甘薯块根产量性状生态变异及其与品质的相关性

Variability of sweet potato storage root under different ecological environments and its correlation with quality traits

  • 摘要: 选用"徐薯25"与"徐22-5"去雄杂交得到的105个后代材料, 在我国主要甘薯种植区4个不同生态点(徐州市、烟台市、万州市和南昌市)进行种植试验, 研究不同生态环境下甘薯产量性状的变异规律及其与品质性状间的相关性。结果表明, 除茎叶干率的基因型与环境互作差异未达显著水平外, 其余性状的基因型、环境以及基因型与环境互作差异均达显著水平, 主要产量性状表现为环境效应远大于基因型效应和基因型×环境互作效应。不同生态条件下, 主要产量性状的变幅很广, 单株鲜薯重变异系数最大, 单株干薯重变异系数次之, 而薯块烘干率的变异系数最小。在4个不同生态环境条件下, 徐州点的茎蔓长与单株分枝数最大, 茎粗与单株结薯数最小; 烟台点的茎粗、单株茎叶鲜重、茎叶干重和鲜薯重最高, 茎叶干率最低; 南昌点的茎蔓长、单株茎叶鲜重和茎叶干重最低, 薯块烘干率、茎叶干率、单株结薯数及干薯重最高; 万州点的薯块烘干率、单株分枝数、鲜薯重和干薯重最小。结合相关性结果可知, 在所有供试地点中, 单株鲜薯重与蛋白质含量显著负相关, 表明甘薯高产、高蛋白质育种工作难度较大。

     

    Abstract: Sweet potato is an important food/energy crop and is crucial for addressing poverty and malnutrition in developing countries. In addition to inherited issues, sweet potato is highly sensitive to environment conditions. Genotypic variations in yield-related traits and their relationships with main storage root quality traits were investigated using the 105 sweet potato hybrids (derived from "Xushu 25" and "Xu 22-5") in four ecological environments (Xuzhou City, Yantai City, Wanzhou City and Nanchang City). The vine length, stem diameter, branch number, storage root number, aboveground fresh weight, aboveground dry matter content, storage root fresh weight, and storage root dry matter content were investigated in the study. Carotene content was determined using the acetone extraction method. Starch, reducing sugar, soluble sugar and protein contents were measured using the near infrared reflectance spectrometer method in the laboratory. The results showed that environment (E), genotype (G) and their interactions (E×G) had significant (P < 0.01 or P < 0.05) impacts on main yield traits. E×G had no significant effect on aboveground dry matter content. The effects of environment on main yield-related traits were much higher than those of genotype and E×G. There was a wide range of main yield traits for different ecological conditions. The highest coefficient of variation was for the fresh weight of storage root per plant, followed by dry weight of storage root per plant (which was for Yantai site). The lowest coefficient of variation was dry matter content of storage root (for Xuzhou site). For the four experimental sites, the highest vine length and branch number per plant, and the lowest stem diameter and storage root number per plant were in Xuzhou site. The highest stem diameter, aboveground fresh weight, aboveground dry weight and fresh weight of storage root per plant, and the lowest aboveground dry matter content were in Yantai site. The lowest vine length, aboveground fresh weight and aboveground dry weight per plant, and the highest aboveground dry matter content, dry matter content of storage root, storage root number and dry weight of storage root per plant were in Nanchang site. The lowest dry matter content of storage root, branch number, fresh weight of storage root and dry weight of storage root per plant were in Wanzhou site. For Xuzhou site, dry weight of storage root per plant had a positive correlation with starch content. Fresh and dry weights of storage root per plant had negative correlation with protein content. For Yantai site, fresh weight of storage root had positive and significant correlation with total carotenoid content. Also the fresh and dry weights of storage root had negative correlation with protein content. For Nanchang site, fresh weight of storage root had positive correlation with soluble sugar content, but negative correlation with protein content. The dry weight of storage root was positively correlated with starch content. Then for Wanzhou site, fresh weight of storage root was positively correlated with starch content. It was then concluded from the results of the correlation analysis that the fresh weight of storage root per plant was negatively correlated with protein content. This suggested that it was difficult to get sweet potato varieties with high yield and high protein.

     

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