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Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

机译：高通量表型的冠层温度和植被指数提高了谱系的准确性和小麦籽粒产量的基因组选择

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Citation: Rutkoski, J., Poland, J., Mondal, S., Autrique, E., Perez, L. G., Crossa, J., . . . Singh, R. (2016). Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat. G3-Genes Genomes Genetics, 6(9), 2799-2808. doi:10.1534/g3.116.032888

机译：引用：Rutkoski，J.，Poland，J.，Mondal，S.，Autrique，E.，Perez，L.G.，Crossa，J。，。。。辛格河（2016）。高通量表型的冠层温度和植被指数提高了谱系的准确性和小麦籽粒产量的基因组选择。 G3-Genes Genomes Genetics，6（9），2799-2808。 doi：10.1534 / g3.116.032888

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Rutkoski J.; Poland Jesse A.; Mondal S.; Autrique E.; Perez L. G.; Crossa J.; Reynolds M.; Singh R.;
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1. Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat [J] . Jessica Rutkoski, Jesse Poland, Suchismita Mondal, G3: Genes, Genomes, Genetics . 2016,第9期

机译：高通量表型的冠层温度和植被指数提高了谱系的准确性和小麦籽粒产量的基因组选择
2. High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage [J] . Sun Jin, Poland Jesse A., Mondal Suchismita, Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics . 2019,第6期

机译：高吞吐量表型平台增强小麦籽粒产量的基因组选择，在早期的群体和循环中产生的小麦籽粒产量
3. The Plant Genome Abstract - Original Research Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield [J] . Jin?Sun, Jessica E.?Rutkoski, Mark E.?Sorrells, The Plant Genome . 2017,第2期

机译：植物基因组摘要-高通量表型数据中的原始研究多性状，随机回归或简单可重复性模型改善了小麦籽粒产量的基因组预测
4. Combining UAV-based vegetation indices, canopy height and canopy coverage to improve rice yield prediction under different nitrogen levels [C] . American Society of Agricultural and Biological Engineers Annual International Meeting . 2019

机译：基于UAV的植被指数，冠层高度和遮篷覆盖率，提高不同氮水平的水稻产量预测
5. Relationship of Vegetation Indices from Drone-Based Passive Optical Sensors with Corn Grain Yield and Sugar Beet Root Yield and Quality [D] . Olson, Daniel Owen 2019

机译：基于无人机的无源光学传感器的植被指数与玉米籽粒产量，甜菜根产量和品质的关系
6. Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat [O] . Jessica Rutkoski, Jesse Poland, Suchismita Mondal, 2016

机译：高通量表型的冠层温度和植被指数提高了谱系的准确性和小麦籽粒产量的基因组选择
7. Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat [O] . Jessica Rutkoski, Jesse Poland, Suchismita Mondal, 2016

机译：高通量表型的冠层温度和植被指数提高小麦籽粒产量和基因组选择的准确性

Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

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