Search Results - "Tuinstra, Mitchell R."

Integrating multi-modal remote sensing, deep learning, and attention mechanisms for yield prediction in plant breeding experiments by Aviles Toledo, Claudia, Crawford, Melba M, Tuinstra, Mitchell R

“…In both plant breeding and crop management, interpretability plays a crucial role in instilling trust in AI-driven approaches and enabling the provision of…”
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A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers by Wang, Taojun, Crawford, Melba M, Tuinstra, Mitchell R

“…Yield for biofuel crops is measured in terms of biomass, so measurements throughout the growing season are crucial in breeding programs, yet traditionally…”
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Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data by Masjedi, Ali, Crawford, Melba M., Carpenter, Neal R., Tuinstra, Mitchell R.

“…High-throughput phenotyping using high spatial, spectral, and temporal resolution remote sensing (RS) data has become a critical part of the plant breeding…”
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Estimating Leaf Area Index in Row Crops Using Wheel-Based and Airborne Discrete Return Light Detection and Ranging Data by Nazeri, Behrokh, Crawford, Melba M, Tuinstra, Mitchell R

“…Leaf area index (LAI) is an important variable for characterizing plant canopy in crop models. It is traditionally defined as the total one-sided leaf area per…”
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Mutations in the dwarf3 gene confer height stability in sorghum by Diatta‐Holgate, Elisabeth, Bergsma, Ben, Tuinstra, Mitchell R.

“…Dwarfism is a useful trait in many crop plants because it contributes to improved lodging resistance and harvest index. The mutant allele dw3‐ref…”
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Genomic prediction and association mapping of maize grain yield in multi-environment trials based on reaction norm models by Tolley, Seth A., Brito, Luiz F., Wang, Diane R., Tuinstra, Mitchell R.

“…Genotype-by-environment interaction (GEI) is among the greatest challenges for maize breeding programs. Strong GEI limits both the prediction of genotype…”
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Presence of tannins in sorghum grains is conditioned by different natural alleles of Tannin1 by Wu, Yuye, Li, Xianran, Xiang, Wenwen, Zhu, Chengsong, Lin, Zhongwei, Wu, Yun, Li, Jiarui, Pandravada, Satchidanand, Ridder, Dustan D, Bai, Guihua, Wang, Ming L, Trick, Harold N, Bean, Scott R, Tuinstra, Mitchell R, Tesso, Tesfaye T, Yu, Jianming

“…Sorghum, an ancient old-world cereal grass, is the dietary staple of over 500 million people in more than 30 countries in the tropics and semitropics. Its C4…”
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Heterotic Patterns of Temperate and Tropical Maize by Ear Photometry by Tolley, Seth A., Singh, Amritpal, Tuinstra, Mitchell R.

“…As the plant variety protection (PVP) of commercial inbred lines expire, public breeding programs gain a wealth of genetic materials that have undergone many…”
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Community Resources and Strategies for Association Mapping in Sorghum by Casa, Alexandra M., Pressoir, Gael, Brown, Patrick J., Mitchell, Sharon E., Rooney, William L., Tuinstra, Mitchell R., Franks, Cleve D., Kresovich, Stephen

“…Association mapping is a powerful strategy for identifying genes underlying quantitative traits in plants. We have assembled and characterized genetic and…”
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Modeling of Environmental Impacts on Aerial Hyperspectral Images for Corn Plant Phenotyping by Ma, Dongdong, Rehman, Tanzeel U., Zhang, Libo, Maki, Hideki, Tuinstra, Mitchell R., Jin, Jian

“…Aerial imaging technologies have been widely applied in agricultural plant remote sensing. However, an as yet unexplored challenge with field imaging is that…”
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Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images by Ma, Dongdong, Rehman, Tanzeel U., Zhang, Libo, Maki, Hideki, Tuinstra, Mitchell R., Jin, Jian

“…Airborne remote sensing technologies have been widely applied in field crop phenotyping. However, the quality of current remote sensing data suffers from…”
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Genetic diversity for starch quality and alkali spreading value in sorghum by Griebel, Stefanie, Adedayo, Adeyanju, Tuinstra, Mitchell R.

“…Sorghum is an important food crop in many parts of Africa and Asia. Landraces of sorghum are known to exhibit variation in food quality traits including starch…”
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4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography by Herrero-Huerta, Monica, Meline, Valerian, Iyer-Pascuzzi, Anjali S, Souza, Augusto M, Tuinstra, Mitchell R, Yang, Yang

“…Abstract Background Breakthrough imaging technologies may challenge the plant phenotyping bottleneck regarding marker-assisted breeding and genetic mapping. In…”
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Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling by Tolley, Seth A, Carpenter, Neal, Crawford, Melba M, Delp, Edward J, Habib, Ayman, Tuinstra, Mitchell R

“…Remote sensing enables the rapid assessment of many traits that provide valuable information to plant breeders throughout the growing season to improve genetic…”
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Allelochemicals targeted to balance competing selections in African agroecosystems by Wu, Yuye, Guo, Tingting, Mu, Qi, Wang, Jinyu, Li, Xin, Wu, Yun, Tian, Bin, Wang, Ming Li, Bai, Guihua, Perumal, Ramasamy, Trick, Harold N., Bean, Scott R., Dweikat, Ismail M., Tuinstra, Mitchell R., Morris, Geoffrey, Tesso, Tesfaye T., Yu, Jianming, Li, Xianran

“…Among major cereals domesticated as staple food, only sorghum has a high proportion of cultivars with condensed tannins in grain, which can trigger bitter…”
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Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection by Wang, Ming L, Zhu, Chengsong, Barkley, Noelle A, Chen, Zhenbang, Erpelding, John E, Murray, Seth C, Tuinstra, Mitchell R, Tesso, Tesfaye, Pederson, Gary A, Yu, Jianming

“…Sweet sorghum has the potential to become a versatile feedstock for large-scale bioenergy production given its sugar from stem juice, cellulose/hemicellulose…”
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Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments by Ojeda, Jonathan J., Hammer, Graeme, Yang, Kai‐Wei, Tuinstra, Mitchell R., deVoil, Peter, McLean, Greg, Huber, Isaiah, Volenec, Jeffrey J., Brouder, Sylvie M., Archontoulis, Sotirios, Chapman, Scott C.

“…Regional‐scale estimations of sorghum biomass production allow identification of optimum genotype×environment×management (G×E×M) combinations for bioenergy…”
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Comparison of Various Nitrogen and Water Dual Stress Effects for Predicting Relative Water Content and Nitrogen Content in Maize Plants through Hyperspectral Imaging by Maki, Hideki, Lynch, Valerie, Ma, Dongdong, Tuinstra, Mitchell R., Yamasaki, Masanori, Jin, Jian

“…Water and nitrogen (N) are major factors in plant growth and agricultural production. However, these are often confounded and produce overlapping symptoms of…”
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Rapid determination of protein digestibility in sorghum before and after cooking by Diatta-Holgate, Elisabeth, Anderson, Jacqueline S., Hatch, Roselyn, Tuinstra, Mitchell R., Weil, Clifford

“…Quantifying the digestibility of proteins in cereal grain is important for assessing and improving the nutritional quality of the grain after ingestion. This…”
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Crop improvement influences on water quantity and quality processes in an agricultural watershed by Ren, Dongyang, Engel, Bernard, Tuinstra, Mitchell R.

“…•Crop trait changes in recent decades were summarized and quantified.•Crop improvements have more significant effects on water quality than quantity.•The most…”
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