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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
16/02/2022 |
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Actualizado : |
16/02/2022 |
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Autor : |
SINGH, D. P.; SINGH, A. K.; SING, A. |
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Afiliación : |
DHAN PAL SINGH, G. B. Plant University of Agriculture and Technology, Uttarakhand, India.; ASHEESH K. SINGH, Department of Agronomy, Iowa State University, USA.; ARTI SINGH, Department of Agronomy, Iowa State University, USA. |
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Título : |
Plant breeding and cultivar development. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Singapore: Science Press; Springer, 2022, 564 p. |
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ISBN : |
e-ISBN 9780128175644 |
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Idioma : |
Inglés |
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Contenido : |
Plant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation. The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work. |
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Palabras claves : |
CULTIVOS; FITOMEJORAMIENTO; HISTORIA; MEJORAMIENTO GENÉTICO VEGETAL. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
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100 1 $aSINGH, D. P.
245 $aPlant breeding and cultivar development.$h[electronic resource]
260 $aSingapore: Science Press; Springer, 2022, 564 p.$c2021
520 $aPlant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation. The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work.
653 $aCULTIVOS
653 $aFITOMEJORAMIENTO
653 $aHISTORIA
653 $aMEJORAMIENTO GENÉTICO VEGETAL
700 1 $aSINGH, A. K.
700 1 $aSING, A.
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Registro original : |
INIA Treinta y Tres (TT) |
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