为估计生物资源和叶区域索引(LAI ) 的买得起、容易使用的方法将具有对大多数繁殖节目的兴趣。这里，我们为针对提供生物资源和 LAI 的低劳动的还柔韧的指示物的摄影采样和图象分析描述一个协议的评估。在这试用， triticale 的二遗传型，二面包小麦，和四 tritordeum 被学习。在六个日期，在成长期间，周期，生物资源和 LAI 破坏地被测量，并且数字摄影在一样的日期上被拿。几个植被索引从每幅图象被计算。结果证明这些索引的可重复、一致的价值在一样的阴谋上在连续摄影采样被获得。摄影索引高度与破坏大小被相关，尽管关联的大小在开花期以后是更低的。这个工作证明对生物资源和 LAI 的摄影评价能是快的，买得起，好重覆性，和罐头在明亮、阴暗的天空下面被使用了。从图画导出的一个实际植被索引是在图象的全部的象素上的绿象素的部分，并且与所有生物资源变量作为它显示出好关联，对点亮条件最柔韧并且有容易的解释。
Affordable and easy-to-use methods for assessing biomass and leaf area index （LAI） would be of interest in most breeding programs. Here, we describe the evaluation of a protocol for photographic sampling and image analysis aimed at providing low-labor yet robust indicators of biomass and LAI. In this trial, two genotypes of triticale, two of bread wheat, and four of tritordeum were studied. At six dates during the growing cycle, biomass and LAI were measured destructively, and digital photography was taken on the same dates. Several vegetation indices were calculated from each image. The results showed that repeatable and consistent values of the indices were obtained in consecutive photographic samplings on the same plots. The photographic indices were highly correlated with the destructive measure-ments, though the magnitude of the correlation was lower after anthesis. This work shows that photographic assess-ment of biomass and LAI can be fast, affordable, have good repeatability, and can be used under bright and overcast skies. A practical vegetation index derived from pictures is the fraction of green pixels over the total pixels of the image, and as it shows good correlations with all biomass variables, is the most robust to lighting conditions and has easy interpretation.
Journal of Integrative Plant Biology
ACKNOWLEDGEMENTS This work was funded by the Spanish Ministry of Science and Innovation, project AGL2005-07257-C04-03 and by the Spanish Ministry of Agriculture, projects RTA2010-00007-00-00 and RTA2012-00011-00-00.