Identification and reproducibility of diagnostic DNA markers for tuber starch and yield optimization in a novel association mapping population of potato (Solanum tuberosum L.).

KEY MESSAGE: SNPs in candidate genes Pain - 1, InvCD141 (invertases), SSIV (starch synthase), StCDF1 (transcription factor), LapN (leucine aminopeptidase), and cytoplasm type are associated with potato tuber yield, starch content and/or starch yield. Tuber yield (TY), starch content (TSC), and starch yield (TSY) are complex characters of high importance for the potato crop in general and for industrial starch production in particular. DNA markers associated with superior alleles of genes that control the natural variation of TY, TSC, and TSY could increase precision and speed of breeding new cultivars optimized for potato starch production. Diagnostic DNA markers are identified by association mapping in populations of tetraploid potato varieties and advanced breeding clones. A novel association mapping population of 282 genotypes including varieties, breeding clones and Andean landraces was assembled and field evaluated in Northern Spain for TY, TSC, TSY, tuber number (TN) and tuber weight (TW). The landraces had lower mean values of TY, TW, TN, and TSY. The population was genotyped for 183 microsatellite alleles, 221 single nucleotide polymorphisms (SNPs) in fourteen candidate genes and eight known diagnostic markers for TSC and TSY. Association test statistics including kinship and population structure reproduced five known marker-trait associations of candidate genes and discovered new ones, particularly for tuber yield and starch yield. The inclusion of landraces increased the number of detected marker-trait associations. Integration of the present association mapping results with previous QTL linkage mapping studies for TY, TSC, TSY, TW, TN, and tuberization revealed some hot spots of QTL for these traits in the potato genome. The genomic positions of markers linked or associated with QTL for complex tuber traits suggest high multiplicity and genome wide distribution of the underlying genes.

Physiological response and yield components under greenhouse drought stress conditions in potato.

Due to the effects of climate change, conditions tend to be increasingly extreme, with water availability being one of the main limiting factors in potato production. The objective of this study was to analyze the differential response of physiological and yield components in six potato varieties under water deficit conditions. For this purpose, a greenhouse trial was carried out with the varieties Agata, Agria, Kennebec, Monalisa, Sante and Zorba. The drought stress was applied in stressed plants 36 days after planting (DAP) by withholding water for 25 days. All measurements were taken at four different times: before stress (T0), 17 days (T1) and 24 days (T2) after stress and five days after re-watering. The physiological parameters evaluated were chlorophyll content and fluorescence, relative leaf water content, stomatal conductance, electrolytic leakage and water potential. After the drought period, the aerial part of half of the plants was cut to evaluate the produced biomass. At the end of the cycle yield components were determined. Stomatal conductance and water potential were the parameters that showed the highest differences between the two hydric conditions, and Monalisa was the variety with the best response in tuber production under stress conditions. Indirect selection based on parameters associated with water stress can be a useful tool in potato breeding programs for the identification of more tolerant varieties.