Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation.
To extend agricultural productivity by knowledge-based breeding and tailor varieties adapted to specific environmental conditions, it is imperative to improve our ability to assess the dynamic changes of the phenome of crops under field conditions. To this end, we have developed a precision phenotyping platform that combines various sensors for a non-invasive, high-throughput and high-dimensional phenotyping of small grain cereals. This platform yielded high prediction accuracies and heritabilities for biomass of triticale. Genetic variation for biomass accumulation was dissected with 647 doubled haploid lines derived from four families. Employing a genome-wide association mapping approach, two major quantitative trait loci (QTL) for biomass were identified and the genetic architecture of biomass accumulation was found to be characterized by dynamic temporal patterns. Our findings highlight the potential of precision phenotyping to assess the dynamic genetics of complex traits, especially those not amenable to traditional phenotyping.
Competence Centre of Applied Agricultural Engineering COALA, University of Applied Sciences Osnabrück, 49076 Osnabrück, Germany.
Lucas
L
Busemeyer
Arno
A
Ruckelshausen
Kim
K
Möller
Albrecht E
AE
Melchinger
Katharina V
KV
Alheit
Hans Peter
HP
Maurer
Volker
V
Hahn
Elmar A
EA
Weissmann
Jochen C
JC
Reif
Tobias
T
Würschum
D018533:Biomass; D002523:Edible Grain / Q000235:genetics* / Q000254:growth & development*; D004843:Epistasis, Genetic; D053263:Gene Regulatory Networks / Q000235:genetics; D010641:Phenotype; D040641:Quantitative Trait Loci / Q000235:genetics; D013997:Time Factors