東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Translating physiological tools to a...

Mamrutha, Harohalli Masthigowda.

Linked to FindBook

Google Book

Amazon

博客來

Translating physiological tools to augment crop breeding

Record Type:	Electronic resources : Monograph/item
Title/Author:	Translating physiological tools to augment crop breeding/ edited by Mamrutha Harohalli Masthigowda ... [et al.].
other author:	Mamrutha, Harohalli Masthigowda.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiv, 457 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Importance of integrating physiological breeding to augment crop breeding -- 2. Stacking of complex traits through physiological pre breeding -- 3. Strategies to develop heat and drought tolerant wheat varieties following physiological breeding -- 4. Developing crop varieties by physiological breeding for improving plant nutrition -- 5. Role of Transpiration in Regulating Leaf Temperature and its Application in Physiological Breeding -- 6. Photosynthesis as a trait for improving yield potential in crops -- 7. Cuticular waxes and its application in crop improvement -- 8. Radiation use efficiency (RUE)-target for improving yield potential: Current status and future prospect -- 9. Application of Stable Isotopes in Crop Improvement -- 10. Root phenotyping for improved resource use efficiency in crops -- 11. Root system architecture and phenotyping for improved resource use efficiency in crops -- 12. Harnessing Root associated traits and Rhizosphere efficiency for Crop improvement -- 13. High throughput phenomics of crops for water and nitrogen stress -- 14. Metabolomics as a selection tool for abiotic stress tolerance in crops -- 15. Remote Sensing Algorithms and their Applications in Plant Phenotyping -- 16. Endophyte mediated crop improvement: Manipulation of abiotic stress-specific traits -- 17. Impact of high temperature stress on selected food grain crops -- 18. Morpho-physiological basis of finger millet to withstand climatic extremes: A special reference to drought -- 19. Comprehending the physiological efficiency of millets under abiotic stress -- 20. Role of Next-generation sequencing in trait identification, genetic mapping, and crop improvement -- 21. Application of Artificial Intelligence and Machine Learning in Agriculture.
Contained By:	Springer Nature eBook
Subject:	Plant breeding. -
Online resource:	https://doi.org/10.1007/978-981-19-7498-4
ISBN:	9789811974984

Translating physiological tools to augment crop breeding
Translating physiological tools to augment crop breeding[electronic resource] /edited by Mamrutha Harohalli Masthigowda ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiv, 457 p. :ill., digital ;24 cm.

1. Importance of integrating physiological breeding to augment crop breeding -- 2. Stacking of complex traits through physiological pre breeding -- 3. Strategies to develop heat and drought tolerant wheat varieties following physiological breeding -- 4. Developing crop varieties by physiological breeding for improving plant nutrition -- 5. Role of Transpiration in Regulating Leaf Temperature and its Application in Physiological Breeding -- 6. Photosynthesis as a trait for improving yield potential in crops -- 7. Cuticular waxes and its application in crop improvement -- 8. Radiation use efficiency (RUE)-target for improving yield potential: Current status and future prospect -- 9. Application of Stable Isotopes in Crop Improvement -- 10. Root phenotyping for improved resource use efficiency in crops -- 11. Root system architecture and phenotyping for improved resource use efficiency in crops -- 12. Harnessing Root associated traits and Rhizosphere efficiency for Crop improvement -- 13. High throughput phenomics of crops for water and nitrogen stress -- 14. Metabolomics as a selection tool for abiotic stress tolerance in crops -- 15. Remote Sensing Algorithms and their Applications in Plant Phenotyping -- 16. Endophyte mediated crop improvement: Manipulation of abiotic stress-specific traits -- 17. Impact of high temperature stress on selected food grain crops -- 18. Morpho-physiological basis of finger millet to withstand climatic extremes: A special reference to drought -- 19. Comprehending the physiological efficiency of millets under abiotic stress -- 20. Role of Next-generation sequencing in trait identification, genetic mapping, and crop improvement -- 21. Application of Artificial Intelligence and Machine Learning in Agriculture.

This book covers different physiological processes, tools, and their application in crop breeding. Each chapter emphasizes on a specific trait/physiological process and its importance in crop, their phenotyping information and how best it can be employed for crop improvement by projecting on success stories in different crops. It covers wide range of physiological topics including advances in field phenotyping, role of endophytic fungi, metabolomics, application of stable isotopes, high throughput phenomics, transpiration efficiency, root phenotyping and root exudates for improved resource use efficiency, cuticular wax and its application, advances in photosynthetic studies, leaf spectral reflectance and physiological breeding in hardy crops like millets. This book also covers the futuristic research areas like artificial intelligence and machine learning. This contributed volume compiles all application parts of physiological tools along with their advanced research in these areas, which is very much need of the hour for both academics and researchers for ready reference. This book will be of interest to teachers, researchers, climate change scientists, capacity builders, and policy makers. Also, the book serves as additional reading material for undergraduate and graduate students of agriculture, physiology, botany, ecology, and environmental sciences. National and international agricultural scientists will also find this a useful resource.

