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

Muhammad Sohail Khan, Paul C. Struik*, Peter E.L. van der Putten, Hans J. Jansen, Herman J. van Eck, Fred A. van Eeuwijk, Xinyou Yin

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We designed a model to quantify the canopy cover dynamics in potato (Solanum tuberosum 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 (vmax). 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 (DP1) was rather conserved, but the duration of maximum canopy cover (DP2) and the decline phase (DP3) varied greatly, with late maturing genotypes having longer DP2 and DP3 and thus a higher area under the canopy cover curve (Asum). High genetic variability coupled with high heritability was recorded for end of canopy senescence (te), DP2 and Asum. Strong positive phenotypic and genetic correlations were observed between DP2 and te, vmax or Asum indicating that genotypes with longer DP2 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.

Original languageEnglish
Article number107581
JournalField Crops Research
Volume242
DOIs
Publication statusPublished - 1 Oct 2019

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potato
genetic variation
cultivar
canopy
potatoes
cultivars
quantitative trait loci
linkage groups
duration
genotype
phenotypic correlation
heritability
senescence
additive effect
Solanum tuberosum
genetic correlation

Keywords

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

Cite this

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title = "A model-based approach to analyse genetic variation in potato using standard cultivars and a segregating population. I. Canopy cover dynamics",
abstract = "We designed a model to quantify the canopy cover dynamics in potato (Solanum tuberosum 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 (vmax). 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 (DP1) was rather conserved, but the duration of maximum canopy cover (DP2) and the decline phase (DP3) varied greatly, with late maturing genotypes having longer DP2 and DP3 and thus a higher area under the canopy cover curve (Asum). High genetic variability coupled with high heritability was recorded for end of canopy senescence (te), DP2 and Asum. Strong positive phenotypic and genetic correlations were observed between DP2 and te, vmax or Asum indicating that genotypes with longer DP2 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.",
keywords = "Genotype-by-environment interaction, Haulm growth, Heritability, Maturity type, QTL mapping",
author = "Khan, {Muhammad Sohail} and Struik, {Paul C.} and {van der Putten}, {Peter E.L.} and Jansen, {Hans J.} and {van Eck}, {Herman J.} and {van Eeuwijk}, {Fred A.} and Xinyou Yin",
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T1 - A model-based approach to analyse genetic variation in potato using standard cultivars and a segregating population. I. Canopy cover dynamics

AU - Khan, Muhammad Sohail

AU - Struik, Paul C.

AU - van der Putten, Peter E.L.

AU - Jansen, Hans J.

AU - van Eck, Herman J.

AU - van Eeuwijk, Fred A.

AU - Yin, Xinyou

PY - 2019/10/1

Y1 - 2019/10/1

N2 - We designed a model to quantify the canopy cover dynamics in potato (Solanum tuberosum 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 (vmax). 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 (DP1) was rather conserved, but the duration of maximum canopy cover (DP2) and the decline phase (DP3) varied greatly, with late maturing genotypes having longer DP2 and DP3 and thus a higher area under the canopy cover curve (Asum). High genetic variability coupled with high heritability was recorded for end of canopy senescence (te), DP2 and Asum. Strong positive phenotypic and genetic correlations were observed between DP2 and te, vmax or Asum indicating that genotypes with longer DP2 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.

AB - We designed a model to quantify the canopy cover dynamics in potato (Solanum tuberosum 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 (vmax). 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 (DP1) was rather conserved, but the duration of maximum canopy cover (DP2) and the decline phase (DP3) varied greatly, with late maturing genotypes having longer DP2 and DP3 and thus a higher area under the canopy cover curve (Asum). High genetic variability coupled with high heritability was recorded for end of canopy senescence (te), DP2 and Asum. Strong positive phenotypic and genetic correlations were observed between DP2 and te, vmax or Asum indicating that genotypes with longer DP2 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.

KW - Genotype-by-environment interaction

KW - Haulm growth

KW - Heritability

KW - Maturity type

KW - QTL mapping

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DO - 10.1016/j.fcr.2019.107581

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JO - Field Crops Research

JF - Field Crops Research

SN - 0378-4290

M1 - 107581

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