期刊
PLANT PRODUCTION SCIENCE
卷 23, 期 1, 页码 136-147出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1343943X.2019.1625273
关键词
Stomatal conductance; thermal image; cowpea; gas exchange; Bayesian analysis
类别
资金
- JIRCAS research program
Compared with a porometer, a thermal camera can be easily applied to large plant populations comprising a set of varieties, treatments, and replications, whereby, leaf temperature-based indicators are widely used to estimate stomatal conductance (g(s)); however, a major difficulty in applying these indicators is their vulnerability to meteorological conditions. In this study, a new indicator of g(s) (GsI) was developed with a modified theoretical equation of g(s) that was highly simplified by means of several assumptions. GsI calculation uses leaf and air temperature, relative humidity, and solar radiation measurements. To validate and compare GsI values with other thermal indicators as leaf-air temperature difference and crop water stress index, glasshouse and field experiments were conducted. Leaf temperature of cowpea plants was measured using a low-cost thermal camera to ensure a cost-friendly method. GsI proved to be more stable than other indicators, relative to the measured g(s), irrespective of solar radiation, air temperature, and relative humidity conditions. As no reference temperature is needed for the calculation of GsI, it easily applies to large plant populations, although the GsI is most accurate in the range from moderate to high g(s) values (approximately, >0.2 mol m(-2) s(-1)). We used GsI to evaluate a cowpea germplasm collection consisting of 248 accessions, and elucidated that most accessions with higher GsI, which expected to have higher g(s), are originated in West-Africa. As GsI is available regardless of varying meteorological conditions, it is a useful indicator of g(s), especially in field studies involving multilocation and time-course evaluations. [GRAPHICS] .
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