Journal of Horticultural Sciences

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Compositional Nutrient Diagnosis (CND) Norms and Indices for Potato (Solanum tuberosum L.)


Affiliations
1 ICAR-Indian Institute of Horticultural Research, Bengaluru - 560 089, India
2 ICAR-Central Potato Research Institute, Shimla, India
 

A survey was conducted in potato fields for collection of leaf samples to establish nutrient concentration yield data bank. The data bank was used for developing multivariate compositional nutrient diagnosis (CND) norms for assessing the nutritional status of selected centres of potato growing fields. The mean N, P and K concentrations were 2.09, 0.25 and 4.16 %, respectively. The mean Ca (1.11%) concentration was twice higher compared to Mg (0.63 %) concentration. The mean values of Zn, Cu, Fe, Mn and B were 43.69, 31.24, 986.71, 192.76 and 59.98 ppm, respectively. The CND norms for VN, VP and VK were 3.04, 0.94 and 3.73, respectively. The norm for Ca (VCa=2.45) and Mg (VMg=1.78) were much narrower compared to the absolute nutrient concentration. The norm for VZn, VCu, VFe, VMn and VB were -3.24, -3.60, -0.23, -1.98 and -2.89respectively. The multivariate CND norms developed for ten nutrients proved to be an important tool for diagnosis of nutrient imbalance in potato. The nutrient indices developed indicated that Zn was the most common yield-limiting nutrient. The CND norms and the indices developed can be used for identifying the hidden hunger of various nutrients in potato for evolving nutrient management strategies.

Keywords

CND Norms, Nutrients and Potato.
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  • Anonymous, 2017. Agricultural statistics at a glance. Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare, Government of India, New Delhi. pp230.

  • Anjaneyulu, K. 2007. Diagnostic petiole nutrient norms and identification of yield limiting nutrients in papaya (Carica papaya.) using diagnosis and recommendation integrated system. Indian J. Agri. Sci., 77(11): 711-714.

  • Anjaneyulu, K., Raghupathi, H. B. and Chandraprakash, M. K. 2008. Compositional nutrient diagnosis norms (CND) for guava (Psidium guajava L.). J. Hortl. Sci., 3(2): 132-135.

  • Anjaneyulu, K. and Raghupathi, H. B. 2010. CND and PCA approaches for multivariate diagnosis of nutrient imbalance in papaya (Carica papaya L.). Proc. IInd IS on Papaya. pp363-368.

  • FAO, 2019.Food and Agricultural Organization, FAOSTAT-http:/www.fao.com.

  • Gopalakrishnan, T. R. 2007. Vegetable crops. New India Publishing Agency, PitamPura, New Delhi. pp265.

  • Jackson, M. L., 1973. Soil Chemical analysis. Prentice Hall of India (Pvt.) Ltd., New Delhi, pp408. Jones and Case, 1990. Hand book of reference methods for plant analysis. Soil and Plant Analysis Council, Inc., 10:42-46.

  • Jones, J. B. Jr., 1991. Plant tissue analysis in micronutrients. In Micronutrient in Agriculture (Morvedt, J. J., Cox, F. R., Shuman, L. M. and Welch, R. M., (Eds). Soil Sci. Soc. America, Madison, USA. pp477-521.

  • Khiari, L., Parent, L. E. and Tremblay, N. 2001. Selecting the high yield sub-population for diagnosing nutrient imbalance in crops. Agron. J., 93: 802-808.

  • Parent, L. E. and Dafir, M., 1992. A theoretical concept of compositional nutrient diagnosis. J. Amer. Soc. Hort. Sci., 117(2): 239-242.

  • Parent, L. E., Cambouris, A. N. and Muhawenimana, A., 1994. Multivariate diagnosis of nutrient imbalance in potato crops. Soil Sci. Soc. Amer. J., 58: 1432-1438.

  • Piper, C. S., 1966.Soil and Plant Analysis. Hans Publishers. Bombay Raghupathi, H. B., Reddy, B.M.C. and Srinivas, K., 2002. Multivariate diagnosis of nutrient imbalance in banana. Comm. Soil Sci. Plant Anal. 33(13 & 14): 2131-2143.

  • Tisdale, S. L., Nelson, W. L., Beaton, J. D. and Havlin, J. L., 1997. Soil fertility and fertilizers (fifth edition), Second Indian reprint, Prentice Hall of India Ltd., New Delhi.

  • Vijaykumar, C. 2010. Effect of sources and time of fertilizer application on uptake, growth and yield of potato under rainfed condition in Hassan District. M.Sc. thesis submitted to UAS, Bangalore.

  • Walworth, J. L. and Sumner, M. E., 1987. The diagnosis and recommendation integrated system (DRIS). Adv. Soil Sci., 6: 149-188.


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  • Compositional Nutrient Diagnosis (CND) Norms and Indices for Potato (Solanum tuberosum L.)

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Authors

A. N. Ganeshamurthy
ICAR-Indian Institute of Horticultural Research, Bengaluru - 560 089, India
P. Govindakrishnan
ICAR-Central Potato Research Institute, Shimla, India
H. B. Raghupathi
ICAR-Indian Institute of Horticultural Research, Bengaluru - 560 089, India
M. B. Mahendra Kumar
ICAR-Indian Institute of Horticultural Research, Bengaluru - 560 089, India

Abstract


A survey was conducted in potato fields for collection of leaf samples to establish nutrient concentration yield data bank. The data bank was used for developing multivariate compositional nutrient diagnosis (CND) norms for assessing the nutritional status of selected centres of potato growing fields. The mean N, P and K concentrations were 2.09, 0.25 and 4.16 %, respectively. The mean Ca (1.11%) concentration was twice higher compared to Mg (0.63 %) concentration. The mean values of Zn, Cu, Fe, Mn and B were 43.69, 31.24, 986.71, 192.76 and 59.98 ppm, respectively. The CND norms for VN, VP and VK were 3.04, 0.94 and 3.73, respectively. The norm for Ca (VCa=2.45) and Mg (VMg=1.78) were much narrower compared to the absolute nutrient concentration. The norm for VZn, VCu, VFe, VMn and VB were -3.24, -3.60, -0.23, -1.98 and -2.89respectively. The multivariate CND norms developed for ten nutrients proved to be an important tool for diagnosis of nutrient imbalance in potato. The nutrient indices developed indicated that Zn was the most common yield-limiting nutrient. The CND norms and the indices developed can be used for identifying the hidden hunger of various nutrients in potato for evolving nutrient management strategies.

Keywords


CND Norms, Nutrients and Potato.

References