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Dive into the research topics where A. Susana Goggi is active.

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Featured researches published by A. Susana Goggi.


Science of The Total Environment | 2017

Damage assessment for soybean cultivated in soil with either CeO2 or ZnO manufactured nanomaterials

John H. Priester; Shelly Cole Moritz; Katherine Espinosa; Yuan Ge; Ying Wang; Roger M. Nisbet; Joshua P. Schimel; A. Susana Goggi; Jorge L. Gardea-Torresdey; Patricia A. Holden

With increasing use, manufactured nanomaterials (MNMs) may enter soils and impact agriculture. Herein, soybean (Glycine max) was grown in soil amended with either nano-CeO2 (0.1, 0.5, or 1.0gkg-1 soil) or nano-ZnO (0.05, 0.1, or 0.5gkg-1 soil). Leaf chlorosis, necrosis, and photosystem II (PSII) quantum efficiency were monitored during plant growth. Seed protein and protein carbonyl, plus leaf chlorophyll, reactive oxygen species (ROS), lipid peroxidation, and genotoxicity were measured for plants at harvest. Neither PSII quantum efficiency, seed protein, nor protein carbonyl indicated negative MNM effects. However, increased ROS, lipid peroxidation, and visible damage, along with decreased total chlorophyll concentrations, were observed for soybean leaves in the nano-CeO2 treatments. These effects correlated to aboveground leaf, pod, and stem production, and to root nodule N2 fixation potential. Soybeans grown in soil amended with nano-ZnO maintained growth, yield, and N2 fixation potential similarly to the controls, without increased leaf ROS or lipid peroxidation. Leaf damage was observed for the nano-ZnO treatments, and genotoxicity appeared for the highest nano-ZnO treatment, but only for one plant. Total chlorophyll concentrations decreased with increasing leaf Zn concentration, which was attributable to zinc complexes-not nano-ZnO-in the leaves. Overall, nano-ZnO and nano-CeO2 amended to soils differentially triggered aboveground soybean leaf stress and damage. However, the consequences of leaf stress and damage to N2 fixation, plant growth, and yield were only observed for nano-CeO2.


Agronomy for Sustainable Development | 2008

Seed quality of high protein corn lines in low input and conventional farming systems

Yara N. De Geus; A. Susana Goggi; Linda Pollak

Seed quality is a major issue for crop establishment especially in low input farming systems, where varieties often grow under more stressful conditions than in conventional farming systems. Corn (Zea mays L.) seed for organic (low input) production will eventually need to be grown organically, thus research is needed to ensure excellent seed quality in organic corn seed production. The objective of this study was to compare seed quality and composition differences between a group of high protein corn genotypes grown under low input and conventional farming systems, and to compare the relative seed quality of these genotypes to two well known inbreds, B73 or Mo17. Twenty high protein breeding genotypes were planted during two growing seasons in conventional and organic nurseries near Ames, Iowa, to produce seeds for laboratory tests. The germination, saturated cold, accelerated aging, and soak test percentages of seeds produced organically were 5 to 11% lower than for seeds produced conventionally. Protein, measured by near-infrared reflectance, was unaffected by the production location, but the oil content of seeds produced organically was significantly higher (between 0.2 and 0.3% higher) than in the conventional system. Location by genotype interactions for most tests were non significant both years, indicating that genotypes selected for high seed quality in a conventional system will also have high seed quality when grown in a low input, organic system.


American Journal of Agricultural Economics | 2009

Insuring Against Losses from Transgenic Contamination: The Case of Pharmaceutical Maize

David Ripplinger; Dermot J. Hayes; A. Susana Goggi; Kendall R. Lamkey

Concerns about the risk of food supply contamination have limited the development and commercialization of certain pharmaceutical plants. This article develops an insurance pricing model that helps translate these concerns into a cost-benefit analysis. The model first estimates the physical dispersal of maize pollen subject to a number of weather parameters. This distribution is then validated with the limited amount of currently available field trial data. The physical distribution is then used to calculate the premium for a fair-valued insurance policy that would fund the destruction of possibly contaminated fields. The flexible framework can be readily adapted to other crops, management practices, and regions.


Plant Science | 2016

Soybean proteins GmTic110 and GmPsbP are crucial for chloroplast development and function.

