@article{(Open Science Index):https://publications.waset.org/pdf/16582,
	  title     = {The Use of Chlorophyll Meter Readings for the Selection of Maize Inbred Lines under Drought Stress},
	  author    = {F. Gekas and  C. Pankou and  I. Mylonas and  E. Ninou and  E. Sinapidou and  A. Lithourgidis and  F. Papathanasiou and  J. –K. Petrevska and  F. Papadopoulou and  P. Zouliamis and  G. Tsaprounis and  I. Tokatlidis and  C. Dordas},
	  country	= {},
	  institution	= {},
	  abstract     = {The present study aimed to investigate whether
chlorophyll meter readings (SPAD) can be used as criterion of singleplant
selection in maize breeding. Experimentation was performed at
the ultra-low density of 0.74 plants/m2 in order the potential yield per
plant to be fully expressed. R-31 honeycomb experiments were
conducted in three different areas in Greece (Thessaloniki, Giannitsa
and Florina) using 30 inbred lines at well-watered and water-stressed
conditions during the 2012 growing season. The chlorophyll meter
readings had higher rates at dry conditions, except location of
Giannitsa where differences were not significant. Genotypes of
highest chlorophyll meter readings were consistent across areas,
emphasizing on the character’s stability. A positive correlation
between the chlorophyll meter readings and grain yield was
strengthening over time and culminated at the physiological maturity
stage. There was a clear sign that the chlorophyll meter readings has
the potential to be used for the selection of stress-adaptive genotypes
and may permit modern maize to be grown at wider range of
environments addressing the climate change scenarios.
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {7},
	  number    = {8},
	  year      = {2013},
	  pages     = {815 - 819},
	  ee        = {https://publications.waset.org/pdf/16582},
	  url   	= {https://publications.waset.org/vol/80},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 80, 2013},