Evaluation of rapeseed-mustard cultivars under late sown condition in coastal ecosystem of West Bengal
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Abstract
In our present report, we evaluated seven rapeseed mustard cultivars at coastal saline zone of West Bengal, India under rice-mustard sequence in a triplicated randomized block design for 14 traits to study their performance under late sown (2nd December) condition. The cultivars were sown at 30 cm × 10 cm spacing during winter of 2013?14 and 2014?15. The soil was clay in texture and had the following key properties for the 0?30 cm layer: pH 5.84, electrical conductivity (EC) 1.55 dS/m, available nitrogen (N) 155.24 kg/ha, available phosphorus (P) 105.76 kg/ha, available potassium (K) 365.86 kg/ha and available B 2.63 kg/ha. Among the seven cultivars, Kranti produced significantly (p?0.05) higher seed yield (1.33 t/ha) closely followed by the hybrids PAC-409 (1.23 t/ha) and Pusa Bold (1.21 t/ha). Seed yield showed significant (p?0.05) positive correlation with all the independent variables (plant height, R2=0.88; dry matter, R2=0.42; days to 50 % flowering, R2=0.27; number of siliqua/plant, R2=0.38; seeds/siliqua, R2=0.48; except number of fertile plants/m2, R2=-0.06; number of secondary branches/plant, R2=-0.97 and length of siliqua, R2=-0.07). However, number of secondary branches/plant had significant (p?0.05) and negative correlation with seed yield of mustard (R2=-0.97). Plant height revealed the highest degree of correlation (R2=0.88) with seed yield followed by siliqua per main branch (R2=0.77), days to harvest (R2=0.75) and 1000-seed weight (R2=0.52). The results indicated that selection of suitable rapeseed mustard cultivars based on these traits would be more effective in improving seed yield in mustard.
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Keywords
Correlation, Path coefficient analysis, Saline soil, Seed yield
References
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Berger, K. C. and Truog, E. (1939). Boron determination in soils and plants. Industrial and Engineering Chemistry, Analytical Edition, 11: 540–545
Biniam, M. G., Githiri, S. M., Tadesse, M., and Kasili, R. W. (2015). Analysis of diversity among potato accessions grown in Eritrea using single linkage clustering. Am. J. Plant Sci., 6: 2122?2127
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De, B., Das, B., Das, B. and Sinha, A. C. (2014). Effect of integrated nutrient management on yield, nutrient uptake and economics of rapeseed (Brassica campestris var. yellow sarson) in terai region of West Bengal. J Crop and Weed, 10(1): 69?72
Directorate of Agriculture. (2015). Economic Review, Statistical Appendix 2014?15, Directorate of Agriculture, Government of West Bengal, Kolkata, India.
Duncan, D.B. (1995) Multiple range and multiple F tests, Biometrics, 11: 1–42
Economic Review. (2015). Statistical Appendix. Department of Statistics and Programme Implementation. Government of West Bengal, India, Pp. 65
Gangapur, D. R., Prakash, B. G., Salimath, P. M., Ravikumar R. L. and Rao M. S. L. (2009). Correlation and path analysis in Indian mustard (Brassica juncea L. Czern and Coss). Karnataka J. Agric. Sci., 22(5): 971?977
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Hassan, S. M. F., Iqbal, M. S., Rabbani, G., Naeem-ud-Din, Shabbir, G., Riaz, M. and Noorka, I. R. (2013). Correlation and path analysis for yield and yield components in sunflower (Helianthus annus L.). African J. Biotech., 12(16): 1968?1971
Lodhi, B., Thakral, N. K., Avtar, R. and Singh, A. (2014). Genetic variability, association and path analysis in Indian mustard (Brassica juncea). J. Oilseed Brassica, 5(1): 26?31
Mandal, K. G. and Sinha, A. C. (2004). Nutrient Management Effects on Light Interception, Photosynthesis, Growth, Dry matter Production and Yield of Indian Mustard (Brassica juncea). J. Agronomy and Crop Science 190(2): 119-129
Mashilo, J., Shimelis, H. and Odindo, A. (2016). Correlation and path coefficient analysis of qualitative and quantitative traits in selected bottle gourd landraces. Acta Agr. Scand. B-S-P., 66(7): 558?569
Mishra, J. S., Thakur, N. S., Singh, P., Kubsad, V. S., Kalpana, R., Alse, U. N. and Nemade, S. M. (2014). Tillage and integrated nutrient management in rainy-season grain sorghum (Sorghum bicolor). Indian J. Agron., 59(4): 619?623
