Diversity in Bread Wheat genotypes (Triticum aestivum L.) deciphered by Multivariate Biplot analysis

Author: Divya Phougat and Ajay Verma*

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Abstract

Assessment of diversity by multivariate biplot analysis has been established as prerequisite in any breeding program. Twenty seven wheat genotypes were evaluated at research farm of CCSHAU to assess the relative contribution of morphological and nutritional traits to the total variation in yield. Large values had observed for days to maturity, plant height, tillers per meter along with small values for protein contents, spike length, biological yield per plant traits. Maximum range exhibited by plant height, spikelets per spike, and tillers per meter whereas biological yield per plant, protein contents, harvest index achieved minimum range. Iron and Zinc contents showed more variations as observed by points corresponding to values expressed in radar chart. One genotype expressed largest value of spikelets per spike that may be an outlier for this set of genoypes. Number grians per ear exhinited more of variatons in values followed by grian yield per plant for studied genotypes. Traits

Keywords

Diversity descriptive, correlation coefficient, Multivariate clustering, Biplot analysis

Conclusion

Grain yield and nutritive values had a positive correlation with number of tillers per plant, flag leaf area, plant height, ear length, grain weight per ear and thousand grain weight. Simultaneous selection diverse genotypes possessing morphological and nutritional traits will improve the grain quality and yield of wheat to sustain the nutritional security of Indian population.

References

INTRODUCTION Wheat, an important staple food crop, is preferred over rice and maize as a source of protein in low and middle income nations (Lakra et al., 2020). Being the staple food crop of many countries with diverse climatic conditions, wheat varieties must have enough variability to tolerate to pests, pathogens and abiotic stresses (Ali et al., 2021). Assessment of diversity is prerequisite in any breeding program as magnitude of the variability of collection is an indispensable assist for rice improvement strategies. Multivariate analyses such as cluster and principal component analysis measures the amount of genetic diversity in respect of several characters and assesses the relative contribution of morphological traits to the total variation in yield. Regular studies of diversity being conducted by breeders to evaluate and utilize the diversity of breeding germplasm, also to determine the uniqueness and distinctiveness among genotypes to safe guard a breeders intellectual pr

How to cite this article

Divya Phougat and Ajay Verma (2022). Diversity in Bread Wheat genotypes (Triticum aestivum L.) deciphered by Multivariate Biplot analysis. Biological Forum – An International Journal, 14(1): 1610-1616.