and quantitative traits at Bengou research station in 2018 and 2019. Descriptive statistics, combined analysis and multivariate analyses, including principal components analysis (PCA), hierarchical clustering, and multiple factor analysis (MFA) were performed. As results, we found significant differences among fonio accessions and among agro ecological zones of provenance for most of the quantitative traits. Furthermore, highly significant positive correlations were found between grain yield and other yield-related attributes such as harvest index and thousand seeds weight, whereas significant negative correlations were found between grain yield and flowering and maturity times. Clusters analysis revealed three phenotypic groups. Group 1 was characterized by early maturing fonio accessions with higher grain yield. Groups 2 and 3 were characterized by late maturing accessions with intermediate to moderate grain yield. The accessions from Group 1 are candidate for yield improvement and development of fonio lines with enhanced lodging resistance. Accessions from Group 2 and 3 can be improved for yield through marker-assisted selection of best thousand seed weight. This study highlights how traits are correlated within the major phenotypic groups of fonio in West Africa, and we discussed how these groups could be further exploited for improving traits of economic importance. Furthermore, this study exhibited agro morphological descriptors that discriminate fonio accessions and provide useful information for parental selection with economically important agronomic traits.

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Correlation Analysis Between Morphological, Physiological and Yield Traits Under Salinity Stress Condition in Wheat (Triticum Aestivum L.) Genotypes

Gandahi

Baloch²,

Sarki

et al. 2021

PJAAEVS

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Salinity is one of the key factors reducing the plant growth and productivity of major crops including wheat. However, identifying the multiple genetic parameters associated with salt tolerance during different growth stages is critical for the evaluation and enhancement of wheat genotypes. In this context, a field experiment in non-saline and saline soil was carried out for correlation analysis of 17 morphological, physiological and yield traits in 22 genotypes of wheat. The experiment was carried out at experimental field of NIA, Tandojam during 2018-2019 in a Randomized Complete Block Design (RCBD) with three replications and two treatments (non-saline soil and salinity level of 12 dS m-1). The obtained mean squares showed significant differences among the tested genotypes for all the studied characters, reflecting that there are abundant genetic variations present in these wheat genetic resources for further utilization in wheat improvement programs. The correlation analysis demonstrated that a variety of characters, including spike length (non-saline r = 0.59**; salinity r = 0.37*), spikelets spike-1 (non-saline r = 0.49**; salinity r = 0.46**), grains spike-1 (non-saline r = 0.49**; salinity r = 0.43**), biological yield plot-1 (non-saline r = 0.56**; salinity r = 0.70**), harvest index (non-saline r = 0.24*; salinity r = 0.26*), relative water content (non-saline r = 0.53**; salinity r = 0.50**), seed index (non-saline r = 0.29*; salinity r = 0.52**) and K+ (non-saline r = 0.28*; salinity r = 0.32**) showed positive and significant associations with grain yield plot-1 in non-saline and salinity stress conditions. The results suggest that these above-mentioned characters may be set as selection criteria in breeding study to improve wheat genotypes for high yielding under saline filed conditions.

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Correlation and path analysis studies in finger millet for yield and yield contributing traits (Eleusine coracana L. Gaertn)

Cited by 4 publications

References 4 publications

Optimum LAI for Yield Maximisation of Finger Millet under Irrigated Conditions

Optimum LAI for Yield Maximisation of Finger Millet under Irrigated Conditions

Agromorphological Characterization Revealed Three Phenotypic Groups in a Region-Wide Germplasm of Fonio (Digitaria exilis (Kippist) Stapf) from West Africa

Correlation Analysis Between Morphological, Physiological and Yield Traits Under Salinity Stress Condition in Wheat (Triticum Aestivum L.) Genotypes

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