摘要
提高产量是水稻(Oryza sativa L.)育种的关键.为了快速有效地监测水稻产量,开展不同生育期水稻品种功能叶片叶绿素相对含量(Soil and plant analyzer development,SPAD)与产量的相关性研究,亦明确SPAD值测定的最佳生育时期,于广东省农业科学院钟落潭基地设置了两个水稻品种的不同氮肥处理早晚造试验.结果表明不同水稻品种叶片SPAD值均随生育进程的推进表现为降低趋势,随氮肥水平的增加而增加.随氮肥用量的增加水稻产量表现为先增加而后趋于稳定,且不同氮肥处理的产量和产量构成因素在早造和晚造均达显著差异水平(P<0.05).早造和晚造在分蘖期的水稻功能叶片SPAD值与产量之间均呈显著正相关关系(P<0.05),且拟合效果最好.因此,在分蘖期进行水稻产量预测的效果最佳.此结果为水稻早期产量预测提供了参考和依据.
Improving the yield is at the crux of rice(Oryza sativa L.)breeding.In order to monitor the yield of rice quickly,the correlation between chlorophyll relative content(SPAD)of functional leaves and yield of rice at different growth stages was performed to determine the optimum growth period for measuring SPAD value.The experiments of early rice and later rice were conducted on two rice varieties treated with different nitrogen fertilizer at the Zhongluotan base of Guangdong Academy of Agricultural Sciences.The results showed that the SPAD values of different rice varieties decreased with the growth process,but increased with the increase of nitrogen fertilizer level.With the increase of nitrogen fertilizer dosage,rice yield increased and then tended to remain stable,as well as the yield and its components of different nitrogen fertilizer treatments were significantly different in early and later rice(P<0.05).There was a significant positive correlation between SPAD value and yield of early and later rice functional leaves at the tillering stage(P<0.05),and both had the best fit.Therefore,the optimal effect is to predict rice yield at tillering stage.The results provide reference and basis for early prediction of rice yield under field conditions.
作者
黄影华
张华杰
陈秋玉
周丽燕
赵丽君
王睿哲
夏丽莎
付璐
李艳大
陈青春
HUANG Yinghua;ZHANG Huajie;CHEN Qiuyu;ZHOU Liyan;ZHAO Lijun;WANG Ruizhe;XIA Lisha;FU Lu;LI Yanda;CHEN Qingchun(College of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China;Institute of Agricultural Engineering, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China)
出处
《仲恺农业工程学院学报》
CAS
2021年第1期1-7,共7页
Journal of Zhongkai University of Agriculture and Engineering
基金
国家重点研发计划(2016YFD0300608、2018YFD020030610)资助项目.