Devinder Sandhu; Taylor Atkinson; Andrea Noll; Callie Johnson; Katherine Espinosa; Jessica Boelter; Stephanie Abel; Balpreet K. Dhatt; Terese Barta; Eric L. Singsaas; Sol Sepsenwol; A. Susana Goggi; Reid G. Palmer

We have identified a viable-yellow and a lethal-yellow chlorophyll-deficient mutant in soybean. Segregation patterns suggested single-gene recessive inheritance for each mutant. The viable- and lethal-yellow plants showed significant reduction of chlorophyll a and b. Photochemical energy conversion efficiency and photochemical reflectance index were reduced in the viable-yellow plants relative to the wildtype, whereas the lethal-yellow plants showed no electron transport activity. The viable-yellow plants displayed reduced thylakoid stacking, while the lethal-yellow plants exhibited failure of proplastid differentiation into normal chloroplasts with grana. Genetic analysis revealed recessive epistatic interaction between the viable- and the lethal-yellow genes. The viable-yellow gene was mapped to a 58kb region on chromosome 2 that contained seven predicted genes. A frame shift mutation, due to a single base deletion in Glyma.02g233700, resulted in an early stop codon. Glyma.02g233700 encodes a translocon in the inner membrane of chloroplast (GmTic110) that plays a critical role in plastid biogenesis. The lethal-yellow gene was mapped to an 83kb region on chromosome 3 that contained 13 predicted genes. Based on the annotated functions, we sequenced three potential candidate genes. A single base insertion in the second exon of Glyma.03G230300 resulted in a truncated protein. Glyma.03G230300 encodes for GmPsbP, an extrinsic protein of Photosystem II that is critical for oxygen evolution during photosynthesis. GmTic110 and GmPsbP displayed highly reduced expression in the viable- and lethal-yellow mutants, respectively. The yellow phenotypes in the viable- and lethal-yellow mutants were due to the loss of function of GmTic110 or GmPsbP resulting in photooxidative stress.


Crop Management | 2006

Improving Corn Grain Purity by Using Color-Sorting Technology

A. Susana Goggi; Kamal Mohamed Adam; Higinio Sanchez; Mark E. Westgate

Color sorting is often used to remove unwanted off-colored contaminants. The objectives of this study were to determine the usefulness of color sorting in removing adventitious corn from a seed lot and to evaluate the impact of contaminant color on efficacy. Seed lots of two contrasting colors were used in the experiments: yellow corn in a white lot and purple corn in a yellow lot. Samples were collected from three experimental sites: two white corn seed production fields surrounding a yellow pollen source, and a yellow corn seed production field surrounding a purple popcorn pollen source. Collected samples were color sorted in three successive passes. Outcross levels in the original nonsorted samples ranged from 0.10 to 38.55% in the yellow and white samples and from 0.61 to 45.78% in the purple and yellow samples. Color sorting reduced the percentage of outcross of yellow and purple kernels in the sample. The percentage of yellow seeds in white-seeded corn was reduced to 6.22% in samples collected at 3 ft and 0.01% at 820 ft from the source. The percentage of blue seeds in yellow-seeded corn samples was reduced to 0.58 at 0 ft and 0% at 270 ft from the source. These results indicate that color sorting is very effective at removing outcross seeds.


Field Crops Research | 2006

Statistical analysis of outcrossing between adjacent maize grain production fields

A. Susana Goggi; Petrutza Caragea; Higinio Lopez-Sanchez; Mark E. Westgate; Raymond W. Arritt; Craig A. Clark


Field Crops Research | 2007

Lagrangian numerical simulations of canopy air flow effects on maize pollen dispersal

Raymond W. Arritt; Craig A. Clark; A. Susana Goggi; Higinio Sanchez; Mark E. Westgate; Jenny M. Riese


International Journal of Biometeorology | 2007

Gene flow in maize fields with different local pollen densities.

A. Susana Goggi; Higinio Lopez-Sanchez; Petrutza Caragea; Mark E. Westgate; Raymond W. Arritt; Craig A. Clark


Journal of Cereal Science | 2012

Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels

Lidia Esteve Agelet; David D. Ellis; Susan A. Duvick; A. Susana Goggi; Charles R. Hurburgh; Candice Gardner


Crop Science | 2004

Seed quality of maize inbred lines with different composition and genetic backgrounds

Miriam Rukero Munamava; A. Susana Goggi; Linda Pollak

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Linda Pollak

Agricultural Research Service

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