The complexity of selecting for drought tolerance in cassava, influenced by multiple factors, demands innovative approaches to plant selection. This study aimed to identify cassava clones with tolerance to water stress by employing truncated selection and selection based on genomic values for population improvement and genotype evaluation . The Best Linear Unbiased Predictions (BLUPs), Genomic Estimated Breeding Values (GEBVs), and Genomic Estimated Genotypic Values (GETGVs) were obtained based on different prediction models via genomic selection. The selection intensity ranged from 10 to 30%. A wide range of BLUPs for agronomic traits indicate desirable genetic variability for initiating genomic selection cycles to improve cassava's drought tolerance. SNP-based heritability ( ) and broad-sense heritabilities ( ) under water deficit were low magnitude (<0.40) for 8 to 12 agronomic traits evaluated. Genomic predictive abilities were below the levels of phenotypic heritability, varying by trait and prediction model, with the lowest and highest predictive abilities observed for starch content (0.15 - 0.22) and root length (0.34 - 0.36). Some agronomic traits of greater importance, such as fresh root yield (0.29 - 0.31) and shoot yield (0.31 - 0.32), showed good predictive ability, while dry matter content had lower predictive ability (0.16 - 0.22). The G-BLUP and RKHS methods presented higher predictive abilities, suggesting that incorporating kinship effects can be beneficial, especially in challenging environments. The selection differential based on a 15% selection intensity (62 genotypes) was higher for economically significant traits, such as starch content, shoot yield, and fresh root yield, both for population improvement (GEBVs) and for evaluating genotype's performance per (GETGVs). The lower costs of genotyping offer advantages over conventional phenotyping, making genomic selection a promising approach to increasing genetic gains for drought tolerance in cassava and reducing the breeding cycle to at least half the conventional time.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683140PMC
http://dx.doi.org/10.3389/fpls.2024.1483340DOI Listing

Publication Analysis

Top Keywords

drought tolerance
12
genomic selection
12
tolerance cassava
8
selection selection
8
genomic estimated
8
selection
7
genomic
6
optimizing drought
4
tolerance
4
cassava genomic
4

Similar Publications

Accumulating evidence is suggesting more frequent tropical-to-temperate transitions than previously thought. This raises the possibility that biome transitions could be facilitated by precursor traits. A wealth of ecological, genetic and physiological evidence suggests overlap between drought and frost stress responses, but the origin of this overlap, i.

View Article and Find Full Text PDF

Rapid radiation of a plant lineage sheds light on the assembly of dry valley biomes.

Mol Biol Evol

January 2025

CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.

Southwest China is characterized by high plateaus, large mountain systems, and deeply incised dry valleys formed by major rivers and their tributaries. Despite the considerable attention given to alpine plant radiations in this region, the timing and mode of diversification of the numerous dry valley plant lineages remain unknown. To address this knowledge gap, we investigated the macroevolution of Isodon (Lamiaceae), a lineage commonly distributed in the dry valleys in southwest China and wetter areas of Asia and Africa.

View Article and Find Full Text PDF

Background: Arbuscular mycorrhizal (AM) fungi form a highly adaptable and versatile group of fungi found in natural and man-managed ecosystems. Effector secreted by AM fungi influence symbiotic relationship by modifying host cells, suppressing host defense and promoting infection to derive nutrients from the host. Here, we conducted a reference-based transcriptome sequencing of Funneliformis mosseae BR221 to enhance understanding on the molecular machinery involved in the establishment of interaction between host and AM fungi.

View Article and Find Full Text PDF

Maize ( L.) is a widely grown food crop around the world. Drought stress seriously affects the growth and development process of plants and causes serious damage to maize yield.

View Article and Find Full Text PDF

Silica-Activated Redox Signaling Confers Rice with Enhanced Drought Resilience and Grain Yield.

ACS Nano

January 2025

State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China.

Under a changing climate, enhancing the drought resilience of crops is critical to maintaining agricultural production and reducing food insecurity. Here, we demonstrate that seed priming with amorphous silica (SiO) nanoparticles (NPs) (20 mg/L) accelerated seed germination speed, increased seedlings vigor, and promoted seedling growth of rice under polyethylene glycol (PEG)-mimicking drought conditions. An orthogonal approach was used to uncover the mechanisms of accelerated seed germination and enhanced drought tolerance, including electron paramagnetic resonance, Fourier transform infrared spectroscopy (FTIR), metabolomics, and transcriptomics.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!