Yellow Sugarcane Aphid Resistance in Selected Digitaria Germplasm1

1982 ◽  
Vol 75 (2) ◽  
pp. 308-314 ◽  
Author(s):  
R. H. Ratcliffe ◽  
A. J. Oakes
Keyword(s):  
Aphid Resistance ◽  
Sugarcane Aphid

scholarly journals Genome-Wide Association Mapping of Resistance to the Sugarcane Aphid in Sorghum bicolor

2021 ◽  
Author(s):  
Somashekhar Punnuri ◽  
Addissu Ayele ◽  
Karen Harris-Shultz ◽  
Joseph Knoll ◽  
Alisa Coffin ◽  
...  
Keyword(s):  
Flowering Time ◽  
Plant Height ◽  
Genotyping By Sequencing ◽  
Significant Snps ◽  
Aphid Resistance ◽  
Melanaphis Sacchari ◽  
Phenotypic Data ◽  
Sugarcane Aphid ◽  
Genome Wide ◽  
Sorghum Production

Abstract Since 2013, the sugarcane aphid (SCA), Melanaphis sacchari (Zehntner), has been a serious pest that hampers all types of sorghum production in the U.S. Our understanding of sugarcane aphid resistance in sorghum is limited to knowledge about a few genetic regions on chromosome SBI-06. In this study, a subset of the Sorghum Association Panel (SAP) was used along with some additional lines to identify genetic and genomic regions that confer sugarcane aphid resistance. SAP lines were grown in the field and visually evaluated for SCA resistance during the growing seasons of 2019 and 2020 in Tifton, GA. In 2020, the SAP accessions were also evaluated for SCA resistance in the field using drone-based high throughput phenotyping (HTP) and visual scoring under greenhouse conditions. Plant height and flowering time were also recorded in the field to confirm that our methods were sufficient for identifying known quantitative trait loci (QTL). This study combined phenotypic data from field-based visual ratings, reflectance data, and greenhouse evaluations to identify genome-wide associated (GWAS) marker-trait associations (MTA) using genotyping-by-sequencing (GBS) data. Several MTAs were identified for sugarcane aphid-related traits across the genome, with a few common markers that were consistently identified on SBI-08 and SBI-10 for aphid count and plant damage as well as for reflectance indices-based traits on SBI-02, SBI-03, and SBI-05. Candidate genes encoding leucine-rich repeats (LRR), Avr proteins, lipoxygenases (LOXs), calmodulins (CAM) dependent protein kinase, WRKY transcription factors, flavonoid biosynthesis genes, and 12-oxo-phytodienoic acid reductase are identified near SNPs that had significant associations with different SCA traits. In this study, plant height and flowering time-related genes were also identified. The total phenotypic variation explained by significant SNPs across SCA-scored traits, plant height, and flowering time ranged from 0 to 74%, while the heritability value ranged from 4 to 74%. These results supported the existing literature, and also revealed several new loci. Markers identified in this study will support marker-assisted breeding for sugarcane aphid resistance.

Variation in Soybean Aphid (Hemiptera: Aphididae) Biotypes Within Fields

2021 ◽  
Author(s):  
S J Bhusal ◽  
R L Koch ◽  
A J Lorenz
Keyword(s):  
Resistance Genes ◽  
Environmental Sustainability ◽  
Soybean Aphid ◽  
Aphis Glycines ◽  
Aphid Resistance ◽  
Soybean Cultivars ◽  
Major Pest ◽  
Single Field ◽  
Aphis Glycines Matsumura ◽  
Multiple Resistance Genes

Abstract Soybean aphid (Aphis glycines Matsumura (Hemiptera: Aphididae)) has been a major pest of soybean in North America since its detection in this continent in 2000 and subsequent spread. Although several aphid resistance genes have been identified, at least four soybean aphid biotypes have been discovered, with three of them being virulent on soybean cultivars with certain soybean aphid resistance genes. These biotypes are known to vary across years and locations, but information on their variation within single fields is limited. An investigation was conducted to study the variation of soybean aphid biotypes within single townships and fields in Minnesota. Screening of 28 soybean aphid isolates collected from seven soybean fields (six soybean fields in Cairo and Wellington Townships of Renville County, MN and one field in Wilmar Township of Kandiyohi County, MN) revealed the existence of multiple known biotypes of soybean aphid within single fields of soybean. We found up to three biotypes of soybean aphid in a single field. Two biotypes were found in five fields while only one field had only a single biotype. Three isolates presented reactions on a panel of resistant and susceptible indicator lines that were different from known biotypes. These results highlight the importance of characterizing soybean aphid biotypes in small geographical areas and utilizing generated knowledge to develop soybean cultivars pyramided with multiple resistance genes. The outcome will be decreased use of insecticides, thereby improving economic and environmental sustainability of soybean production.

