Harnessing the hidden allelic diversity of wild Cicer to accelerate genomics-assisted chickpea crop improvement-Reference-Cited by-同舟云学术

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Harnessing the hidden allelic diversity of wild Cicer to accelerate genomics-assisted chickpea crop improvement

Published:2022-06 Issue:6 Volume:49 Page:5697-5715
ISSN:0301-4851
Container-title:Molecular Biology Reports
language:en
Short-container-title:Mol Biol Rep

Author:

Mohanty Jitendra Kumar,Jha Uday Chand,Dixit G. P.,Parida Swarup K.

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11033-022-07613-9.pdf

Reference143 articles.

1. Singh M, Malhotra N, Singh K (2021) Broadening the genetic base of cultivated chickpea following introgression of wild Cicer species-progress, constraints and prospects. Genet Resour Crop Evol 68:2181–2205

2. Deb AC, Khaleque MA (2009) Nature of gene action of some quantitative traits in chickpea (Cicer arietinum L.). World J Agric Sci 5:361–368

3. Gil J, Nadal S, Luna D et al (1996) Variability of some physico-chemical characters in Desi and Kabuli chickpea types. J Sci Food Agric 71:179–184

4. Thudi M, Chitikineni A, Liu X et al (2016) Recent breeding programs enhanced genetic diversity in both desi and kabuli varieties of chickpea (Cicer arietinum L.). Sci Rep 6:38636

5. Varshney RK, Kudapa H, Roorkiwal M et al (2012) Advances in genetics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies. J Biosci 37:811–820

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1. Biological, morphological and biochemical features of seeds of introduced genotypes of Cicer arietinum L.;PLANT AND SOIL SCIENCE;2023-07-04

2. Harnessing genetic variability for shoot and root morphophysiological traits contributing to drought stress tolerance in pre-breeding lines chickpea (Cicer arietinum L.) under hydroponics condition;INDIAN J GENET PL BR;2023

3. Ascochyta Blight of Chickpea: A Menace to Be Managed by Resistance Breeding;Diseases in Legume Crops;2023

4. Machine learning algorithms: their applications in plant omics and agronomic traits’ improvement;F1000Research;2022-11-04

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