Pandey, S and Singh, Basudeo. (2005). Inter character association and path analysis in Indian mustard [Brassica juncea (L.) Czern. & Coss.]. Adv. Plant Sci., 18: 511-514
Ramanjaneyulu, A. V. and Giri, G., (2007). Correlation and path coefficient analysis in Indian mustard [Brassica juncea (L.) Czern & Coss]. The J. Res. ANGRAU, 35: 107?110
Rathore, S. S., Shekhawat, K., Meena, A. and Singh, D. (2015). Growth, productivity and economics of coral-432 (Indian mustard hybrid) under different cropping systems. J. Oilseed Brassica, 6(1): 202-208
Ray, K, Sengupta, K., Pal, A. K. and Banerjee, H. (2015). Effects of sulphur fertilization on yield, S uptake and quality of Indian mustard under varied irrigation regimes. Plant Soil Environ., 61(1): 6?10
Ray, K., Banerjee, H., Paul, T. and Das, T. K. (2016). Irrigation and sulphur fertilization effects on the productivity, profitability and greenhouse gases emissions in Indian mustard. Exp. Agr., 52(3): 434?446
Ray, K., Dutta, J., Banerjee, H., Biswas, R., Phonglosa, A. and Pari, A. (2014a). Identification of principal yield attributing traits of Indian mustard [Brassica juncea (L.) Czernj and Cosson] using multivariate analysis. The Bioscan 9(2): 803?809
Ray, K., Pal, A. K., Banerjee, H. and Phonglosa, A. (2014b). Correlation and path analysis studies for growth and yield contributing traits in Indian mustard (Brassica juncea L.). Int. J. Bio-resource and Stress Manage., 5(2): 200?206
Samonte, S. O. P. B., Wilson, L. T. and McClung, A. M. (1998). Path analysis of yield and yield related traits of fifteen diverse rice genotypes. Crop Sci., 38: 1130–1136
SAS Institute. (2011). The SAS System for Windows. Release 9.3. SAS Institute, Cary, NC.
Scheiner, S. M., Mitchell R. J. and Callahan, H. S., (2000). Using path analysis to measure natural selection. Journal of Evolutionary Biology, 13: 423–433
Shah, M. S., Verma, N. and Vishwkarma, S. K. (2015). Diversification of rice (Oryza sativa)-based cropping system for higher production efficiency, water productivity and economic viability in Madhya Pradesh. Indian J. Agron., 60(1): 5?30
Shekhawat, N., Jadeja, G. C., Singh J. and Shekhawat, R. S. (2014). Character Association Studies Among Yield And Its Component Characters in Indian Mustard (Brassica juncea L. Czern & Coss). The Bioscan. 9(2): 685-688
Sheoran, O. P., Tonk, D. S., Kaushik, L. S., Hasija, R. C. and Pannu, R. S. (1998). Statistical Software Package for Agricultural Research Workers. Recent Advances in information theory, Statistics & Computer Applications (Eds. D. S. Hooda and R. C. Hasija). Department of Mathematics Statistics, CCS HAU, Hissar. Pp. 139?143
Sheoran, P., Sardana, V. and Singh, R. (2014). Evaluating productivity potential of spring planted sunflower (Helianthus annuus) hybrids in response to sowing time under changing climate scenario. Indian J. Agron., 59(1): 124?132
Shimelis, H. and Hugo, A. (2011). Determination of selection criteria for seed yield and seed oil content in Vernonia (Vernonia galamensis variety ethiopica). Ind. Crop. Prod., 33: 436?439
Singh, M., Srivastava, R. L., Prasad, L. and Dixit, R. K. (2003). Correlation and path analysis in Indian mustard [Brassica juncea (L.) Czern & Coss]. Adv. Plant Sci., 16: 311?315
Singh, R. K., Singh, Y., Singh, A. K., Kumar, R. and Singh, V. K. (2010). Productivity and economics of mustard (Brassica juncea) varieties as influenced by different fertility levels under late sown condition. Indian J. of Soil Conservation. 38(2): 121-124
Verma, R., Sharma, R. and Sharma, S. K. (2008). Association studies among yield and its component characters in Indian mustard [Brassica juncea (L.) Czern & Coss]. Indian J. Genet. Plant Breed., 68: 87?89
Berger, K. C. and Truog, E. (1939). Boron determination in soils and plants. Industrial and Engineering Chemistry, Analytical Edition, 11: 540–545
Biniam, M. G., Githiri, S. M., Tadesse, M., and Kasili, R. W. (2015). Analysis of diversity among potato accessions grown in Eritrea using single linkage clustering. Am. J. Plant Sci., 6: 2122?2127
Crop Production Statistics Information System. (2016). Special Data Dissemination Standard Division, Directorate of Economics & Statistics, Ministry of Agriculture and Farmers Welfare, Govt. of India, New Delhi. Available from URL: (http://aps.dac.gov.in/APY/Index.htm). Accessed on 11 August 2016.
