Please use this identifier to cite or link to this item: http://krishikosh.egranth.ac.in/handle/1/5810039302
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dc.contributor.authorVakeel Singh-
dc.contributor.editorGill, K.K.-
dc.date.accessioned2018-01-12T10:52:44Z-
dc.date.available2018-01-12T10:52:44Z-
dc.date.issued2017-
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810039302-
dc.description.abstractThe study entitled "Impact of climate change on productivity of pulses in central Punjab" was carried out to ascertain the shift, variation and deviation of climate in Punjab over the period of 45 years (1971-2015) using correlation regression technique and estimate the possible impact of climate and technology on productivity of pulse crops i.e. chickpea (Cicer arietinum L.) and moongbean (Vigna radiate L.) by developing three different statistical models i.e. SPSS software (model 1), basic model (model 2) and modified model (model 3) with special focus on three districts of central Punjab namely Amritsar, Ludhiana and Patiala. The results revealed an increasing trend in minimum temperature over the period of 45 years (1971-2015) in all the three districts. In Ludhiana minimum temperature has increased during rabi and kharif season by 1.7°C and in Patiala by 0.8°C in kharif and 0.6°C in rabi at 1 per cent level of significance. In case of maximum temperature, Ludhiana has shown an increase during rabi season by 0.8°C, Amritsar has shown decrease in both rabi and kharif season by 0.1°C and 0.2°C and Patiala has shown an increase in both rabi and kharif season by 0.8°C and 0.3°C, respectively. In Ludhiana, rainfall has non-significantly decreased by 17.2 mm during rabi season and increased by 21.6 mm during kharif season. In Amritsar and Patiala rainfall has non-significantly decreased in both kharif and rabi seasons. In Ludhiana district, bright sunshine hours have decreased significantly at 1 per cent level in both rabi and kharif seasons by 1.2 and 1.1 hours, respectively. Use of basic model (model 2) brought out that sunshine hours during 10th week of gram growing season have a positive effect on gram yield in Ludhiana district, while the minimum temperature during 4th to 5th weeks have negative effect on gram yield in Ludhiana district. Minimum temperature during 51st and maximum temperature during 44th to 46th weeks of gram growing season in Amritsar district have negative effect on gram yield. Minimum temperature during 52nd to 1st weeks and rainfall during 44th to 46th weeks of gram growing season in Patiala district have negative effect on gram yield. Maximum temperature during 39th week of moong growing season in Patiala district have negative effect on moong yield, while rainfall during 35th week have positive effect on moong yield in Patiala district. The three models (i.e. SPSS, basic model as well as modified model) predict gram and moong yield very well and the error per cent of these three models was almost below 30 per cent for three districts (Ludhiana, Amritsar and Patiala) of central Punjab. The SPSS model was best fit for Ludhiana, Patiala and Amritsar region as far as gram yield is concerned. In case of moong, SPSS analysis fit best for Ludhiana and Amritsar, while modified model fits better for Patiala region as far as moong yield is concerned.en_US
dc.language.isoenen_US
dc.publisherPunjab Agricultural University, Ludhianaen_US
dc.subjectnullen_US
dc.titleImpact of climate change on productivity of pulses in central Punjaben_US
dc.typeThesisen_US
dc.pages145en_US
dc.subAgricultural Meteorologyen_US
dc.keywordsClimate change, Chickpea, Moongbean, Statistical models,en_US
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