Identification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab

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dc.contributor.advisorDr. Prabhjyot Kaur Sidhu
dc.contributor.authorMahajan, Sakshi
dc.date.accessioned2024-04-02T12:45:07Z
dc.date.available2024-04-02T12:45:07Z
dc.date.issued2024
dc.description.abstractThe field experiment entitled, “Identification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab” was carried out at the Research Farm of the Dept of Climate Change and Agricultural Meteorology, PAU, Ludhiana during rabi 2022-23. Five wheat cultivars (Unnat PBW343, Unnat PBW550, PBW826, PBW869 and PBW824) were sown under six thermal environments (D1: 26th October, D2: 2nd November, D3: 9th November, D4: 16th November, D5: 23rd November and D6: 30th November) in a split plot design. The perusal of data revealed that the number of days required to complete the phenological stages were more under D1 followed by D2, D3, D4, D5 and D6. The cv Unnat PBW550 took least number of days to complete its life cycle. The LAI, tiller count periodic dry matter and PAR interception was more under thermal environment D1 and cv PBW826 while these parameters were more under late sown conditions in cv Unnat PBW550. The grain yield of wheat cultivars was reduced with delay in sowing by ~34 days (26th October to 30th November) by 40.7, 39.1, 46.0 and 42.6% in cv Unnat PBW343, PBW826, PBW869 and PBW824, respectively while in cv Unnat PBW550 the yield increased by 23.9% with delayed sowing. The GDD and PTU had positive relation with the yield and yield attributes amongst the four cultivars, while a negative relation was found with the cv Unnat PBW550. The weekly and monthly thumb rule models were developed using past 15 years meteorological data. It was concluded that the temperature and sunshine hours decreased from October till January and later from February onwards increased till April and the inverse happens with RH. The crop weather calendars that were developed will provide useful information regarding meteorological data for different growth stages and can be used to issue agro-advisories for crop yield prediction. The analysis revealed that high temperature was the cause of low yield during 2021-22 while rainfall during grain filling of wheat contributed to yield loss during 2014-15. Maximum/minimum temperature of 16-27/0-12oC, 14-23/3-10 oC and 25-36/10-20 oC during vegetative, flowering and physiological maturity stages, respectively were favourable for high yield of wheat in Punjab.
dc.identifier.citationMahajan, Sakshi (2024). Identification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab (Unpublished M.Sc. thesis). Punjab Agricultural University, Ludhiana, Punjab, India.
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810207993
dc.language.isoEnglish
dc.pages242
dc.publisherPunjab Agricultural University
dc.research.problemIdentification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab
dc.subAgricultural Meteorology
dc.themeIdentification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab
dc.these.typeM.Sc
dc.titleIdentification of major abiotic bottlenecks in Wheat (Triticum aestivum L.) productivity in Punjab
dc.typeThesis
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