基于物理生物化学选择指数和产量试验的干旱耐受性高产基因型的选和选择
Prakash N Tiwari1, Sharad Tiwari1, Swapnil Sapre1
1Biotechnology Centre, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur 482004, India.
Life (Basel, Switzerland)
|June 28, 2023
概括
干旱压力威胁到豆生产和粮食安全. 这项研究使用物理生物化学特征和产量数据识别了耐旱的Desi豆基因型,用于气候智能育种.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 遗传学 是一个遗传学.
背景情况:
- 干旱压力严重影响了小 (Cicer arietinum L.) 产量,对粮食安全构成威胁,特别是在发展中国家.
- 识别耐旱基因型对于开发气候适应性小豆品种至关重要.
研究的目的:
- 通过使用生理学,生化和产量相关的特征,选40种Desi豆基因型的干旱耐受性.
- 为了未来的育种计划,在干旱条件下识别具有优异表现的特定豆基因型.
主要方法:
- 物理生物化学分析包括相对含水量,口腔导电性,光合作用速率,叶绿素,糖,素含量和抗氧化酶活性.
- 产量试验评估每棵植物的种子产量,数和每棵植物的生物产量.
- 基于组件的双图分析,用于基于综合性特征的基因型选择.
主要成果:
- 基因型PG205,JG2016-44,JG63和JG24显示出基于生理指数的耐受性,保持较高的水分含量和光合作用率.
- 基因型ICC4958,JG11,JAKI9218,JG16,JG63和PG205通过生物化学指数表现出耐受性,具有较高的叶绿素,糖,素和抗氧化活性.
- 收益率试验发现JAKI9218,JG11,JG16和ICC4958在压力下具有高收益率.
- 通过累积评估,JG11,JAKI9218,ICC4958,JG16,JG63和PG205被选为最耐旱的基因型.
结论:
- 几种德西小基因型表现出显著的干旱耐受性,基于生理,生化和产量参数的组合.
- 这些精选的基因型为旨在提高干旱地区和气候变化情景下的小可持续性的育种计划提供了宝贵的遗传资源.
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