Literature DB >> 30425431

Characterization of backcross introgression lines derived from Oryza nivara accessions for photosynthesis and yield.

Yadavalli Venkateswara Rao1, Divya Balakrishnan1, Krishnam Raju Addanki1, Sukumar Mesapogu1, Thuraga Vishnu Kiran2, Desiraju Subrahmanyam2, Sarla Neelamraju1, Sitapathi Rao Voleti2.   

Abstract

Improvement of photosynthetic traits is a promising strategy to break the yield potential barrier of major food crops. Leaf photosynthetic traits were evaluated in a set of high yielding Oryza sativa, cv. Swarna × Oryza nivara backcross introgression lines (BILs) along with recurrent parent Swarna, both in wet (Kharif) and dry (Rabi) seasons in normal irrigated field conditions. Net photosynthesis (P N) ranged from 15.37 to 23.25 µmol (CO2) m-2 s-1 in the BILs. Significant difference in P N was observed across the seasons and genotypes. Six BILs showed high photosynthesis compared with recurrent parent in both seasons. Chlorophyll content showed minimum variation across the seasons for any specific BIL but significant variation was observed among BILs. Significant positive association between photosynthetic traits and yield traits was observed, but this association was not consistent across seasons mainly due to contrasting weather parameters in both seasons. BILs 166s and 248s with high and consistent photosynthetic rate exhibited stable high yield levels in both the seasons compared to the recurrent parent Swarna. There is scope to exploit photosynthetic efficiency of wild and weedy rice to identify genes for improvement of photosynthetic rate in cultivars.

Entities:  

Keywords:  BILs; Oryza nivara; Photosynthesis; Seasonal variation; Yield

Year:  2018        PMID: 30425431      PMCID: PMC6214435          DOI: 10.1007/s12298-018-0575-7

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  33 in total

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Review 4.  Improving photosynthetic efficiency for greater yield.

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7.  Evaluation of genotypic variation in leaf photosynthetic rate and its associated factors by using rice diversity research set of germplasm.

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