Institut für Pflanzenzüchtung, Saatgutforschung und Populationsgenetik

Permanent URI for this collectionhttps://hohpublica.uni-hohenheim.de/handle/123456789/13

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Assessment of phenotypic, genomic and novel approaches for soybean breeding in Central Europe
(2022) Zhu, Xintian; Würschum, Tobias
Soybean is the economically most important leguminous crop worldwide and serves as a main source of plant protein for human nutrition and animal feed. Europe is dependent on plant protein imports and the EU protein self-sufficiency, which is an issue that has been on the political agenda for several decades, has recently received renewed interest. The protein imports are mainly in the form of soybean meal, and soybean therefore appears well-suited to mitigate the protein deficit in Europe. This, however, requires an improvement of soybean production as well as an expansion of soybean cultivation and thus breeding of new cultivars that combine agronomic performance with adaptation to the climatic conditions in Central Europe. The objective of this thesis was to characterize, evaluate and devise approaches that can improve the efficiency of soybean breeding. Breeding is essentially the generation of new genetic variation and the subsequent selection of superior genotypes as candidates for new cultivars. The process of selection can be supported by marker-assisted or genomic selection, which are both based on molecular markers. A first step towards the utilization of these approaches in breeding is the characterization of the genetic architecture underlying the target traits. In this study, we therefore performed QTL mapping for six target traits in a large population of 944 recombinant inbred lines from eight biparental families. The results showed that some major-effect QTL are present that could be utilized in marker-assisted selection, but in general the target traits are quantitatively inherited. For such traits controlled by numerous small-effect QTL, genomic selection has proven as a powerful tool to assist selection in breeding programs. We therefore also evaluated the genomic prediction accuracy and found this to be high and promising for the six traits of interest. In conclusion, these results illustrated the potential of genomic selection for soybean breeding programs, but a potential limitation of this approach are the costs required for genotyping with molecular markers. Phenomic selection is an alternative approach that uses near-infrared or other spectral data for prediction instead of the marker data used for its genomic counterpart. Here, we evaluated the phenomic predictive ability in soybean as well as in triticale and maize. Phenomic prediction based on near-infrared spectroscopy (NIRS) of seeds showed a comparable or even slightly higher predictive ability than genomic prediction. Collectively, our results illustrate the potential of phenomic selection for breeding of complex traits in soybean and other crops. The advantage of this approach is that NIRS data are often available anyhow and can be generated with much lower costs than the molecular marker data, also in high-throughput required to screen the large numbers of selection candidates in breeding programs. Soybean is a short-day plant originating from temperate China, and thus adaptation to the climatic conditions of Central Europe is a major breeding goal. In this study, we established a large diversity panel of 1,503 early-maturing soybeans, comprising of European breeding material and accessions from genebanks. This panel was evaluated in six environments, which revealed valuable genetic variation that can be introgressed into our breeding programs. In addition, we deciphered the genetic architecture of the adaptation traits flowering time and maturity. Taken together, the findings of this study show the potential of several phenotypic, genomic and novel approaches that can be integrated to improve the efficiency of soybean breeding and thus hold great promise to assist the expansion of soybean cultivation in Central Europe through breeding of adapted and agronomically improved cultivars.
Studies on flowering time and photoperiod sensitivity in domesticated and wild amaranth species (Amaranthus spp.)
(2023) Baturaygil, Ali; Schmid, Karl J.
Flowering time plays fundamental roles in the local adaptation and agricultural productivity of the crops. Photoperiodic response regulates the time of flowering by adjusting the response of plant circadian rhythm to environmental signals. Amaranth (Amaranthus spp.) is a short-day crop native to Central and South America, and mainly used as grain and vegetable. Hence, photoperiod sensitivity is a pivotal trait for grain amaranths in Central Europe climatic and long-day conditions, as it determines the local adaptability and the cultivation purpose of the crop i.e., grain or biomass production. However, the knowledge on the different aspects such as breeding, domestication history and adaptation genetics is very limited in grain amaranths. In this project, we studied such different aspects of grain amaranths by addressing the elucidative photoperiod sensitivity trait. In the first study, the phenotypic evaluation of biomass yield components revealed two distinct growth types. Of those, our ten biomass genotypes showed mild to high photoperiod sensitivity, flowered late or completely rejected flowering, reached long final plant heights and low dry matter content. In contrast, the only grain type variety showed photoperiod insensitivity, flowered early, and reached a short final plant height and a relatively higher dry matter content. Our results suggested that selection for both high dry matter yield and content requires a trade-off between photoperiod sensitivity and early flowering, due to the negative correlation between these traits. In the second study, characterization of genebank accessions from the three major grain species (A. caudatus, A. cruentus, A. hypochondriacus) and their wild relative species (A. hybridus and A. quitensis) for adaptive traits such as flowering time and seed setting under long-day conditions discovered a larger photoperiodic variation in the Central American accessions ranging from insensitivity to high sensitivity, whereas South American accessions showed a more narrow variation, limited by mild sensitivity. This result suggests the Central American origin of the wild relative A. hybridus, which might have migrated from Central to South America, and potentially has been selected against high photoperiod sensitivity. Moreover, we studied the environmental variables that may influence seed setting. Photoperiod insensitive accessions set seed regardless of their origin. However, mild photoperiod-sensitive accessions set seed, only if they were from warm center of origin. In the third study, we investigated the genetic architecture of photoperiod sensitivity. The bimodal-like flowering time distributions, and the linkage and association mapping studies using three different populations revealed that photoperiod sensitivity trait is controlled in an oligogenic manner. In particular, all three populations consistently found the same ‘consensus region’ that includes a very promising candidate gene called ‘response regulator of two-component system’. The homologs of this candidate gene are responsible for photoperiodic response in a variety of different crops and the model species Arabidopsis thaliana. In addition, the phenotypic analyses, and the marker data (i) showed photoperiod sensitivity guided pleiotropic relationships between the traits, (ii) revealed a potential epistatic behavior of the genomic region controlling photoperiod sensitivity, and (iii) showed the dominance of photoperiod sensitivity over insensitivity in that region.

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