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中国农学通报 ›› 2019, Vol. 35 ›› Issue (12): 107-111.doi: 10.11924/j.issn.1000-6850.casb18060095

所属专题: 园艺

• 林学 园艺 园林 • 上一篇    下一篇

喷水时长对葡萄叶片SPAD值和叶绿素含量的影响分析

刘洪波, 白云岗, 张江辉, 丁平   

  1. 新疆水利水电科学研究院
  • 收稿日期:2018-06-22 修回日期:2019-04-08 接受日期:2019-03-13 出版日期:2019-04-26 发布日期:2019-04-26
  • 通讯作者: 白云岗
  • 基金资助:
    国家自然科学基金地区基金项目“极端干旱区滴灌葡萄弥雾微气候调控机制研究”(51569034);国家自然科学基金NSFC-新疆联合基金项 目“根区灌溉条件下新疆干旱区葡萄生长对水分的响应与调控研究”(U1803112);自治区公益性科研院所基本科研业务经费资助项目“极端干旱区葡 萄园弥雾微气候调控及降温系统数值模拟”(KY2018117)。

Effect of Water Spray Duration on SPAD and Chlorophyll Content of Grape Leaves

  • Received:2018-06-22 Revised:2019-04-08 Accepted:2019-03-13 Online:2019-04-26 Published:2019-04-26

摘要: 为研究极端干旱区葡萄微喷条件下不同喷水时长对葡萄叶片SPAD值和叶绿素含量的影响,通过对葡萄各生育期叶绿素含量和SPAD值的测定,分析不同喷水时长处理下的SPAD值日变化及连日变化特征、SPAD值与叶绿素含量相关性及统计检验。结果显示,在不同喷水时长条件下,各处理的SPAD值呈先减小后增大的变化趋势,日变化值在40.1~45.1之间,其中,每天喷水1 h处理(WP1)的SPAD值(43.5)日平均值最高,其次是每天喷水2h处理(WP2)和每天喷水3 h处理(WP3),分别为42.9和42.6,对照处理(CK)的SPAD值最低(41.2)。葡萄叶片SPAD值与叶绿素a、叶绿素b、总叶绿素含量间均达到极显著正相关关系,其回归方程分别为Ca=0.0915VSPAD-1.787、Cb=0.0682VSPAD-1.9327、Ct=0.1597VSPAD-3.7197,表明利用SPAD值预测叶绿素a含量、b含量与总叶绿素含量是可行的,为快速测定大田葡萄叶片叶绿含量提供了新的方法。

关键词: 苎麻种质, 苎麻种质, 水培, 冬天, 成活率

Abstract: To study the effect of different water spray durations on the SPAD value and chlorophyll content of grape leaves under grape micro spray in extreme drought area, the variation of SPAD and the characteristics of daily change, and the correlation between the chlorophyll content and the SPAD value were analyzed by determining the chlorophyll content and the value of the chlorophyll in various growth stages of the grapes. The results showed that the SPAD value of each treatment decreased first and then increased, and the daily change value was between 40.1- 45.1, among which the daily average daily average value of SPAD (43.5) of 1 h treatment (WP1) was the highest, followed by that of 2 h treatment (WP2) and 3 h treatment (WP3) per day, which was 42.9 and 42.6, respectively, the SPAD value of the control was the lowest (41.2). The SPAD value of grape leaves was significantly and positively correlated with chlorophyll a, chlorophyll b and total chlorophyll content, and the regression equation was Ca=0.0915VSPAD-1.787, Cb=0.0682VSPAD-1.9327 and Ct=0.1597VSPAD- 3.7197, respectively, indicating that it was feasible to predict the content of chlorophyll a, b and total chlorophyll by using the SPAD value, thus to quickly determine the leaf green content of grape leaves in field.