A5029735223- Sugarcane Cultivation and Processing
- Genetics and Plant Breeding
- Natural Products and Biological Research
- Genetic and phenotypic traits in livestock
- Biofuel production and bioconversion
- Plant Disease Resistance and Genetics
- Insect-Plant Interactions and Control
- Plant Pathogens and Fungal Diseases
- Wheat and Barley Genetics and Pathology
- Plant Pathogenic Bacteria Studies
- Insect behavior and control techniques
- Genetic Mapping and Diversity in Plants and Animals
- Oil Palm Production and Sustainability
- Optimal Experimental Design Methods
- Cocoa and Sweet Potato Agronomy
- GABA and Rice Research
Sugar Research Australia (Australia)
2010-2024
International Rice Research Institute
2022
Mackay Base Hospital
2010
Plant Industry
2010
Commonwealth Scientific and Industrial Research Organisation
2010
Sugarcane is a major industrial crop cultivated in tropical and subtropical regions of the world. It primary source sugar worldwide, accounting for more than 70% world consumption. Additionally, sugarcane emerging as sustainable bioenergy. However, increase productivity from has been small compared to other crops, rate genetic gains current breeding programs tends be plateauing. In this review, some main contributors relatively slow rates gain are discussed, including (i) cycle length (ii)...
Non-additive genetic effects seem to play a substantial role in the expression of complex traits sugarcane. Including non-additive genomic prediction models significantly improves accuracy clonal performance. In recent decade, progress has been slow One reason might be that contribute substantially traits. Dense marker information provides opportunity exploit prediction. this study, series best linear unbiased (GBLUP) account for additive and were assessed improve The reproducible kernel...
Few association mapping studies have simultaneously accounted for population structure, genotype by environment interaction (GEI), and spatial variation. In this sugarcane study we tested models accounting these factors identified the impact that each model component had on list of markers declared as being significantly associated with traits. About 480 genotypes were evaluated cane yield sugar content at three sites scored DArT markers. A mixed was applied in analysis data to account...
Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with susceptible infected crops losing over 30% yield. A heritable component to both has been demonstrated, suggesting selection could improve disease resistance. Genomic accelerate gains even further, enabling early resistant seedlings for breeding clonal propagation. In this study we evaluated four types algorithms genomic predictions performance These were: best linear unbiased prediction (GBLUP), including...
Red rot caused by the fungus Colletotrichum falcatum is main disease limiting sugarcane productivity in several countries including major producer India. The genetic basis for red resistance unclear. We studied a panel of 305 clones from Australian breeding program response phenotype and genotype using an Affymetrix® Axiom® array, to better understand resistance. SNP markers highly significantly associated with (≤ 10-8) were identified. Markers largest effect located single 14.6 Mb genomic...
Resistance of sugarcane plants to smut is believed be manifested by two mechanisms, (i) external resistance, governed structural barrier bud scale and/or chemical secretion from the bud, and (ii) internal regulated interaction fungus within plant tissue. Hot water treatments are routinely used treat seed cane eliminate a range diseases including smut. It that hot treatment predisposes This study was conducted determine resistance mechanisms some important Australian parent clones, their...
Abstract Genomic selection in sugarcane faces challenges due to limited genomic tools and high complexity, particularly because of its variable ploidy. The classification genotypes for single nucleotide polymorphisms (SNPs) becomes difficult the wide range possible allele dosages. Previous studies used pseudo‐diploid genotyping, grouping all heterozygotes into a class. In this study, we investigate use continuous as proxy allele‐dosage prediction models. hypothesis is that could better...
An incursion of sugarcane smut in Queensland was identified 2006 Bundaberg, Ingham, and Mackay. In 2008, two cultivars, 'Q205' 'Q170', were highly susceptible Bundaberg but remained disease free on a heavily infested farm A glasshouse experiment established to determine whether the differences expression due sources cultivars sourced from Mackay 2009. These inoculated with population Sporisorium scitamineum spores. had same levels disease, indicating that variation clonal source not...
Sugarcane has a complex, highly polyploid genome with multi-species ancestry. Additive models for genomic prediction of clonal performance might not capture interactions between genes and alleles from different ploidies ancestral species. As such, in sugarcane presents an interesting case machine learning (ML) methods, which are purportedly able to deal high levels complexity prediction. Here, we investigated deep (DL) neural networks, including multilayer networks (MLP) convolution (CNN),...
Mate-allocation strategies in breeding programs can improve progeny performance by harnessing non-additive genetic effects. These approaches prioritise predicted merit over parental value, making them particularly appealing for clonally propagated crops such as sugarcane. We conducted a comparative analysis of mate-allocation strategies, exploring utilising and heterozygosity effects to maximise clonal with schemes that solely consider additive optimise value. Using phenotypic genotypic data...
Sugarcane has a complex, highly polyploid genome with multi-species ancestry. Additive models for genomic prediction of clonal performance might not capture interactions between genes and alleles from different ploidies ancestral species. As such in sugarcane presents an interesting case machine learning methods, which are purportedly able to deal high levels complexity prediction. Here we investigate deep networks (DL), including Multilayer (MLP) convolution neural (CNN), Random Forest (RF)...
ABSTRACT A blast-resistance rice mutant, GR978, generated by gamma-irradiation of indica cultivar IR64 was used to characterize the disease resistance transcriptome gain a better understanding genes or chromosomal regions contributing broad-spectrum resistance. GR978 selected from mutant collection at IRRI. To facilitate phenotypic characterization collection, set controlled vocabularies (CV) documenting phenotypes in ∼3,700 entries developed. In collaboration with Tos17 group National...
ABSTRACT Mate-allocation in breeding programs can improve progeny performance by exploiting non-additive effects. Breeding decisions the mate-allocation approach are based on predicted merit rather than parental value. This is particularly attractive when effects significant, and best-predicted be clonally propagated, for example sugarcane. We compared strategies that leverage heterozygosity to maximise sugarcane clonal schemes use only additive used phenotypes genotypes from a population of...
We conducted monthly monitoring of lepidopterous moth borers in four sugarcane fields Java, Indonesia, from May 2009 to 2011. Fields sampled belonged Pesantren Baru, Jombang Gondang Baru and Subang sugar factories. Three main borer species were found inflict damage plantations all regions, these are the stalk Chilo sacchariphagus (Bojer) auricilius Dudgeon top Scirpophaga excerptalis (Walker). Tetramoera (Eucosma) schistaceana (Snellen) was also encountered but only caused minor damage....