Results 151 to 160 of about 21,506 (211)
Effects of using deep learning to predict the geographic origin of barley genebank accessions on genome-environment association studies. [PDF]
Chang CW, Schmid K.
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Genome-Wide, High-Density Genotyping Approaches for Plant Germplasm Characterisation (Methods and Applications). [PDF]
Werghi S +3 more
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High-quality whole genome data of <i>Hippotion velox</i>. [PDF]
ChaoTang +5 more
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Near complete T2T genome assembly of the banded goonch (Bagarius rutilus). [PDF]
Liu Y +7 more
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Engineering T3 and T7 host range to target protein receptors and guide bacterial evolution. [PDF]
Ogari C, Yehl K.
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Deciphering the Origins of Commercial Sweetpotato Genotypes Using International Genebank Data. [PDF]
Mello AFS +11 more
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Unravelling phenotypic variations and establishing a core collection in mungbean for accelerating the crop improvement programs. [PDF]
Kalia RK +19 more
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The Professional Geographer, 1987
The number of crop genebanks, designed to conserve crop genetic resources and make them available to breeders, has risen dramatically in recent years. While few dispute the need to conserve crop germplasm to help boost and sustain agricultural productivity, the role of genebanks and their global distribution has become embroiled in controversy.
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The number of crop genebanks, designed to conserve crop genetic resources and make them available to breeders, has risen dramatically in recent years. While few dispute the need to conserve crop germplasm to help boost and sustain agricultural productivity, the role of genebanks and their global distribution has become embroiled in controversy.
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