scholarly journals Comparative Transcriptome Analysis Reveals Genetic Mechanisms of Sugarcane Aphid Resistance in Grain Sorghum

2021 ◽  
Vol 22 (13) ◽  
pp. 7129
Author(s):  
Desalegn D. Serba ◽  
Xiaoxi Meng ◽  
James Schnable ◽  
Elfadil Bashir ◽  
J. P. Michaud ◽  
...  
Keyword(s):  
Differential Expression ◽  
Molecular Mechanisms ◽  
Grain Sorghum ◽  
Lipid Binding ◽  
Multiple Time ◽  
Melanaphis Sacchari ◽  
Resistant Genotype ◽  
Sugarcane Aphid ◽  
Genetic Mechanisms ◽  
Moderately Resistant

The sugarcane aphid, Melanaphis sacchari (Zehntner) (Hemiptera: Aphididae) (SCA), has become a major pest of grain sorghum since its appearance in the USA. Several grain sorghum parental lines are moderately resistant to the SCA. However, the molecular and genetic mechanisms underlying this resistance are poorly understood, which has constrained breeding for improved resistance. RNA-Seq was used to conduct transcriptomics analysis on a moderately resistant genotype (TAM428) and a susceptible genotype (Tx2737) to elucidate the molecular mechanisms underlying resistance. Differential expression analysis revealed differences in transcriptomic profile between the two genotypes at multiple time points after infestation by SCA. Six gene clusters had differential expression during SCA infestation. Gene ontology enrichment and cluster analysis of genes differentially expressed after SCA infestation revealed consistent upregulation of genes controlling protein and lipid binding, cellular catabolic processes, transcription initiation, and autophagy in the resistant genotype. Genes regulating responses to external stimuli and stress, cell communication, and transferase activities, were all upregulated in later stages of infestation. On the other hand, expression of genes controlling cell cycle and nuclear division were reduced after SCA infestation in the resistant genotype. These results indicate that different classes of genes, including stress response genes and transcription factors, are responsible for countering the physiological effects of SCA infestation in resistant sorghum plants.

scholarly journals Greenhouse Evaluation of Insecticides for Control of Yellow Sugarcane Aphid and Greenbug on Sorghum Seedlings, 1994

1995 ◽  
Vol 20 (1) ◽  
pp. 230-230
Author(s):  
R. M. Anderson ◽  
G. L. Teetes
Keyword(s):  
Grain Sorghum ◽  
Hollow Cone ◽  
Soil Mixture ◽  
Insecticide Application ◽  
Sugarcane Aphid ◽  
Greenhouse Evaluation ◽  
Seedling Plant ◽  
Plant Emergence ◽  
Spray Volume ◽  
Pre Treatment

Abstract Foliar treatments of 2 organophosphates and imidachloprid (Confidor) were evaluated for yellow sugarcane aphid (YSA) and greenbug (GB) control in a research greenhouse at Texas A&M University. Hybrid grain sorghum seedlings (ATx399 × RTx430) were grown in 110-mm germination pots containing a prepared soil mixture composed of peat, vermiculite, and periite in a 2:1:1 ratio, respectively. Four days after plant emergence and 3 d prior to insecticide applications, each seedling plant was infested with 10-20 YSA or GB. There were 5 singleseedling replications for each treatment. Insecticides were applied by using a CO2-pressurized backpack sprayer, through TX-3 hollow-cone nozzles at 35 psi, producing a finished spray volume of 5.6 gpa. Pre-treatment counts of YSA and GB were made the day of insecticide application; post-treatment counts of aphids were made 1, 2, and 3 DAT. Percent control was calculated by using Abbott’s (1925) formula. Data were statistically analyzed by using ANOVA and LSD.

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