Article Sidebar
Published:
Oct 27, 2020Keywords:
Article Details
For all accepted articles, authors will be requested to complete, a RJAS publishing agreement. An email will be sent to the corresponding author confirming receipt of the manuscript together with the journal publishing agreement. Copyrights for articles published in our journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author. The findings, interpretations and conclusions reached in the report do not necessarily reflect the views of the Editor and /or the Editorial Board of RJAS.
Main Article Content
Proxy-based approach to wheat selection for photosynthetic efficiency
Abstract
Approaches based on physiological understanding of yield are necessary for developing genotypes combining high yielding potential and agronomic traits of superior adaptation, and for understanding yield limiting factors. Yet, direct measurement of a particular physiological variable is often difficult. This study was set to develop a proxy-based approach to wheat selection for photosynthetic efficiency. After conceptualizing a theoretical framework of links between the traits of photosynthesis, water relations, leaf morphology and anatomy, and their likely proxies; a comparative screening of 23 Eps wheat cultivars was conducted in field at NIAB by means of photosynthetic gas exchange measurement, followed by isotopic measurements (of Δ13C, δ15N, δ18O) in the leaf matter, and morphological and anatomical measurement. Data were explored for parametric assumptions of normal distribution, and homogeneity of variance using Kolmogorov Smirnov and Levene’s tests respectively, and then were subjected to both partial Pearson correlation analysis and mixed analysis of variance (Mixed ANOVA) at p<.01; and Bonferroni test. Having ranked a number of traits according to their likely association with particular proxy, the results showed that photosynthetic rate and WUE (Water Use Efficiency) were highly and statistically significant (p<.01) associated with SLA (Specific Leaf Area). Based on these results, the study concluded that SLA would be potential proxy of both Amax and WUE in wheat.
Keywords: Proxy-based selection, photosynthesis, WUE, wheat,SLA
