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Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (7): 1209-1216.doi: 10.3724/SP.J.1006.2009.01209

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Strategy of Sampling for Pre-Core Collection of Sugarcane Hybrid

LIU Xin-Long1,3,CAI Qing2,MA Li1,3,WU Cai-Wen1,3,LU Xin1,3,YING Xiong-Mei1,3*   

  1. 1Sugarcane Research Institute,Yunnan Academy of Agricultural Sciences,Kaiyuan 661600,China;2Biotechnology & Genetic Resources Institute,Yunnan Academy of Agricultural Sciences,Kunming 650223,China;3Yunnan Key Laboratory of Sugarcane Genetic Improvement,Kaiyuan 661600,China
  • Received:2008-12-23 Revised:2009-03-18 Online:2009-07-12 Published:2009-05-18
  • Contact: FAN Yuan-Hong, E-mail: fyhysri@vip.sohu.com

Abstract:

Sugarcane is a major economic crop in the world and sugarcane hybrids provides an important gene pool for sugarcane. The National Nursery of Sugarcane Germplasm Resources (NNSGR) in China has maintained a large collection of sugarcane hybrids from over ten provinces of China and twenty countries around the world. In this study, 1 202 sugarcane hybrids were selected as materials, 26 sampling procedures were used, which consisted of 4 grouping principles (cluster grouping, grouping based on original regions, grouping based on planting regions and not grouping), 4 sampling proportions within group (simple proportion, logarithmic proportion, square root proportion and genetic proportion), 2 individual selection methods within group (random selection and cluster selection) on the basis of 23 quantitative and qualitative traits. At the same time, 10 grads for sampling percentage (5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, and 50%) from total resources were analyzed to decide the best one of them. The sampling strategies and the pre-core collection were validated and evaluated with five effective parameters including indices of genetic diversity, variance of phenotypic value, variance of phenotypic frequency, coefficient of variation and ratio of phenotypic traits retained. The result indicated that the cluster sampling was better than the random sampling; cluster grouping was the best grouping principle; square root proportion was the best sampling proportion within group in clustering sampling, genetic proportion was the best in random sampling. Finally, an optimal pre-core collection was set up based on cluster grouping, logarithmic proportion, and cluster sampling according to 10% sampling percentage by analyzing 26 sampling strategies and 10 sampling ratio. The pre-core collection contained 136 accessions, which accounted for 11.31% of total resources and its genetic diversity was better than that of total resources. They included 120 accessions sampled by program and 16 accessions chosen by directional selection, which included the elite ones and some with the rare phenotypic traits.

Key words: Sugarcane hybrid, Pre-core collection, Sampling strategy

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