CAJ | 학술논문

[目的]比较甘蓝型冬油菜品种的SPAD值、叶绿素含量、农艺性状、经济性状及产量性状之间差异，分析 SPAD值与其它指标的相关性，构建线性回归方程。[方法]以34个甘蓝型冬油菜品种为材料，测定它们的 SPAD值，叶绿素含量，农艺性状、经济性状及产量性状，根据相关性显著水平，构建线性回归方程。[结果]34个品种的 SPAD值、叶绿素含量、农艺性状、经济性状及产量间的差异均达极显著水平；SPAD值与叶绿素 a （chl-a），叶绿素 b （chl-b），总叶绿素（chl-z）和类胡萝卜含量（chl-x）相关性达到极显著水平，相关程度依次为 chl-b>chl-z>chl-a>chl-x；SPAD值与株高，单株总角果数，每角粒数，单株产量和实收产量呈显著正相关，与分枝点高度、有效分枝数，主轴结角密度，角果长度无显著相关。[结论]利用 SPAD值和线性回归方程式评估甘蓝型油菜叶绿素含量、经济性状和籽粒产量是一种简单快捷的方法。
[목적]비교감람형동유채품충적SPAD치、협록소함량、농예성상、경제성상급산량성상지간차이，분석 SPAD치여기타지표적상관성，구건선성회귀방정。[방법]이34개감람형동유채품충위재료，측정타문적 SPAD치，협록소함량，농예성상、경제성상급산량성상，근거상관성현저수평，구건선성회귀방정。[결과]34개품충적 SPAD치、협록소함량、농예성상、경제성상급산량간적차이균체겁현저수평；SPAD치여협록소 a （chl-a），협록소 b （chl-b），총협록소（chl-z）화류호라복함량（chl-x）상관성체도겁현저수평，상관정도의차위 chl-b>chl-z>chl-a>chl-x；SPAD치여주고，단주총각과수，매각립수，단주산량화실수산량정현저정상관，여분지점고도、유효분지수，주축결각밀도，각과장도무현저상관。[결론]이용 SPAD치화선성회귀방정식평고감람형유채협록소함량、경제성상화자립산량시일충간단쾌첩적방법。
[Objective] The aim was to compare differences of SPAD value, chloro-phyl content, agronomic characters, economic characters and yield traits to analyze correlation of SPAD value with other indices and establish regression functions. [Method] Based on 34 Brassica napus L. varieties, SPAD value, chlorophyl content, agronomic characters, economic characters and yield traits were measured and re-gression functions were established according to correlations. [Result] SPAD value, chlorophyl content, agronomic and economic characters and yield traits al achieved significant level in differences among 34 varieties. Specifical y, SPAD value was of extremely significant correlation with chlorophyl a and b, total chlorophyl and carotenoid, and the correlation from high to low was chl-b>chl-z>chl-a>chl-x. SPAD value was of significantly positive correlation with total pod number per plant, plant height, seed number per pod, yield per plant and harvest yield, and of insignificant correlation with branch point height, effective branch number, pod density of main stem, and pod length. [Conclusion] It is simple and rapid to predict chlorophyl con-tent, economic characters and yields of Brassica napus L. with SPAD value and re-gression functions.