De, B., Das, B., Das, B. and Sinha, A. C. (2014). Effect of integrated nutrient management on yield, nutrient uptake and economics of rapeseed (Brassica campestris var. yellow sarson) in terai region of West Bengal. J Crop and Weed, 10(1): 69?72
Directorate of Agriculture. (2015). Economic Review, Statistical Appendix 2014?15, Directorate of Agriculture, Government of West Bengal, Kolkata, India.
Duncan, D.B. (1995) Multiple range and multiple F tests, Biometrics, 11: 1–42
Economic Review. (2015). Statistical Appendix. Department of Statistics and Programme Implementation. Government of West Bengal, India, Pp. 65
Gangapur, D. R., Prakash, B. G., Salimath, P. M., Ravikumar R. L. and Rao M. S. L. (2009). Correlation and path analysis in Indian mustard (Brassica juncea L. Czern and Coss). Karnataka J. Agric. Sci., 22(5): 971?977
Hasan, E. U., Mustafa, H. S. B., Bibi, T. and Mahmood, T. (2014). Genetic Variability, Correlation And Path Analysis in Advanced Lines of Rapeseed (Brassica napus L.) for Yield Components. Cercet?ri Agronomice în Moldova, 47(1): 71?79
Hassan, S. M. F., Iqbal, M. S., Rabbani, G., Naeem-ud-Din, Shabbir, G., Riaz, M. and Noorka, I. R. (2013). Correlation and path analysis for yield and yield components in sunflower (Helianthus annus L.). African J. Biotech., 12(16): 1968?1971
Lodhi, B., Thakral, N. K., Avtar, R. and Singh, A. (2014). Genetic variability, association and path analysis in Indian mustard (Brassica juncea). J. Oilseed Brassica, 5(1): 26?31
Mandal, K. G. and Sinha, A. C. (2004). Nutrient Management Effects on Light Interception, Photosynthesis, Growth, Dry matter Production and Yield of Indian Mustard (Brassica juncea). J. Agronomy and Crop Science 190(2): 119-129
Mashilo, J., Shimelis, H. and Odindo, A. (2016). Correlation and path coefficient analysis of qualitative and quantitative traits in selected bottle gourd landraces. Acta Agr. Scand. B-S-P., 66(7): 558?569
Mishra, J. S., Thakur, N. S., Singh, P., Kubsad, V. S., Kalpana, R., Alse, U. N. and Nemade, S. M. (2014). Tillage and integrated nutrient management in rainy-season grain sorghum (Sorghum bicolor). Indian J. Agron., 59(4): 619?623
Pandey, S and Singh, Basudeo. (2005). Inter character association and path analysis in Indian mustard [Brassica juncea (L.) Czern. & Coss.]. Adv. Plant Sci., 18: 511-514
Ramanjaneyulu, A. V. and Giri, G., (2007). Correlation and path coefficient analysis in Indian mustard [Brassica juncea (L.) Czern & Coss]. The J. Res. ANGRAU, 35: 107?110
Rathore, S. S., Shekhawat, K., Meena, A. and Singh, D. (2015). Growth, productivity and economics of coral-432 (Indian mustard hybrid) under different cropping systems. J. Oilseed Brassica, 6(1): 202-208
Ray, K, Sengupta, K., Pal, A. K. and Banerjee, H. (2015). Effects of sulphur fertilization on yield, S uptake and quality of Indian mustard under varied irrigation regimes. Plant Soil Environ., 61(1): 6?10
Ray, K., Banerjee, H., Paul, T. and Das, T. K. (2016). Irrigation and sulphur fertilization effects on the productivity, profitability and greenhouse gases emissions in Indian mustard. Exp. Agr., 52(3): 434?446
