Since potato production has been expanded into warmer regions, breeding heat-tolerant potato varieties has also been considered among the top priorities in most breeding programs in recent years. Identification of traits related to heat tolerance in potato is crucial for selection of heat-tolerant genotypes. | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2017) 41: 218-232 © TÜBİTAK doi: Assessment of morphophysiological traits for selection of heat-tolerant potato genotypes 1, 2 1 1 Ufuk DEMİREL *, Sevgi ÇALIŞKAN , Caner YAVUZ , İlknur TINDAŞ , 3 3 3 1 Zsolt POLGAR , Zsolt VASZILY , István CERNÁK , Mehmet Emin ÇALIŞKAN 1 Department of Agricultural Genetic Engineering, Faculty of Ayhan Şahenk Agricultural Sciences and Technologies, Ömer Halisdemir University, Niğde, Turkey 2 Department of Plant Production and Technologies, Faculty of Ayhan Şahenk Agricultural Sciences and Technologies, Ömer Halisdemir University, Niğde, Turkey 3 Potato Research Centre, University of Pannonia, Keszthely, Hungary Received: Accepted/Published Online: Final Version: Abstract: Since potato production has been expanded into warmer regions, breeding heat-tolerant potato varieties has also been considered among the top priorities in most breeding programs in recent years. Identification of traits related to heat tolerance in potato is crucial for selection of heat-tolerant genotypes. The objective of this study was to evaluate the responses of 17 potato genotypes to high temperature stress for identifying some candidate traits associated with heat tolerance. Haulm dry weight (HDW), leaf area index (LAI), photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), SPAD value, and mean tuber weight (MTW) of potato genotypes at control conditions were significantly and positively correlated with tuber yield of genotypes grown under high temperature conditions, whereas canopy temperature (CT) was negatively associated with tuber yield. Classification of potato genotypes based on heat tolerance was done by principal component analysis with yield-correlated traits. The classification results showed high similarities with the yield performance of .
