4.7 Article

A model-based approach to analyse genetic variation in potato using standard cultivars and a segregating population. I. Canopy cover dynamics

Journal

FIELD CROPS RESEARCH
Volume 242, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.fcr.2019.107581

Keywords

Haulm growth; Genotype-by-environment interaction; Heritability; Maturity type; QTL mapping

Categories

Funding

  1. European Community under the Seventh Framework Programme for Research, Technological Development and Demonstration Activities [NUE-CROPS FP7-CP-IP 222645]
  2. Higher Education Commission (HEC), Government of Pakistan
  3. Netherlands Organization for International Cooperation in Higher Education (NUFFIC)

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We designed a model to quantify the canopy cover dynamics in potato (Solanum utherosum L.). It describes the dynamics during the build-up phase, maximum cover phase, and decline phase of canopy development through five parameters defining timing of three phases and maximum canopy cover (v(max)). These five parameters were estimated for 100 individuals of an F1 population, their parents, and five standard cultivars, using data from six field experiments, and used to estimate secondary traits, related to duration and area under the canopy cover curve for the three phases. The duration of the canopy build-up phase (D-P1) was rather conserved, but the duration of maximum canopy cover (D-P2) and the decline phase (D-P3) varied greatly, with late maturing genotypes having longer D-P2 and D-P3 and thus a higher area under the canopy cover curve (A(sum)). High genetic variability coupled with high heritability was recorded for end of canopy senescence (t(e)), D-P2 and A(sum). Strong positive phenotypic and genetic correlations were observed between D-P2 and t(e), v(max) or A(sum) indicating that genotypes with longer D-P2 could be indirectly obtained by selecting for these traits. Several quantitative trait loci (QTLs) were detected for model traits explaining the variance by up to 74%. Clustering of many QTLs were found on position 18.2 cM on paternal linkage group V with major additive effects. Many additional QTLs with minor effects were mostly associated with maternal linkage groups. Our model approach could be used to exploit available genetic variability in canopy cover dynamics of potato.

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