Ray, K., Dutta, J., Banerjee, H., Biswas, R., Phonglosa, A. and Pari, A. (2014a). Identification of principal yield attributing traits of Indian mustard [Brassica juncea (L.) Czernj and Cosson] using multivariate analysis. The Bioscan 9(2): 803?809
Ray, K., Pal, A. K., Banerjee, H. and Phonglosa, A. (2014b). Correlation and path analysis studies for growth and yield contributing traits in Indian mustard (Brassica juncea L.). Int. J. Bio-resource and Stress Manage., 5(2): 200?206
Samonte, S. O. P. B., Wilson, L. T. and McClung, A. M. (1998). Path analysis of yield and yield related traits of fifteen diverse rice genotypes. Crop Sci., 38: 1130–1136
SAS Institute. (2011). The SAS System for Windows. Release 9.3. SAS Institute, Cary, NC.
Scheiner, S. M., Mitchell R. J. and Callahan, H. S., (2000). Using path analysis to measure natural selection. Journal of Evolutionary Biology, 13: 423–433
Shah, M. S., Verma, N. and Vishwkarma, S. K. (2015). Diversification of rice (Oryza sativa)-based cropping system for higher production efficiency, water productivity and economic viability in Madhya Pradesh. Indian J. Agron., 60(1): 5?30
Shekhawat, N., Jadeja, G. C., Singh J. and Shekhawat, R. S. (2014). Character Association Studies Among Yield And Its Component Characters in Indian Mustard (Brassica juncea L. Czern & Coss). The Bioscan. 9(2): 685-688
Sheoran, O. P., Tonk, D. S., Kaushik, L. S., Hasija, R. C. and Pannu, R. S. (1998). Statistical Software Package for Agricultural Research Workers. Recent Advances in information theory, Statistics & Computer Applications (Eds. D. S. Hooda and R. C. Hasija). Department of Mathematics Statistics, CCS HAU, Hissar. Pp. 139?143
Sheoran, P., Sardana, V. and Singh, R. (2014). Evaluating productivity potential of spring planted sunflower (Helianthus annuus) hybrids in response to sowing time under changing climate scenario. Indian J. Agron., 59(1): 124?132
Shimelis, H. and Hugo, A. (2011). Determination of selection criteria for seed yield and seed oil content in Vernonia (Vernonia galamensis variety ethiopica). Ind. Crop. Prod., 33: 436?439
Singh, M., Srivastava, R. L., Prasad, L. and Dixit, R. K. (2003). Correlation and path analysis in Indian mustard [Brassica juncea (L.) Czern & Coss]. Adv. Plant Sci., 16: 311?315
Singh, R. K., Singh, Y., Singh, A. K., Kumar, R. and Singh, V. K. (2010). Productivity and economics of mustard (Brassica juncea) varieties as influenced by different fertility levels under late sown condition. Indian J. of Soil Conservation. 38(2): 121-124
Verma, R., Sharma, R. and Sharma, S. K. (2008). Association studies among yield and its component characters in Indian mustard [Brassica juncea (L.) Czern & Coss]. Indian J. Genet. Plant Breed., 68: 87?89
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Evaluation of rapeseed-mustard cultivars under late sown condition in coastal ecosystem of West Bengal. (2017). Journal of Applied and Natural Science, 9(2), 940-949. https://doi.org/10.31018/jans.v9i2.1301
