中国农业科学 ›› 2017, Vol. 50 ›› Issue (14): 2658-2669.doi: 10.3864/j.issn.0578-1752.2017.14.003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于地统计分析方法的谷子种质资源品质与农艺相关性状的空间分区研究

陈彦清,曹永生,陈丽娜,方沩   

  1. 中国农业科学院作物科学研究所,北京 100081
  • 收稿日期:2016-12-23 出版日期:2017-07-16 发布日期:2017-07-16
  • 通讯作者: 方沩,Tel:010-62186693;E-mail:fangwei@caas.cn
  • 作者简介:陈彦清,Tel:010-62186693;E-mail:chenyanqing@caas.cn
  • 基金资助:
    国家农作物种质资源平台(NICGR2016)、农作物种质资源保护与利用专项(2016NWB036-10)

A Spatial Partition Statistical Analysis for Quality and Agronomic Traits of Foxtail Millet Germplasm Resources

CHEN YanQing, CAO YongSheng, CHEN LiNa, FANG Wei   

  1. Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081
  • Received:2016-12-23 Online:2017-07-16 Published:2017-07-16

摘要: 【目的】分析中国谷子资源相关农艺及品质性状的空间分布特点,掌握相关性状在空间上的总体质量分布,提高对谷子资源的宏观认知和有效保护及高效利用。【方法】本研究从地理空间的角度出发,利用空间插值、空间聚类等方法研究了谷子资源的相关性状的空间分布规律。首先对谷子资源的目标性状值进行插值,然后将全国网格化数据与插值数据进行分区统计,利用统计后的网格数据进行优化热点分析形成目标性状的空间分区数据,进而寻找目标性状对应的高值、随机值和低值区域。【结果】谷子资源在全国的分布上来说,粗蛋白含量平均值为(13.98±1.23)%,变幅在10.47%—17.33%,变异系数为8.80%;粗脂肪含量平均值为(4.01±0.38)%,变幅在3.08%—5.47%,变异系数为9.48%,单株粒重平均值为(10.39±4.13)g,变幅在1.65—29.30g,变异系数为39.75%;生育期平均值为(111.46±10.94)d,变幅在79.15—150.43 d,变异系数为9.81%。从区域聚集分布上来说,粗蛋白含量低值区、随机值区和高值区的平均值分别为(12.80±0.70)%、(13.98±0.39)%和(15.24±0.42)%,变幅分别在10.47%—14.90%、12.72%—15.30%和13.61%—17.33%,变异系数分别为5.47%、2.79%和2.76%;粗脂肪含量低值区、随机值区和高值区的平均值分别为(3.69±0.13)%、(3.99±0.16)%和(4.41±0.26)%,变幅分别为3.11%—4.39%、3.08%—4.48%和3.57%—5.47%,变异系数分别为3.52%、4.01%和5.89%;单株粒重低值区、随机值区和高值区的平均值分别为(6.49±1.84)g、(10.51±1.49)g和(14.44±2.88)g,变幅分别为(1.65—13.38)、(5.42—16.54)和(7.63—29.30)g,变异系数分别为23.73%、14.18%和19.94%;生育期低值区、随机值区和高值区的平均值分别为(99.58±6.64)d、(111.89±2.99)d和(121.17±6.04)d,变幅分别为(79.15—116.81)d、(99.53—124.44)d和(108.34—150.43)d,变异系数分别为6.67%、2.67%和4.98%。【结论】谷子资源粗蛋白含量高值区内部差异最小,主要集中在新疆和黑龙江省东北部,低值区内部差异最大,主要在中部和东部,高低值区间存在随机值过度地带,呈现两侧向中间越来越小的分布趋势;粗脂肪含量高值区内部差异最大,主要集中在中部地区,低值区内部差异最小,主要分布在新疆和东北部分地区,呈现中间向两侧越来越小的趋势分布,且分区相对不规整;单株粒重的随机值区内部差异最小,高值区内部差异最大,宁夏、山西、陕西等地属于单株粒重高值区,黑龙江、浙江、内蒙北部、安徽南部以及西南大部分地区,均属单株粒重低值区;生育期的随机值区内部差异最小,低值区内部差异最大,东北大部分地区、西北和西南部分地区生育期较长,河南、山东、河北等谷子夏播期的地区生育期较短。

