98%
921
2 minutes
20
Introduction: This study examined the effects of pot size, soil type, fertilizer x dose interactions, and foliar fertilizer application on wheat growth under speed breeding conditions.
Methods: The study was conducted in 2020 in a semi-controlled greenhouse at Dicle University, Diyarbakır, Türkiye, with a 22-hour photoperiod, 22/17°C day/ night temperature, 70% humidity, and 316.15 µmol/m/s light intensity using a mix of white, red, yellow, and purple LED lamps. Sampiyon durum wheat cultivar was used as plant material.
Results: The highest productivity was achieved in a deep pot (270 cm), 100% peat soil, and 20.20.0 (%20 N + %20 K) fertilizer application. Among the foliar fertilizer applications, the best results were observed in the tillering stage and stem elongation-heading stages.
Discussion: These findings highlight ways to optimize plant productivity and improve the efficiency of the speed breeding process. Because the primary goal of speed breeding is to obtain multiple generations in a short period, determining suitable conditions will contribute to the rapid development of more resilient and productive plant varieties in the future.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12399524 | PMC |
http://dx.doi.org/10.3389/fpls.2025.1630915 | DOI Listing |
Theor Appl Genet
September 2025
Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Australia.
Stacking desirable haplotypes across the genome to develop superior genotypes has been implemented in several crop species. A major challenge in Optimal Haplotype Selection is identifying a set of parents that collectively contain all desirable haplotypes, a complex combinatorial problem with countless possibilities. In this study, we evaluated the performance of metaheuristic search algorithms (MSAs)-genetic algorithm (GA), differential evolution (DE), particle swarm optimisation (PSO), and simulated annealing (SA) for optimising parent selection under two genotype building (GB) objectives: Optimal Haplotype Selection (OHS) and Optimal Population Value (OPV).
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602.
Random regression models (RRM) combined with single-step genomic best linear unbiased prediction (ssGBLUP) are widely used for genomic evaluations in dairy cattle. This study aimed to efficiently implement RRM with ssGBLUP for national dairy cattle evaluations. Data from the Czech Holstein population were used, including 30 million test-day records for milk yield across 3 lactations.
View Article and Find Full Text PDFAoB Plants
October 2025
School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia.
Wheat is the most cultivated crop worldwide, and Australia consistently ranks among the top wheat-exporting countries. Although modern technology has expanded the speed and accuracy of conventional breeding, progress is constrained by limited genetic diversity and linkage drag, with new wheat varieties often taking 8-12 years to reach the market. Biotech methods involving the transformation of foreign DNA into genomes [genetic modification (GM)], or editing of native DNA [genome editing (GEd)], provide novel opportunities to efficiently improve traits alongside conventional breeding.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Department of Field Crops, Faculty of Agriculture, Dicle University, Diyarbakir, Türkiye.
Introduction: This study examined the effects of pot size, soil type, fertilizer x dose interactions, and foliar fertilizer application on wheat growth under speed breeding conditions.
Methods: The study was conducted in 2020 in a semi-controlled greenhouse at Dicle University, Diyarbakır, Türkiye, with a 22-hour photoperiod, 22/17°C day/ night temperature, 70% humidity, and 316.15 µmol/m/s light intensity using a mix of white, red, yellow, and purple LED lamps.
Transbound Emerg Dis
September 2025
S. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Equine herpesvirus 1 (EHV-1) is one of the most dangerous viral diseases affecting ungulates, and is characterized by a wide range of clinical manifestations in horses, including rhinopneumonia, abortion, neonatal death, and myeloencephalopathy. It is well known for causing mass abortions in mares and respiratory diseases in young animals. Once introduced into a horse breeding farm of any type, EHV-1 tends to establish as a persistent infection.
View Article and Find Full Text PDF