Legume Research

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Research Article

Legume Research, volume 44 issue 3 (march 2021) : 275-280

Haploid Culture and Double Haploid Induction in Medicago sativa L. cv. XinJiangDaYe

Bo Xu, Rina Wu, Fang Tang, Cuiping Gao, Xia Gao, Fengling Shi
1College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, China.

  • Submitted02-07-2020|

  • Accepted29-08-2020|

  • First Online 10-11-2020|

  • doi 10.18805/LR-575

Cite article:- Xu Bo, Wu Rina, Tang Fang, Gao Cuiping, Gao Xia, Shi Fengling (2020). Haploid Culture and Double Haploid Induction in Medicago sativa L. cv. XinJiangDaYe. Legume Research. 44(3): 275-280. doi: 10.18805/LR-575.

ABSTRACT

Background: Alfalfa (Medicago Sativa), a perennial cross-pollinated plant, is one of the most important forage crops in the world with commercial value and ecological significance. However, due to the complexity of its genome, varietal improvement is difficult. Therefore, generating genetically homozygous materials have greater significance for breeding. In the current study, we aimed to identify the best tissue culture conditions to obtain haploid plants and double haploid plants.
Methods: In this study, the haploid plants of alfalfa were obtained by combining tissue culture regeneration system with Flow cytometry. Different concentrations of colchicine were applied to the haploid plants using solid and liquid cultivation methods to determine the optimum conditions to obtain double haploid plants of Medicago Sativa L. cv. ‘XinJiangDaYe’. 
Result: Among the two colchicine cultivation methods tested, the doubling rate of regenerated plants obtained by liquid cultivation method was higher and the leaves developed under this system have the best doubling effect among the three explants tested. Optimal doubling conditions for alfalfa haploid (Medicago Sativa L. cv. ‘XinJiangDaYe’) were identified. The double haploid plant material generated from the current study could serve as a genetic resource for developing the hybrid combinations and for analyzing genetic linkage in alfalfa improvement programs.

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