Principal Component Analysis and Comprehensive Evaluation of Main Agronomic Traits of New Varieties of Tartary Buckwheat in Southern Mountainous Areas of Ningxia.Principal Component Analysis and Comprehensive Evaluation of Main Agronomic Traits of New Varieties of Tartary Buckwheat in Southern Mountainous Areas of Ningxia[J].HEILONGJIANG AGRICULTURAL SCIENCES,2024,(12):21-28.[doi:10.11942/j.issn1002-2767.2024.12.0021]
宁南山区苦荞新品种主要农艺性状主成分分析及综合评价
- Title:
- Principal Component Analysis and Comprehensive Evaluation of Main Agronomic Traits of New Varieties of Tartary Buckwheat in Southern Mountainous Areas of Ningxia
- 文章编号:
- 4
- Keywords:
- tartary buckwheat; new varieties; agronomic characters; principal component analysis; comprehensive evaluation
- 文献标志码:
- A
- 摘要:
- 为了筛选出适宜在宁南山区不同气候类型区种植的苦荞新品种，促进荞麦产业化发展，以引进和自主选育参试的5个苦荞新品种为材料，分别在半干旱区和中部干旱区的5县（区）布设多点试验，并对品种主要农艺性状进行相关性、变异系数、主成分分析及综合评价。结果表明，通过对影响籽粒产量的株高、单株粒数、单株粒重、一级分枝数、密度等主要性状指标进行相关性和主成分分析，并结合方差分解主成分特征贡献率分析。结果表明，提取主成分PCA1~PCA3特征值累计贡献率达到93.424%~98.714%。其中第1主成分占37.764%~50.335%，主要以单株粒重、单株粒数、株高的特征向量均大于其他农艺性状；第2主成分占30.478%~31.255%，主要以田间密度、株高和一级分枝为群体生长因子为主；第3主成分占17.901%~24.404%，为主茎节数和千粒重对产量的影响。参试品种晋荞2号和黔黑荞5号在半干旱区和中部干旱区主成分总得分系数分别为1.79,1.09和1.44,3.13。综上，筛选出综合农艺性状优异，产量高和稳定性好，适宜在宁南山区半干旱区和中部干旱区种植的品种为晋荞麦2号和黔黑荞5号，川荞麦3号为中晚熟品种可选择在水热条件较好的地区种植。
- Abstract:
- In order to select excellent varieties suitable for tartary buckwheat local cultivation. Five new varieties of tartary buckwheat were introduced and independently selected as materials, multiple experiments were conducted in 5 counties (districts) in semi-arid and central arid regions, and correlation and coefficient of variation, principal component analysis, and comprehensive evaluation were conducted on the main agronomic traits of the varieties. By conducting correlation and principal component analysis on the main trait indicators that affect grain yield, such as plant height, number of grains per plant, grain weight per plant, number of primary branches, density, etc, and combined with variance decomposition principal component feature contribution analysis. The results showed that the cumulative contribution rate of PCAPCA3feature values to the extraction of principal components reached 93.424%-98.714%. The first principal component accounts for 37.764% -50.335%, mainly with the eigenvectors of grain weight per plant, grain number per plant, and plant height being greater than other agronomic traits. The second principal component accounts for 30.478%-31.255%, mainly consisting of field density, plant height, and primary branching as population growth factors.The third principal component accounts for 17.901%-24.404%, which was the impact of the number of main stem nodes and thousand grain weight on yield. The comprehensive score coefficients of principal component analysis for the tested varieties Jinqiao 2 and Qianheiqiao 5 in semi-arid and central arid regions were 1.79, 1.09, and 1.44,3.13, respectively. In summary, Jinqiao 2 and Qianheiqiao 5 with excellent comprehensive agronomic traits, high yield and good stability, suitable for planting in semi-arid and central arid areas of the Southern Mountainous Areas of Ningxia. Chuanqiaomai 3 were selected as mid to late maturing varieties that can be planted in areas with better water and heat conditions.
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备注/Memo
收稿日期：2024-06-25