Melanie Caffe

Characterization of oat chromosome rearrangements in advanced breeding lines and implications for genetic improvement

Guilherme Chierrito de Oliveira, Wubishet A. Bekele, Françoise Dalprá Dariva, Sumandeep Bazzer et autres

Large-scale chromosomal rearrangements or structural variants (SVs) have shaped the evolution of Avena species, driving domestication and adaptation in oats (Avena sativa L.). The legacy of these reorganizations, including translocations and inversions, remains evident, yet their frequency and impact on phenotypic and …

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Genotype, environment and management effects on grain yield, milling quality, and nutritional density of oat in the Northern Great Plains

Dhurba Neupane, Paul Richter, Melanie Caffe, Sharon K. Schneider et autres

Purpose Milling markets and farmers demand grain characteristics that are consistent despite weather extremes. These characteristics may also be negatively correlated, such as between yield and nutritional value, thus imposing tradeoffs on managers and grain purchasers. This complicates variety selection and management. …

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Global genomic population structure of wild and cultivated oat reveals signatures of chromosome rearrangements

Wubishet A. Bekele, Raz Avni, Clayton L. Birkett, Asuka Itaya et autres

The genus Avena consists of approximately 30 wild and cultivated oat species. Cultivated oat is an important food crop, yet the broader genetic diversity within the Avena gene pool remains underexplored and underexploited. Here, we characterize over 9000 wild and cultivated hexaploid …

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Registration of oat cultivar ‘SD Buffalo’

Melanie Caffe, Nicholas Hall, Jonathan Kleinjan, Christopher J. Graham et autres

Abstract Oat ( Avena sativa L.)–based food products are of interest to U.S. consumers for the health benefits associated with their consumption. The United States is home to the largest oat milling industry in the world, with a majority of its oat …

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Unraveling genomic regions and optimizing genomic predictions for grain yield and yield-related traits in oats (Avena sativa L.)

Guilherme Chierrito de Oliveira, Sumandeep Kaur Bazzer, Jason D. Fiedler, Raja Sekhar Nandety et autres

Abstract Selecting for high grain yield is an intrinsic target of most crop breeding programs. However, the genetic complexity of the trait and its strong interactions with environmental factors pose significant challenges, hindering quick and efficient genetic improvement. This scenario is especially …

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Genotype, environment and management effects on grain yield, milling quality, and nutritional density of oat in the Northern Great Plains

Dhurba Neupane, Paul Richter, Melanie Caffe, Sharon K. Schneider et autres

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Genomic strategies to facilitate breeding for increased β-Glucan content in oat (Avena sativa L.)

Sumandeep Kaur Bazzer, Guilherme Chierrito de Oliveira, Jason D. Fiedler, Raja Sekhar Nandety et autres

BACKGROUND: Hexaploid oat (Avena sativa L.) is a commercially important cereal crop due to its soluble dietary fiber β-glucan, a hemicellulose known to prevent cardio-vascular diseases. To maximize health benefits associated with the consumption of oat-based food products, breeding efforts have aimed …

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Global genomic population structure of wild and cultivated oat reveals signatures of chromosome rearrangements

Wubishet A. Bekele, Raz Avni, Clayton L. Birkett, Asuka Itaya et autres

ca, de, us, es, au, tw, cn, gb, pl (code pays fourni par la source)

Registration of CDL‐111 and CDL‐167 oat germplasm lines with pyramided adult plant crown rust resistance

Eric S. Nazareno, Roger Caspers, Melanie Caffe, Kevin P. W. Smith et autres

Abstract Oat (Avena sativa L.) production worldwide is constrained by crown rust (caused by Puccinia coronata f. sp. avenae), which can cause significant yield losses. The disease is often controlled by spraying fungicides or planting resistant cultivars. Developing host resistance, however, is …

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Genomic prediction for targeted populations of environments in oat (Avena sativa)

Pablo Sandro, Madhav Bhatta, Alisha Bower, Sarah Carlson et autres

Context Long-term multi-environment trials (METs) could improve genomic prediction models for plant breeding programs by better representing the target population of environments (TPE). However, METs are generally highly unbalanced because genotypes are routinely dropped from trials after a few years. Furthermore, in …

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Evaluation of Morpho-Physiological Traits of Oat (Avena sativa L.) under Drought Stress

Krishna Ghimire, Isabel McIntyre, Melanie Caffe

The increase in intensity and frequency of drought due to global climate change has increased the urgency of developing crop cultivars suitable for dry environments. Drought tolerance is a complex trait that involves numerous physiological, biochemical, and morphological responses. A better understanding …

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Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning

Rakshya Dhakal, Maitiniyazi Maimaitijiang, Jiyul Chang, Melanie Caffe

Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating plant performance and selecting superior genotypes. Traditional methods for phenotyping above-ground biomass in field conditions requires significant time, cost, and labor. Unmanned Aerial Vehicles (UAVs) offer a rapid and …

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