Translating Physiological Tools to Augment Crop Breeding
tarafından
Harohalli Masthigowda, Mamrutha. editor.
Başlık
:
Translating Physiological Tools to Augment Crop Breeding
Yazar
:
Harohalli Masthigowda, Mamrutha. editor.
ISBN
:
9789811974984
Basım Bilgisi
:
1st ed. 2023.
Fiziksel Tanımlama
:
XIV, 457 p. 1 illus. online resource.
İçerik
:
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.
Konu Terimleri
:
Botany.
Plant physiology.
Agricultural genome mapping.
Agriculture.
Plant Science.
Agricultural Genetics.
Yazar Ek Girişi
:
Harohalli Masthigowda, Mamrutha.
Gopalareddy, Krishnappa.
Khobra, Rinki.
Singh, Gyanendra.
Pratap Singh, Gyanendra.
Tüzel Kişi Ek Girişi
:
SpringerLink (Online service)
Elektronik Erişim
:
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