关键词: 谷子, 种质资源, 目标性状, 空间插值, 空间分布

Abstract: 【Objective】 The objective of this paper is to analyze the spatial distribution characteristics of related agronomic traits and quality of millet germplasm resources in China, grasp the overall quality in spatial distribution, improve the macro cognition of millet resources and effective protection and utilization. 【Method】 From the point of view of geographical space, the methods of spatial interpolation and spatial clustering were used to study the spatial distribution rules of the related traits of foxtail millet resources. Firstly, spatial interpolation was made for target traits of foxtail millet resources, partition statistics method was used to analyze national grid and interpolation data and the optimized hot spot analysis method was used to get the spatial partition data. Finally, the high value, random value and low value spatial distribution of foxtail millet related traits were found. 【Result】 The results of the distribution of the foxtail millet resources in the country show that the average of crude protein content of foxtail millet resources is (13.98±1.23)%, the range is 10.47%-17.33%, the coefficient of variation is 8.80%. The average of crude fat content is (4.01±0.38)%, the range is 3.08%-5.47%, the coefficient of variation is 9.48%. The average of grain weight per plant is (10.39±4.13) g, the range is 1.65-29.30 g, the coefficient of variation is 39.75%. The average of growth period is (111.46±10.94) d, the range is 79.15-150.43 d, the coefficient of variation is 9.81%. From the aspect of the cluster distribution areas, the average values of crude protein content in low value area, random value area and high value area are (12.80±0.70) %, (13.98±0.39)% and (15.24±0.42)%, respectively, the amplitude of variations of the three areas, respectively, are 10.47%-14.90%, 12.72%-15.30% and 13.61%-17.33%, the variation coefficients of the three areas, respectively, are 5.47%, 2.79% and 2.76%. The average values of crude fat content in low value area, random value area and high value area are (3.69±0.13) %, (3.99±0.16) % and (4.41±0.26)%, respectively, the amplitude of variations of the three areas, respectively, are 3.11%-4.39%, 3.08%-4.48% and 3.57%-5.47%, the variation coefficients of the three areas, respectively, are 3.52%, 4.01% and 5.89%. The average values of grain weight per plant in low value area, random value area and high value area are (6.49±1.84) g, (10.51±1.49)g and (14.44±2.88)g, respectively, the amplitude of variations of the three areas, respectively, are 1.65-13.38 g, 5.42-16.54 g and 7.63-29.30 g, the variation coefficients of the three areas respectively are 23.73%, 14.18% and 19.94%. The average values of growth period in low value area, random value area and high value area are (99.58±6.64)d, (111.89±2.99)d and (121.17±6.04)d, respectively, the amplitude of variations of the three areas, respectively, are 79.15-116.81d, 99.53-124.44 d and 108.34-150.43 d, the variation coefficients of the three areas respectively are6.67%, 2.67% and 4.98%. 【Conclusion】The internal differences in the high value regions of crude protein content are the minimum and these regions are mainly concentrated in Xinjiang and the northeast of Heilongjiang province. The internal differences of the low value regions are the maximum and they are mainly distributed in the central and Eastern zones. Random value regions are mainly distributed in the areas which located between high value and low value regions. The distribution of crude protein content shows an increasing trend in the two sides. On the contrary, the high value regions of crude fat content own the maximum internal differences, which are mainly concentrated in central zones of China, the low value regions’ internal differences are the minimum, which are mainly distributed in Xinjiang and the northeast of China. The distribution of crude fat content shows a decreasing trend in the two sides and the regions are relatively not regular. The internal differences in random value areas of grain weight per plant are the minimum, and the high value areas are the maximum. Ningxia, Shanxi, Shaanxi and other places belong to the high value areas of grain weight per plant, Heilongjiang, Zhejiang, northern Inner Mongolia, southern Anhui and southwestern parts belong to the low value areas. The internal differences in random value areas of growth period are the minimum, and the low value areas are the maximum. The growth period of foxtail millet in Northeast China, northwest and southwest Henan is relatively long, and Shandong, Hebei and other areas where summer foxtail millet is planted, belong to the short growth period regions.

Key words: foxtail millet, germplasm resources, target traits, spatial interpolation, spatial distribution