Brito, G.G., Suassuna, N.D., Silva, V.N., Sofiatti, V., Diola, V. and Morello, C.L. (2014) Leaf-Level Carbon Isotope Discrimination and Its Relationship with Yield Components as a Tool for Cotton Phenotyping in Unfavorable Conditions. Acta Scientiarum Agronomy, 36, 335-345.
https://doi.org/10.4025/actasciagron.v36i3.17986

has been cited by the following article:

• TITLE: Stable Carbon Isotope Discrimination (δ13C) of Cotton Burrs and Seeds as a Season-Long Integrator of Crop Water Stress

  AUTHORS: Dennis C. Gitz III, Jeffrey T. Baker, Robert J. Lascano

  KEYWORDS: Irrigation-Scheduling, Germplasm Screen, Water Management

  JOURNAL NAME: American Journal of Plant Sciences, Vol.13 No.12, December 29, 2022

  ABSTRACT: Plant-based irrigation management schemes typically use surrogates such as canopy temperature, alone, or in conjunction with environmental variables, to infer the degree of “crop stress” (biological strain) induced by drought. Few systematic studies of the relationship between “crop stress”, as defined by such surrogates, and physiological estimates of water use efficiency (WUE) exist over both daily and seasonal time scales relevant to agronomic irrigation control. The systematic application of stable carbon isotope discrimination (δ13C) might allow post hoc evaluation of irrigation scheduling schemes and might also be a useful germplasm screening tool if the source(s) of variability can be uncovered and/or controlled. Results from preliminary efforts comparing leaf and cotton seed δ13C to season-long water deficits showed that seeds are more useful indicators of season-long water stress and water use efficiency during crop development.