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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 53 issue 3 (june 2019) : 353-357,   Doi: 10.18805/IJARe.A-5042

Principal component (PCA) and cluster analyses for plant nutrient traits in baby corn (Zea mays L.)

P
P. Magudeeswari
E
E.V. Divakara Sastry
T
Th. Renuka Devi
1Department of Genetics and Plant Breeding, College of Agriculture, Central Agricultural University, Imphal-795 004, Manipur, India.
Cite article:- Magudeeswari P., Sastry Divakara E.V., Devi Renuka Th. (2019). Principal component (PCA) and cluster analyses for plant nutrient traits in baby corn (Zea mays L.). Indian Journal of Agricultural Research. 53(3): 353-357. doi: 10.18805/IJARe.A-5042.

ABSTRACT

The present study was conducted to evaluate the plant nutrient traits in 12 baby corn genotypes by using Principal component analysis and cluster analysis during rabi 2017. Analysis of variance depicted the genotypes differed significantly among themselves for all the traits except sugar content.  Variability studies revealed that PCV was observed maximum for all the traits. Maximum GCV and PCV were recorded for yield without husk followed by iron content and sugar content. Medium heritability was observed for all the traits except sugar content. Calcium content and iron content was recorded for highest genetic advance.  Principal component analysis revealed that the first three principal components together accounted for 87.49 % of variability. The principal components (PC1, PC2) were highly positively influenced by sugar and iron contents, respectively. PC3 was negatively influenced by yield without husk. The 12 genotypes were grouped into three distinct clusters. The cluster-I were the largest cluster comprising of five genotypes and followed by Cluster-II (4 genotypes) and cluster-III (3 genotypes). The genotypes in cluster-I has higher iron content and yield without husk, while the genotypes in cluster-II having higher potassium, phosphorous and calcium contents. The genotypes in cluster-III exhibiting higher means for sugar and phosphorous contents.

REFERENCES

  1. Anonymous, http://www.weightlossresources.co.uk/calories-in-food/veg/baby-corn. html,2016 a.
  2. Anonymous, Maize as fodder, As an alternative approach, Directorate of Maize Research, ICAR, p. 3-4, 2016b.
  3. Bhanupriya, Das, B., Satyanarayana, N.H., Mukherjee, S. and Sarkar, K.K. (2014). Genetic diversity of wheat based on principal component analysis in gangetic alluvial soil of west Bengal. J. Crop and Weed, 10(2): 104-107.
  4. Dass, S., Asha Kwatra, Dharam Pal, Yadav,V.K., Sujay Rakshit,. Singh ,R.P., Santosh Huda., et. al., 2007). Baby Corn in India, Directorate of Maize Research Publishing Co, Pusa campus, New Delhi, pp. 1-2.
  5. Engineers India Research Institute. Baby corn (Manual). http://mpagro.org/wp-content/uploads/2017/03/DFR0394.DOC.pdf accessed on Saturday, 19 May 2018.
  6. Gupta, P.K. (2000). “Soil, Plant, Water and Fertilizer Analysis,” Agrobios, New Delhi. : 264-279.
  7. Johnson, H.F, Robinson and Comstock R.E. (1955). Genotypic and phenotypic correlation in soyabean and their implication in selection. Agron. J., 47: 477-483.
  8. Lewis, G., and Lisle, A. (1998). Towards better canola yield: a principal components analysis approach. Proceedings of the 9th Australian Agronomy Conference. Wagga Wagga, New South Wales, Australia.New York.
  9. Rencher,A.C. (2002). Methods of Multivariate Analysis. 2nd edition. Wiley –Interscience. 
  10. Sharma, J.R. (1998). Statistical and biometrical techniques in plant breeding. New Age International, New Delhi.
  11. Shobha, D., Sreeramasetty, T.A., Puttaramanaik, and Pandurange Gowda, K.T. (2010). Evaluation of maize genotypes for physical and chemical composition at silky and hard stage. Karnataka J. Agric. Sci., 23 (2) : 311-314.
  12. Singh, L., Dubey, G.K., Singh, H.C. and Singh, P. (2006). Biochemical evaluation of some genotype/varieties of baby corn for table purposes. Indian Journal of Agricultural Biochemistry 19(2):81-83.
  13. Venkatesh, S., Sekhar, J. C. and Sujay Rakshit.( 2003). Baby corn, Speciality corn technical series III, Directorate of Maize Research, Publishing Co., Pusa, New Delhi, pp. 1-4. 
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Indian Journal of Agricultural Research
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    Research Article

    volume 53 issue 3 (june 2019) : 353-357,   Doi: 10.18805/IJARe.A-5042

    Principal component (PCA) and cluster analyses for plant nutrient traits in baby corn (Zea mays L.)

