The major quantitative trait locus (QTL) Phosphorus uptake1 (Pup1) confers tolerance of phosphorus deficiency in soil and is currently one of the most promising QTLs for the development of tolerant rice (Oryza sativa) varieties. To facilitate targeted introgression of Pup1 into intolerant varieties, the gene models predicted in the Pup1 region in the donor variety Kasalath were used to develop gene-based molecular markers that are evenly distributed over the fine-mapped 278-kb QTL region. To validate the gene models and optimize the markers, gene expression analyses and partial allelic sequencing were conducted. The markers were tested in more than 80 diverse rice accessions revealing three main groups with different Pup1 allele constitution. Accessions with tolerant (group I) and intolerant (group III) Pup1 alleles were distinguished from genotypes with Kasalath alleles at some of the analyzed loci (partial Pup1; group II). A germplasm survey additionally confirmed earlier data showing that Pup1 is largely absent from irrigated rice varieties but conserved in varieties and breeding lines adapted to drought-prone environments. A core set of Pup1 markers has been defined, and sequence polymorphisms suitable for single-nucleotide polymorphism marker development for high-throughput genotyping were identified. Following a marker-assisted backcrossing approach, Pup1 was introgressed into two irrigated rice varieties and three Indonesian upland varieties. First phenotypic evaluations of the introgression lines suggest that Pup1 is effective in different genetic backgrounds and environments and that it has the potential to significantly enhance grain yield under field conditions.

Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast, accurate and non-destructive monitoring of biomass enables various applications related to crop growth. In this paper, strawberry dry biomass weight was modeled using 4 canopy geometric parameters (area, average height, volume, standard deviation of height) and 25 spectral variables (5 band original reflectance values and 20 vegetation indices (VIs)) extracted from the Unmanned Aerial Vehicle (UAV) multispectral imagery. Six regression techniques—multiple linear regression (MLR), random forest (RF), support vector machine (SVM), multivariate adaptive regression splines (MARS), eXtreme Gradient Boosting (XGBoost) and artificial neural network (ANN)—were employed and evaluated for biomass prediction. The ANN had the highest accuracy in a five-fold cross-validation, with R² of 0.89~0.93, RMSE of 7.16~8.98 g and MAE of 5.06~6.29 g. As for the other five models, the addition of VIs increased the R² from 0.77~0.80 to 0.83~0.86, and reduced the RMSE from 8.89~9.58 to 7.35~8.09 g and the MAE from 6.30~6.70 to 5.25~5.47 g, respectively. Red-edge-related VIs, including the normalized difference red-edge index (NDRE), simple ratio vegetation index red-edge (SR_RedEdge), modified simple ratio red-edge (MSR_RedEdge) and chlorophyll index red and red-edge (CI_red&RE), were the most influential VIs for biomass modeling. In conclusion, the combination of canopy geometric parameters and VIs obtained from the UAV imagery was effective for strawberry dry biomass estimation using machine learning models.

Key message We have developed allele-specific markers for molecular breeding to transfer the PSTOL1 gene from Kasalath to African mega-varieties, including NERICAs, to improve their tolerance to P-deficient soil. Abstract The deficiency of phosphorus (P) in soil is a major problem in Sub-Saharan Africa due to general nutrient depletion and the presence of P-fixing soils. Developing rice cultivars with enhanced P efficiency would, therefore, represent a sustainable strategy to improve the livelihood of resource-poor farmers. Recently the Pup1 locus, a major QTL for tolerance to P deficiency in soil, was successfully narrowed-down to a major gene, the protein kinase OsPSTOL1 (P-starvation tolerance), which was found to be generally absent from modern irrigated rice varieties. Our target is to improve the tolerance of African mega-varieties to P deficiency through marker-assisted introgression of PSTOL1. As a first step, we have determined the Pup1 haplotype and surveyed the presence or absence of PSTOL1 and other genes of the Pup1 locus in African mega-varieties, NERICAs (New Rice for Africa) and their Oryza glaberrima parents. Here, we report the presence of a novel PSTOL1 allele in upland NERICAs that was inherited from the O. glaberrima parent CG14. This allele showed a 35 base-pair substitution when aligned to the Kasalath allele, but maintained a fully conserved kinase domain, and is present in most O. glaberrima accessions evaluated. In-silico and marker analysis indicated that many other genes of the Kasalath Pup1 locus were missing in the O. glaberrima genome, including the dirigent-like gene OsPupK20-2, which was shown to be downstream of PSTOL1. We have developed several allele-specific markers for the use for molecular breeding to transfer the PSTOL1 gene from Kasalath to African mega-varieties, including NERICAs.