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作物学报 ›› 2013, Vol. 39 ›› Issue (10): 1849-1855.doi: 10.3724/SP.J.1006.2013.01849

• 耕作栽培·生理生化 • 上一篇    下一篇

利用AMMI模型分析寒地水稻3个品质性状的基因型与环境互作

刘丽华1,胡远富2,陈乔1,李红宇1,钱永德1,吕艳东1,郑桂萍1,左豫虎1,*   

  1. 1 黑龙江八一农垦大学农学院, 黑龙江大庆163319；2 黑龙江省农垦牡丹江管理局双峰农场, 黑龙江密山158308
  • 收稿日期:2013-02-04 修回日期:2013-06-09 出版日期:2013-10-12 网络出版日期:2013-08-01
  • 通讯作者: 左豫虎, E-mail: zuoyhu@163.com
  • 基金资助:

    本研究由黑龙江省科技攻关重大项目(GA10B102)，黑龙江省普通高等学校重点实验室开放课题(2012-2013)，黑龙江省研究生创新科研资金项目(YJSCX2011-268HLJ)和大庆市科技计划项目(szd-2011-27)资助。

Interaction of Genotypes with Environments for Three Quality Traits of Rice in Cold Region by AMMI Model

LIU Li-Hua1,HU Yuan-Fu2,CHEN Qiao1,LI Hong-Yu1,QIAN Yong-De1,LÜ Yan-Dong1,ZHENG Gui-Ping1,ZUO Yu-Hu1,*   

  1. 1 Heilongjiang Bayi Agricultural University, Daqing 163319, China; 2 Shuangfeng Farm, Heilongjiang Mudanjiang Management Bureau, Mishan 158308, China
  • Received:2013-02-04 Revised:2013-06-09 Published:2013-10-12 Published online:2013-08-01
  • Contact: 左豫虎, E-mail: zuoyhu@163.com

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摘要：

为了给寒地水稻品种审定和推广应用提供科学依据, 将黑龙江省垦区6个寒地水稻品种(系)种植在6个不同生态点, 利用AMMI模型对其营养食味品质性状(蛋白质含量、游离脂肪酸含量、直链淀粉含量) 进行了稳定性和适应性分析。结果表明, 蛋白质含量、游离脂肪酸含量、直链淀粉含量3项指标在基因型间、环境间及基因型×环境互作间的方差均达到极显著水平, 这3项指标的交互效应主成分值(IPCA)差异也达到显著水平；影响营养食味品质稳定性的主要环境气候因子是穗期(抽穗至成熟期)日平均气温和日均气压, 穗期温度高、光照充足和少雨的环境有利于寒地稻米良好品质的形成；6个参试品种(系) 营养食味品质稳定性为建07-1023>空育131>龙粳20>饶选06-06>北粳9005=垦稻08-924, 6个农场对水稻品质影响为查哈阳农场>梧桐河农场>853农场=军川农场>850农场>290农场。

关键词: 水稻寒地, AMMI模型, 营养食味品质, 稳定性, 适应性

Abstract:

In order to provide a scientific basis for varietal approval and application of rice in cold region, the genetic stability and adaptability of six rice cultivars from Heilongjiang Reclamation region planted in six different ecological sites in Heilongjiang Province were evaluated for nutritional and eating quality traits (protein, free fatty acid and amylose contents) based on AMMI (additive main effects and multiplicative interactions) model. The results showed that differences in nutritional and eating quality traits among genotypes, environments and among genotype × environment interactions were all significant at 1% probability level. The protein content, free fatty acids content and amylose content were also significantly different in IPCA value. Environmental factors affecting stability of nutritional and eating quality traits were daily mean air temperature and daily mean air pressure from heading to maturity stages. The environment with high temperature, enough illumination and little rain at rice heading stage was advantageous to produce good quality of rice in cold region. The order of stability of nutritional and eating quality traits for the six cultivars was: Jian 07-1023>Kongyu 131>Longjing 20>Raoxuan 06-06>Beijing 9005=Kendao 08-924. The order for identifying rice quality of six test farms was: Chahayang Form >Wutonghe Form >853 Form =Junchuan Form >850 Form >290 Form.

Key words: Rice, Cold region, AMMI model, Nutritious and eating quality, Stability, Adaptability

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