    P
    P. Magudeeswari
    E
    E.V. Divakara Sastry
    T
    Th. Renuka Devi
    1Department of Genetics and Plant Breeding, College of Agriculture, Central Agricultural University, Imphal-795 004, Manipur, India.
    Cite article:- Magudeeswari P., Sastry Divakara E.V., Devi Renuka Th. (2019). Principal component (PCA) and cluster analyses for plant nutrient traits in baby corn (Zea mays L.). Indian Journal of Agricultural Research. 53(3): 353-357. doi: 10.18805/IJARe.A-5042.

    ABSTRACT

    The present study was conducted to evaluate the plant nutrient traits in 12 baby corn genotypes by using Principal component analysis and cluster analysis during rabi 2017. Analysis of variance depicted the genotypes differed significantly among themselves for all the traits except sugar content.  Variability studies revealed that PCV was observed maximum for all the traits. Maximum GCV and PCV were recorded for yield without husk followed by iron content and sugar content. Medium heritability was observed for all the traits except sugar content. Calcium content and iron content was recorded for highest genetic advance.  Principal component analysis revealed that the first three principal components together accounted for 87.49 % of variability. The principal components (PC1, PC2) were highly positively influenced by sugar and iron contents, respectively. PC3 was negatively influenced by yield without husk. The 12 genotypes were grouped into three distinct clusters. The cluster-I were the largest cluster comprising of five genotypes and followed by Cluster-II (4 genotypes) and cluster-III (3 genotypes). The genotypes in cluster-I has higher iron content and yield without husk, while the genotypes in cluster-II having higher potassium, phosphorous and calcium contents. The genotypes in cluster-III exhibiting higher means for sugar and phosphorous contents.

    REFERENCES

    1. Anonymous, http://www.weightlossresources.co.uk/calories-in-food/veg/baby-corn. html,2016 a.
    2. Anonymous, Maize as fodder, As an alternative approach, Directorate of Maize Research, ICAR, p. 3-4, 2016b.
    3. Bhanupriya, Das, B., Satyanarayana, N.H., Mukherjee, S. and Sarkar, K.K. (2014). Genetic diversity of wheat based on principal component analysis in gangetic alluvial soil of west Bengal. J. Crop and Weed, 10(2): 104-107.
    4. Dass, S., Asha Kwatra, Dharam Pal, Yadav,V.K., Sujay Rakshit,. Singh ,R.P., Santosh Huda., et. al., 2007). Baby Corn in India, Directorate of Maize Research Publishing Co, Pusa campus, New Delhi, pp. 1-2.
    5. Engineers India Research Institute. Baby corn (Manual). http://mpagro.org/wp-content/uploads/2017/03/DFR0394.DOC.pdf accessed on Saturday, 19 May 2018.
    6. Gupta, P.K. (2000). “Soil, Plant, Water and Fertilizer Analysis,” Agrobios, New Delhi. : 264-279.
    7. Johnson, H.F, Robinson and Comstock R.E. (1955). Genotypic and phenotypic correlation in soyabean and their implication in selection. Agron. J., 47: 477-483.
    8. Lewis, G., and Lisle, A. (1998). Towards better canola yield: a principal components analysis approach. Proceedings of the 9th Australian Agronomy Conference. Wagga Wagga, New South Wales, Australia.New York.
    9. Rencher,A.C. (2002). Methods of Multivariate Analysis. 2nd edition. Wiley –Interscience. 
    10. Sharma, J.R. (1998). Statistical and biometrical techniques in plant breeding. New Age International, New Delhi.
    11. Shobha, D., Sreeramasetty, T.A., Puttaramanaik, and Pandurange Gowda, K.T. (2010). Evaluation of maize genotypes for physical and chemical composition at silky and hard stage. Karnataka J. Agric. Sci., 23 (2) : 311-314.
    12. Singh, L., Dubey, G.K., Singh, H.C. and Singh, P. (2006). Biochemical evaluation of some genotype/varieties of baby corn for table purposes. Indian Journal of Agricultural Biochemistry 19(2):81-83.
    13. Venkatesh, S., Sekhar, J. C. and Sujay Rakshit.( 2003). Baby corn, Speciality corn technical series III, Directorate of Maize Research, Publishing Co., Pusa, New Delhi, pp. 1-4. 
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