ISBN: 9789811974984

Standard No.: 10.1007/978-981-19-7498-4doiSubjects--Topical Terms:

592557
Plant breeding.

LC Class. No.: SB123

Dewey Class. No.: 631.52

Translating physiological tools to augment crop breeding
LDR:04244nmm a2200325 a 4500 001 2316742
003 DE-He213
005 20230419093518.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789811974984 $q (electronic bk.)
020 $a 9789811974977 $q (paper)
024 7 $a 10.1007/978-981-19-7498-4 $2 doi
035 $a 978-981-19-7498-4
040 $a GP $c GP
041 0 $a eng
050 4 $a SB123
072 7 $a PST $2 bicssc
072 7 $a SCI011000 $2 bisacsh
072 7 $a PST $2 thema
082 0 4 $a 631.52 $2 23
090 $a SB123 $b .T772 2023
245 0 0 $a Translating physiological tools to augment crop breeding $h [electronic resource] / $c edited by Mamrutha Harohalli Masthigowda ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xiv, 457 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Importance of integrating physiological breeding to augment crop breeding -- 2. Stacking of complex traits through physiological pre breeding -- 3. Strategies to develop heat and drought tolerant wheat varieties following physiological breeding -- 4. Developing crop varieties by physiological breeding for improving plant nutrition -- 5. Role of Transpiration in Regulating Leaf Temperature and its Application in Physiological Breeding -- 6. Photosynthesis as a trait for improving yield potential in crops -- 7. Cuticular waxes and its application in crop improvement -- 8. Radiation use efficiency (RUE)-target for improving yield potential: Current status and future prospect -- 9. Application of Stable Isotopes in Crop Improvement -- 10. Root phenotyping for improved resource use efficiency in crops -- 11. Root system architecture and phenotyping for improved resource use efficiency in crops -- 12. Harnessing Root associated traits and Rhizosphere efficiency for Crop improvement -- 13. High throughput phenomics of crops for water and nitrogen stress -- 14. Metabolomics as a selection tool for abiotic stress tolerance in crops -- 15. Remote Sensing Algorithms and their Applications in Plant Phenotyping -- 16. Endophyte mediated crop improvement: Manipulation of abiotic stress-specific traits -- 17. Impact of high temperature stress on selected food grain crops -- 18. Morpho-physiological basis of finger millet to withstand climatic extremes: A special reference to drought -- 19. Comprehending the physiological efficiency of millets under abiotic stress -- 20. Role of Next-generation sequencing in trait identification, genetic mapping, and crop improvement -- 21. Application of Artificial Intelligence and Machine Learning in Agriculture.
520 $a This book covers different physiological processes, tools, and their application in crop breeding. Each chapter emphasizes on a specific trait/physiological process and its importance in crop, their phenotyping information and how best it can be employed for crop improvement by projecting on success stories in different crops. It covers wide range of physiological topics including advances in field phenotyping, role of endophytic fungi, metabolomics, application of stable isotopes, high throughput phenomics, transpiration efficiency, root phenotyping and root exudates for improved resource use efficiency, cuticular wax and its application, advances in photosynthetic studies, leaf spectral reflectance and physiological breeding in hardy crops like millets. This book also covers the futuristic research areas like artificial intelligence and machine learning. This contributed volume compiles all application parts of physiological tools along with their advanced research in these areas, which is very much need of the hour for both academics and researchers for ready reference. This book will be of interest to teachers, researchers, climate change scientists, capacity builders, and policy makers. Also, the book serves as additional reading material for undergraduate and graduate students of agriculture, physiology, botany, ecology, and environmental sciences. National and international agricultural scientists will also find this a useful resource.
650 0 $a Plant breeding. $3 592557
650 0 $a Plant genetic engineering. $3 587589
650 0 $a Plant physiology. $3 518581
650 1 4 $a Plant Science. $3 3531282
650 2 4 $a Plant Physiology. $3 864040
650 2 4 $a Agricultural Genetics. $3 3591600
650 2 4 $a Agriculture. $3 518588
700 1 $a Mamrutha, Harohalli Masthigowda. $3 3630234
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-19-7498-4
950 $a Biomedical and Life Sciences (SpringerNature-11642)